2025-08-14T21:16:56.3719554Z Current runner version: '2.328.0' 2025-08-14T21:16:56.3724633Z Runner name: 'i-0e2ec405c00abd8cb' 2025-08-14T21:16:56.3725308Z Runner group name: 'default' 2025-08-14T21:16:56.3725979Z Machine name: 'ip-10-0-70-109' 2025-08-14T21:16:56.3728056Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:16:56.3730751Z Contents: read 2025-08-14T21:16:56.3731148Z Metadata: read 2025-08-14T21:16:56.3731633Z ##[endgroup] 2025-08-14T21:16:56.3733386Z Secret source: Actions 2025-08-14T21:16:56.3733927Z Prepare workflow directory 2025-08-14T21:16:56.4122634Z Prepare all required actions 2025-08-14T21:16:56.4154548Z Getting action download info 2025-08-14T21:16:56.6893262Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:16:59.0085122Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:17:14.2995292Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:17:14.6394811Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:17:14.8994712Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:17:15.0973132Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:17:15.3878208Z Getting action download info 2025-08-14T21:17:15.4952601Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:17:15.7816165Z Getting action download info 2025-08-14T21:17:15.8874676Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:17:16.0903035Z Getting action download info 2025-08-14T21:17:16.1924837Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:17:16.3705264Z Getting action download info 2025-08-14T21:17:16.5099955Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:17:16.5103331Z ##[group] Inputs 2025-08-14T21:17:16.5103608Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:17:16.5105280Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:17:16.5107170Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:17:16.5107705Z sync-tag: 2025-08-14T21:17:16.5108645Z timeout-minutes: 240 2025-08-14T21:17:16.5108862Z use-gha: 2025-08-14T21:17:16.5109021Z dashboard-tag: 2025-08-14T21:17:16.5109198Z s3-bucket: gha-artifacts 2025-08-14T21:17:16.5109381Z aws-role-to-assume: 2025-08-14T21:17:16.5109776Z disable-monitor: false 2025-08-14T21:17:16.5109966Z monitor-log-interval: 5 2025-08-14T21:17:16.5159198Z monitor-data-collect-interval: 1 2025-08-14T21:17:16.5159977Z ##[endgroup] 2025-08-14T21:17:16.5160332Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:17:16.5657639Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:17:16.5737848Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:17:16.5745377Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:16.5745861Z ##[endgroup] 2025-08-14T21:17:17.6093962Z Runner Type: linux.8xlarge.amx 2025-08-14T21:17:17.6094581Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:17:17.6094942Z AMI Name: unknown 2025-08-14T21:17:17.6134703Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:17:21.9460672Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:17:21.9461076Z with: 2025-08-14T21:17:21.9461822Z github-secret: *** 2025-08-14T21:17:21.9462345Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:17:21.9462914Z activate-with-label: false 2025-08-14T21:17:21.9463164Z label: with-ssh 2025-08-14T21:17:21.9463411Z remove-existing-keys: true 2025-08-14T21:17:21.9463695Z fail-silently: true 2025-08-14T21:17:21.9463948Z env: 2025-08-14T21:17:21.9464160Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:21.9464413Z ##[endgroup] 2025-08-14T21:17:22.0723545Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:17:22.0724476Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:17:22.0930876Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:17:22.0931215Z with: 2025-08-14T21:17:22.0931490Z no-sudo: true 2025-08-14T21:17:22.0931802Z submodules: recursive 2025-08-14T21:17:22.0932028Z fetch-depth: 0 2025-08-14T21:17:22.0932299Z env: 2025-08-14T21:17:22.0932527Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:22.0932784Z ##[endgroup] 2025-08-14T21:17:22.1093863Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:17:22.1094587Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:17:22.1102633Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:22.1102878Z env: 2025-08-14T21:17:22.1103040Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:22.1103216Z ##[endgroup] 2025-08-14T21:17:22.1268592Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:17:22.1268924Z # Use all available CPUs for fetching 2025-08-14T21:17:22.1269163Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:17:22.1269426Z git config --global fetch.parallel 0 2025-08-14T21:17:22.1269665Z git config --global submodule.fetchJobs 0 2025-08-14T21:17:22.1269868Z  2025-08-14T21:17:22.1270108Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:17:22.1270385Z # do it here as well just in case 2025-08-14T21:17:22.1270577Z if [[ -d .git ]]; then 2025-08-14T21:17:22.1270767Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:17:22.1270985Z  sudo git clean -ffdx 2025-08-14T21:17:22.1271166Z  else 2025-08-14T21:17:22.1271321Z  git clean -ffdx 2025-08-14T21:17:22.1271489Z  fi 2025-08-14T21:17:22.1271635Z fi 2025-08-14T21:17:22.1276136Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:22.1276375Z env: 2025-08-14T21:17:22.1276672Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:22.1276863Z NO_SUDO: true 2025-08-14T21:17:22.1277020Z ##[endgroup] 2025-08-14T21:17:22.1398670Z ##[group]Run actions/checkout@v4 2025-08-14T21:17:22.1398891Z with: 2025-08-14T21:17:22.1399066Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:17:22.1399442Z fetch-depth: 0 2025-08-14T21:17:22.1399596Z submodules: recursive 2025-08-14T21:17:22.1399769Z show-progress: false 2025-08-14T21:17:22.1399940Z repository: pytorch/pytorch 2025-08-14T21:17:22.1400203Z token: *** 2025-08-14T21:17:22.1400582Z ssh-strict: true 2025-08-14T21:17:22.1400812Z ssh-user: git 2025-08-14T21:17:22.1400998Z persist-credentials: true 2025-08-14T21:17:22.1401224Z clean: true 2025-08-14T21:17:22.1401460Z sparse-checkout-cone-mode: true 2025-08-14T21:17:22.1401679Z fetch-tags: false 2025-08-14T21:17:22.1401838Z lfs: false 2025-08-14T21:17:22.1401997Z set-safe-directory: true 2025-08-14T21:17:22.1402197Z env: 2025-08-14T21:17:22.1402338Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:22.1402503Z ##[endgroup] 2025-08-14T21:17:22.2314085Z Syncing repository: pytorch/pytorch 2025-08-14T21:17:22.2315076Z ##[group]Getting Git version info 2025-08-14T21:17:22.2315374Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:17:22.2315809Z [command]/usr/bin/git version 2025-08-14T21:17:22.2530259Z git version 2.47.1 2025-08-14T21:17:22.2555677Z ##[endgroup] 2025-08-14T21:17:22.2564591Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/21577b2b-7058-480d-a99c-f136002eb9da/.gitconfig' 2025-08-14T21:17:22.2597036Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/21577b2b-7058-480d-a99c-f136002eb9da' before making global git config changes 2025-08-14T21:17:22.2599545Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:17:22.2616696Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:17:22.2677874Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:17:22.2678838Z ##[group]Initializing the repository 2025-08-14T21:17:22.2683471Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:17:22.2747411Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:17:22.2752471Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:17:22.2754441Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:17:22.2754871Z hint: 2025-08-14T21:17:22.2759319Z hint: git config --global init.defaultBranch 2025-08-14T21:17:22.2763447Z hint: 2025-08-14T21:17:22.2763767Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:17:22.2764144Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:17:22.2764402Z hint: 2025-08-14T21:17:22.2764569Z hint: git branch -m 2025-08-14T21:17:22.2774624Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:17:22.2784084Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:17:22.2830984Z ##[endgroup] 2025-08-14T21:17:22.2833580Z ##[group]Disabling automatic garbage collection 2025-08-14T21:17:22.2838318Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:17:22.2870723Z ##[endgroup] 2025-08-14T21:17:22.2871198Z ##[group]Setting up auth 2025-08-14T21:17:22.2874912Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:17:22.2902591Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-14T21:17:22.3297341Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:17:22.3330053Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-14T21:17:22.3678369Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:17:22.3762256Z ##[endgroup] 2025-08-14T21:17:22.3766469Z ##[group]Fetching the repository 2025-08-14T21:17:22.3769244Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:18:06.0403132Z From https://github.com/pytorch/pytorch 2025-08-14T21:18:06.0404004Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:18:06.0404310Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:18:06.0404702Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:18:06.0405223Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:18:06.0408045Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:18:06.0408636Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:18:06.0413912Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:18:06.0418963Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:18:06.0421051Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:18:06.0421552Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:18:06.0425213Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:18:06.0425709Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:18:06.0427592Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:18:06.0427912Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:18:06.0428222Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:18:06.0428610Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:18:06.0433770Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:18:06.0437764Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:18:06.0439969Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:18:06.0444642Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:18:06.0446163Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:18:06.0446598Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:18:06.0447025Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:18:06.0451176Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:18:06.0453663Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:18:06.0454176Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:18:06.0459150Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:18:06.0463398Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:18:06.0468028Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:18:06.0472391Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:18:06.0474401Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:18:06.0474836Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:18:06.0475473Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:18:06.0475854Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:18:06.0476256Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:18:06.0476639Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:18:06.0476967Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:18:06.0477350Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:18:06.0477734Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:18:06.0478058Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:18:06.0478386Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:18:06.0478690Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:18:06.0478977Z 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2025-08-14T21:18:06.3915135Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:18:06.3915514Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:18:06.3915969Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:18:06.3916395Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:18:06.3916815Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:18:06.3917803Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:18:06.3917966Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:18:06.3920216Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:18:06.3920518Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:18:06.3920690Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:18:06.3920810Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:18:06.3921048Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:18:06.3921188Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:18:06.3922583Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:18:06.3923012Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:18:06.3923250Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:18:06.3923363Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:18:06.3924932Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:18:06.3925346Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:18:06.3925695Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:18:06.3926027Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:18:06.3926393Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:18:06.3927596Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:18:06.3927771Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:18:06.3927898Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:18:06.3928350Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:18:06.3928788Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:18:06.3929172Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:18:06.3929598Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:18:06.3930173Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:18:06.3930454Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:18:06.3930971Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:18:06.3931267Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:18:06.3931838Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:18:06.3932110Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:18:06.3932621Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:18:06.3932930Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:18:06.3933908Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:18:06.3934234Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:18:06.3935059Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:18:06.3935261Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:18:06.3935662Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:18:06.3938430Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:18:06.3938602Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:18:06.3938735Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:18:06.3938857Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:18:06.3938970Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:18:06.3939080Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:18:06.3939370Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:18:06.3939650Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:18:06.3939783Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:18:06.3940334Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:18:06.3940947Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:18:06.3941151Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:18:06.3941730Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:18:06.3941867Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:18:06.3944082Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:18:06.3944397Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:18:06.3944548Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:18:06.3944666Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:18:06.3944774Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:18:06.3945015Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:18:06.3945150Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:18:06.3945707Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:18:06.3945886Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:18:06.3946303Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:18:06.3949950Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:18:06.3950267Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:18:06.3950550Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:18:06.3950666Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:18:06.3950774Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:18:06.3951030Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:18:06.3951142Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:18:06.3951257Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:18:06.3951366Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:18:06.3951478Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:18:06.3951599Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:18:06.3951991Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:18:06.3952409Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:18:06.3952930Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:18:06.3953369Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:18:06.3953845Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:18:06.3954187Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:18:06.3954625Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:18:06.3955056Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:18:06.3956368Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:18:06.3956682Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:18:06.3956824Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:18:06.3957009Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:18:06.3957448Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:18:06.3957868Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:18:06.3958277Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:18:06.3959063Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:18:06.3959210Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:18:06.3961917Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:18:06.3962228Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:18:06.3962360Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:18:06.3962559Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:18:06.3962690Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:18:06.3962886Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:18:06.3963003Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:18:06.3963193Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:18:06.3963786Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:18:06.3963933Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:18:06.3964129Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:18:06.3964522Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:18:06.3965297Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:18:06.3965452Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:18:06.3966008Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:18:06.3968813Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:18:06.3968969Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:18:06.3969094Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:18:06.3969206Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:18:06.3969353Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:18:06.3969464Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:18:06.3969571Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:18:06.3969749Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:18:06.3970246Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:18:06.3970821Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:18:06.3971442Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:18:06.3971622Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:18:06.3972245Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:18:06.3972921Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:18:06.3973175Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:18:06.3973513Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:18:06.3974254Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:18:06.3974491Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:18:06.3975012Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:18:06.3975459Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:18:06.3975851Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:18:06.3977880Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:18:06.3978213Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:18:06.3978373Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:18:06.3978510Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:18:06.3978622Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:18:06.3978954Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:18:06.3979677Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:18:06.3979806Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:18:06.3982302Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:18:06.3982624Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:18:06.3982772Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:18:06.3982970Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:18:06.3983201Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:18:06.3983324Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:18:06.3983630Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:18:06.3984065Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:18:06.3984509Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:18:06.3985021Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:18:06.3985741Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:18:06.3985939Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:18:06.3986386Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:18:06.3986854Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:18:06.3987370Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:18:06.3990948Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:18:06.3991263Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:18:06.3991405Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:18:06.3991530Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:18:06.3991651Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:18:06.3991910Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:18:06.3992168Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:18:06.3992762Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:18:06.3992907Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:18:06.3993047Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:18:06.3993159Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:18:06.3993332Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:18:06.3993766Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:18:06.3994291Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:18:06.3994688Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:18:06.3995067Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:18:06.3995488Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:18:06.3995911Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:18:06.3996364Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:18:06.3997459Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:18:06.3997609Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:18:06.3997926Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:18:06.3999557Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:18:06.3999865Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:18:06.4000019Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:18:06.4000220Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:18:06.4000531Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:18:06.4000818Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:18:06.4001503Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:18:06.4005313Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:18:06.4005633Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:18:06.4005767Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:18:06.4005958Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:18:06.4006082Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:18:06.4006319Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:18:06.4006757Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:18:06.4006901Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:18:06.4007030Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:18:06.4007143Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:18:06.4007263Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:18:06.4007609Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:18:06.4007746Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:18:06.4008101Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:18:06.4008216Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:18:06.4009098Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:18:06.4009635Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:18:06.4009806Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:18:06.4010021Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:18:06.4010254Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:18:06.4010765Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:18:06.4011121Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:18:06.4011997Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:18:06.4015641Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:18:06.4015943Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:18:06.4016085Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:18:06.4016220Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:18:06.4016331Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:18:06.4016441Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:18:06.4016680Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:18:06.4016808Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:18:06.4017441Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:18:06.4017605Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:18:06.4017990Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:18:06.4018496Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:18:06.4018839Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:18:06.4019546Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:18:06.4019933Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:18:06.4020390Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:18:06.4020859Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:18:06.4021582Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:18:06.4021733Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:18:06.4024797Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:18:06.4025105Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:18:06.4025270Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:18:06.4025458Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:18:06.4025696Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:18:06.4025811Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:18:06.4026038Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:18:06.4026172Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:18:06.4026471Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:18:06.4027045Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:18:06.4027199Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:18:06.4027588Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:18:06.4028778Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:18:06.4029086Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:18:06.4029390Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:18:06.4029804Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:18:06.4031638Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:18:06.4031982Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:18:06.4032146Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:18:06.4032293Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:18:06.4032491Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:18:06.4032611Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:18:06.4032748Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:18:06.4033218Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:18:06.4037167Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:18:06.4037464Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:18:06.4037643Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:18:06.4037814Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:18:06.4038105Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:18:06.4038529Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:18:06.4039101Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:18:06.4039268Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:18:06.4039400Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:18:06.4039514Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:18:06.4039642Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:18:06.4039764Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:18:06.4040038Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:18:06.4040662Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:18:06.4040834Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:18:06.4042943Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:18:06.4043263Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:18:06.4043554Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:18:06.4043970Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:18:06.4044219Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:18:06.4044682Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:18:06.4045553Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:18:06.4045934Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:18:06.4046329Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:18:06.4047868Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:18:06.4048513Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:18:06.4048695Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:18:06.4048995Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:18:06.4049495Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:18:06.4050063Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:18:06.4050805Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:18:06.4051195Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:18:06.4051627Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:18:06.4052083Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:18:06.4052590Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:18:06.4052906Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:18:06.4053828Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:18:06.4054166Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:18:06.4054535Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:18:06.4054911Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:18:06.4055614Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:18:06.4055763Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:18:06.4059622Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:18:06.4059781Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:18:06.4059908Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:18:06.4060019Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:18:06.4060133Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:18:06.4060238Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:18:06.4060355Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:18:06.4060457Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:18:06.4060738Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:18:06.4060868Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:18:06.4061619Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:18:06.4061932Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:18:06.4062200Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:18:06.4064063Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:18:06.4064369Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:18:06.4064528Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:18:06.4064715Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:18:06.4065184Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:18:06.4065977Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:18:06.4066129Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:18:06.4068287Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:18:06.4068761Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:18:06.4069003Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:18:06.4069136Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:18:06.4073310Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:18:06.4073455Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:18:06.4073722Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:18:06.4074054Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:18:06.4074178Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:18:06.4074403Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:18:06.4074824Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:18:06.4074958Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:18:06.4075217Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:18:06.4075332Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:18:06.4075432Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:18:06.4075537Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:18:06.4075878Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:18:06.4076012Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:18:06.4076127Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:18:06.4076470Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:18:06.4077562Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:18:06.4077710Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:18:06.4077946Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:18:06.4078378Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:18:06.4078803Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:18:06.4079191Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:18:06.4079656Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:18:06.4080199Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:18:06.4080692Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:18:06.4081118Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:18:06.4081623Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:18:06.4081770Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:18:06.4082213Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:18:06.4082617Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:18:06.4083049Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:18:06.4083468Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:18:06.4084684Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:18:06.4084992Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:18:06.4085115Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:18:06.4085482Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:18:06.4085906Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:18:06.4087071Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:18:06.4087215Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:18:06.4087328Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:18:06.4087711Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:18:06.4088127Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:18:06.4088586Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:18:06.4089069Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:18:06.4089418Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:18:06.4089909Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:18:06.4090309Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:18:06.4090838Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:18:06.4091252Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:18:06.4091991Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:18:06.4092130Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:18:06.4092867Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:18:06.4093520Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:18:06.4093658Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:18:06.4094053Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:18:06.4094574Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:18:06.4094911Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:18:06.4098495Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:18:06.4098799Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:18:06.4098940Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:18:06.4099048Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:18:06.4099306Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:18:06.4099425Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:18:06.4099673Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:18:06.4100283Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:18:06.4100594Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:18:06.4100713Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:18:06.4100829Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:18:06.4100934Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:18:06.4101166Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:18:06.4101393Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:18:06.4103706Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:18:06.4103856Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:18:06.4103979Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:18:06.4104100Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:18:06.4104218Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:18:06.4104326Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:18:06.4104655Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:18:06.4106306Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:18:06.4106476Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:18:06.4106708Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:18:06.4106823Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:18:06.4107302Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:18:06.4107443Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:18:06.4108089Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:18:06.4108452Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:18:06.4111484Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:18:06.4111641Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:18:06.4111747Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:18:06.4111861Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:18:06.4111969Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:18:06.4112067Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:18:06.4112341Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:18:06.4112475Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:18:06.4112764Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:18:06.4113514Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:18:06.4113690Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:18:06.4113974Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:18:06.4116022Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:18:06.4116595Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:18:06.4116749Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:18:06.4116861Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:18:06.4116990Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:18:06.4117097Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:18:06.4117246Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:18:06.4117657Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:18:06.4121294Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:18:06.4121617Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:18:06.4121749Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:18:06.4121868Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:18:06.4121969Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:18:06.4122072Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:18:06.4122301Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:18:06.4122520Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:18:06.4122626Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:18:06.4122854Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:18:06.4123249Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:18:06.4124305Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:18:06.4124937Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:18:06.4125218Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:18:06.4125346Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:18:06.4125675Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:18:06.4128284Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:18:06.4128425Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:18:06.4128533Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:18:06.4128633Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:18:06.4128744Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:18:06.4128861Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:18:06.4129060Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:18:06.4130009Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:18:06.4130638Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:18:06.4130816Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:18:06.4130931Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:18:06.4131504Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:18:06.4132056Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:18:06.4132630Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:18:06.4133242Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:18:06.4133582Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:18:06.4134109Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:18:06.4137073Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:18:06.4137225Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:18:06.4137331Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:18:06.4137423Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:18:06.4137510Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:18:06.4137730Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:18:06.4137871Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:18:06.4139290Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:18:06.4139424Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:18:06.4139776Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:18:06.4140227Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:18:06.4141818Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:18:06.4142122Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:18:06.4142242Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:18:06.4144549Z * [new tag] flight_5 -> flight_5 2025-08-14T21:18:06.4144842Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:18:06.4144958Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:18:06.4145072Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:18:06.4145225Z * [new tag] forpull1 -> forpull1 2025-08-14T21:18:06.4146471Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:18:06.4146774Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:18:06.4147005Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:18:06.4148968Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:18:06.4149276Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:18:06.4149405Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:18:06.4149737Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:18:06.4150048Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:18:06.4151977Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:18:06.4152397Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:18:06.4152739Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:18:06.4153076Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:18:06.4153375Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:18:06.4154134Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:18:06.4154695Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:18:06.4155069Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:18:06.4155756Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:18:06.4156033Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:18:06.4156424Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:18:06.4156723Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:18:06.4157077Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:18:06.4157675Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:18:06.4158142Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:18:06.4158654Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:18:06.4159162Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:18:06.4161287Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:18:06.4161686Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:18:06.4162031Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:18:06.4162353Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:18:06.4163012Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:18:06.4163417Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:18:06.4163655Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:18:06.4164006Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:18:06.4164452Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:18:06.4165012Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:18:06.4165489Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:18:06.4166066Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:18:06.4166530Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:18:06.4169351Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:18:06.4169760Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:18:06.4170114Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:18:06.4170558Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:18:06.4170792Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:18:06.4170998Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:18:06.4171212Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:18:06.4171425Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:18:06.4171780Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:18:06.4172029Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:18:06.4172501Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:18:06.4173062Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:06.4173709Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:18:06.4174396Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:18:06.4174741Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:18:06.4175211Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:18:06.4175654Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:18:06.4176246Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:18:06.4176627Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:18:06.4177014Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:18:06.4180615Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:18:06.4181021Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:18:06.4181364Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:18:06.4181672Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:18:06.4182271Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:18:06.4182544Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:18:06.4182782Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:18:06.4183001Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:18:06.4183225Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:18:06.4183817Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:18:06.4184037Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:18:06.4184253Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:18:06.4184472Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:18:06.4184956Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:18:06.4187679Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:18:06.4188145Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:18:06.4188550Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:18:06.4188892Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:18:06.4189510Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:18:06.4189796Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:18:06.4189999Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:18:06.4190214Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:18:06.4190594Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:18:06.4190815Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:18:06.4196087Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:18:06.4196647Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:18:06.4196989Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:18:06.4197669Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:18:06.4197926Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:18:06.4198163Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:18:06.4198380Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:18:06.4199055Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:18:06.4199321Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:18:06.4199548Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:18:06.4199942Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:18:06.4200550Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:18:06.4200879Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:18:06.4201470Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:18:06.4202022Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:18:06.4203024Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:18:06.4203320Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:18:06.4203791Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:18:06.4205604Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:18:06.4206029Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:18:06.4206372Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:18:06.4206678Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:18:06.4207008Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:18:06.4207302Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:18:06.4207820Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:18:06.4208443Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:18:06.4211267Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:18:06.4211526Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:18:06.4211978Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:18:06.4212193Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:18:06.4212411Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:18:06.4212660Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:18:06.4212865Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:18:06.4213067Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:18:06.4213305Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:18:06.4214025Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:18:06.4214420Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:18:06.4219853Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:18:06.4222003Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:18:06.4222380Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:18:06.4226131Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:18:06.4228299Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:18:06.4232092Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:18:06.4232422Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:18:06.4236798Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:18:06.4240659Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:18:06.4244431Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:18:06.4248512Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:18:06.4248794Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:18:06.4249014Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:18:06.4249231Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:18:06.4249448Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:18:06.4249663Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:18:06.4249879Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:18:06.4250235Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:18:06.4250443Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:18:06.4250653Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:18:06.4250861Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:18:06.4251077Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:18:06.4251301Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:18:06.4251508Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:18:06.4251721Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:18:06.4251944Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:18:06.4252148Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:18:06.4252418Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:18:06.4252629Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:18:06.4252830Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:18:06.4253050Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:18:06.4253255Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:18:06.4253462Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:18:06.4253661Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:18:06.4253871Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:18:06.4254191Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:18:06.4254405Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:18:06.4254619Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:18:06.4254820Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:18:06.4255026Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:18:06.4255257Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:18:06.4255475Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:18:06.4255715Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:18:06.4255926Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:18:06.4256188Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:18:06.4256413Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:18:06.4256620Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:18:06.4256848Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:18:06.4257051Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:18:06.4257263Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:18:06.4257477Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:18:06.4257689Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:18:06.4257916Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:18:06.4258135Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:18:06.4258386Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:18:06.4258616Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:18:06.4258835Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:18:06.4259082Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:18:06.4259304Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:18:06.4259530Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:18:06.4259765Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:18:06.4260007Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:18:06.4260238Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:18:06.4260475Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:18:06.4260726Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:18:06.4260972Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:18:06.4261204Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:18:06.4261439Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:18:06.4261666Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:18:06.4261904Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:18:06.4262166Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:18:06.4262404Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:18:06.4262636Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:18:06.4262876Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:18:06.4263126Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:18:06.4263351Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:18:06.4263589Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:18:06.4263805Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:18:06.4264067Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:18:06.4264296Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:18:06.4264576Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:18:06.4264813Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:18:06.4265045Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:18:06.4265275Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:18:06.4265506Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:18:06.4265754Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:18:06.4265994Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:18:06.4266212Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:18:06.4266441Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:18:06.4266834Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:18:06.4267388Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:18:06.4267965Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:18:06.4268678Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:18:06.4269408Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:18:06.4269969Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:18:06.4270566Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:18:06.4271003Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:18:06.4271463Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:18:06.4273928Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:18:06.4274326Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:18:06.4274692Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:18:06.4275014Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:18:06.4275722Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:18:06.4276001Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:18:06.4276270Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:18:06.4277021Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:18:06.4277993Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:18:06.4278292Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:18:06.4278731Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:18:06.4280832Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:18:06.4281257Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:18:06.4281583Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:18:06.4281883Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:18:06.4282636Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:18:06.4283045Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:18:06.4283365Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:18:06.4283664Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:18:06.4284066Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:18:06.4284720Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:18:06.4285235Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:18:06.4287343Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:18:06.4287770Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:18:06.4288108Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:18:06.4288597Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:18:06.4288821Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:18:06.4289315Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:18:06.4289668Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:18:06.4290188Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:18:06.4291364Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:18:06.4291677Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:18:06.4292688Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:18:06.4293113Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:18:06.4293607Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:18:06.4297724Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:18:06.4298162Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:18:06.4298512Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:18:06.4298822Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:18:06.4299477Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:18:06.4299724Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:18:06.4299954Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:18:06.4300187Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:18:06.4300597Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:18:06.4301371Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:18:06.4301820Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:18:06.4302194Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:18:06.4302907Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:18:06.4303170Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:18:06.4303411Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:18:06.4303803Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:18:06.4304238Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:18:06.4304699Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:18:06.4305644Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:18:06.4306277Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:18:06.4306572Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:18:06.4307095Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:18:06.4307561Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:18:06.4308836Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:18:06.4309275Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:18:06.4309637Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:18:06.4310294Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:18:06.4310651Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:18:06.4312294Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:18:06.4312706Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:18:06.4312973Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:18:06.4313311Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:18:06.4314539Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:18:06.4314967Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:18:06.4315300Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:18:06.4315544Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:18:06.4316996Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:18:06.4317406Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:18:06.4317744Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:18:06.4318054Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:18:06.4319317Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:18:06.4319745Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:18:06.4320090Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:18:06.4322085Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:18:06.4322495Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:18:06.4322829Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:18:06.4323156Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:18:06.4323392Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:18:06.4324009Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:18:06.4324507Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:18:06.4327636Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:18:06.4327914Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:18:06.4328016Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:18:06.4328152Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:18:06.4328252Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:18:06.4328541Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:18:06.4329059Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:18:06.4329189Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:18:06.4329279Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:18:06.4329534Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:18:06.4329960Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:18:06.4330919Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:18:06.4331028Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:18:06.4332044Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:18:06.4332155Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:18:06.4333037Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:18:06.4333245Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:18:06.4334138Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:18:06.4334644Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:18:06.4335273Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:18:06.4335421Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:18:06.4338320Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:18:06.4338609Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:18:06.4338731Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:18:06.4338871Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:18:06.4338975Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:18:06.4340144Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:18:06.4340274Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:18:06.4340547Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:18:06.4340656Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:18:06.4340788Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:18:06.4341305Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:18:06.4342551Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:18:06.4342822Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:18:06.4343172Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:18:06.4345351Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:18:06.4345629Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:18:06.4345763Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:18:06.4345855Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:18:06.4346076Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:18:06.4346441Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:18:06.4347567Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:18:06.4347835Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:18:06.4348176Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:18:06.4350460Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:18:06.4350754Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:18:06.4350867Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:18:06.4351157Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:18:06.4351417Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:18:06.4352011Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:18:06.4352302Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:18:06.4352432Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:18:06.4353662Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:18:06.4353948Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:18:06.4354079Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:18:06.4354448Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:18:06.4355542Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:18:06.4355948Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:18:06.4357549Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:18:06.4357678Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:18:06.4357773Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:18:06.4358014Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:18:06.4358348Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:18:06.4359115Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:18:06.4359226Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:18:06.4362152Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:18:06.4362292Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:18:06.4362399Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:18:06.4362506Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:18:06.4362600Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:18:06.4362695Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:18:06.4362820Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:18:06.4363572Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:18:06.4364022Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:18:06.4364618Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:18:06.4365001Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:18:06.4365703Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:18:06.4365904Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:18:06.4366626Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:18:06.4366842Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:18:06.4367592Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:18:06.4367780Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:18:06.4371441Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:18:06.4371577Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:18:06.4371682Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:18:06.4371773Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:18:06.4371870Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:18:06.4371970Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:18:06.4372239Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:18:06.4372408Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:18:06.4372785Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:18:06.4373174Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:18:06.4374209Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:18:06.4374814Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:18:06.4374988Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:18:06.4375399Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:18:06.4377881Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:18:06.4378111Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:18:06.4382907Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:18:06.4384911Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:18:06.4385144Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:18:06.4389648Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:18:06.4391688Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:18:06.4397123Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:18:06.4399899Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:18:06.4404419Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:18:06.4404575Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:18:06.4404676Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:18:06.4404768Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:18:06.4404883Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:18:06.4404972Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:18:06.4405066Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:18:06.4405153Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:18:06.4405453Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:18:06.4405548Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:18:06.4405634Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:18:06.4405727Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:18:06.4405814Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:18:06.4405900Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:18:06.4405995Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:18:06.4406080Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:18:06.4406167Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:18:06.4406261Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:18:06.4406344Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:18:06.4406438Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:18:06.4406525Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:18:06.4406611Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:18:06.4406705Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:18:06.4406788Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:18:06.4406873Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:18:06.4407019Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:18:06.4407109Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:18:06.4407203Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:18:06.4407289Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:18:06.4407378Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:18:06.4407484Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:18:06.4407572Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:18:06.4407670Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:18:06.4407759Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:18:06.4407847Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:18:06.4407947Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:18:06.4408036Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:18:06.4408123Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:18:06.4408220Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:18:06.4408310Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:18:06.4408405Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:18:06.4408489Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:18:06.4408575Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:18:06.4408667Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:18:06.4408752Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:18:06.4409042Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:18:06.4409396Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:18:06.4409805Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:18:06.4409932Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:18:06.4410024Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:18:06.4410300Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:18:06.4410397Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:18:06.4410493Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:18:06.4410594Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:18:06.4410684Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:18:06.4410975Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:18:06.4411385Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:18:06.4411495Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:18:06.4411956Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:18:06.4412721Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:18:06.4413057Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:18:06.4414163Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:18:06.4414400Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:18:06.4414694Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:18:06.4417821Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:18:06.4417961Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:18:06.4418206Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:18:06.4418300Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:18:06.4418399Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:18:06.4418485Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:18:06.4418754Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:18:06.4418870Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:18:06.4420231Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:18:06.4420364Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:18:06.4420565Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:18:06.4422877Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:18:06.4423188Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:18:06.4423302Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:18:06.4423472Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:18:06.4423577Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:18:06.4424898Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:18:06.4425101Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:18:06.4425310Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:18:06.4427581Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:18:06.4427858Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:18:06.4427977Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:18:06.4428175Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:18:06.4428318Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:18:06.4429380Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:18:06.4429651Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:18:06.4429785Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:18:06.4430405Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:18:06.4431024Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:18:06.4431406Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:18:06.4433530Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:18:06.4433820Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:18:06.4433929Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:18:06.4434044Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:18:06.4434398Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:18:06.4435261Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:18:06.4435382Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:18:06.4435816Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:18:06.4436241Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:18:06.4437917Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:18:06.4438198Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:18:06.4438304Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:18:06.4438618Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:18:06.4440096Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:18:06.4442724Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:18:06.4443003Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:18:06.4443128Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:18:06.4443298Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:18:06.4443416Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:18:06.4443538Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:18:06.4444109Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:18:06.4444248Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:18:06.4444344Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:18:06.4444807Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:18:06.4445956Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:18:06.4446196Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:18:06.4446639Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:18:06.4448849Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:18:06.4448990Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:18:06.4449095Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:18:06.4449190Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:18:06.4449547Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:18:06.4449884Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:18:06.4451199Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:18:06.4451327Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:18:06.4451647Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:18:06.4452504Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:18:06.4452758Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:18:06.4453665Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:18:06.4454183Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:18:06.4455006Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:18:06.4455164Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:18:06.4458408Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:18:06.4458537Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:18:06.4458670Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:18:06.4458769Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:18:06.4458869Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:18:06.4911202Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:18:06.4932325Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:06.4933252Z ##[endgroup] 2025-08-14T21:18:06.4933446Z ##[group]Determining the checkout info 2025-08-14T21:18:06.4935789Z ##[endgroup] 2025-08-14T21:18:06.4942138Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:18:06.4982266Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:18:06.5019752Z ##[group]Checking out the ref 2025-08-14T21:18:06.5023711Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:07.4595702Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:18:07.4596190Z 2025-08-14T21:18:07.4596357Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:18:07.4596677Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:18:07.4596998Z state without impacting any branches by switching back to a branch. 2025-08-14T21:18:07.4597194Z 2025-08-14T21:18:07.4597330Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:18:07.4597627Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:18:07.4597798Z 2025-08-14T21:18:07.4597881Z git switch -c 2025-08-14T21:18:07.4598009Z 2025-08-14T21:18:07.4598084Z Or undo this operation with: 2025-08-14T21:18:07.4598199Z 2025-08-14T21:18:07.4598267Z git switch - 2025-08-14T21:18:07.4602108Z 2025-08-14T21:18:07.4604323Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:18:07.4604653Z 2025-08-14T21:18:07.4609119Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:18:07.4646879Z ##[endgroup] 2025-08-14T21:18:07.4647349Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:18:07.4650351Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:18:07.4718908Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:18:07.4756924Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:18:07.4786511Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:18:07.4812546Z ##[endgroup] 2025-08-14T21:18:07.4812984Z ##[group]Fetching submodules 2025-08-14T21:18:07.4816755Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:18:07.5149734Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:18:07.5457968Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:18:07.5458651Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:18:07.5463599Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:18:07.5464339Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:18:07.5464859Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:18:07.5859289Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:18:07.5860712Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:18:07.5861375Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:18:07.5861954Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:18:07.5866174Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:18:07.5867840Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:18:07.5868524Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:18:07.5873775Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:18:07.5874818Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:18:07.5875304Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:18:07.5895441Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:18:07.5896243Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:18:07.5896829Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:18:07.5899188Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:18:07.5906983Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:18:07.5909159Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:18:07.5914132Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:18:07.5919428Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:18:07.5920130Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:18:07.5920798Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:18:07.5921358Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:18:07.5941826Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:18:07.5942446Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:18:07.5950611Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:18:07.5951898Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:18:07.5952843Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:18:07.5953762Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:18:07.5954477Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:18:07.5959870Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:18:07.5960614Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:18:07.5965033Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:18:07.5983879Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:18:07.6022508Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:18:07.8451527Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:18:07.8452043Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:18:07.8452601Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:18:07.8467107Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:18:08.0383327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:18:08.0384140Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:18:08.0384697Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:18:08.0385485Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:18:08.0387703Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:18:08.0894534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:18:08.1623482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:18:08.1624306Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:18:08.1624911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:18:08.1625591Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:18:08.1626800Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:18:08.2217920Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:18:08.2974763Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:18:08.2975316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:18:08.3976366Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:18:09.1523387Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:18:09.1524348Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:18:09.1525251Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:18:09.1526079Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:18:09.1526894Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:18:09.1528006Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:18:09.1528801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:18:09.2524752Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:18:20.8249972Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:18:20.8250545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:18:20.8251047Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:18:20.8251549Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:18:20.8251999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:18:20.8252417Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:18:20.8252876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:18:20.8253321Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:18:20.8253753Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:18:20.8384247Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:18:20.8493388Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:18:20.8581037Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:18:20.8776618Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:18:20.9425229Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:18:20.9833146Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:18:21.4941002Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:18:21.6129039Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:18:21.6146638Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:18:21.6174224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:18:24.8693313Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:18:24.8890278Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:18:25.1172356Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:18:25.1596628Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:18:25.2412912Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:18:25.2784913Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:18:25.7712807Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:18:25.8802290Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:18:25.8823190Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:18:25.8828402Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:18:25.8829711Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:18:25.8830343Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:18:25.8832990Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:18:25.8833823Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:18:25.8834452Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:18:25.8860378Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:18:27.0207611Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:18:27.0209215Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:18:27.0209819Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:18:27.0623645Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:18:27.1623428Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:18:28.1438459Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:18:32.1495233Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:18:32.3367345Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:18:32.4200744Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:18:32.8955305Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:18:32.9341084Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:18:32.9452545Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:18:33.0349175Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:18:33.0907713Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:18:33.0925849Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:18:33.0927883Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:18:33.0954849Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:18:36.1365537Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:18:36.3091894Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:18:36.7454096Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:18:36.8488284Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:18:36.8776066Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:18:36.9105009Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:18:36.9307534Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:18:36.9689404Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:18:36.9808516Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:18:36.9823481Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:18:36.9848779Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:18:48.4635064Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:18:48.4807463Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:18:48.5601904Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:18:48.5617228Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:18:48.5618093Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:18:48.5621007Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:18:48.5649026Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:18:49.1740547Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:18:49.7847064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:18:49.8509016Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:18:49.8525394Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:18:49.8526237Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:18:49.8526890Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:18:49.8527540Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:18:49.8528212Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:18:49.8529927Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:18:49.8530795Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:18:49.8531587Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:18:49.8563437Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:18:51.0208603Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:18:51.0209941Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:18:51.0210670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:18:51.0211348Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:18:51.0212067Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:18:51.0769808Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:18:51.1773947Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:18:56.1782817Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:18:56.1935968Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:18:56.2231940Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:18:56.2357649Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:18:56.2370121Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:18:56.2400992Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:18:56.5223061Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:18:56.5383136Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:18:56.5733072Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:18:56.6563226Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:18:56.6718607Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:18:56.7047086Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:18:56.7549442Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:18:56.7906630Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:18:56.8230051Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:18:56.9220296Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:18:57.2051624Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:18:57.2083089Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:18:57.2112979Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:18:58.7056612Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:18:58.7569101Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:18:58.7585795Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:18:58.7588084Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:18:58.7588799Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:18:58.7589410Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:18:58.7590155Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:18:58.7591026Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:18:58.7591829Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:18:58.7595035Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:18:58.7623571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:18:59.1702528Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:18:59.1703788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:18:59.1704487Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:18:59.1705100Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:18:59.2702203Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:18:59.7834923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:19:06.6256991Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:19:07.1165446Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 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2025-08-14T21:19:07.2963294Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:07.2965462Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:07.2996317Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:19:09.1408231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:19:09.3460909Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:19:09.3849727Z Submodule path 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:19:14.3877914Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:19:14.3919102Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:19:14.3957505Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:19:14.3994520Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:14.4033311Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:14.4078379Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:19:14.4131309Z Entering 'third_party/pocketfft' 2025-08-14T21:19:14.4172254Z Entering 'third_party/protobuf' 2025-08-14T21:19:14.4214494Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:19:14.4254759Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:19:14.4296183Z Entering 'third_party/psimd' 2025-08-14T21:19:14.4340234Z Entering 'third_party/pthreadpool' 2025-08-14T21:19:14.4381462Z Entering 'third_party/pybind11' 2025-08-14T21:19:14.4417436Z Entering 'third_party/python-peachpy' 2025-08-14T21:19:14.4455186Z Entering 'third_party/sleef' 2025-08-14T21:19:14.4494280Z Entering 'third_party/tensorpipe' 2025-08-14T21:19:14.4534725Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:19:14.4574120Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:19:14.4613628Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:19:14.4653409Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:19:14.4691018Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:19:14.4756967Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:19:14.5081943Z Entering 'android/libs/fbjni' 2025-08-14T21:19:14.5110277Z Entering 'third_party/FP16' 2025-08-14T21:19:14.5151086Z Entering 'third_party/FXdiv' 2025-08-14T21:19:14.5188707Z Entering 'third_party/NNPACK' 2025-08-14T21:19:14.5229837Z Entering 'third_party/NVTX' 2025-08-14T21:19:14.5273617Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:19:14.5315668Z Entering 'third_party/XNNPACK' 2025-08-14T21:19:14.5365773Z Entering 'third_party/aiter' 2025-08-14T21:19:14.5402937Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:19:14.5450466Z Entering 'third_party/benchmark' 2025-08-14T21:19:14.5489330Z Entering 'third_party/composable_kernel' 2025-08-14T21:19:14.5538991Z Entering 'third_party/cpp-httplib' 2025-08-14T21:19:14.5577947Z Entering 'third_party/cpuinfo' 2025-08-14T21:19:14.5614158Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:19:14.5656086Z Entering 'third_party/cutlass' 2025-08-14T21:19:14.5704475Z Entering 'third_party/fbgemm' 2025-08-14T21:19:14.5748057Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:19:14.5791802Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:19:14.5837509Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:19:14.5874336Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:19:14.5921668Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:19:14.5960101Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:19:14.5995779Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:19:14.6040740Z Entering 'third_party/flash-attention' 2025-08-14T21:19:14.6078821Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:19:14.6122463Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:19:14.6169951Z Entering 'third_party/flatbuffers' 2025-08-14T21:19:14.6212187Z Entering 'third_party/fmt' 2025-08-14T21:19:14.6249880Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:19:14.6288808Z Entering 'third_party/gloo' 2025-08-14T21:19:14.6332070Z Entering 'third_party/googletest' 2025-08-14T21:19:14.6372096Z Entering 'third_party/ideep' 2025-08-14T21:19:14.6410424Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:19:14.6457082Z Entering 'third_party/ittapi' 2025-08-14T21:19:14.6495909Z Entering 'third_party/kineto' 2025-08-14T21:19:14.6538014Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:19:14.6602844Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:19:14.6644199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:19:14.6683741Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:19:14.6726901Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:19:14.6762384Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:19:14.6803346Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:19:14.6842329Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:19:14.6882532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:19:14.6920243Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:19:14.6962617Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:19:14.7001106Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:19:14.7048945Z Entering 'third_party/kleidiai' 2025-08-14T21:19:14.7089589Z Entering 'third_party/mimalloc' 2025-08-14T21:19:14.7129771Z Entering 'third_party/nlohmann' 2025-08-14T21:19:14.7172065Z Entering 'third_party/onnx' 2025-08-14T21:19:14.7227136Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:19:14.7271947Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:19:14.7312906Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:19:14.7351727Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:19:14.7391294Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:19:14.7429281Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:19:14.7467954Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:19:14.7505623Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:19:14.7551973Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:19:14.7588440Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:14.7629284Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:14.7673896Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:19:14.7731372Z Entering 'third_party/pocketfft' 2025-08-14T21:19:14.7772544Z Entering 'third_party/protobuf' 2025-08-14T21:19:14.7816276Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:19:14.7855138Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:19:14.7897449Z Entering 'third_party/psimd' 2025-08-14T21:19:14.7937135Z Entering 'third_party/pthreadpool' 2025-08-14T21:19:14.7978096Z Entering 'third_party/pybind11' 2025-08-14T21:19:14.8019667Z Entering 'third_party/python-peachpy' 2025-08-14T21:19:14.8061043Z Entering 'third_party/sleef' 2025-08-14T21:19:14.8097450Z Entering 'third_party/tensorpipe' 2025-08-14T21:19:14.8140840Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:19:14.8179588Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:19:14.8219906Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:19:14.8258807Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:19:14.8296819Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:19:14.8357679Z ##[endgroup] 2025-08-14T21:19:14.8394509Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:19:14.8417803Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:19:14.8590950Z Prepare all required actions 2025-08-14T21:19:14.8591460Z Getting action download info 2025-08-14T21:19:14.9883312Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:19:14.9883533Z env: 2025-08-14T21:19:14.9883687Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:14.9883853Z ##[endgroup] 2025-08-14T21:19:14.9920515Z ##[group]Run set -euo pipefail 2025-08-14T21:19:14.9920783Z set -euo pipefail 2025-08-14T21:19:14.9920963Z function get_ec2_metadata() { 2025-08-14T21:19:14.9921200Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:19:14.9921577Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:19:14.9921906Z  category=$1 2025-08-14T21:19:14.9922125Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:19:14.9922390Z  runner_name_str=i-0e2ec405c00abd8cb 2025-08-14T21:19:14.9922652Z  if [[ -f /.inarc ]]; then 2025-08-14T21:19:14.9922861Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:19:14.9923095Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:19:14.9923367Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:19:14.9923606Z  else 2025-08-14T21:19:14.9924092Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-08-14T21:19:14.9924580Z  fi 2025-08-14T21:19:14.9924724Z } 2025-08-14T21:19:14.9924891Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:19:14.9925147Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:19:14.9925427Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:19:14.9925664Z echo "system info $(uname -a)" 2025-08-14T21:19:14.9933691Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:14.9933917Z env: 2025-08-14T21:19:14.9934067Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:14.9934372Z ##[endgroup] 2025-08-14T21:19:15.0081159Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:19:15.0184060Z instance-id: i-0e2ec405c00abd8cb 2025-08-14T21:19:15.0293591Z instance-type: m7i-flex.8xlarge 2025-08-14T21:19:15.0302906Z system info Linux ip-10-0-70-109.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:19:15.0332162Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:19:15.0332702Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:19:15.0337775Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:15.0338030Z env: 2025-08-14T21:19:15.0338192Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:15.0338369Z ##[endgroup] 2025-08-14T21:19:15.0391745Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:19:15.0392057Z if systemctl is-active --quiet docker; then 2025-08-14T21:19:15.0392296Z  echo "Docker daemon is running..."; 2025-08-14T21:19:15.0392596Z else 2025-08-14T21:19:15.0392820Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:19:15.0393067Z fi 2025-08-14T21:19:15.0397131Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:15.0397364Z env: 2025-08-14T21:19:15.0397521Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:15.0397699Z ##[endgroup] 2025-08-14T21:19:15.0526138Z Docker daemon is running... 2025-08-14T21:19:15.0564011Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:19:15.0564215Z with: 2025-08-14T21:19:15.0564360Z shell: bash 2025-08-14T21:19:15.0564654Z timeout_minutes: 5 2025-08-14T21:19:15.0564817Z max_attempts: 3 2025-08-14T21:19:15.0564968Z retry_wait_seconds: 30 2025-08-14T21:19:15.0566202Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-08-14T21:19:15.0567384Z polling_interval_seconds: 1 2025-08-14T21:19:15.0567565Z warning_on_retry: true 2025-08-14T21:19:15.0567731Z continue_on_error: false 2025-08-14T21:19:15.0567889Z env: 2025-08-14T21:19:15.0568034Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:15.0568203Z AWS_RETRY_MODE: standard 2025-08-14T21:19:15.0568361Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:19:15.0568534Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:19:15.0568710Z ##[endgroup] 2025-08-14T21:19:15.9881017Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:15.9882438Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:15.9882860Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:15.9883081Z 2025-08-14T21:19:15.9885964Z Login Succeeded 2025-08-14T21:19:16.1284382Z Command completed after 1 attempt(s). 2025-08-14T21:19:16.1350494Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:16.1350851Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:16.1351128Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:16.1356972Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:16.1357202Z env: 2025-08-14T21:19:16.1357355Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.1357515Z ##[endgroup] 2025-08-14T21:19:16.1438613Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:19:16.1438976Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:19:16.1439255Z # shellcheck disable=SC2046 2025-08-14T21:19:16.1439469Z docker stop $(docker ps -q) || true 2025-08-14T21:19:16.1439673Z # Prune all of the docker images 2025-08-14T21:19:16.1439877Z docker system prune -af 2025-08-14T21:19:16.1444529Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:16.1444749Z env: 2025-08-14T21:19:16.1444899Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.1445069Z ##[endgroup] 2025-08-14T21:19:16.1996165Z "docker stop" requires at least 1 argument. 2025-08-14T21:19:16.1997614Z See 'docker stop --help'. 2025-08-14T21:19:16.1997829Z 2025-08-14T21:19:16.1997974Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:19:16.1998181Z 2025-08-14T21:19:16.1998275Z Stop one or more running containers 2025-08-14T21:19:16.2218339Z Total reclaimed space: 0B 2025-08-14T21:19:16.2260610Z ##[group]Run set +e 2025-08-14T21:19:16.2260826Z set +e 2025-08-14T21:19:16.2260983Z set -x 2025-08-14T21:19:16.2261262Z  2025-08-14T21:19:16.2261418Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:19:16.2261764Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:19:16.2262217Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:19:16.2262527Z # one is returned at random 2025-08-14T21:19:16.2262763Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:19:16.2262990Z  2025-08-14T21:19:16.2263247Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:19:16.2263501Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:19:16.2263802Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:19:16.2264027Z  2025-08-14T21:19:16.2264176Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:19:16.2264399Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:19:16.2264619Z  exit 1 2025-08-14T21:19:16.2264770Z  fi 2025-08-14T21:19:16.2264906Z fi 2025-08-14T21:19:16.2265044Z  2025-08-14T21:19:16.2265210Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:19:16.2265425Z  # Clean up any old records first 2025-08-14T21:19:16.2265644Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:19:16.2265837Z fi 2025-08-14T21:19:16.2265971Z  2025-08-14T21:19:16.2266157Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:19:16.2266391Z cat /etc/hosts 2025-08-14T21:19:16.2271514Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:16.2271736Z env: 2025-08-14T21:19:16.2271888Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.2272060Z ##[endgroup] 2025-08-14T21:19:16.2296120Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:19:16.2302213Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:19:16.2306994Z ++ tail -n1 2025-08-14T21:19:16.2758897Z + RESOLVED_IP=18.160.10.28 2025-08-14T21:19:16.2760517Z + '[' -z 18.160.10.28 ']' 2025-08-14T21:19:16.2760862Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:19:16.2777561Z + echo '18.160.10.28 download.pytorch.org' 2025-08-14T21:19:16.2782735Z + sudo tee -a /etc/hosts 2025-08-14T21:19:16.5119803Z 18.160.10.28 download.pytorch.org 2025-08-14T21:19:16.5141367Z + cat /etc/hosts 2025-08-14T21:19:16.5150035Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:19:16.5160140Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:19:16.5160412Z 18.160.10.28 download.pytorch.org 2025-08-14T21:19:16.5266056Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:19:16.5266349Z with: 2025-08-14T21:19:16.5266876Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.5267456Z use-custom-docker-registry: true 2025-08-14T21:19:16.5267667Z docker-build-dir: .ci/docker 2025-08-14T21:19:16.5267864Z docker-build-script: ./build.sh 2025-08-14T21:19:16.5268049Z working-directory: . 2025-08-14T21:19:16.5268274Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.5268524Z force-push: false 2025-08-14T21:19:16.5268665Z env: 2025-08-14T21:19:16.5268810Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.5268978Z ##[endgroup] 2025-08-14T21:19:16.5290184Z ##[group]Run set -ex 2025-08-14T21:19:16.5290407Z set -ex 2025-08-14T21:19:16.5290559Z  2025-08-14T21:19:16.5290844Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:19:16.5291230Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:19:16.5291559Z # job could then download the pre-built image as usual 2025-08-14T21:19:16.5292076Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:19:16.5292442Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5292648Z else 2025-08-14T21:19:16.5292827Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5293105Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5293355Z  2025-08-14T21:19:16.5293684Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:19:16.5294048Z  exit 0 2025-08-14T21:19:16.5294348Z fi 2025-08-14T21:19:16.5294493Z  2025-08-14T21:19:16.5294714Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:19:16.5295071Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:19:16.5295413Z  # use it as it is, but first let's extract the tag 2025-08-14T21:19:16.5295706Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:19:16.5296010Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5296294Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5296536Z else 2025-08-14T21:19:16.5296719Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:19:16.5296956Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:19:16.5297190Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:19:16.5297394Z  fi 2025-08-14T21:19:16.5297665Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:19:16.5298009Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5298377Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5298771Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5299020Z fi 2025-08-14T21:19:16.5306249Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:16.5306476Z env: 2025-08-14T21:19:16.5306634Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.5306805Z REPO_NAME: pytorch 2025-08-14T21:19:16.5307420Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.5307930Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:19:16.5308125Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:19:16.5308362Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.5308616Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:19:16.5308811Z CUSTOM_TAG_PREFIX: 2025-08-14T21:19:16.5308972Z ##[endgroup] 2025-08-14T21:19:16.5334175Z + [[ -d .ci/docker ]] 2025-08-14T21:19:16.5334653Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:19:16.5339304Z + [[ true == \t\r\u\e ]] 2025-08-14T21:19:16.5343178Z + echo skip=false 2025-08-14T21:19:16.5347689Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-08-14T21:19:16.5348914Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.5349417Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:19:16.5368523Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.5369370Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.5370101Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.5393070Z ##[group]Run set +e 2025-08-14T21:19:16.5393285Z set +e 2025-08-14T21:19:16.5393440Z set -x 2025-08-14T21:19:16.5393586Z  2025-08-14T21:19:16.5393719Z login() { 2025-08-14T21:19:16.5394012Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:19:16.5394320Z } 2025-08-14T21:19:16.5394454Z  2025-08-14T21:19:16.5394593Z retry () { 2025-08-14T21:19:16.5394768Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:19:16.5394953Z } 2025-08-14T21:19:16.5395087Z  2025-08-14T21:19:16.5395239Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:19:16.5395425Z  2025-08-14T21:19:16.5395561Z START_TIME=$(date +%s) 2025-08-14T21:19:16.5395750Z # Wait up to 120 minutes 2025-08-14T21:19:16.5395977Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:19:16.5396254Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:19:16.5396540Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:19:16.5396753Z  exit 0 2025-08-14T21:19:16.5396895Z  fi 2025-08-14T21:19:16.5397037Z  2025-08-14T21:19:16.5397270Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:19:16.5397634Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:19:16.5397991Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:19:16.5398295Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:19:16.5398537Z  # It's a Docker build job, let's build the image 2025-08-14T21:19:16.5398740Z  break 2025-08-14T21:19:16.5398881Z  else 2025-08-14T21:19:16.5399092Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:19:16.5399331Z  sleep 300 2025-08-14T21:19:16.5399479Z  fi 2025-08-14T21:19:16.5399619Z done 2025-08-14T21:19:16.5399756Z  2025-08-14T21:19:16.5399960Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:19:16.5400553Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:19:16.5400877Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:19:16.5401158Z  # if we're on the base branch then use the parent commit 2025-08-14T21:19:16.5401404Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:19:16.5401609Z else 2025-08-14T21:19:16.5401822Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:19:16.5402108Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:19:16.5402326Z fi 2025-08-14T21:19:16.5402483Z  2025-08-14T21:19:16.5402637Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:19:16.5402851Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5403054Z  2025-08-14T21:19:16.5403334Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:19:16.5403643Z  exit 0 2025-08-14T21:19:16.5403793Z fi 2025-08-14T21:19:16.5403933Z  2025-08-14T21:19:16.5404121Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:19:16.5404504Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:19:16.5404920Z  exit 1 2025-08-14T21:19:16.5405068Z fi 2025-08-14T21:19:16.5405200Z  2025-08-14T21:19:16.5405427Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:19:16.5405801Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:19:16.5406137Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:19:16.5406522Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:19:16.5406951Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:19:16.5407224Z fi 2025-08-14T21:19:16.5407355Z  2025-08-14T21:19:16.5407526Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:16.5412196Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:16.5412429Z env: 2025-08-14T21:19:16.5412579Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:16.5412763Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:19:16.5412987Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:19:16.5413540Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.5414340Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:16.5414786Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.5415025Z DOCKER_PUSH: 2025-08-14T21:19:16.5415173Z ##[endgroup] 2025-08-14T21:19:16.5437605Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.5439315Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.5439743Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:19:16.5444510Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:16.9679197Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:16.9679541Z Login Succeeded 2025-08-14T21:19:16.9683640Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:16.9688586Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:16.9688998Z 2025-08-14T21:19:16.9698386Z ++ date +%s 2025-08-14T21:19:16.9713210Z + START_TIME=1755206356 2025-08-14T21:19:16.9715454Z ++ date +%s 2025-08-14T21:19:16.9724602Z + [[ 1755199156 -lt 1755206356 ]] 2025-08-14T21:19:16.9728809Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:17.3038917Z { 2025-08-14T21:19:17.3040304Z "schemaVersion": 2, 2025-08-14T21:19:17.3040682Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:19:17.3041065Z "config": { 2025-08-14T21:19:17.3041368Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:19:17.3041723Z "size": 30151, 2025-08-14T21:19:17.3042064Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:19:17.3128823Z }, 2025-08-14T21:19:17.3128949Z { 2025-08-14T21:19:17.3129143Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:17.3129373Z "size": 32, 2025-08-14T21:19:17.3129617Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:17.3129887Z } 2025-08-14T21:19:17.3130005Z ] 2025-08-14T21:19:17.3130136Z } 2025-08-14T21:19:17.3158439Z ##[group]Run set -eux 2025-08-14T21:19:17.3158642Z set -eux 2025-08-14T21:19:17.3159214Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin 2025-08-14T21:19:17.3166724Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:17.3166954Z env: 2025-08-14T21:19:17.3167098Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:17.3167269Z ##[endgroup] 2025-08-14T21:19:17.3197110Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:19:17.3197670Z + jq --raw-output .SecretString 2025-08-14T21:19:17.3197941Z + jq -r .docker_hub_readonly_token 2025-08-14T21:19:17.3198249Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:19:17.8133578Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:17.8134001Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:17.8134469Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:17.8134746Z 2025-08-14T21:19:17.8134825Z Login Succeeded 2025-08-14T21:19:17.8217838Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:19:17.8218098Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:19:17.8218347Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:19:17.8223493Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:17.8223718Z env: 2025-08-14T21:19:17.8223862Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:17.8224374Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:17.8224874Z ##[endgroup] 2025-08-14T21:19:17.8250502Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:17.8289433Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:19:17.8289710Z with: 2025-08-14T21:19:17.8290177Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:17.8290720Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:17.8290952Z env: 2025-08-14T21:19:17.8291097Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:17.8291258Z ##[endgroup] 2025-08-14T21:19:17.8305321Z ##[group]Run set -x 2025-08-14T21:19:17.8305510Z set -x 2025-08-14T21:19:17.8305661Z set +e 2025-08-14T21:19:17.8305805Z  2025-08-14T21:19:17.8305949Z login() { 2025-08-14T21:19:17.8306228Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:19:17.8306525Z } 2025-08-14T21:19:17.8306661Z  2025-08-14T21:19:17.8306827Z retry () { 2025-08-14T21:19:17.8306995Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:19:17.8307192Z } 2025-08-14T21:19:17.8307327Z  2025-08-14T21:19:17.8307478Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:19:17.8307655Z  2025-08-14T21:19:17.8307937Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:19:17.8308313Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:19:17.8308525Z  2025-08-14T21:19:17.8308661Z set -e 2025-08-14T21:19:17.8308874Z # ignore output since only exit code is used for conditional 2025-08-14T21:19:17.8309156Z # only pull docker image if it's not available locally 2025-08-14T21:19:17.8309460Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:19:17.8309753Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:19:17.8309944Z fi 2025-08-14T21:19:17.8314161Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:17.8314393Z env: 2025-08-14T21:19:17.8314546Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:17.8315042Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:17.8315591Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:17.8315830Z ##[endgroup] 2025-08-14T21:19:17.8339110Z + set +e 2025-08-14T21:19:17.8341242Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:17.8341695Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:17.8346762Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:17.8348743Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:19:18.2405388Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:18.2405869Z Login Succeeded 2025-08-14T21:19:18.2409833Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:18.2414055Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:18.2415803Z 2025-08-14T21:19:18.2431855Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:18.2436528Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:19:18.4721594Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:19:18.4721905Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:19:18.4726704Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:19:18.4731476Z + set -e 2025-08-14T21:19:18.4736026Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:18.4859143Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:18.4860234Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:18.7424186Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:19:18.7431930Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:19:18.7437454Z c7b4a852a455: Pulling fs layer 2025-08-14T21:19:18.7441889Z e5a28988c893: Pulling fs layer 2025-08-14T21:19:18.7443995Z 76a69b57b683: Pulling fs layer 2025-08-14T21:19:18.7444316Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:19:18.7450010Z 836ab08052e8: Pulling fs layer 2025-08-14T21:19:18.7450437Z 53b11c77468c: Pulling fs layer 2025-08-14T21:19:18.7450746Z e97311a6a967: Pulling fs layer 2025-08-14T21:19:18.7451025Z 2c414689d31d: Pulling fs layer 2025-08-14T21:19:18.7451760Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:19:18.7452091Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:19:18.7452287Z fc6b37d40530: Pulling fs layer 2025-08-14T21:19:18.7452464Z 2e1657907860: Pulling fs layer 2025-08-14T21:19:18.7452634Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:19:18.7452814Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:19:18.7452989Z d6226eb61f82: Pulling fs layer 2025-08-14T21:19:18.7453156Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:19:18.7453328Z 60c725d21861: Pulling fs layer 2025-08-14T21:19:18.7453502Z a504e76e66a4: Pulling fs layer 2025-08-14T21:19:18.7453672Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:19:18.7453849Z 43273c22704f: Pulling fs layer 2025-08-14T21:19:18.7454027Z 89df389d042a: Pulling fs layer 2025-08-14T21:19:18.7454303Z 684349f50d94: Pulling fs layer 2025-08-14T21:19:18.7454524Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:19:18.7454706Z c9c2b424b8e0: Pulling fs layer 2025-08-14T21:19:18.7455154Z 98dda28f3395: Pulling fs layer 2025-08-14T21:19:18.7455332Z acf5babd87f2: Pulling fs layer 2025-08-14T21:19:18.7455517Z 7c5050d8408d: Pulling fs layer 2025-08-14T21:19:18.7455704Z 7ddd14e2b548: Pulling fs layer 2025-08-14T21:19:18.7455872Z 4ba8e7a736c8: Pulling fs layer 2025-08-14T21:19:18.7456042Z 907c320fee2f: Pulling fs layer 2025-08-14T21:19:18.7456216Z 18c4ed1ec491: Pulling fs layer 2025-08-14T21:19:18.7456383Z d7618c2df6cd: Pulling fs layer 2025-08-14T21:19:18.7456560Z b7bdd9a6f789: Pulling fs layer 2025-08-14T21:19:18.7456732Z 6738ba83282e: Pulling fs layer 2025-08-14T21:19:18.7456899Z dfb0f2488639: Pulling fs layer 2025-08-14T21:19:18.7457070Z dc833b0762f2: Pulling fs layer 2025-08-14T21:19:18.7457241Z 8827df8ca2da: Pulling fs layer 2025-08-14T21:19:18.7457406Z fac8f3bd0f85: Pulling fs layer 2025-08-14T21:19:18.7457578Z d7cf7f140df3: Pulling fs layer 2025-08-14T21:19:18.7457753Z 733eedc8da8d: Pulling fs layer 2025-08-14T21:19:18.7457915Z 5b092eb06909: Pulling fs layer 2025-08-14T21:19:18.7458084Z 2e1657907860: Waiting 2025-08-14T21:19:18.7458247Z bc5961031092: Pulling fs layer 2025-08-14T21:19:18.7458415Z 0531cc34c12a: Pulling fs layer 2025-08-14T21:19:18.7458581Z 7b92d7a4b8c7: Waiting 2025-08-14T21:19:18.7458735Z 4f4fb700ef54: Waiting 2025-08-14T21:19:18.7458884Z d6226eb61f82: Waiting 2025-08-14T21:19:18.7459033Z 38c303d3b62e: Pulling fs layer 2025-08-14T21:19:18.7459202Z e06d15594a2a: Pulling fs layer 2025-08-14T21:19:18.7459374Z 0e55deb5cb38: Pulling fs layer 2025-08-14T21:19:18.7459537Z 4a53d66dce07: Pulling fs layer 2025-08-14T21:19:18.7459702Z 83c70f4266a6: Waiting 2025-08-14T21:19:18.7459857Z 1519daa051b8: Pulling fs layer 2025-08-14T21:19:18.7460015Z 60c725d21861: Waiting 2025-08-14T21:19:18.7460171Z 381ed91d2119: Pulling fs layer 2025-08-14T21:19:18.7460338Z a504e76e66a4: Waiting 2025-08-14T21:19:18.7460482Z fc1c200a4f77: Waiting 2025-08-14T21:19:18.7460751Z 43273c22704f: Waiting 2025-08-14T21:19:18.7460910Z 89df389d042a: Waiting 2025-08-14T21:19:18.7461067Z c6b0a01a96dd: Pulling fs layer 2025-08-14T21:19:18.7461238Z 684349f50d94: Waiting 2025-08-14T21:19:18.7461400Z 62df6413daee: Pulling fs layer 2025-08-14T21:19:18.7461573Z 53b11c77468c: Waiting 2025-08-14T21:19:18.7461720Z 21d0eae87fb3: Waiting 2025-08-14T21:19:18.7461878Z 7a18bc2a6881: Pulling fs layer 2025-08-14T21:19:18.7462046Z c9c2b424b8e0: Waiting 2025-08-14T21:19:18.7462191Z e97311a6a967: Waiting 2025-08-14T21:19:18.7462352Z 93359cd58a8c: Pulling fs layer 2025-08-14T21:19:18.7462530Z c35ba0a1f353: Pulling fs layer 2025-08-14T21:19:18.7462689Z 2c414689d31d: Waiting 2025-08-14T21:19:18.7462848Z dcf1e01c98d6: Pulling fs layer 2025-08-14T21:19:18.7463015Z 98dda28f3395: Waiting 2025-08-14T21:19:18.7463168Z bad0564f61fd: Pulling fs layer 2025-08-14T21:19:18.7463340Z 539ded905736: Pulling fs layer 2025-08-14T21:19:18.7463509Z 28d482062637: Pulling fs layer 2025-08-14T21:19:18.7463672Z 3245316ff51b: Pulling fs layer 2025-08-14T21:19:18.7463868Z b53167d1a6df: Pulling fs layer 2025-08-14T21:19:18.7464039Z 5c785dcb4cdb: Waiting 2025-08-14T21:19:18.7464315Z 7f5277f69167: Pulling fs layer 2025-08-14T21:19:18.7464493Z 23dff10cdaa5: Pulling fs layer 2025-08-14T21:19:18.7464692Z 9fb73296da6a: Pulling fs layer 2025-08-14T21:19:18.7465046Z 6d89b5f065d5: Waiting 2025-08-14T21:19:18.7465213Z 5a5cc76ada43: Waiting 2025-08-14T21:19:18.7465374Z acf5babd87f2: Waiting 2025-08-14T21:19:18.7465532Z fc6b37d40530: Waiting 2025-08-14T21:19:18.7465681Z 0e55deb5cb38: Waiting 2025-08-14T21:19:18.7465836Z 836ab08052e8: Waiting 2025-08-14T21:19:18.7465991Z 76a69b57b683: Waiting 2025-08-14T21:19:18.7466137Z e06d15594a2a: Waiting 2025-08-14T21:19:18.7466314Z 4a53d66dce07: Waiting 2025-08-14T21:19:18.7466485Z dc833b0762f2: Waiting 2025-08-14T21:19:18.7466659Z 7c5050d8408d: Waiting 2025-08-14T21:19:18.7466810Z 7ddd14e2b548: Waiting 2025-08-14T21:19:18.7466956Z 1519daa051b8: Waiting 2025-08-14T21:19:18.7467106Z 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complete 2025-08-14T21:19:19.1868476Z 53b11c77468c: Verifying Checksum 2025-08-14T21:19:19.1869235Z 53b11c77468c: Download complete 2025-08-14T21:19:19.2029032Z 836ab08052e8: Verifying Checksum 2025-08-14T21:19:19.2030835Z 836ab08052e8: Download complete 2025-08-14T21:19:19.2796515Z e97311a6a967: Verifying Checksum 2025-08-14T21:19:19.2798852Z e97311a6a967: Download complete 2025-08-14T21:19:19.3822709Z 6d89b5f065d5: Verifying Checksum 2025-08-14T21:19:19.3823072Z 6d89b5f065d5: Download complete 2025-08-14T21:19:19.4486483Z 5a5cc76ada43: Verifying Checksum 2025-08-14T21:19:19.4486776Z 5a5cc76ada43: Download complete 2025-08-14T21:19:19.8144318Z fc6b37d40530: Verifying Checksum 2025-08-14T21:19:19.8148981Z fc6b37d40530: Download complete 2025-08-14T21:19:19.9064245Z 2e1657907860: Verifying Checksum 2025-08-14T21:19:19.9068511Z 2e1657907860: Download complete 2025-08-14T21:19:20.1395413Z 660ffc76f83b: Pull complete 2025-08-14T21:19:20.1552969Z c7b4a852a455: Pull complete 2025-08-14T21:19:20.3807027Z 2c414689d31d: Verifying Checksum 2025-08-14T21:19:20.3809400Z 2c414689d31d: Download complete 2025-08-14T21:19:20.4719937Z d6226eb61f82: Verifying Checksum 2025-08-14T21:19:20.4724609Z d6226eb61f82: Download complete 2025-08-14T21:19:20.5534024Z 83c70f4266a6: Verifying Checksum 2025-08-14T21:19:20.5539313Z 83c70f4266a6: Download complete 2025-08-14T21:19:20.6499026Z 60c725d21861: Verifying Checksum 2025-08-14T21:19:20.6501903Z 60c725d21861: Download complete 2025-08-14T21:19:20.7648752Z a504e76e66a4: Verifying Checksum 2025-08-14T21:19:20.7649366Z a504e76e66a4: Download complete 2025-08-14T21:19:20.8465402Z fc1c200a4f77: Download complete 2025-08-14T21:19:20.9333556Z 43273c22704f: Verifying Checksum 2025-08-14T21:19:20.9334024Z 43273c22704f: Download complete 2025-08-14T21:19:21.0172020Z 89df389d042a: Verifying Checksum 2025-08-14T21:19:21.0175879Z 89df389d042a: Download complete 2025-08-14T21:19:21.1136294Z 684349f50d94: Download complete 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28d482062637: Pull complete 2025-08-14T21:28:44.4534930Z 3245316ff51b: Pull complete 2025-08-14T21:28:44.9263211Z b53167d1a6df: Pull complete 2025-08-14T21:28:45.4143937Z 7f5277f69167: Pull complete 2025-08-14T21:28:46.3407229Z 23dff10cdaa5: Pull complete 2025-08-14T21:28:49.0236862Z 9fb73296da6a: Pull complete 2025-08-14T21:28:49.4946353Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:28:49.5572814Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:28:49.6000881Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:28:49.6060119Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:28:49.6060668Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:28:49.6068213Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:49.6068471Z env: 2025-08-14T21:28:49.6068630Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:49.6068807Z ##[endgroup] 2025-08-14T21:28:49.6140993Z Prepare all required actions 2025-08-14T21:28:49.6349515Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:28:49.6349742Z with: 2025-08-14T21:28:49.6350291Z github-token: *** 2025-08-14T21:28:49.6350458Z env: 2025-08-14T21:28:49.6350611Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:49.6350785Z ##[endgroup] 2025-08-14T21:28:49.6486800Z ##[group]Run set -eux 2025-08-14T21:28:49.6486999Z set -eux 2025-08-14T21:28:49.6487275Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:28:49.6492059Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:49.6492301Z env: 2025-08-14T21:28:49.6492462Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:49.6492840Z GITHUB_TOKEN: *** 2025-08-14T21:28:49.6492995Z ##[endgroup] 2025-08-14T21:28:49.6518938Z + python3 .github/scripts/get_workflow_job_id.py 16976255153 i-0e2ec405c00abd8cb 2025-08-14T21:28:50.5525830Z Setting output job-id=48128039109 2025-08-14T21:28:50.5529187Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:28:50.5773683Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:28:50.5774173Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:28:50.5774937Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:28:50.5775423Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:28:50.5780951Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:50.5781191Z env: 2025-08-14T21:28:50.5781352Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:50.5781524Z JOB_ID: 48128039109 2025-08-14T21:28:50.5781855Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:28:50.5782211Z WORKFLOW_NAME: inductor 2025-08-14T21:28:50.5782386Z WORKFLOW_RUN_ID: 16976255153 2025-08-14T21:28:50.5782608Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:28:50.5782785Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:28:50.5782980Z ##[endgroup] 2025-08-14T21:28:51.1460674Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:28:51.4116809Z Collecting psutil==5.9.8 2025-08-14T21:28:51.4286418Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-08-14T21:28:51.5112041Z Collecting dataclasses_json==0.6.7 2025-08-14T21:28:51.5148425Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:28:51.5425200Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:28:51.5466663Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:28:51.5859788Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:28:51.5895227Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:28:51.6833300Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:28:51.6870282Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:28:51.8084400Z Collecting packaging>=17.0 2025-08-14T21:28:51.8123455Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:28:51.9406777Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:28:51.9446425Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:28:52.0884325Z Collecting typing-extensions>=3.7.4 2025-08-14T21:28:52.0921402Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:28:52.3668269Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:28:52.9792173Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.14.1 typing-inspect-0.9.0 2025-08-14T21:28:53.1960443Z Prepare all required actions 2025-08-14T21:28:53.1960775Z Getting action download info 2025-08-14T21:28:53.3861707Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:28:53.6537272Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:28:53.9528849Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:28:53.9529108Z with: 2025-08-14T21:28:53.9529296Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:28:53.9529517Z s3-bucket: gha-artifacts 2025-08-14T21:28:53.9529705Z env: 2025-08-14T21:28:53.9529866Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:53.9530044Z ##[endgroup] 2025-08-14T21:28:53.9559676Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:28:53.9559895Z with: 2025-08-14T21:28:53.9560064Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:28:53.9560271Z s3-bucket: gha-artifacts 2025-08-14T21:28:53.9560486Z region: us-east-1 2025-08-14T21:28:53.9560628Z env: 2025-08-14T21:28:53.9560772Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:53.9560938Z ##[endgroup] 2025-08-14T21:28:54.3596945Z (node:47914) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:28:54.3597425Z 2025-08-14T21:28:54.3597656Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:28:54.3598009Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:28:54.3598361Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:28:54.6573455Z Found 1 objects with prefix pytorch/pytorch/16976255153/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:28:54.6573943Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:28:59.2932084Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:28:59.2932558Z Artifact download has finished successfully 2025-08-14T21:28:59.3146133Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:28:59.3146374Z unzip -o artifacts.zip 2025-08-14T21:28:59.3151051Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:59.3151281Z env: 2025-08-14T21:28:59.3151434Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:59.3151603Z ##[endgroup] 2025-08-14T21:28:59.3306144Z Archive: artifacts.zip 2025-08-14T21:28:59.3306589Z creating: dist/ 2025-08-14T21:29:00.3898989Z 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artifacts.zip 2025-08-14T21:29:06.0866261Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:06.0866490Z env: 2025-08-14T21:29:06.0866641Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:06.0866817Z ##[endgroup] 2025-08-14T21:29:06.1260810Z ##[group]Run df -H 2025-08-14T21:29:06.1261017Z df -H 2025-08-14T21:29:06.1265845Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:06.1266093Z env: 2025-08-14T21:29:06.1266279Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:06.1266457Z ##[endgroup] 2025-08-14T21:29:06.1312541Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:29:06.1314993Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:29:06.1315420Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:29:06.1315653Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:29:06.1315876Z /dev/nvme0n1p1 215G 69G 147G 32% / 2025-08-14T21:29:06.1316091Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:29:06.1316323Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:29:06.1339245Z Prepare all required actions 2025-08-14T21:29:06.1340150Z Getting action download info 2025-08-14T21:29:06.3024704Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:29:06.3024959Z with: 2025-08-14T21:29:06.3025112Z env: 2025-08-14T21:29:06.3025277Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:06.3025464Z ##[endgroup] 2025-08-14T21:29:06.3059153Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:29:06.3059377Z with: 2025-08-14T21:29:06.3059531Z name: td_results 2025-08-14T21:29:06.3059707Z s3-bucket: gha-artifacts 2025-08-14T21:29:06.3059880Z region: us-east-1 2025-08-14T21:29:06.3060059Z env: 2025-08-14T21:29:06.3060218Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:06.3060386Z ##[endgroup] 2025-08-14T21:29:06.6438289Z (node:47937) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:29:06.6438847Z 2025-08-14T21:29:06.6439192Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:29:06.6439607Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:29:06.6440000Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:29:06.7306306Z Found 0 objects with prefix pytorch/pytorch/16976255153/td_results/ 2025-08-14T21:29:06.7312357Z Artifact download has finished successfully 2025-08-14T21:29:06.7527435Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:29:06.7527710Z mkdir -p .additional_ci_files 2025-08-14T21:29:06.7527993Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:29:06.7532704Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:06.7532952Z env: 2025-08-14T21:29:06.7533116Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:06.7533293Z ##[endgroup] 2025-08-14T21:29:06.7587471Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:29:06.7751008Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:29:06.7751271Z .github/scripts/parse_ref.py 2025-08-14T21:29:06.7756043Z shell: /usr/bin/bash -e {0} 2025-08-14T21:29:06.7756228Z env: 2025-08-14T21:29:06.7756387Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:06.7756569Z ##[endgroup] 2025-08-14T21:29:06.7939415Z Setting output branch=main 2025-08-14T21:29:06.8026741Z Prepare all required actions 2025-08-14T21:29:06.8027055Z Getting action download info 2025-08-14T21:29:06.9538883Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:29:06.9539177Z with: 2025-08-14T21:29:06.9539676Z github-token: *** 2025-08-14T21:29:06.9541527Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:29:06.9543495Z job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:29:06.9543886Z env: 2025-08-14T21:29:06.9544191Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:06.9544396Z ##[endgroup] 2025-08-14T21:29:06.9582845Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:29:06.9583063Z with: 2025-08-14T21:29:06.9583225Z shell: bash 2025-08-14T21:29:06.9583393Z timeout_minutes: 10 2025-08-14T21:29:06.9583562Z max_attempts: 5 2025-08-14T21:29:06.9583737Z retry_wait_seconds: 30 2025-08-14T21:29:06.9584240Z 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 2025-08-14T21:29:06.9584742Z polling_interval_seconds: 1 2025-08-14T21:29:06.9584949Z warning_on_retry: true 2025-08-14T21:29:06.9585134Z continue_on_error: false 2025-08-14T21:29:06.9585319Z env: 2025-08-14T21:29:06.9585470Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:06.9585839Z GITHUB_TOKEN: *** 2025-08-14T21:29:06.9586008Z ##[endgroup] 2025-08-14T21:29:07.0478765Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:29:07.2245682Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:29:07.3239182Z Collecting requests==2.27.1 2025-08-14T21:29:07.3377311Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:29:07.4823726Z Collecting pyyaml==6.0.2 2025-08-14T21:29:07.4861731Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:29:07.5480132Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:29:07.8239220Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:29:07.8273840Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:29:07.8569882Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:29:07.9030856Z Collecting certifi>=2017.4.17 2025-08-14T21:29:07.9092883Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:29:07.9782448Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:29:08.0868238Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:29:09.0229223Z Command completed after 1 attempt(s). 2025-08-14T21:29:09.0294648Z ##[group]Run set -x 2025-08-14T21:29:09.0294860Z set -x 2025-08-14T21:29:09.0295014Z  2025-08-14T21:29:09.0295261Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:29:09.0295585Z # in runner workspace 2025-08-14T21:29:09.0296019Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:29:09.0301425Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:09.0301692Z env: 2025-08-14T21:29:09.0301895Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:09.0302088Z ##[endgroup] 2025-08-14T21:29:09.0328994Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:29:09.0469325Z Setting output branch=main 2025-08-14T21:29:09.0533715Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:29:09.0534027Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:29:09.0534277Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:29:09.0534708Z  2025-08-14T21:29:09.0534990Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:29:09.0535316Z # in runner workspace 2025-08-14T21:29:09.0535647Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:29:09.0535984Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:29:09.0536217Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:29:09.0538083Z  --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \ 2025-08-14T21:29:09.0540066Z  --selected-test-configs "" \ 2025-08-14T21:29:09.0540313Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:29:09.0540549Z  --tag "${TAG}" \ 2025-08-14T21:29:09.0540773Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:29:09.0541008Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:29:09.0541239Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:29:09.0546295Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:09.0546561Z env: 2025-08-14T21:29:09.0546737Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:09.0547355Z GITHUB_TOKEN: *** 2025-08-14T21:29:09.0547744Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:29:09.0548135Z PR_NUMBER: 2025-08-14T21:29:09.0548299Z TAG: 2025-08-14T21:29:09.0548464Z EVENT_NAME: push 2025-08-14T21:29:09.0548645Z SCHEDULE: 2025-08-14T21:29:09.0548814Z HEAD_BRANCH: main 2025-08-14T21:29:09.0548995Z ##[endgroup] 2025-08-14T21:29:09.0572752Z Workflow: inductor 2025-08-14T21:29:09.0573218Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:29:09.2245209Z Setting output keep-going=True 2025-08-14T21:29:09.2248351Z Setting output ci-verbose-test-logs=False 2025-08-14T21:29:09.2248652Z Setting output ci-test-showlocals=False 2025-08-14T21:29:09.2248922Z Setting output ci-no-test-timeout=False 2025-08-14T21:29:09.2249153Z Setting output ci-no-td=False 2025-08-14T21:29:09.2249389Z Setting output ci-td-distributed=False 2025-08-14T21:29:09.2249626Z Setting output is-unstable=False 2025-08-14T21:29:09.2249871Z Setting output reenabled-issues= 2025-08-14T21:29:09.2251943Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:29:09.2253651Z Setting output is-test-matrix-empty=False 2025-08-14T21:29:09.2422449Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:29:09.2422689Z echo "Filtered matrix:" 2025-08-14T21:29:09.2424288Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" 2025-08-14T21:29:09.2425983Z  2025-08-14T21:29:09.2426137Z echo 2025-08-14T21:29:09.2426332Z echo "Is the current job unstable? False" 2025-08-14T21:29:09.2426546Z  2025-08-14T21:29:09.2426692Z echo 2025-08-14T21:29:09.2426873Z echo "Is keep-going label set? True" 2025-08-14T21:29:09.2427073Z  2025-08-14T21:29:09.2427213Z echo 2025-08-14T21:29:09.2427375Z echo "Reenabled issues? " 2025-08-14T21:29:09.2431872Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:09.2432114Z env: 2025-08-14T21:29:09.2432279Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:09.2432455Z ##[endgroup] 2025-08-14T21:29:09.2459441Z Filtered matrix: 2025-08-14T21:29:09.2460999Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]} 2025-08-14T21:29:09.2462378Z 2025-08-14T21:29:09.2462461Z Is the current job unstable? False 2025-08-14T21:29:09.2462596Z 2025-08-14T21:29:09.2462676Z Is keep-going label set? True 2025-08-14T21:29:09.2462792Z 2025-08-14T21:29:09.2462861Z Reenabled issues? 2025-08-14T21:29:09.2504968Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:29:09.2505314Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:29:09.2509619Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:09.2509860Z env: 2025-08-14T21:29:09.2510022Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:09.2510193Z JOB_TIMEOUT: 240 2025-08-14T21:29:09.2510355Z ##[endgroup] 2025-08-14T21:29:09.2563378Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:09.2563710Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:09.2563978Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:09.2568244Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:09.2568476Z env: 2025-08-14T21:29:09.2568646Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:09.2568811Z ##[endgroup] 2025-08-14T21:29:09.2703668Z ##[group]Run set -x 2025-08-14T21:29:09.2703917Z set -x 2025-08-14T21:29:09.2704063Z  2025-08-14T21:29:09.2704238Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:29:09.2704485Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:29:09.2704724Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:29:09.2704952Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:29:09.2705142Z else 2025-08-14T21:29:09.2705311Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:29:09.2705494Z fi 2025-08-14T21:29:09.2705628Z  2025-08-14T21:29:09.2705800Z # Leaving 1GB for the runner and other things 2025-08-14T21:29:09.2706138Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:29:09.2706657Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:29:09.2707170Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:29:09.2707477Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:29:09.2707721Z  2025-08-14T21:29:09.2707900Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:29:09.2708111Z  SHM_OPTS= 2025-08-14T21:29:09.2708280Z  JENKINS_USER= 2025-08-14T21:29:09.2708505Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:29:09.2708786Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:29:09.2709031Z  # when job is cancelled 2025-08-14T21:29:09.2709232Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:29:09.2709416Z else 2025-08-14T21:29:09.2709583Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:29:09.2709798Z  JENKINS_USER="--user jenkins" 2025-08-14T21:29:09.2709999Z  DOCKER_SHELL_CMD= 2025-08-14T21:29:09.2710163Z fi 2025-08-14T21:29:09.2710304Z  2025-08-14T21:29:09.2710519Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:29:09.2710823Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:29:09.2711173Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:29:09.2711483Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:29:09.2711695Z container_name=$(docker run \ 2025-08-14T21:29:09.2711887Z  ${GPU_FLAG:-} \ 2025-08-14T21:29:09.2712083Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:29:09.2712299Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:29:09.2712485Z  -e PR_NUMBER \ 2025-08-14T21:29:09.2712664Z  -e GITHUB_ACTIONS \ 2025-08-14T21:29:09.2712853Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:29:09.2713044Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:29:09.2713221Z  -e GITHUB_JOB \ 2025-08-14T21:29:09.2713396Z  -e GITHUB_RUN_ID \ 2025-08-14T21:29:09.2713575Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:29:09.2713752Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:29:09.2713935Z  -e JOB_ID \ 2025-08-14T21:29:09.2714101Z  -e JOB_NAME \ 2025-08-14T21:29:09.2714261Z  -e BASE_SHA \ 2025-08-14T21:29:09.2714426Z  -e BRANCH \ 2025-08-14T21:29:09.2714585Z  -e SHA1 \ 2025-08-14T21:29:09.2714743Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:29:09.2714930Z  -e IN_WHEEL_TEST \ 2025-08-14T21:29:09.2715105Z  -e SHARD_NUMBER \ 2025-08-14T21:29:09.2715280Z  -e TEST_CONFIG \ 2025-08-14T21:29:09.2715453Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:29:09.2715637Z  -e REENABLED_ISSUES \ 2025-08-14T21:29:09.2715835Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:29:09.2716102Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:29:09.2716290Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:29:09.2716473Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:29:09.2716639Z  -e NO_TD \ 2025-08-14T21:29:09.2716809Z  -e TD_DISTRIBUTED \ 2025-08-14T21:29:09.2716990Z  -e PR_LABELS \ 2025-08-14T21:29:09.2717184Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:29:09.2717385Z  -e SCCACHE_BUCKET \ 2025-08-14T21:29:09.2717569Z  -e SCCACHE_REGION \ 2025-08-14T21:29:09.2717748Z  -e XLA_CUDA \ 2025-08-14T21:29:09.2717935Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:29:09.2718171Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:29:09.2718418Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:29:09.2718634Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:29:09.2718897Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:29:09.2719106Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:29:09.2719305Z  -e DASHBOARD_TAG \ 2025-08-14T21:29:09.2719483Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:29:09.2719706Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:29:09.2719964Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:29:09.2720210Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:29:09.2720452Z  --security-opt seccomp=unconfined \ 2025-08-14T21:29:09.2720663Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:29:09.2720849Z  --ipc=host \ 2025-08-14T21:29:09.2721012Z  ${SHM_OPTS} \ 2025-08-14T21:29:09.2721175Z  --tty \ 2025-08-14T21:29:09.2721330Z  --detach \ 2025-08-14T21:29:09.2721496Z  --name="${container_name}" \ 2025-08-14T21:29:09.2721692Z  ${JENKINS_USER} \ 2025-08-14T21:29:09.2721914Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:29:09.2722155Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:29:09.2722353Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:29:09.2722530Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:29:09.2722689Z ) 2025-08-14T21:29:09.2722882Z # Propagate download.pytorch.org IP to container 2025-08-14T21:29:09.2723270Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:29:09.2723671Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:29:09.2723903Z  2025-08-14T21:29:09.2724078Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:29:09.2724416Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:29:09.2724712Z fi 2025-08-14T21:29:09.2724844Z  2025-08-14T21:29:09.2725143Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:29:09.2729729Z shell: /usr/bin/bash -e {0} 2025-08-14T21:29:09.2729908Z env: 2025-08-14T21:29:09.2730066Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:09.2730286Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:09.2730500Z PR_NUMBER: 2025-08-14T21:29:09.2730668Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:29:09.2730870Z GITHUB_WORKFLOW: inductor 2025-08-14T21:29:09.2731033Z GITHUB_JOB: test 2025-08-14T21:29:09.2731198Z GITHUB_RUN_ID: 16976255153 2025-08-14T21:29:09.2731375Z GITHUB_RUN_NUMBER: 147536 2025-08-14T21:29:09.2731549Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:29:09.2731707Z JOB_ID: 48128039109 2025-08-14T21:29:09.2732030Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:29:09.2732363Z BRANCH: main 2025-08-14T21:29:09.2732532Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:09.2732842Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:09.2733066Z TEST_CONFIG: dynamic_cpu_inductor_timm 2025-08-14T21:29:09.2733256Z SHARD_NUMBER: 2 2025-08-14T21:29:09.2733412Z NUM_TEST_SHARDS: 2 2025-08-14T21:29:09.2733568Z REENABLED_ISSUES: 2025-08-14T21:29:09.2733729Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:29:09.2733900Z VERBOSE_TEST_LOGS: False 2025-08-14T21:29:09.2734071Z TEST_SHOWLOCALS: False 2025-08-14T21:29:09.2734237Z NO_TEST_TIMEOUT: False 2025-08-14T21:29:09.2734390Z NO_TD: False 2025-08-14T21:29:09.2734708Z TD_DISTRIBUTED: False 2025-08-14T21:29:09.2734938Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:29:09.2735169Z SCCACHE_REGION: us-east-1 2025-08-14T21:29:09.2735354Z SHM_SIZE: 1g 2025-08-14T21:29:09.2735871Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:29:09.2736436Z XLA_CUDA: 2025-08-14T21:29:09.2736663Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:09.2736942Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:29:09.2737152Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:29:09.2737353Z DASHBOARD_TAG: 2025-08-14T21:29:09.2737698Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:29:09.2737974Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:29:09.2738287Z ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109 2025-08-14T21:29:09.2738598Z ##[endgroup] 2025-08-14T21:29:09.2764113Z + [[ dynamic_cpu_inductor_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:29:09.2766212Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:29:09.2766575Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:29:09.2770177Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:29:09.2782545Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:29:09.2782838Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:29:09.2783089Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:29:09.2783325Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:29:09.2783517Z + JENKINS_USER='--user jenkins' 2025-08-14T21:29:09.2783707Z + DOCKER_SHELL_CMD= 2025-08-14T21:29:09.2790565Z +++ nproc --ignore=2 2025-08-14T21:29:09.2827687Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_16976255153 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:29:23.1674801Z + container_name=c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:29:23.1676810Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:29:23.1678170Z + docker exec -i c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:29:23.3187111Z + echo DOCKER_CONTAINER_ID=c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:29:23.3187991Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:29:23.3190861Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:23.3193453Z + docker exec -t c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:29:23.6970950Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:29:23.9197476Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0) 2025-08-14T21:29:23.9203543Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1) 2025-08-14T21:29:23.9208136Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3) 2025-08-14T21:29:23.9209358Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8) 2025-08-14T21:29:23.9212376Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6) 2025-08-14T21:29:23.9213250Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0) 2025-08-14T21:29:23.9221056Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0) 2025-08-14T21:29:23.9541470Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4) 2025-08-14T21:29:23.9550865Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0) 2025-08-14T21:29:23.9603959Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2) 2025-08-14T21:29:24.7647400Z Installing collected packages: torch 2025-08-14T21:29:32.4278162Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-08-14T21:29:32.4278844Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:29:32.4279175Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:29:32.4279575Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:29:32.4280152Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:29:32.4280671Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:29:32.4281043Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:29:32.6347248Z + export TERM=vt100 2025-08-14T21:29:32.6348344Z + TERM=vt100 2025-08-14T21:29:32.6349945Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:29:32.6358323Z + source .ci/pytorch/common.sh 2025-08-14T21:29:32.6358901Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:29:32.6368391Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:29:32.6368772Z +++ declare -f -t trap_add 2025-08-14T21:29:32.6372954Z ++ set -ex -o pipefail 2025-08-14T21:29:32.6373284Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:32.6373563Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:29:32.6377366Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:29:32.6403954Z + source .ci/pytorch/common-build.sh 2025-08-14T21:29:32.6405836Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:29:32.6411256Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:29:32.6420512Z +++ cd .ci/pytorch 2025-08-14T21:29:32.6421419Z +++ pwd -P 2025-08-14T21:29:32.6424574Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:29:32.6425244Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:29:32.6425507Z ++ which sccache 2025-08-14T21:29:32.6441663Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:29:32.6441971Z ++ sccache --stop-server 2025-08-14T21:29:32.6468568Z ++ true 2025-08-14T21:29:32.6468814Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:29:32.6480564Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:29:32.6481637Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:29:32.6481981Z ++ shift 2025-08-14T21:29:32.6482629Z ++ for trap_add_name in "$@" 2025-08-14T21:29:32.6489322Z ++++ trap -p EXIT 2025-08-14T21:29:32.6494114Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:29:32.6494451Z ++++ extract_trap_cmd 2025-08-14T21:29:32.6495513Z ++++ printf '%s\n' '' 2025-08-14T21:29:32.6495776Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:29:32.6497278Z ++ trap -- ' 2025-08-14T21:29:32.6497684Z sccache_epilogue' EXIT 2025-08-14T21:29:32.6497898Z ++ [[ -n 1 ]] 2025-08-14T21:29:32.6498204Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:29:32.6498631Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:29:32.6498957Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:32.6499179Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:32.6499441Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:32.6499752Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:32.6500087Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:29:32.6500327Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:29:32.6500715Z ++ sccache --zero-stats 2025-08-14T21:29:32.8040078Z Statistics zeroed. 2025-08-14T21:29:32.8048664Z ++ which ccache 2025-08-14T21:29:32.8076911Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:29:32.8077465Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:29:32.8077918Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:29:32.8078195Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:29:32.8092684Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:29:32.8092995Z + trap_add cleanup_workspace EXIT 2025-08-14T21:29:32.8093233Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:29:32.8093426Z + shift 2025-08-14T21:29:32.8093597Z + for trap_add_name in "$@" 2025-08-14T21:29:32.8105049Z +++ trap -p EXIT 2025-08-14T21:29:32.8105613Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:29:32.8105855Z sccache_epilogue'\'' EXIT' 2025-08-14T21:29:32.8106094Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:29:32.8106291Z sccache_epilogue' EXIT 2025-08-14T21:29:32.8106474Z +++ printf '%s\n' ' 2025-08-14T21:29:32.8106697Z sccache_epilogue' 2025-08-14T21:29:32.8106880Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:29:32.8110968Z + trap -- ' 2025-08-14T21:29:32.8111304Z sccache_epilogue 2025-08-14T21:29:32.8111518Z cleanup_workspace' EXIT 2025-08-14T21:29:32.8111776Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:29:33.2874754Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:29:33.2905188Z + echo 'Environment variables:' 2025-08-14T21:29:33.2905504Z Environment variables: 2025-08-14T21:29:33.2905724Z + env 2025-08-14T21:29:33.2906574Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:29:33.2907079Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:29:33.2907357Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:33.2907616Z HOSTNAME=c4508ffd4904 2025-08-14T21:29:33.2908040Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.2909875Z GITHUB_ACTION=__run_2 2025-08-14T21:29:33.2910166Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:29:33.2911025Z GITHUB_RUN_NUMBER=147536 2025-08-14T21:29:33.2911360Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-14T21:29:33.2911609Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:29:33.2911862Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:29:33.2912093Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:33.2912591Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:29:33.2912824Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:29:33.2913049Z GITHUB_REF_TYPE=branch 2025-08-14T21:29:33.2913238Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:29:33.2913464Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:33.2913698Z XLA_CUDA= 2025-08-14T21:29:33.2913868Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:29:33.2914153Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:29:33.2914641Z *** 2025-08-14T21:29:33.2914810Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:29:33.2915010Z GITHUB_ACTIONS=true 2025-08-14T21:29:33.2915355Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:33.2915633Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:33.2915888Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:33.2916249Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-08-14T21:29:33.2916576Z UCC_HOME=/usr 2025-08-14T21:29:33.2916750Z VERBOSE_TEST_LOGS=False 2025-08-14T21:29:33.2916939Z GITHUB_REF=refs/heads/main 2025-08-14T21:29:33.2917242Z SHARD_NUMBER=2 2025-08-14T21:29:33.2917429Z GITHUB_REF_PROTECTED=true 2025-08-14T21:29:33.2917612Z HOME=/var/lib/jenkins 2025-08-14T21:29:33.2917824Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:29:33.2918063Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:29:33.2918260Z UCX_COMMIT= 2025-08-14T21:29:33.2918421Z USE_SYSTEM_NCCL=1 2025-08-14T21:29:33.2918591Z NUM_TEST_SHARDS=2 2025-08-14T21:29:33.2918757Z UCX_HOME=/usr 2025-08-14T21:29:33.2919138Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.2919752Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:29:33.2920337Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.2920852Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:29:33.2921185Z GITHUB_EVENT_NAME=push 2025-08-14T21:29:33.2921366Z DASHBOARD_TAG= 2025-08-14T21:29:33.2921537Z GITHUB_RUN_ID=16976255153 2025-08-14T21:29:33.2921720Z INSTALLED_OPENBLAS= 2025-08-14T21:29:33.2922135Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.2922579Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:29:33.2922766Z PR_NUMBER= 2025-08-14T21:29:33.2922919Z DESIRED_CUDA= 2025-08-14T21:29:33.2923083Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:29:33.2923266Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:29:33.2923505Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:29:33.2923739Z TERM=vt100 2025-08-14T21:29:33.2923890Z INSTALLED_VISION=yes 2025-08-14T21:29:33.2924058Z BRANCH=main 2025-08-14T21:29:33.2924221Z SCCACHE_REGION=us-east-1 2025-08-14T21:29:33.2924414Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:29:33.2924618Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:29:33.2924976Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:29:33.2925359Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:29:33.2925561Z UCC_COMMIT= 2025-08-14T21:29:33.2925714Z REENABLED_ISSUES= 2025-08-14T21:29:33.2925874Z DOCS=yes 2025-08-14T21:29:33.2926017Z SHLVL=1 2025-08-14T21:29:33.2926161Z MAX_JOBS=30 2025-08-14T21:29:33.2926318Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:29:33.2926555Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:33.2926810Z GITHUB_REF_NAME=main 2025-08-14T21:29:33.2927154Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:33.2927442Z GITHUB_JOB=test 2025-08-14T21:29:33.2927608Z NO_TEST_TIMEOUT=False 2025-08-14T21:29:33.2927785Z TD_DISTRIBUTED=False 2025-08-14T21:29:33.2927968Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:29:33.2928181Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:29:33.2928367Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:29:33.2928550Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:29:33.2929060Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:29:33.2929559Z GITHUB_BASE_REF= 2025-08-14T21:29:33.2929724Z INSTALLED_ACL= 2025-08-14T21:29:33.2930013Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109 2025-08-14T21:29:33.2930337Z CI=true 2025-08-14T21:29:33.2930504Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:29:33.2930766Z RUST_LOG=sccache::server=error 2025-08-14T21:29:33.2931013Z JOB_ID=48128039109 2025-08-14T21:29:33.2931179Z GITHUB_HEAD_REF= 2025-08-14T21:29:33.2931337Z GITHUB_ACTION_REF= 2025-08-14T21:29:33.2931545Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:29:33.2931793Z TEST_SHOWLOCALS=False 2025-08-14T21:29:33.2931970Z GITHUB_WORKFLOW=inductor 2025-08-14T21:29:33.2932161Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:29:33.2932570Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.2932978Z NO_TD=False 2025-08-14T21:29:33.2933142Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:29:33.2933356Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:29:33.2933570Z _=/usr/bin/env 2025-08-14T21:29:33.2933794Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:29:33.3216402Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:29:33.3216913Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:29:33.3217370Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:29:33.3217748Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:29:33.3218054Z + BUILD_DIR=build 2025-08-14T21:29:33.3218259Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:29:33.3218472Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:29:33.3218673Z + SHARD_NUMBER=2 2025-08-14T21:29:33.3218851Z + NUM_TEST_SHARDS=2 2025-08-14T21:29:33.3219049Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:33.3219279Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:33.3219492Z + export VALGRIND=ON 2025-08-14T21:29:33.3219668Z + VALGRIND=ON 2025-08-14T21:29:33.3219884Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:29:33.3220164Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:33.3220423Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:29:33.3220656Z + [[ 0 == \1 ]] 2025-08-14T21:29:33.3220837Z + [[ True == \1 ]] 2025-08-14T21:29:33.3221049Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:29:33.3222525Z ++ realpath build/custom_test_artifacts 2025-08-14T21:29:33.3245044Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:29:33.3245418Z + [[ -n '' ]] 2025-08-14T21:29:33.3247819Z + echo 'Environment variables' 2025-08-14T21:29:33.3248113Z Environment variables 2025-08-14T21:29:33.3248309Z + env 2025-08-14T21:29:33.3270300Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:29:33.3270786Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:29:33.3271215Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:33.3271518Z HOSTNAME=c4508ffd4904 2025-08-14T21:29:33.3271935Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.3272349Z GITHUB_ACTION=__run_2 2025-08-14T21:29:33.3272560Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:29:33.3272812Z GITHUB_RUN_NUMBER=147536 2025-08-14T21:29:33.3273342Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-14T21:29:33.3273590Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:29:33.3273843Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:29:33.3274084Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:33.3274549Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:29:33.3274881Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:29:33.3275165Z GITHUB_REF_TYPE=branch 2025-08-14T21:29:33.3275355Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:29:33.3275587Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:33.3275821Z XLA_CUDA= 2025-08-14T21:29:33.3275985Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:29:33.3276282Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:29:33.3276535Z *** 2025-08-14T21:29:33.3276696Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:29:33.3276887Z GITHUB_ACTIONS=true 2025-08-14T21:29:33.3277111Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:33.3277494Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:33.3277744Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:33.3278098Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-08-14T21:29:33.3278417Z UCC_HOME=/usr 2025-08-14T21:29:33.3278595Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:33.3278788Z VERBOSE_TEST_LOGS=False 2025-08-14T21:29:33.3278985Z GITHUB_REF=refs/heads/main 2025-08-14T21:29:33.3279176Z SHARD_NUMBER=2 2025-08-14T21:29:33.3279347Z GITHUB_REF_PROTECTED=true 2025-08-14T21:29:33.3279539Z HOME=/var/lib/jenkins 2025-08-14T21:29:33.3279747Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:29:33.3279975Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:29:33.3280183Z UCX_COMMIT= 2025-08-14T21:29:33.3280344Z USE_SYSTEM_NCCL=1 2025-08-14T21:29:33.3280510Z NUM_TEST_SHARDS=2 2025-08-14T21:29:33.3280679Z UCX_HOME=/usr 2025-08-14T21:29:33.3281061Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.3281662Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:29:33.3282234Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.3282748Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:29:33.3283074Z GITHUB_EVENT_NAME=push 2025-08-14T21:29:33.3283252Z DASHBOARD_TAG= 2025-08-14T21:29:33.3283429Z GITHUB_RUN_ID=16976255153 2025-08-14T21:29:33.3283623Z INSTALLED_OPENBLAS= 2025-08-14T21:29:33.3284021Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.3284460Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:29:33.3284687Z PR_NUMBER= 2025-08-14T21:29:33.3284839Z DESIRED_CUDA= 2025-08-14T21:29:33.3285009Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:29:33.3285192Z VALGRIND=ON 2025-08-14T21:29:33.3285360Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:29:33.3285599Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:29:33.3285840Z TERM=vt100 2025-08-14T21:29:33.3286003Z INSTALLED_VISION=yes 2025-08-14T21:29:33.3286172Z BRANCH=main 2025-08-14T21:29:33.3286337Z SCCACHE_REGION=us-east-1 2025-08-14T21:29:33.3286539Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:29:33.3286736Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:29:33.3287090Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:29:33.3287468Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:29:33.3287673Z UCC_COMMIT= 2025-08-14T21:29:33.3287833Z REENABLED_ISSUES= 2025-08-14T21:29:33.3288003Z DOCS=yes 2025-08-14T21:29:33.3288147Z SHLVL=1 2025-08-14T21:29:33.3288297Z MAX_JOBS=30 2025-08-14T21:29:33.3288459Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:29:33.3288693Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:33.3288957Z GITHUB_REF_NAME=main 2025-08-14T21:29:33.3289316Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:33.3289605Z GITHUB_JOB=test 2025-08-14T21:29:33.3289774Z NO_TEST_TIMEOUT=False 2025-08-14T21:29:33.3289954Z TD_DISTRIBUTED=False 2025-08-14T21:29:33.3290143Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:29:33.3290352Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:29:33.3290546Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:29:33.3290740Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:29:33.3291237Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:29:33.3291740Z GITHUB_BASE_REF= 2025-08-14T21:29:33.3291912Z INSTALLED_ACL= 2025-08-14T21:29:33.3292201Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109 2025-08-14T21:29:33.3292551Z CI=true 2025-08-14T21:29:33.3292718Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:29:33.3293033Z RUST_LOG=sccache::server=error 2025-08-14T21:29:33.3293230Z JOB_ID=48128039109 2025-08-14T21:29:33.3293402Z GITHUB_HEAD_REF= 2025-08-14T21:29:33.3293574Z GITHUB_ACTION_REF= 2025-08-14T21:29:33.3293782Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:29:33.3294034Z TEST_SHOWLOCALS=False 2025-08-14T21:29:33.3294221Z GITHUB_WORKFLOW=inductor 2025-08-14T21:29:33.3294415Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:29:33.3295092Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_142edebd-4c3e-416f-b6a8-668ecb034c89 2025-08-14T21:29:33.3295527Z NO_TD=False 2025-08-14T21:29:33.3295705Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:29:33.3295923Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:29:33.3296148Z _=/usr/bin/env 2025-08-14T21:29:33.3296326Z + echo 'Testing pytorch' 2025-08-14T21:29:33.3296507Z Testing pytorch 2025-08-14T21:29:33.3296709Z + export LANG=C.UTF-8 2025-08-14T21:29:33.3296897Z + LANG=C.UTF-8 2025-08-14T21:29:33.3297063Z + PR_NUMBER= 2025-08-14T21:29:33.3297265Z + [[ dynamic_cpu_inductor_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:29:33.3297546Z + [[ dynamic_cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:29:33.3297809Z + [[ dynamic_cpu_inductor_timm == \s\l\o\w ]] 2025-08-14T21:29:33.3298091Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:29:33.3298373Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:29:33.3298624Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:33.3298878Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:33.3299126Z + [[ dynamic_cpu_inductor_timm == *crossref* ]] 2025-08-14T21:29:33.3299374Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:33.3299615Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:33.3299876Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:29:33.3300122Z + pip_install ninja==1.10.2 2025-08-14T21:29:33.3300555Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:29:33.3300921Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:29:33.7515090Z Collecting ninja==1.10.2 2025-08-14T21:29:33.7666331Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:29:33.7805588Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:29:34.6156685Z Installing collected packages: ninja 2025-08-14T21:29:34.6157023Z Attempting uninstall: ninja 2025-08-14T21:29:34.6164253Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:29:34.6187388Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:29:34.6405409Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:29:34.9235303Z Successfully installed ninja-1.10.2 2025-08-14T21:29:35.1023263Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:29:35.1024688Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:29:35.1025339Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:29:35.1025621Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:29:35.1025881Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:29:35.1026150Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:29:35.1026557Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:29:35.1027021Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:29:35.1027498Z + cd test 2025-08-14T21:29:35.1028267Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:29:36.6089195Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:29:36.6090039Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:29:36.6090372Z + [[ dynamic_cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:29:36.6090947Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:29:36.6091227Z + [[ dynamic_cpu_inductor_timm == *pr_time_benchmarks* ]] 2025-08-14T21:29:36.6091511Z + [[ dynamic_cpu_inductor_timm == *dynamo_eager* ]] 2025-08-14T21:29:36.6091790Z + [[ dynamic_cpu_inductor_timm == *aot_eager* ]] 2025-08-14T21:29:36.6092052Z + [[ dynamic_cpu_inductor_timm == *aot_inductor* ]] 2025-08-14T21:29:36.6092332Z + [[ dynamic_cpu_inductor_timm == *max_autotune_inductor* ]] 2025-08-14T21:29:36.6092601Z + [[ dynamic_cpu_inductor_timm == *inductor* ]] 2025-08-14T21:29:36.6092853Z + [[ dynamic_cpu_inductor_timm != *perf* ]] 2025-08-14T21:29:36.6093126Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:29:36.6093360Z + [[ dynamic_cpu_inductor_timm == *dynamic* ]] 2025-08-14T21:29:36.6093679Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-08-14T21:29:36.6093992Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-14T21:29:36.6094229Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:29:36.6237695Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:29:36.6238075Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:29:36.6238757Z + cd test 2025-08-14T21:29:36.6240384Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:29:37.7837920Z PyTorch built with: 2025-08-14T21:29:37.7838257Z - GCC 11.4 2025-08-14T21:29:37.7838456Z - C++ Version: 201703 2025-08-14T21:29:37.7838891Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:29:37.7839407Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:29:37.7839726Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:29:37.7839986Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:29:37.7840270Z - NNPACK is enabled 2025-08-14T21:29:37.7840482Z - CPU capability usage: AVX512 2025-08-14T21:29:37.7843993Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-14T21:29:37.7847333Z 2025-08-14T21:29:38.1201329Z + cd test 2025-08-14T21:29:38.1201703Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:29:39.2531662Z ATen/Parallel: 2025-08-14T21:29:39.2531990Z at::get_num_threads() : 16 2025-08-14T21:29:39.2532234Z at::get_num_interop_threads() : 16 2025-08-14T21:29:39.2532463Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:29:39.2532674Z omp_get_max_threads() : 16 2025-08-14T21:29:39.2533106Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:29:39.2533504Z mkl_get_max_threads() : 16 2025-08-14T21:29:39.2533781Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:29:39.2534679Z std::thread::hardware_concurrency() : 32 2025-08-14T21:29:39.2534954Z Environment variables: 2025-08-14T21:29:39.2535163Z OMP_NUM_THREADS : [not set] 2025-08-14T21:29:39.2535355Z MKL_NUM_THREADS : [not set] 2025-08-14T21:29:39.2535560Z ATen parallel backend: OpenMP 2025-08-14T21:29:39.2535689Z 2025-08-14T21:29:39.6208890Z + [[ dynamic_cpu_inductor_timm == *numpy_2* ]] 2025-08-14T21:29:39.6209459Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:29:39.6209828Z + [[ dynamic_cpu_inductor_timm == *backward* ]] 2025-08-14T21:29:39.6210785Z + [[ dynamic_cpu_inductor_timm == *xla* ]] 2025-08-14T21:29:39.6211146Z + [[ dynamic_cpu_inductor_timm == *executorch* ]] 2025-08-14T21:29:39.6211448Z + [[ dynamic_cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:29:39.6211747Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:29:39.6212022Z + [[ dynamic_cpu_inductor_timm == distributed ]] 2025-08-14T21:29:39.6212293Z + [[ dynamic_cpu_inductor_timm == *operator_benchmark* ]] 2025-08-14T21:29:39.6212701Z + [[ dynamic_cpu_inductor_timm == *inductor_distributed* ]] 2025-08-14T21:29:39.6212999Z + [[ dynamic_cpu_inductor_timm == *inductor-halide* ]] 2025-08-14T21:29:39.6213284Z + [[ dynamic_cpu_inductor_timm == *inductor-triton-cpu* ]] 2025-08-14T21:29:39.6213594Z + [[ dynamic_cpu_inductor_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:29:39.6213892Z + [[ dynamic_cpu_inductor_timm == *huggingface* ]] 2025-08-14T21:29:39.6214140Z + [[ dynamic_cpu_inductor_timm == *timm* ]] 2025-08-14T21:29:39.6214360Z + install_torchvision 2025-08-14T21:29:39.6214724Z + local orig_preload 2025-08-14T21:29:39.6214910Z + local commit 2025-08-14T21:29:39.6215089Z ++ get_pinned_commit vision 2025-08-14T21:29:39.6215303Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:29:39.6247151Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:29:39.6248054Z + orig_preload= 2025-08-14T21:29:39.6248264Z + '[' -n '' ']' 2025-08-14T21:29:39.6248527Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:29:39.6249123Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:29:39.6249751Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:29:39.6250139Z + local wheel_dir=dist/vision 2025-08-14T21:29:39.6250349Z + local found_whl=0 2025-08-14T21:29:39.6250541Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:29:39.6250881Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:29:39.6251202Z + found_whl=1 2025-08-14T21:29:39.6251360Z + break 2025-08-14T21:29:39.6251516Z + '[' 1 == 0 ']' 2025-08-14T21:29:39.6251706Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:29:39.6252045Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:39.6252500Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:29:39.6252820Z + local args 2025-08-14T21:29:39.6253571Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:29:39.6253927Z + for path in "${args[@]}" 2025-08-14T21:29:39.6254269Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:29:39.6254995Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:39.6255563Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:39.9569009Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:39.9659329Z Installing collected packages: torchvision 2025-08-14T21:29:40.3908734Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:29:40.4465885Z + '[' -n '' ']' 2025-08-14T21:29:40.4466139Z + id=1 2025-08-14T21:29:40.4466329Z + test_dynamo_benchmark timm_models 1 2025-08-14T21:29:40.4472114Z ++ pwd 2025-08-14T21:29:40.4472794Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:40.4473106Z + local suite=timm_models 2025-08-14T21:29:40.4479211Z + shift 2025-08-14T21:29:40.4479426Z + local shard_id=1 2025-08-14T21:29:40.4479621Z + shift 2025-08-14T21:29:40.4479831Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:29:40.4480114Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-14T21:29:40.4480361Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-14T21:29:40.4480579Z + local dt=float32 2025-08-14T21:29:40.4480767Z + [[ dynamic_cpu_inductor_timm == *amp* ]] 2025-08-14T21:29:40.4481012Z + [[ dynamic_cpu_inductor_timm == *freezing* ]] 2025-08-14T21:29:40.4481350Z + test_single_dynamo_benchmark inference timm_models 1 --inference --float32 2025-08-14T21:29:40.4481653Z ++ pwd 2025-08-14T21:29:40.4481879Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:40.4482205Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:40.4496635Z + local name=inference 2025-08-14T21:29:40.4496903Z + shift 2025-08-14T21:29:40.4497103Z + local suite=timm_models 2025-08-14T21:29:40.4497306Z + shift 2025-08-14T21:29:40.4497458Z + local shard_id=1 2025-08-14T21:29:40.4497630Z + shift 2025-08-14T21:29:40.4497791Z + partition_flags=() 2025-08-14T21:29:40.4497978Z + local partition_flags 2025-08-14T21:29:40.4498171Z + [[ -n 2 ]] 2025-08-14T21:29:40.4498339Z + [[ -n 1 ]] 2025-08-14T21:29:40.4498639Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:29:40.4499025Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:29:40.4499292Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-14T21:29:40.4499541Z + [[ dynamic_cpu_inductor_timm == *_avx2* ]] 2025-08-14T21:29:40.4499783Z + [[ dynamic_cpu_inductor_timm == *_avx512* ]] 2025-08-14T21:29:40.4500878Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-14T21:29:47.7211710Z 2025-08-14T21:29:47.8605265Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:29:47.8607991Z 2025-08-14T21:29:47.9465946Z model.safetensors: 0% 0.00/29.6M [00:00 2025-08-14T21:30:21.3354553Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3354710Z 2025-08-14T21:30:21.3354798Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3355039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3355378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3355695Z return mod(*inputs) 2025-08-14T21:30:21.3356005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3356346Z x = self.forward_features(x) 2025-08-14T21:30:21.3356697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3357045Z x = self.blocks(x) 2025-08-14T21:30:21.3357369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3357704Z x = self.conv_pw(x) 2025-08-14T21:30:21.3358005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3358360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3358733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3359105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3359307Z 2025-08-14T21:30:21.3359396Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3359601Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3359834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3360182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3360500Z return mod(*inputs) 2025-08-14T21:30:21.3360810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3361145Z x = self.forward_features(x) 2025-08-14T21:30:21.3361487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3361843Z x = self.blocks(x) 2025-08-14T21:30:21.3362163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3362562Z x = self.conv_pw(x) 2025-08-14T21:30:21.3362867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3363205Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3363324Z 2025-08-14T21:30:21.3363427Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3363790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3364105Z return mod(*inputs) 2025-08-14T21:30:21.3364421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3364769Z x = self.forward_features(x) 2025-08-14T21:30:21.3365120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3365477Z x = self.blocks(x) 2025-08-14T21:30:21.3365821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3366171Z x = self.bn1(x) 2025-08-14T21:30:21.3366465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3366819Z x = self.act(x) 2025-08-14T21:30:21.3366914Z 2025-08-14T21:30:21.3367025Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3367615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3367929Z return mod(*inputs) 2025-08-14T21:30:21.3368239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3368574Z x = self.forward_features(x) 2025-08-14T21:30:21.3368916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3369275Z x = self.blocks(x) 2025-08-14T21:30:21.3369612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3369962Z x = self.conv_dw(x) 2025-08-14T21:30:21.3370266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3370637Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3371024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3371405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3371576Z 2025-08-14T21:30:21.3371679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3372035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3372357Z return mod(*inputs) 2025-08-14T21:30:21.3372664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3373060Z x = self.forward_features(x) 2025-08-14T21:30:21.3373410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3373760Z x = self.blocks(x) 2025-08-14T21:30:21.3374087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3374463Z x = self.conv_dw(x) 2025-08-14T21:30:21.3374888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3375287Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3375689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3376125Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3376321Z 2025-08-14T21:30:21.3376431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3376770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3377079Z return mod(*inputs) 2025-08-14T21:30:21.3377379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3377697Z x = self.forward_features(x) 2025-08-14T21:30:21.3378034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3378378Z x = self.blocks(x) 2025-08-14T21:30:21.3378695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3379056Z x = self.conv_dw(x) 2025-08-14T21:30:21.3379358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3379722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3380086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3380461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3380624Z 2025-08-14T21:30:21.3380706Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3380932Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3381125Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3381353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3381697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3382002Z return mod(*inputs) 2025-08-14T21:30:21.3382312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3382647Z x = self.forward_features(x) 2025-08-14T21:30:21.3382995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3383347Z x = self.blocks(x) 2025-08-14T21:30:21.3383670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3384013Z x = self.conv_dw(x) 2025-08-14T21:30:21.3384301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3384620Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3384726Z 2025-08-14T21:30:21.3384832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3385172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3385470Z return mod(*inputs) 2025-08-14T21:30:21.3385769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3386100Z x = self.forward_features(x) 2025-08-14T21:30:21.3386499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3386860Z x = self.blocks(x) 2025-08-14T21:30:21.3387193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:30:21.3387537Z x = self.bn2(x) 2025-08-14T21:30:21.3387827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3388145Z x = self.act(x) 2025-08-14T21:30:21.3388237Z 2025-08-14T21:30:21.3388344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3388689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3389013Z return mod(*inputs) 2025-08-14T21:30:21.3389331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3389706Z x = self.forward_features(x) 2025-08-14T21:30:21.3390045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3390392Z x = self.blocks(x) 2025-08-14T21:30:21.3390714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3391053Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3391367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3391735Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3392108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3392469Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3392632Z 2025-08-14T21:30:21.3392736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3393092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3393406Z return mod(*inputs) 2025-08-14T21:30:21.3393718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3394055Z x = self.forward_features(x) 2025-08-14T21:30:21.3394407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3394754Z x = self.blocks(x) 2025-08-14T21:30:21.3395081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3395428Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3395731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3396090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3396474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3396854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3397009Z 2025-08-14T21:30:21.3397089Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3397309Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3397569Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3397914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3398230Z return mod(*inputs) 2025-08-14T21:30:21.3398541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3398872Z x = self.forward_features(x) 2025-08-14T21:30:21.3399210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3399560Z x = self.blocks(x) 2025-08-14T21:30:21.3399968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3400313Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3400949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3401289Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3401403Z 2025-08-14T21:30:21.3401520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3401881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3402197Z return mod(*inputs) 2025-08-14T21:30:21.3402508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3402841Z x = self.forward_features(x) 2025-08-14T21:30:21.3403198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3403635Z x = self.blocks(x) 2025-08-14T21:30:21.3403956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:30:21.3404289Z x = self.bn3(x) 2025-08-14T21:30:21.3404584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3404906Z x = F.batch_norm( 2025-08-14T21:30:21.3405001Z 2025-08-14T21:30:21.3405108Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3405450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3405767Z return mod(*inputs) 2025-08-14T21:30:21.3406080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3406411Z x = self.forward_features(x) 2025-08-14T21:30:21.3406766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3407118Z x = self.blocks(x) 2025-08-14T21:30:21.3407431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3407781Z x = self.conv_pw(x) 2025-08-14T21:30:21.3408092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3408471Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3408852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3409236Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3409402Z 2025-08-14T21:30:21.3409506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3409860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3410183Z return mod(*inputs) 2025-08-14T21:30:21.3410501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3410846Z x = self.forward_features(x) 2025-08-14T21:30:21.3411193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3411553Z x = self.blocks(x) 2025-08-14T21:30:21.3411889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3412248Z x = self.conv_pw(x) 2025-08-14T21:30:21.3412551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3412918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3413297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3413732Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3413901Z 2025-08-14T21:30:21.3413981Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3414197Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3414434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3414873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3415223Z return mod(*inputs) 2025-08-14T21:30:21.3415563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3415921Z x = self.forward_features(x) 2025-08-14T21:30:21.3416305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3416669Z x = self.blocks(x) 2025-08-14T21:30:21.3417055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3417405Z x = self.conv_pw(x) 2025-08-14T21:30:21.3417719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3418056Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3418166Z 2025-08-14T21:30:21.3418273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3418634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3418956Z return mod(*inputs) 2025-08-14T21:30:21.3419274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3419610Z x = self.forward_features(x) 2025-08-14T21:30:21.3419967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3420331Z x = self.blocks(x) 2025-08-14T21:30:21.3420659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3421018Z x = self.bn1(x) 2025-08-14T21:30:21.3421320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3421644Z x = self.act(x) 2025-08-14T21:30:21.3421736Z 2025-08-14T21:30:21.3421840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3422196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3422523Z return mod(*inputs) 2025-08-14T21:30:21.3422830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3423187Z x = self.forward_features(x) 2025-08-14T21:30:21.3423546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3423911Z x = self.blocks(x) 2025-08-14T21:30:21.3424237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3424591Z x = self.conv_dw(x) 2025-08-14T21:30:21.3424691Z 2025-08-14T21:30:21.3424801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3425157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3425484Z return mod(*inputs) 2025-08-14T21:30:21.3425806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3426171Z x = self.forward_features(x) 2025-08-14T21:30:21.3426544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3426936Z x = self.blocks(x) 2025-08-14T21:30:21.3427329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:30:21.3427684Z x = self.bn2(x) 2025-08-14T21:30:21.3427975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3428310Z x = self.act(x) 2025-08-14T21:30:21.3428400Z 2025-08-14T21:30:21.3428507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3428855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3429179Z return mod(*inputs) 2025-08-14T21:30:21.3429496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3429844Z x = self.forward_features(x) 2025-08-14T21:30:21.3430198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3430558Z x = self.blocks(x) 2025-08-14T21:30:21.3430956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3431300Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3431611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3431978Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3432360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3432734Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3432900Z 2025-08-14T21:30:21.3433004Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3433360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3433675Z return mod(*inputs) 2025-08-14T21:30:21.3433993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3434341Z x = self.forward_features(x) 2025-08-14T21:30:21.3434697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3435057Z x = self.blocks(x) 2025-08-14T21:30:21.3435393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3435739Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3436043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3436408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3436776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3437150Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3437308Z 2025-08-14T21:30:21.3437391Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3437604Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3437843Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3438200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3438535Z return mod(*inputs) 2025-08-14T21:30:21.3438856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3439200Z x = self.forward_features(x) 2025-08-14T21:30:21.3439554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3439918Z x = self.blocks(x) 2025-08-14T21:30:21.3440249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3440606Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3441785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3442182Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3442300Z 2025-08-14T21:30:21.3442418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3442782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3443118Z return mod(*inputs) 2025-08-14T21:30:21.3443449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3443809Z x = self.forward_features(x) 2025-08-14T21:30:21.3444174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3444547Z x = self.blocks(x) 2025-08-14T21:30:21.3444889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3445298Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3445441Z 2025-08-14T21:30:21.3445549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3445910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3446242Z return mod(*inputs) 2025-08-14T21:30:21.3446566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3446936Z x = self.forward_features(x) 2025-08-14T21:30:21.3447319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3447706Z x = self.blocks(x) 2025-08-14T21:30:21.3448037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3448395Z x = self.conv_pw(x) 2025-08-14T21:30:21.3448498Z 2025-08-14T21:30:21.3448619Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3448979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3449317Z return mod(*inputs) 2025-08-14T21:30:21.3449642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3449986Z x = self.forward_features(x) 2025-08-14T21:30:21.3450350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3450720Z x = self.blocks(x) 2025-08-14T21:30:21.3451063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3451412Z x = self.bn1(x) 2025-08-14T21:30:21.3451717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3452056Z x = F.batch_norm( 2025-08-14T21:30:21.3452161Z 2025-08-14T21:30:21.3452270Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3452638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3452968Z return mod(*inputs) 2025-08-14T21:30:21.3453290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3453633Z x = self.forward_features(x) 2025-08-14T21:30:21.3453996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3454358Z x = self.blocks(x) 2025-08-14T21:30:21.3454769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3455131Z x = self.bn1(x) 2025-08-14T21:30:21.3455432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3455760Z x = self.act(x) 2025-08-14T21:30:21.3455858Z 2025-08-14T21:30:21.3455988Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3456248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3456644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3457003Z return mod(*inputs) 2025-08-14T21:30:21.3457352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3457723Z x = self.forward_features(x) 2025-08-14T21:30:21.3458101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3458461Z x = self.blocks(x) 2025-08-14T21:30:21.3458806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3459168Z x = self.conv_dw(x) 2025-08-14T21:30:21.3459517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3459890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3460270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3460658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3460818Z 2025-08-14T21:30:21.3460898Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3461135Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3461496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3461811Z return mod(*inputs) 2025-08-14T21:30:21.3462133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3462488Z x = self.forward_features(x) 2025-08-14T21:30:21.3462848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3463203Z x = self.blocks(x) 2025-08-14T21:30:21.3463531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3463883Z x = self.conv_dw(x) 2025-08-14T21:30:21.3464188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3464561Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3464937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3465315Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3465474Z 2025-08-14T21:30:21.3465554Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3465793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3466158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3466484Z return mod(*inputs) 2025-08-14T21:30:21.3466799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3467140Z x = self.forward_features(x) 2025-08-14T21:30:21.3467510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3467849Z x = self.blocks(x) 2025-08-14T21:30:21.3468172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3468517Z x = self.conv_dw(x) 2025-08-14T21:30:21.3468827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3469192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3469614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3470000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3470161Z 2025-08-14T21:30:21.3470241Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3470495Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3470848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3471170Z return mod(*inputs) 2025-08-14T21:30:21.3471475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3471818Z x = self.forward_features(x) 2025-08-14T21:30:21.3472169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3472517Z x = self.blocks(x) 2025-08-14T21:30:21.3472887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3473230Z x = self.conv_dw(x) 2025-08-14T21:30:21.3473540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3473896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3474272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3474641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3474796Z 2025-08-14T21:30:21.3474882Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3475086Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3475288Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3475493Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3475711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3476062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3476377Z return mod(*inputs) 2025-08-14T21:30:21.3476676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3477009Z x = self.forward_features(x) 2025-08-14T21:30:21.3477355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3477701Z x = self.blocks(x) 2025-08-14T21:30:21.3478014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3478359Z x = self.conv_dw(x) 2025-08-14T21:30:21.3478659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3478981Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3479096Z 2025-08-14T21:30:21.3479201Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3479554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3479868Z return mod(*inputs) 2025-08-14T21:30:21.3480170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3480507Z x = self.forward_features(x) 2025-08-14T21:30:21.3480855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3481200Z x = self.blocks(x) 2025-08-14T21:30:21.3481526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:30:21.3481868Z x = self.bn2(x) 2025-08-14T21:30:21.3482159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3482480Z x = F.batch_norm( 2025-08-14T21:30:21.3482585Z 2025-08-14T21:30:21.3482719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3483072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3483382Z return mod(*inputs) 2025-08-14T21:30:21.3483690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3484028Z x = self.forward_features(x) 2025-08-14T21:30:21.3484375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3484717Z x = self.blocks(x) 2025-08-14T21:30:21.3485038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:30:21.3485381Z x = self.bn2(x) 2025-08-14T21:30:21.3485664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3486035Z x = self.act(x) 2025-08-14T21:30:21.3486134Z 2025-08-14T21:30:21.3486237Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3486603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3486912Z return mod(*inputs) 2025-08-14T21:30:21.3487224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3487557Z x = self.forward_features(x) 2025-08-14T21:30:21.3487898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3488253Z x = self.blocks(x) 2025-08-14T21:30:21.3488575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3488917Z x = self.se(x) 2025-08-14T21:30:21.3489227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3489582Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3489703Z 2025-08-14T21:30:21.3489810Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3490151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3490472Z return mod(*inputs) 2025-08-14T21:30:21.3490789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3491131Z x = self.forward_features(x) 2025-08-14T21:30:21.3491475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3491832Z x = self.blocks(x) 2025-08-14T21:30:21.3492161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3492500Z x = self.se(x) 2025-08-14T21:30:21.3492826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3493181Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3493291Z 2025-08-14T21:30:21.3493401Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3493754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3494079Z return mod(*inputs) 2025-08-14T21:30:21.3494405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3494906Z x = self.forward_features(x) 2025-08-14T21:30:21.3495293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3495675Z x = self.blocks(x) 2025-08-14T21:30:21.3496028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3496389Z x = self.se(x) 2025-08-14T21:30:21.3496760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3497124Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3497248Z 2025-08-14T21:30:21.3497360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3497707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3498030Z return mod(*inputs) 2025-08-14T21:30:21.3498347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3498684Z x = self.forward_features(x) 2025-08-14T21:30:21.3499046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3499407Z x = self.blocks(x) 2025-08-14T21:30:21.3499731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3500121Z x = self.se(x) 2025-08-14T21:30:21.3500568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3500941Z return x * self.gate(x_se) 2025-08-14T21:30:21.3501059Z 2025-08-14T21:30:21.3501162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3501522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3501848Z return mod(*inputs) 2025-08-14T21:30:21.3502164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3502501Z x = self.forward_features(x) 2025-08-14T21:30:21.3502860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3503220Z x = self.blocks(x) 2025-08-14T21:30:21.3503556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3503908Z x = self.se(x) 2025-08-14T21:30:21.3504230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3504610Z return x * self.gate(x_se) 2025-08-14T21:30:21.3504780Z 2025-08-14T21:30:21.3504884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3505225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3505531Z return mod(*inputs) 2025-08-14T21:30:21.3505821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3506144Z x = self.forward_features(x) 2025-08-14T21:30:21.3506480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3506860Z x = self.blocks(x) 2025-08-14T21:30:21.3507215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3507554Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3507656Z 2025-08-14T21:30:21.3507761Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3508094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3508400Z return mod(*inputs) 2025-08-14T21:30:21.3508702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3509030Z x = self.forward_features(x) 2025-08-14T21:30:21.3509357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3509697Z x = self.blocks(x) 2025-08-14T21:30:21.3510010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:30:21.3510418Z x = self.bn3(x) 2025-08-14T21:30:21.3510707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3511017Z x = F.batch_norm( 2025-08-14T21:30:21.3511110Z 2025-08-14T21:30:21.3511214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3511546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3511851Z return mod(*inputs) 2025-08-14T21:30:21.3512153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3512469Z x = self.forward_features(x) 2025-08-14T21:30:21.3512807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3513147Z x = self.blocks(x) 2025-08-14T21:30:21.3513511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3513835Z x = self.conv_pw(x) 2025-08-14T21:30:21.3514127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3514482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3514837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3515201Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3515356Z 2025-08-14T21:30:21.3515456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3515794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3516095Z return mod(*inputs) 2025-08-14T21:30:21.3516398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3516729Z x = self.forward_features(x) 2025-08-14T21:30:21.3517063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3517401Z x = self.blocks(x) 2025-08-14T21:30:21.3517713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3518042Z x = self.conv_pw(x) 2025-08-14T21:30:21.3518328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3518677Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3519031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3519390Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3519545Z 2025-08-14T21:30:21.3519619Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3519826Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3520052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3520380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3520686Z return mod(*inputs) 2025-08-14T21:30:21.3520990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3521310Z x = self.forward_features(x) 2025-08-14T21:30:21.3521640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3521977Z x = self.blocks(x) 2025-08-14T21:30:21.3522287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3522616Z x = self.conv_pw(x) 2025-08-14T21:30:21.3522964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3523284Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3523390Z 2025-08-14T21:30:21.3523495Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3523826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3524132Z return mod(*inputs) 2025-08-14T21:30:21.3524431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3524749Z x = self.forward_features(x) 2025-08-14T21:30:21.3525087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3525428Z x = self.blocks(x) 2025-08-14T21:30:21.3525741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3526103Z x = self.bn1(x) 2025-08-14T21:30:21.3526387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3526694Z x = F.batch_norm( 2025-08-14T21:30:21.3526787Z 2025-08-14T21:30:21.3526881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3527222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3527524Z return mod(*inputs) 2025-08-14T21:30:21.3527824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3528140Z x = self.forward_features(x) 2025-08-14T21:30:21.3528476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3528813Z x = self.blocks(x) 2025-08-14T21:30:21.3529119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3529452Z x = self.bn1(x) 2025-08-14T21:30:21.3529738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3530043Z x = self.act(x) 2025-08-14T21:30:21.3530130Z 2025-08-14T21:30:21.3530206Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3530434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3530777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3531076Z return mod(*inputs) 2025-08-14T21:30:21.3531379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3531704Z x = self.forward_features(x) 2025-08-14T21:30:21.3532035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3532376Z x = self.blocks(x) 2025-08-14T21:30:21.3532692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3533025Z x = self.conv_dw(x) 2025-08-14T21:30:21.3533311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3533666Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3534026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3534395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3534656Z 2025-08-14T21:30:21.3534751Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3535009Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3535391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3535727Z return mod(*inputs) 2025-08-14T21:30:21.3536126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3536461Z x = self.forward_features(x) 2025-08-14T21:30:21.3536829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3537213Z x = self.blocks(x) 2025-08-14T21:30:21.3537563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3537936Z x = self.conv_dw(x) 2025-08-14T21:30:21.3538273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3538677Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3539085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3539497Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3539703Z 2025-08-14T21:30:21.3539791Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3540022Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3540272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3540646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3540989Z return mod(*inputs) 2025-08-14T21:30:21.3541328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3541704Z x = self.forward_features(x) 2025-08-14T21:30:21.3542087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3542472Z x = self.blocks(x) 2025-08-14T21:30:21.3542824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3543194Z x = self.conv_dw(x) 2025-08-14T21:30:21.3543514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3543840Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3543942Z 2025-08-14T21:30:21.3544023Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3544238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3544580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3544901Z return mod(*inputs) 2025-08-14T21:30:21.3545187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3545505Z x = self.forward_features(x) 2025-08-14T21:30:21.3545838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3546177Z x = self.blocks(x) 2025-08-14T21:30:21.3546484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3546809Z x = self.se(x) 2025-08-14T21:30:21.3547108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3547436Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3547564Z 2025-08-14T21:30:21.3547658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3547989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3548291Z return mod(*inputs) 2025-08-14T21:30:21.3548577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3548896Z x = self.forward_features(x) 2025-08-14T21:30:21.3549224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3549559Z x = self.blocks(x) 2025-08-14T21:30:21.3549906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3550231Z x = self.se(x) 2025-08-14T21:30:21.3550527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3550853Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3550972Z 2025-08-14T21:30:21.3551066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3551399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3551691Z return mod(*inputs) 2025-08-14T21:30:21.3551987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3552309Z x = self.forward_features(x) 2025-08-14T21:30:21.3552643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3553002Z x = self.blocks(x) 2025-08-14T21:30:21.3553306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3553624Z x = self.se(x) 2025-08-14T21:30:21.3553911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3554237Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3554348Z 2025-08-14T21:30:21.3554443Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3554775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3555063Z return mod(*inputs) 2025-08-14T21:30:21.3555360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3555678Z x = self.forward_features(x) 2025-08-14T21:30:21.3556004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3556332Z x = self.blocks(x) 2025-08-14T21:30:21.3556634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3556949Z x = self.se(x) 2025-08-14T21:30:21.3557234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3557569Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3557681Z 2025-08-14T21:30:21.3557783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3558112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3558398Z return mod(*inputs) 2025-08-14T21:30:21.3558691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3559009Z x = self.forward_features(x) 2025-08-14T21:30:21.3559332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3559667Z x = self.blocks(x) 2025-08-14T21:30:21.3559974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3560304Z x = self.se(x) 2025-08-14T21:30:21.3560599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3560930Z return x * self.gate(x_se) 2025-08-14T21:30:21.3561051Z 2025-08-14T21:30:21.3561153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3561477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3561782Z return mod(*inputs) 2025-08-14T21:30:21.3562124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3562452Z x = self.forward_features(x) 2025-08-14T21:30:21.3562781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3563123Z x = self.blocks(x) 2025-08-14T21:30:21.3563438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3563758Z x = self.se(x) 2025-08-14T21:30:21.3564070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3564406Z return x * self.gate(x_se) 2025-08-14T21:30:21.3564514Z 2025-08-14T21:30:21.3564597Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3564819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3565156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3565501Z return mod(*inputs) 2025-08-14T21:30:21.3565795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3566118Z x = self.forward_features(x) 2025-08-14T21:30:21.3566476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3566815Z x = self.blocks(x) 2025-08-14T21:30:21.3567118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3567452Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3567753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3568106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3568471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3568841Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3568991Z 2025-08-14T21:30:21.3569073Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3569296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3569638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3569944Z return mod(*inputs) 2025-08-14T21:30:21.3570236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3570564Z x = self.forward_features(x) 2025-08-14T21:30:21.3570903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3571281Z x = self.blocks(x) 2025-08-14T21:30:21.3571588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3571926Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3572228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3572572Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3572930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3573288Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3573438Z 2025-08-14T21:30:21.3573520Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3573717Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3573942Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3574280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3574653Z return mod(*inputs) 2025-08-14T21:30:21.3574982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3575368Z x = self.forward_features(x) 2025-08-14T21:30:21.3575724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3576081Z x = self.blocks(x) 2025-08-14T21:30:21.3576397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3576740Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3577040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3577368Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3577481Z 2025-08-14T21:30:21.3577579Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3577923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3578231Z return mod(*inputs) 2025-08-14T21:30:21.3578564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3578876Z x = self.forward_features(x) 2025-08-14T21:30:21.3579196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3579528Z x = self.blocks(x) 2025-08-14T21:30:21.3579830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3580162Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3580278Z 2025-08-14T21:30:21.3580372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3580698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3580994Z return mod(*inputs) 2025-08-14T21:30:21.3581276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3581596Z x = self.forward_features(x) 2025-08-14T21:30:21.3581924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3582254Z x = self.blocks(x) 2025-08-14T21:30:21.3582550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3582872Z x = self.conv_pw(x) 2025-08-14T21:30:21.3583160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3583493Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3583844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3584195Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3584341Z 2025-08-14T21:30:21.3584446Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3584770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3585067Z return mod(*inputs) 2025-08-14T21:30:21.3585361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3585679Z x = self.forward_features(x) 2025-08-14T21:30:21.3585998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3586333Z x = self.blocks(x) 2025-08-14T21:30:21.3586639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3586954Z x = self.conv_pw(x) 2025-08-14T21:30:21.3587242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3587582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3587986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3588330Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3588484Z 2025-08-14T21:30:21.3588559Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3588761Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3588972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3589303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3589605Z return mod(*inputs) 2025-08-14T21:30:21.3589903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3590217Z x = self.forward_features(x) 2025-08-14T21:30:21.3590548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3590940Z x = self.blocks(x) 2025-08-14T21:30:21.3591247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3591581Z x = self.conv_pw(x) 2025-08-14T21:30:21.3591874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3592193Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3592301Z 2025-08-14T21:30:21.3592398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3592736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3593039Z return mod(*inputs) 2025-08-14T21:30:21.3593328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3593648Z x = self.forward_features(x) 2025-08-14T21:30:21.3593984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3594332Z x = self.blocks(x) 2025-08-14T21:30:21.3594644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3594979Z x = self.bn1(x) 2025-08-14T21:30:21.3595267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3595572Z x = F.batch_norm( 2025-08-14T21:30:21.3595673Z 2025-08-14T21:30:21.3595772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3596118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3596426Z return mod(*inputs) 2025-08-14T21:30:21.3596725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3597056Z x = self.forward_features(x) 2025-08-14T21:30:21.3597405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3597746Z x = self.blocks(x) 2025-08-14T21:30:21.3598064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3598400Z x = self.bn1(x) 2025-08-14T21:30:21.3598691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3598996Z x = self.act(x) 2025-08-14T21:30:21.3599098Z 2025-08-14T21:30:21.3599178Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3599409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3599752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3600066Z return mod(*inputs) 2025-08-14T21:30:21.3600499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3600922Z x = self.forward_features(x) 2025-08-14T21:30:21.3601260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3601603Z x = self.blocks(x) 2025-08-14T21:30:21.3601919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3602254Z x = self.conv_dw(x) 2025-08-14T21:30:21.3602556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3602912Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3603277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3603635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3603796Z 2025-08-14T21:30:21.3603925Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3604153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3604489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3604796Z return mod(*inputs) 2025-08-14T21:30:21.3605098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3605426Z x = self.forward_features(x) 2025-08-14T21:30:21.3605757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3606098Z x = self.blocks(x) 2025-08-14T21:30:21.3606412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3606739Z x = self.conv_dw(x) 2025-08-14T21:30:21.3607035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3607392Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3607750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3608100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3608257Z 2025-08-14T21:30:21.3608332Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3608536Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3608752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3609094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3609396Z return mod(*inputs) 2025-08-14T21:30:21.3609693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3610011Z x = self.forward_features(x) 2025-08-14T21:30:21.3610354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3610696Z x = self.blocks(x) 2025-08-14T21:30:21.3610999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3611329Z x = self.conv_dw(x) 2025-08-14T21:30:21.3611625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3611942Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3612047Z 2025-08-14T21:30:21.3612122Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3612348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3612690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3612988Z return mod(*inputs) 2025-08-14T21:30:21.3613290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3613669Z x = self.forward_features(x) 2025-08-14T21:30:21.3614015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3614350Z x = self.blocks(x) 2025-08-14T21:30:21.3614715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3615053Z x = self.se(x) 2025-08-14T21:30:21.3615350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3615695Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3615827Z 2025-08-14T21:30:21.3615925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3616262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3616562Z return mod(*inputs) 2025-08-14T21:30:21.3616909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3617242Z x = self.forward_features(x) 2025-08-14T21:30:21.3617577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3617921Z x = self.blocks(x) 2025-08-14T21:30:21.3618237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3618563Z x = self.se(x) 2025-08-14T21:30:21.3618858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3619197Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3619312Z 2025-08-14T21:30:21.3619417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3619760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3620064Z return mod(*inputs) 2025-08-14T21:30:21.3620369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3620695Z x = self.forward_features(x) 2025-08-14T21:30:21.3621029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3621368Z x = self.blocks(x) 2025-08-14T21:30:21.3621680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3622008Z x = self.se(x) 2025-08-14T21:30:21.3622306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3622640Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3622744Z 2025-08-14T21:30:21.3622847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3623182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3623483Z return mod(*inputs) 2025-08-14T21:30:21.3623777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3624094Z x = self.forward_features(x) 2025-08-14T21:30:21.3624423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3624751Z x = self.blocks(x) 2025-08-14T21:30:21.3625054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3625365Z x = self.se(x) 2025-08-14T21:30:21.3625658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3625990Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3626102Z 2025-08-14T21:30:21.3626204Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3626575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3626882Z return mod(*inputs) 2025-08-14T21:30:21.3627178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3627491Z x = self.forward_features(x) 2025-08-14T21:30:21.3627824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3628157Z x = self.blocks(x) 2025-08-14T21:30:21.3628461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3628778Z x = self.se(x) 2025-08-14T21:30:21.3629074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3629404Z return x * self.gate(x_se) 2025-08-14T21:30:21.3629513Z 2025-08-14T21:30:21.3629658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3629991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3630290Z return mod(*inputs) 2025-08-14T21:30:21.3630581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3630892Z x = self.forward_features(x) 2025-08-14T21:30:21.3631219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3631551Z x = self.blocks(x) 2025-08-14T21:30:21.3631847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3632166Z x = self.se(x) 2025-08-14T21:30:21.3632459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3632791Z return x * self.gate(x_se) 2025-08-14T21:30:21.3632897Z 2025-08-14T21:30:21.3632975Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3633197Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3633525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3633817Z return mod(*inputs) 2025-08-14T21:30:21.3634112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3634427Z x = self.forward_features(x) 2025-08-14T21:30:21.3634755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3635078Z x = self.blocks(x) 2025-08-14T21:30:21.3635379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3635706Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3636000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3636345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3636697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3637047Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3637192Z 2025-08-14T21:30:21.3637267Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3637487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3637819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3638120Z return mod(*inputs) 2025-08-14T21:30:21.3638429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3638748Z x = self.forward_features(x) 2025-08-14T21:30:21.3639131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3639465Z x = self.blocks(x) 2025-08-14T21:30:21.3639777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3640108Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3640400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3640752Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3641119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3641474Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3641625Z 2025-08-14T21:30:21.3641702Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3641907Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3642173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3642512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3642816Z return mod(*inputs) 2025-08-14T21:30:21.3643115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3643442Z x = self.forward_features(x) 2025-08-14T21:30:21.3643776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3644119Z x = self.blocks(x) 2025-08-14T21:30:21.3644433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3644759Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3645061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3645378Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3645487Z 2025-08-14T21:30:21.3645594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3645929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3646235Z return mod(*inputs) 2025-08-14T21:30:21.3646536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3646860Z x = self.forward_features(x) 2025-08-14T21:30:21.3647190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3647528Z x = self.blocks(x) 2025-08-14T21:30:21.3647837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3648169Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3648294Z 2025-08-14T21:30:21.3648389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3648735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3649040Z return mod(*inputs) 2025-08-14T21:30:21.3649330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3649651Z x = self.forward_features(x) 2025-08-14T21:30:21.3649986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3650317Z x = self.blocks(x) 2025-08-14T21:30:21.3650631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3650965Z x = self.conv_pw(x) 2025-08-14T21:30:21.3651257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3651602Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3652011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3652380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3652530Z 2025-08-14T21:30:21.3652628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3652968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3653278Z return mod(*inputs) 2025-08-14T21:30:21.3653569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3653882Z x = self.forward_features(x) 2025-08-14T21:30:21.3654214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3654625Z x = self.blocks(x) 2025-08-14T21:30:21.3654950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3655342Z x = self.conv_pw(x) 2025-08-14T21:30:21.3655645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3656017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3656374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3656736Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3656887Z 2025-08-14T21:30:21.3656974Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3657174Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3657405Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3657740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3658041Z return mod(*inputs) 2025-08-14T21:30:21.3658337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3658663Z x = self.forward_features(x) 2025-08-14T21:30:21.3659004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3659338Z x = self.blocks(x) 2025-08-14T21:30:21.3659662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3659984Z x = self.conv_pw(x) 2025-08-14T21:30:21.3660271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3660578Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3660695Z 2025-08-14T21:30:21.3660790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3661120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3661415Z return mod(*inputs) 2025-08-14T21:30:21.3661711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3662030Z x = self.forward_features(x) 2025-08-14T21:30:21.3662361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3662686Z x = self.blocks(x) 2025-08-14T21:30:21.3662991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3663314Z x = self.bn1(x) 2025-08-14T21:30:21.3663500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3663566Z x = F.batch_norm( 2025-08-14T21:30:21.3663570Z 2025-08-14T21:30:21.3663663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3663844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3663963Z return mod(*inputs) 2025-08-14T21:30:21.3664161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3664227Z x = self.forward_features(x) 2025-08-14T21:30:21.3664447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3664506Z x = self.blocks(x) 2025-08-14T21:30:21.3664718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3664775Z x = self.bn1(x) 2025-08-14T21:30:21.3664958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3665023Z x = self.act(x) 2025-08-14T21:30:21.3665026Z 2025-08-14T21:30:21.3665100Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3665193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3665414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3665475Z return mod(*inputs) 2025-08-14T21:30:21.3665675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3665739Z x = self.forward_features(x) 2025-08-14T21:30:21.3665951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3666017Z x = self.blocks(x) 2025-08-14T21:30:21.3666223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3666283Z x = self.conv_dw(x) 2025-08-14T21:30:21.3666477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3666570Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3666778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3666873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3666876Z 2025-08-14T21:30:21.3666948Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3667045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3667225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3667290Z return mod(*inputs) 2025-08-14T21:30:21.3667483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3667546Z x = self.forward_features(x) 2025-08-14T21:30:21.3667763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3667822Z x = self.blocks(x) 2025-08-14T21:30:21.3668034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3668100Z x = self.conv_dw(x) 2025-08-14T21:30:21.3668288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3668388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3668585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3668677Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3668680Z 2025-08-14T21:30:21.3668759Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3668830Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3668923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3669112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3669176Z return mod(*inputs) 2025-08-14T21:30:21.3669413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3669480Z x = self.forward_features(x) 2025-08-14T21:30:21.3669693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3669758Z x = self.blocks(x) 2025-08-14T21:30:21.3669963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3670022Z x = self.conv_dw(x) 2025-08-14T21:30:21.3670218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3670281Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3670285Z 2025-08-14T21:30:21.3670365Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3670458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3670683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3670750Z return mod(*inputs) 2025-08-14T21:30:21.3670942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3671007Z x = self.forward_features(x) 2025-08-14T21:30:21.3671228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3671287Z x = self.blocks(x) 2025-08-14T21:30:21.3671499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3671556Z x = self.se(x) 2025-08-14T21:30:21.3671763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3671840Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3671845Z 2025-08-14T21:30:21.3671941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3672121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3672189Z return mod(*inputs) 2025-08-14T21:30:21.3672384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3672454Z x = self.forward_features(x) 2025-08-14T21:30:21.3672666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3672726Z x = self.blocks(x) 2025-08-14T21:30:21.3672942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3672999Z x = self.se(x) 2025-08-14T21:30:21.3673204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3673284Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3673288Z 2025-08-14T21:30:21.3673382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3673567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3673627Z return mod(*inputs) 2025-08-14T21:30:21.3673818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3673890Z x = self.forward_features(x) 2025-08-14T21:30:21.3674102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3674166Z x = self.blocks(x) 2025-08-14T21:30:21.3674372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3674427Z x = self.se(x) 2025-08-14T21:30:21.3674638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3674748Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3674753Z 2025-08-14T21:30:21.3674846Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3675038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3675099Z return mod(*inputs) 2025-08-14T21:30:21.3675300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3675364Z x = self.forward_features(x) 2025-08-14T21:30:21.3675580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3675647Z x = self.blocks(x) 2025-08-14T21:30:21.3675854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3675910Z x = self.se(x) 2025-08-14T21:30:21.3676163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3676230Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3676234Z 2025-08-14T21:30:21.3676333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3676516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3676576Z return mod(*inputs) 2025-08-14T21:30:21.3676778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3676844Z x = self.forward_features(x) 2025-08-14T21:30:21.3677059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3677124Z x = self.blocks(x) 2025-08-14T21:30:21.3677332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3677396Z x = self.se(x) 2025-08-14T21:30:21.3677604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3677669Z return x * self.gate(x_se) 2025-08-14T21:30:21.3677672Z 2025-08-14T21:30:21.3677773Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3677954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3678020Z return mod(*inputs) 2025-08-14T21:30:21.3678215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3678279Z x = self.forward_features(x) 2025-08-14T21:30:21.3678498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3678556Z x = self.blocks(x) 2025-08-14T21:30:21.3678763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3678831Z x = self.se(x) 2025-08-14T21:30:21.3679037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3679108Z return x * self.gate(x_se) 2025-08-14T21:30:21.3679112Z 2025-08-14T21:30:21.3679185Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3679278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3679463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3679521Z return mod(*inputs) 2025-08-14T21:30:21.3679717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3679789Z x = self.forward_features(x) 2025-08-14T21:30:21.3680003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3680070Z x = self.blocks(x) 2025-08-14T21:30:21.3680317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3680381Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3680576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3680675Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3680876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3680980Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3680983Z 2025-08-14T21:30:21.3681056Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3681155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3681335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3681431Z return mod(*inputs) 2025-08-14T21:30:21.3681634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3681698Z x = self.forward_features(x) 2025-08-14T21:30:21.3681912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3681979Z x = self.blocks(x) 2025-08-14T21:30:21.3682187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3682257Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3682446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3682541Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3682748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3682846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3682849Z 2025-08-14T21:30:21.3682929Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3683000Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3683092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3683279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3683339Z return mod(*inputs) 2025-08-14T21:30:21.3683534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3683607Z x = self.forward_features(x) 2025-08-14T21:30:21.3683822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3683889Z x = self.blocks(x) 2025-08-14T21:30:21.3684096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3684162Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3684358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3684422Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3684425Z 2025-08-14T21:30:21.3684517Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3684705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3684766Z return mod(*inputs) 2025-08-14T21:30:21.3684968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3685031Z x = self.forward_features(x) 2025-08-14T21:30:21.3685246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3685310Z x = self.blocks(x) 2025-08-14T21:30:21.3685559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3685633Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3685637Z 2025-08-14T21:30:21.3685737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3685918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3685987Z return mod(*inputs) 2025-08-14T21:30:21.3686181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3686246Z x = self.forward_features(x) 2025-08-14T21:30:21.3686470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3686529Z x = self.blocks(x) 2025-08-14T21:30:21.3686735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3686837Z x = self.conv_pw(x) 2025-08-14T21:30:21.3686843Z 2025-08-14T21:30:21.3686935Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3687122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3687182Z return mod(*inputs) 2025-08-14T21:30:21.3687378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3687452Z x = self.forward_features(x) 2025-08-14T21:30:21.3687671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3687736Z x = self.blocks(x) 2025-08-14T21:30:21.3687945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3688004Z x = self.bn1(x) 2025-08-14T21:30:21.3688195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3688259Z x = F.batch_norm( 2025-08-14T21:30:21.3688262Z 2025-08-14T21:30:21.3688354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3688543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3688602Z return mod(*inputs) 2025-08-14T21:30:21.3688803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3688868Z x = self.forward_features(x) 2025-08-14T21:30:21.3689084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3689149Z x = self.blocks(x) 2025-08-14T21:30:21.3689357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3689415Z x = self.bn1(x) 2025-08-14T21:30:21.3689628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3689686Z x = self.act(x) 2025-08-14T21:30:21.3689691Z 2025-08-14T21:30:21.3689772Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3689865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3690051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3690131Z return mod(*inputs) 2025-08-14T21:30:21.3690326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3690390Z x = self.forward_features(x) 2025-08-14T21:30:21.3690613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3690672Z x = self.blocks(x) 2025-08-14T21:30:21.3690889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3691002Z x = self.conv_dw(x) 2025-08-14T21:30:21.3691197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3691305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3691507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3691607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3691616Z 2025-08-14T21:30:21.3691692Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3691784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3691976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3692037Z return mod(*inputs) 2025-08-14T21:30:21.3692237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3692350Z x = self.forward_features(x) 2025-08-14T21:30:21.3692573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3692641Z x = self.blocks(x) 2025-08-14T21:30:21.3692857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3692918Z x = self.conv_dw(x) 2025-08-14T21:30:21.3693122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3693218Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3693421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3693526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3693529Z 2025-08-14T21:30:21.3693605Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3693711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3693897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3693958Z return mod(*inputs) 2025-08-14T21:30:21.3694166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3694232Z x = self.forward_features(x) 2025-08-14T21:30:21.3694460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3694529Z x = self.blocks(x) 2025-08-14T21:30:21.3694819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3694897Z x = self.conv_dw(x) 2025-08-14T21:30:21.3695097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3695203Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3695420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3695517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3695520Z 2025-08-14T21:30:21.3695597Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3695680Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3695757Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3695864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3696058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3696123Z return mod(*inputs) 2025-08-14T21:30:21.3696336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3696408Z x = self.forward_features(x) 2025-08-14T21:30:21.3696690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3696763Z x = self.blocks(x) 2025-08-14T21:30:21.3696975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3697042Z x = self.conv_dw(x) 2025-08-14T21:30:21.3697237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3697302Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3697306Z 2025-08-14T21:30:21.3697386Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3697481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3697667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3697736Z return mod(*inputs) 2025-08-14T21:30:21.3697936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3698046Z x = self.forward_features(x) 2025-08-14T21:30:21.3698268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3698328Z x = self.blocks(x) 2025-08-14T21:30:21.3698550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3698608Z x = self.se(x) 2025-08-14T21:30:21.3698822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3698902Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3698905Z 2025-08-14T21:30:21.3699001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3699194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3699257Z return mod(*inputs) 2025-08-14T21:30:21.3699462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3699538Z x = self.forward_features(x) 2025-08-14T21:30:21.3699760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3699827Z x = self.blocks(x) 2025-08-14T21:30:21.3700040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3700096Z x = self.se(x) 2025-08-14T21:30:21.3700314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3700535Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3700542Z 2025-08-14T21:30:21.3700641Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3700837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3700907Z return mod(*inputs) 2025-08-14T21:30:21.3701116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3701186Z x = self.forward_features(x) 2025-08-14T21:30:21.3701408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3701475Z x = self.blocks(x) 2025-08-14T21:30:21.3701687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3701743Z x = self.se(x) 2025-08-14T21:30:21.3701964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3702031Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3702034Z 2025-08-14T21:30:21.3702136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3702398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3702462Z return mod(*inputs) 2025-08-14T21:30:21.3702668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3702735Z x = self.forward_features(x) 2025-08-14T21:30:21.3702958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3703025Z x = self.blocks(x) 2025-08-14T21:30:21.3703235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3703297Z x = self.se(x) 2025-08-14T21:30:21.3703512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3703582Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3703585Z 2025-08-14T21:30:21.3703739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3703931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3704001Z return mod(*inputs) 2025-08-14T21:30:21.3704651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3704730Z x = self.forward_features(x) 2025-08-14T21:30:21.3704950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3705009Z x = self.blocks(x) 2025-08-14T21:30:21.3705215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3705278Z x = self.se(x) 2025-08-14T21:30:21.3705483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3705558Z return x * self.gate(x_se) 2025-08-14T21:30:21.3705561Z 2025-08-14T21:30:21.3705656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3705838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3705906Z return mod(*inputs) 2025-08-14T21:30:21.3706100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3706163Z x = self.forward_features(x) 2025-08-14T21:30:21.3706382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3706441Z x = self.blocks(x) 2025-08-14T21:30:21.3706658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3706713Z x = self.se(x) 2025-08-14T21:30:21.3706917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3706997Z return x * self.gate(x_se) 2025-08-14T21:30:21.3707000Z 2025-08-14T21:30:21.3707091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3707278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3707339Z return mod(*inputs) 2025-08-14T21:30:21.3707532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3707604Z x = self.forward_features(x) 2025-08-14T21:30:21.3707816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3707875Z x = self.blocks(x) 2025-08-14T21:30:21.3708090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3708152Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3708157Z 2025-08-14T21:30:21.3708257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3708480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3708543Z return mod(*inputs) 2025-08-14T21:30:21.3708744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3708809Z x = self.forward_features(x) 2025-08-14T21:30:21.3709022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3709089Z x = self.blocks(x) 2025-08-14T21:30:21.3709296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:30:21.3709361Z x = self.bn3(x) 2025-08-14T21:30:21.3709544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3709633Z x = F.batch_norm( 2025-08-14T21:30:21.3709637Z 2025-08-14T21:30:21.3709739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3709928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3709988Z return mod(*inputs) 2025-08-14T21:30:21.3710188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3710252Z x = self.forward_features(x) 2025-08-14T21:30:21.3710473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3710532Z x = self.blocks(x) 2025-08-14T21:30:21.3710738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3710805Z x = self.conv_pw(x) 2025-08-14T21:30:21.3710998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3711100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3711304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3711401Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3711405Z 2025-08-14T21:30:21.3711502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3711682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3711742Z return mod(*inputs) 2025-08-14T21:30:21.3711943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3712006Z x = self.forward_features(x) 2025-08-14T21:30:21.3712226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3712286Z x = self.blocks(x) 2025-08-14T21:30:21.3712494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3712561Z x = self.conv_pw(x) 2025-08-14T21:30:21.3712748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3712845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3713049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3713145Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3713148Z 2025-08-14T21:30:21.3713230Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3713302Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3713398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3713584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3713696Z return mod(*inputs) 2025-08-14T21:30:21.3713889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3713961Z x = self.forward_features(x) 2025-08-14T21:30:21.3714173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3714239Z x = self.blocks(x) 2025-08-14T21:30:21.3714448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3714508Z x = self.conv_pw(x) 2025-08-14T21:30:21.3714708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3714772Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3714775Z 2025-08-14T21:30:21.3714878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3715096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3715157Z return mod(*inputs) 2025-08-14T21:30:21.3715359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3715426Z x = self.forward_features(x) 2025-08-14T21:30:21.3715644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3715712Z x = self.blocks(x) 2025-08-14T21:30:21.3715923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3715986Z x = self.bn1(x) 2025-08-14T21:30:21.3716175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3716234Z x = F.batch_norm( 2025-08-14T21:30:21.3716241Z 2025-08-14T21:30:21.3716339Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3716527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3716589Z return mod(*inputs) 2025-08-14T21:30:21.3716793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3716859Z x = self.forward_features(x) 2025-08-14T21:30:21.3717084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3717142Z x = self.blocks(x) 2025-08-14T21:30:21.3717374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3717437Z x = self.bn1(x) 2025-08-14T21:30:21.3717619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3717674Z x = self.act(x) 2025-08-14T21:30:21.3717680Z 2025-08-14T21:30:21.3717760Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3717853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3718037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3718097Z return mod(*inputs) 2025-08-14T21:30:21.3718287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3718359Z x = self.forward_features(x) 2025-08-14T21:30:21.3718571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3718630Z x = self.blocks(x) 2025-08-14T21:30:21.3718842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3718900Z x = self.conv_dw(x) 2025-08-14T21:30:21.3719097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3719229Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3719428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3719532Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3719535Z 2025-08-14T21:30:21.3719608Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3719700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3719890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3719950Z return mod(*inputs) 2025-08-14T21:30:21.3720152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3720218Z x = self.forward_features(x) 2025-08-14T21:30:21.3720430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3720537Z x = self.blocks(x) 2025-08-14T21:30:21.3720744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3720803Z x = self.conv_dw(x) 2025-08-14T21:30:21.3720998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3721093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3721300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3721395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3721399Z 2025-08-14T21:30:21.3721471Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3721572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3721753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3721826Z return mod(*inputs) 2025-08-14T21:30:21.3722022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3722087Z x = self.forward_features(x) 2025-08-14T21:30:21.3722306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3722364Z x = self.blocks(x) 2025-08-14T21:30:21.3722571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3722637Z x = self.conv_dw(x) 2025-08-14T21:30:21.3722825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3722925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3723122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3723220Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3723223Z 2025-08-14T21:30:21.3723304Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3723397Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3723576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3723642Z return mod(*inputs) 2025-08-14T21:30:21.3723837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3723908Z x = self.forward_features(x) 2025-08-14T21:30:21.3724122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3724182Z x = self.blocks(x) 2025-08-14T21:30:21.3724399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3724492Z x = self.conv_dw(x) 2025-08-14T21:30:21.3724681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3724781Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3724978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3725077Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3725081Z 2025-08-14T21:30:21.3725152Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3725224Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3725302Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3725370Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3725463Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3725649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3725752Z return mod(*inputs) 2025-08-14T21:30:21.3725951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3726016Z x = self.forward_features(x) 2025-08-14T21:30:21.3726229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3726297Z x = self.blocks(x) 2025-08-14T21:30:21.3726503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3726569Z x = self.conv_dw(x) 2025-08-14T21:30:21.3726755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3726816Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3726819Z 2025-08-14T21:30:21.3726895Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3726990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3727174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3727240Z return mod(*inputs) 2025-08-14T21:30:21.3727434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3727505Z x = self.forward_features(x) 2025-08-14T21:30:21.3727722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3727780Z x = self.blocks(x) 2025-08-14T21:30:21.3727993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3728048Z x = self.se(x) 2025-08-14T21:30:21.3728252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3728327Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3728333Z 2025-08-14T21:30:21.3728428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3728612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3728672Z return mod(*inputs) 2025-08-14T21:30:21.3728866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3728937Z x = self.forward_features(x) 2025-08-14T21:30:21.3729151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3729208Z x = self.blocks(x) 2025-08-14T21:30:21.3729422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3729478Z x = self.se(x) 2025-08-14T21:30:21.3729689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3729802Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3729807Z 2025-08-14T21:30:21.3729900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3730085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3730146Z return mod(*inputs) 2025-08-14T21:30:21.3730337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3730407Z x = self.forward_features(x) 2025-08-14T21:30:21.3730619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3730684Z x = self.blocks(x) 2025-08-14T21:30:21.3730887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3730943Z x = self.se(x) 2025-08-14T21:30:21.3731156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3731266Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3731270Z 2025-08-14T21:30:21.3731370Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3731552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3731612Z return mod(*inputs) 2025-08-14T21:30:21.3731815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3731881Z x = self.forward_features(x) 2025-08-14T21:30:21.3732096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3732165Z x = self.blocks(x) 2025-08-14T21:30:21.3732372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3732437Z x = self.se(x) 2025-08-14T21:30:21.3732643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3732711Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3732714Z 2025-08-14T21:30:21.3732812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3732991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3733051Z return mod(*inputs) 2025-08-14T21:30:21.3733254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3733319Z x = self.forward_features(x) 2025-08-14T21:30:21.3733540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3733598Z x = self.blocks(x) 2025-08-14T21:30:21.3733803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3733873Z x = self.se(x) 2025-08-14T21:30:21.3734077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3734142Z return x * self.gate(x_se) 2025-08-14T21:30:21.3734145Z 2025-08-14T21:30:21.3734244Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3734429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3734497Z return mod(*inputs) 2025-08-14T21:30:21.3734766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3734838Z x = self.forward_features(x) 2025-08-14T21:30:21.3735068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3735128Z x = self.blocks(x) 2025-08-14T21:30:21.3735387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3735455Z x = self.se(x) 2025-08-14T21:30:21.3735715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3735789Z return x * self.gate(x_se) 2025-08-14T21:30:21.3735793Z 2025-08-14T21:30:21.3735867Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3735961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3736152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3736213Z return mod(*inputs) 2025-08-14T21:30:21.3736407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3736480Z x = self.forward_features(x) 2025-08-14T21:30:21.3736694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3736797Z x = self.blocks(x) 2025-08-14T21:30:21.3737005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3737067Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3737265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3737362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3737568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3737664Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3737667Z 2025-08-14T21:30:21.3737740Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3737840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3738020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3738085Z return mod(*inputs) 2025-08-14T21:30:21.3738293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3738359Z x = self.forward_features(x) 2025-08-14T21:30:21.3738585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3738644Z x = self.blocks(x) 2025-08-14T21:30:21.3738856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3738927Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3739122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3739217Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3739429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3739529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3739532Z 2025-08-14T21:30:21.3739613Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3739686Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3739782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3739976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3740037Z return mod(*inputs) 2025-08-14T21:30:21.3740235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3740308Z x = self.forward_features(x) 2025-08-14T21:30:21.3740528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3740593Z x = self.blocks(x) 2025-08-14T21:30:21.3740839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3740905Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3741107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3741170Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3741173Z 2025-08-14T21:30:21.3741272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3741455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3741517Z return mod(*inputs) 2025-08-14T21:30:21.3741723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3741788Z x = self.forward_features(x) 2025-08-14T21:30:21.3742006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3742108Z x = self.blocks(x) 2025-08-14T21:30:21.3742327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3742406Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3742409Z 2025-08-14T21:30:21.3742504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3742690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3742757Z return mod(*inputs) 2025-08-14T21:30:21.3742957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3743024Z x = self.forward_features(x) 2025-08-14T21:30:21.3743251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3743310Z x = self.blocks(x) 2025-08-14T21:30:21.3743530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3743596Z x = self.conv_pw(x) 2025-08-14T21:30:21.3743791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3743896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3744100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3744197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3744209Z 2025-08-14T21:30:21.3744305Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3744490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3744561Z return mod(*inputs) 2025-08-14T21:30:21.3744762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3744830Z x = self.forward_features(x) 2025-08-14T21:30:21.3745063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3745123Z x = self.blocks(x) 2025-08-14T21:30:21.3745343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3745406Z x = self.conv_pw(x) 2025-08-14T21:30:21.3745601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3745703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3745906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3746002Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3746005Z 2025-08-14T21:30:21.3746090Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3746165Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3746301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3746493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3746554Z return mod(*inputs) 2025-08-14T21:30:21.3746759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3746824Z x = self.forward_features(x) 2025-08-14T21:30:21.3747042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3747109Z x = self.blocks(x) 2025-08-14T21:30:21.3747320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3747388Z x = self.conv_pw(x) 2025-08-14T21:30:21.3747580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3747688Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3747694Z 2025-08-14T21:30:21.3747798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3747985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3748047Z return mod(*inputs) 2025-08-14T21:30:21.3748256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3748323Z x = self.forward_features(x) 2025-08-14T21:30:21.3748550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3748610Z x = self.blocks(x) 2025-08-14T21:30:21.3748824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3748891Z x = self.bn1(x) 2025-08-14T21:30:21.3749079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3749143Z x = F.batch_norm( 2025-08-14T21:30:21.3749154Z 2025-08-14T21:30:21.3749249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3749433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3749501Z return mod(*inputs) 2025-08-14T21:30:21.3749698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3749764Z x = self.forward_features(x) 2025-08-14T21:30:21.3749991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3750051Z x = self.blocks(x) 2025-08-14T21:30:21.3750266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3750332Z x = self.bn1(x) 2025-08-14T21:30:21.3750526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3750590Z x = self.act(x) 2025-08-14T21:30:21.3750594Z 2025-08-14T21:30:21.3750669Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3750762Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3750952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3751012Z return mod(*inputs) 2025-08-14T21:30:21.3751218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3751284Z x = self.forward_features(x) 2025-08-14T21:30:21.3751504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3751570Z x = self.blocks(x) 2025-08-14T21:30:21.3751780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3751886Z x = self.conv_dw(x) 2025-08-14T21:30:21.3752085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3752185Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3752391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3752488Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3752492Z 2025-08-14T21:30:21.3752566Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3752665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3752851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3752913Z return mod(*inputs) 2025-08-14T21:30:21.3753116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3753232Z x = self.forward_features(x) 2025-08-14T21:30:21.3753466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3753525Z x = self.blocks(x) 2025-08-14T21:30:21.3753741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3753809Z x = self.conv_dw(x) 2025-08-14T21:30:21.3754005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3754102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3754316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3754410Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3754416Z 2025-08-14T21:30:21.3754497Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3754594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3754783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3754851Z return mod(*inputs) 2025-08-14T21:30:21.3755057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3755123Z x = self.forward_features(x) 2025-08-14T21:30:21.3755364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3755422Z x = self.blocks(x) 2025-08-14T21:30:21.3755638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3755696Z x = self.conv_dw(x) 2025-08-14T21:30:21.3755887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3755993Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3756194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3756293Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3756296Z 2025-08-14T21:30:21.3756369Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3756462Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3756652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3756712Z return mod(*inputs) 2025-08-14T21:30:21.3756908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3756982Z x = self.forward_features(x) 2025-08-14T21:30:21.3757203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3757316Z x = self.blocks(x) 2025-08-14T21:30:21.3757524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3757583Z x = self.conv_dw(x) 2025-08-14T21:30:21.3757777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3757870Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3758067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3758165Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3758168Z 2025-08-14T21:30:21.3758241Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3758320Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3758390Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3758493Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3758595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3758785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3758845Z return mod(*inputs) 2025-08-14T21:30:21.3759046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3759109Z x = self.forward_features(x) 2025-08-14T21:30:21.3759329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3759387Z x = self.blocks(x) 2025-08-14T21:30:21.3759592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3759658Z x = self.conv_dw(x) 2025-08-14T21:30:21.3759849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3759918Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3759929Z 2025-08-14T21:30:21.3759999Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3760093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3760279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3760340Z return mod(*inputs) 2025-08-14T21:30:21.3760532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3760604Z x = self.forward_features(x) 2025-08-14T21:30:21.3760818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3760876Z x = self.blocks(x) 2025-08-14T21:30:21.3761089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3761148Z x = self.se(x) 2025-08-14T21:30:21.3761361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3761432Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3761435Z 2025-08-14T21:30:21.3761529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3761715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3761775Z return mod(*inputs) 2025-08-14T21:30:21.3761974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3762038Z x = self.forward_features(x) 2025-08-14T21:30:21.3762251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3762317Z x = self.blocks(x) 2025-08-14T21:30:21.3762522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3762615Z x = self.se(x) 2025-08-14T21:30:21.3762827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3762896Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3762899Z 2025-08-14T21:30:21.3762998Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3763176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3763236Z return mod(*inputs) 2025-08-14T21:30:21.3763436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3763498Z x = self.forward_features(x) 2025-08-14T21:30:21.3763712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3763777Z x = self.blocks(x) 2025-08-14T21:30:21.3764024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3764086Z x = self.se(x) 2025-08-14T21:30:21.3764289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3764354Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3764357Z 2025-08-14T21:30:21.3764457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3764632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3764692Z return mod(*inputs) 2025-08-14T21:30:21.3784654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3784883Z x = self.forward_features(x) 2025-08-14T21:30:21.3785182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3785276Z x = self.blocks(x) 2025-08-14T21:30:21.3785523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3785585Z x = self.se(x) 2025-08-14T21:30:21.3785806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3785889Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3785896Z 2025-08-14T21:30:21.3786008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3786220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3786295Z return mod(*inputs) 2025-08-14T21:30:21.3786510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3786592Z x = self.forward_features(x) 2025-08-14T21:30:21.3786818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3786885Z x = self.blocks(x) 2025-08-14T21:30:21.3787111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3787171Z x = self.se(x) 2025-08-14T21:30:21.3787391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3787459Z return x * self.gate(x_se) 2025-08-14T21:30:21.3787463Z 2025-08-14T21:30:21.3787568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3787769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3787832Z return mod(*inputs) 2025-08-14T21:30:21.3788044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3788113Z x = self.forward_features(x) 2025-08-14T21:30:21.3788482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3788557Z x = self.blocks(x) 2025-08-14T21:30:21.3788775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3788834Z x = self.se(x) 2025-08-14T21:30:21.3789055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3789125Z return x * self.gate(x_se) 2025-08-14T21:30:21.3789129Z 2025-08-14T21:30:21.3789221Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3789323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3789519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3789592Z return mod(*inputs) 2025-08-14T21:30:21.3789798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3789933Z x = self.forward_features(x) 2025-08-14T21:30:21.3790162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3790223Z x = self.blocks(x) 2025-08-14T21:30:21.3790444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3790512Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3790719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3790833Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3791036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3791135Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3791141Z 2025-08-14T21:30:21.3791227Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3791328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3791518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3791577Z return mod(*inputs) 2025-08-14T21:30:21.3791773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3791847Z x = self.forward_features(x) 2025-08-14T21:30:21.3792063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3792123Z x = self.blocks(x) 2025-08-14T21:30:21.3792333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3792395Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3792590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3792689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3792896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3792988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3792992Z 2025-08-14T21:30:21.3793065Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3793138Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3793233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3793422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3793482Z return mod(*inputs) 2025-08-14T21:30:21.3793678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3793750Z x = self.forward_features(x) 2025-08-14T21:30:21.3794025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3794084Z x = self.blocks(x) 2025-08-14T21:30:21.3794300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3794364Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3794562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3794626Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3794630Z 2025-08-14T21:30:21.3794724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3794912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3794972Z return mod(*inputs) 2025-08-14T21:30:21.3795166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3795274Z x = self.forward_features(x) 2025-08-14T21:30:21.3795493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3795561Z x = self.blocks(x) 2025-08-14T21:30:21.3795774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3795846Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3795850Z 2025-08-14T21:30:21.3795955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3796140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3796210Z return mod(*inputs) 2025-08-14T21:30:21.3796411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3796478Z x = self.forward_features(x) 2025-08-14T21:30:21.3796709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3796774Z x = self.blocks(x) 2025-08-14T21:30:21.3796989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3797057Z x = self.conv_pw(x) 2025-08-14T21:30:21.3797252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3797357Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3797565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3797663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3797666Z 2025-08-14T21:30:21.3797769Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3797956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3798021Z return mod(*inputs) 2025-08-14T21:30:21.3798231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3798297Z x = self.forward_features(x) 2025-08-14T21:30:21.3798526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3798585Z x = self.blocks(x) 2025-08-14T21:30:21.3798798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3798866Z x = self.conv_pw(x) 2025-08-14T21:30:21.3799061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3799163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3799366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3799509Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3799513Z 2025-08-14T21:30:21.3799598Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3799674Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3799772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3799968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3800031Z return mod(*inputs) 2025-08-14T21:30:21.3800239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3800306Z x = self.forward_features(x) 2025-08-14T21:30:21.3800670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3800744Z x = self.blocks(x) 2025-08-14T21:30:21.3800954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3801710Z x = self.conv_pw(x) 2025-08-14T21:30:21.3801913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3801981Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3801985Z 2025-08-14T21:30:21.3802091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3802282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3802354Z return mod(*inputs) 2025-08-14T21:30:21.3802562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3802627Z x = self.forward_features(x) 2025-08-14T21:30:21.3802846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3802915Z x = self.blocks(x) 2025-08-14T21:30:21.3803130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3803200Z x = self.bn1(x) 2025-08-14T21:30:21.3803388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3803451Z x = F.batch_norm( 2025-08-14T21:30:21.3803454Z 2025-08-14T21:30:21.3803557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3803741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3803802Z return mod(*inputs) 2025-08-14T21:30:21.3804008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3804074Z x = self.forward_features(x) 2025-08-14T21:30:21.3804301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3804363Z x = self.blocks(x) 2025-08-14T21:30:21.3804575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3804642Z x = self.bn1(x) 2025-08-14T21:30:21.3804826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3804882Z x = self.act(x) 2025-08-14T21:30:21.3804892Z 2025-08-14T21:30:21.3804967Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3805062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3805252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3805312Z return mod(*inputs) 2025-08-14T21:30:21.3805510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3805582Z x = self.forward_features(x) 2025-08-14T21:30:21.3805878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3805941Z x = self.blocks(x) 2025-08-14T21:30:21.3806153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3806212Z x = self.conv_dw(x) 2025-08-14T21:30:21.3806406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3806505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3806704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3806809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3806812Z 2025-08-14T21:30:21.3806885Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3806985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3807210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3807272Z return mod(*inputs) 2025-08-14T21:30:21.3807476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3807542Z x = self.forward_features(x) 2025-08-14T21:30:21.3807763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3807834Z x = self.blocks(x) 2025-08-14T21:30:21.3808047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3808114Z x = self.conv_dw(x) 2025-08-14T21:30:21.3808305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3808399Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3808609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3808709Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3808712Z 2025-08-14T21:30:21.3808786Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3808888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3809072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3809139Z return mod(*inputs) 2025-08-14T21:30:21.3809338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3809403Z x = self.forward_features(x) 2025-08-14T21:30:21.3809629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3809688Z x = self.blocks(x) 2025-08-14T21:30:21.3809899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3809973Z x = self.conv_dw(x) 2025-08-14T21:30:21.3810166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3810268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3810468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3810561Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3810564Z 2025-08-14T21:30:21.3810646Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3810741Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3810934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3810996Z return mod(*inputs) 2025-08-14T21:30:21.3811196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3811310Z x = self.forward_features(x) 2025-08-14T21:30:21.3811530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3811590Z x = self.blocks(x) 2025-08-14T21:30:21.3811808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3811869Z x = self.conv_dw(x) 2025-08-14T21:30:21.3812069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3812163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3812362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3812465Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3812506Z 2025-08-14T21:30:21.3812583Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3812661Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3812742Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3812815Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3812915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3813101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3813164Z return mod(*inputs) 2025-08-14T21:30:21.3813373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3813438Z x = self.forward_features(x) 2025-08-14T21:30:21.3813661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3813730Z x = self.blocks(x) 2025-08-14T21:30:21.3813948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3814024Z x = self.conv_dw(x) 2025-08-14T21:30:21.3814218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3814283Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3814287Z 2025-08-14T21:30:21.3814369Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3814466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3814731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3814807Z return mod(*inputs) 2025-08-14T21:30:21.3815011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3815088Z x = self.forward_features(x) 2025-08-14T21:30:21.3815310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3815376Z x = self.blocks(x) 2025-08-14T21:30:21.3815607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3815668Z x = self.se(x) 2025-08-14T21:30:21.3815889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3815974Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3815979Z 2025-08-14T21:30:21.3816081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3816284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3816350Z return mod(*inputs) 2025-08-14T21:30:21.3816560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3816639Z x = self.forward_features(x) 2025-08-14T21:30:21.3816879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3817000Z x = self.blocks(x) 2025-08-14T21:30:21.3817210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3817268Z x = self.se(x) 2025-08-14T21:30:21.3817483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3817552Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3817556Z 2025-08-14T21:30:21.3817652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3817848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3817911Z return mod(*inputs) 2025-08-14T21:30:21.3818118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3818187Z x = self.forward_features(x) 2025-08-14T21:30:21.3818441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3818510Z x = self.blocks(x) 2025-08-14T21:30:21.3818721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3818779Z x = self.se(x) 2025-08-14T21:30:21.3818997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3819061Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3819065Z 2025-08-14T21:30:21.3819169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3819355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3819417Z return mod(*inputs) 2025-08-14T21:30:21.3819627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3819696Z x = self.forward_features(x) 2025-08-14T21:30:21.3819920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3819988Z x = self.blocks(x) 2025-08-14T21:30:21.3820200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3820265Z x = self.se(x) 2025-08-14T21:30:21.3820473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3820543Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3820546Z 2025-08-14T21:30:21.3820649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3820835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3820896Z return mod(*inputs) 2025-08-14T21:30:21.3821101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3821171Z x = self.forward_features(x) 2025-08-14T21:30:21.3821397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3821456Z x = self.blocks(x) 2025-08-14T21:30:21.3821667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3821734Z x = self.se(x) 2025-08-14T21:30:21.3821944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3822017Z return x * self.gate(x_se) 2025-08-14T21:30:21.3822021Z 2025-08-14T21:30:21.3822118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3822304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3822373Z return mod(*inputs) 2025-08-14T21:30:21.3822608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3822674Z x = self.forward_features(x) 2025-08-14T21:30:21.3822903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3822965Z x = self.blocks(x) 2025-08-14T21:30:21.3823183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3823241Z x = self.se(x) 2025-08-14T21:30:21.3823448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3823522Z return x * self.gate(x_se) 2025-08-14T21:30:21.3823525Z 2025-08-14T21:30:21.3823601Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3823695Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3823923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3823986Z return mod(*inputs) 2025-08-14T21:30:21.3824192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3824256Z x = self.forward_features(x) 2025-08-14T21:30:21.3824477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3824544Z x = self.blocks(x) 2025-08-14T21:30:21.3824754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3824818Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3825020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3825123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3825338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3825442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3825446Z 2025-08-14T21:30:21.3825522Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3825626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3825811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3825872Z return mod(*inputs) 2025-08-14T21:30:21.3826077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3826143Z x = self.forward_features(x) 2025-08-14T21:30:21.3826372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3826433Z x = self.blocks(x) 2025-08-14T21:30:21.3826643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3826718Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3826914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3827021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3827224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3827321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3827324Z 2025-08-14T21:30:21.3827406Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3827479Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3827576Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3827765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3827826Z return mod(*inputs) 2025-08-14T21:30:21.3828067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3828135Z x = self.forward_features(x) 2025-08-14T21:30:21.3828354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3828420Z x = self.blocks(x) 2025-08-14T21:30:21.3828631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3828695Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3828901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3828964Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3828968Z 2025-08-14T21:30:21.3829072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3829254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3829353Z return mod(*inputs) 2025-08-14T21:30:21.3829562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3829627Z x = self.forward_features(x) 2025-08-14T21:30:21.3829849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3829915Z x = self.blocks(x) 2025-08-14T21:30:21.3830129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3830207Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3830210Z 2025-08-14T21:30:21.3830304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3830488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3830557Z return mod(*inputs) 2025-08-14T21:30:21.3830754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3830826Z x = self.forward_features(x) 2025-08-14T21:30:21.3831055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3831115Z x = self.blocks(x) 2025-08-14T21:30:21.3831336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3831397Z x = self.conv_pw(x) 2025-08-14T21:30:21.3831401Z 2025-08-14T21:30:21.3831495Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3831686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3831748Z return mod(*inputs) 2025-08-14T21:30:21.3831955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3832022Z x = self.forward_features(x) 2025-08-14T21:30:21.3832248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3832315Z x = self.blocks(x) 2025-08-14T21:30:21.3832528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3832589Z x = self.conv_dw(x) 2025-08-14T21:30:21.3832592Z 2025-08-14T21:30:21.3832676Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3832771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3832963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3833025Z return mod(*inputs) 2025-08-14T21:30:21.3833225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3833297Z x = self.forward_features(x) 2025-08-14T21:30:21.3833553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3833617Z x = self.blocks(x) 2025-08-14T21:30:21.3833840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3833898Z x = self.se(x) 2025-08-14T21:30:21.3834116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3834188Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3834192Z 2025-08-14T21:30:21.3834287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3834480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3834542Z return mod(*inputs) 2025-08-14T21:30:21.3834742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3834862Z x = self.forward_features(x) 2025-08-14T21:30:21.3835088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3835156Z x = self.blocks(x) 2025-08-14T21:30:21.3835369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3835427Z x = self.se(x) 2025-08-14T21:30:21.3835646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3835715Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3835719Z 2025-08-14T21:30:21.3835821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3836009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3836070Z return mod(*inputs) 2025-08-14T21:30:21.3836275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3836348Z x = self.forward_features(x) 2025-08-14T21:30:21.3836571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3836639Z x = self.blocks(x) 2025-08-14T21:30:21.3836854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3836918Z x = self.se(x) 2025-08-14T21:30:21.3837128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3837194Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3837197Z 2025-08-14T21:30:21.3837299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3837485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3837547Z return mod(*inputs) 2025-08-14T21:30:21.3837763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3837832Z x = self.forward_features(x) 2025-08-14T21:30:21.3838064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3838126Z x = self.blocks(x) 2025-08-14T21:30:21.3838340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3838405Z x = self.se(x) 2025-08-14T21:30:21.3838614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3838683Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3838686Z 2025-08-14T21:30:21.3838790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3838977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3839048Z return mod(*inputs) 2025-08-14T21:30:21.3839333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3839402Z x = self.forward_features(x) 2025-08-14T21:30:21.3839630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3839692Z x = self.blocks(x) 2025-08-14T21:30:21.3839904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3839970Z x = self.se(x) 2025-08-14T21:30:21.3840182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3840256Z return x * self.gate(x_se) 2025-08-14T21:30:21.3840260Z 2025-08-14T21:30:21.3840354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3840541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3840648Z return mod(*inputs) 2025-08-14T21:30:21.3840853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3840927Z x = self.forward_features(x) 2025-08-14T21:30:21.3841149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3841209Z x = self.blocks(x) 2025-08-14T21:30:21.3841430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3841491Z x = self.se(x) 2025-08-14T21:30:21.3841707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3841784Z return x * self.gate(x_se) 2025-08-14T21:30:21.3841788Z 2025-08-14T21:30:21.3841883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3842086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3842147Z return mod(*inputs) 2025-08-14T21:30:21.3842353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3842424Z x = self.forward_features(x) 2025-08-14T21:30:21.3842647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3842707Z x = self.blocks(x) 2025-08-14T21:30:21.3842926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3842990Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3842993Z 2025-08-14T21:30:21.3843095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3843283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3843348Z return mod(*inputs) 2025-08-14T21:30:21.3843565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3843631Z x = self.forward_features(x) 2025-08-14T21:30:21.3843857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3843917Z x = self.blocks(x) 2025-08-14T21:30:21.3844129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:30:21.3844195Z x = self.bn3(x) 2025-08-14T21:30:21.3844385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3844445Z x = F.batch_norm( 2025-08-14T21:30:21.3844448Z 2025-08-14T21:30:21.3844550Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3844738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3844844Z return mod(*inputs) 2025-08-14T21:30:21.3845045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3845110Z x = self.forward_features(x) 2025-08-14T21:30:21.3845335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3845395Z x = self.blocks(x) 2025-08-14T21:30:21.3845605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3845676Z x = self.conv_pw(x) 2025-08-14T21:30:21.3845870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3845979Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3846182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3846319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3846322Z 2025-08-14T21:30:21.3846428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3846613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3846684Z return mod(*inputs) 2025-08-14T21:30:21.3846886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3846951Z x = self.forward_features(x) 2025-08-14T21:30:21.3847178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3847240Z x = self.blocks(x) 2025-08-14T21:30:21.3847450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3847525Z x = self.conv_pw(x) 2025-08-14T21:30:21.3847719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3847823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3848025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3848119Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3848123Z 2025-08-14T21:30:21.3848207Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3848284Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3848378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3848574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3848634Z return mod(*inputs) 2025-08-14T21:30:21.3848841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3848913Z x = self.forward_features(x) 2025-08-14T21:30:21.3849133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3849200Z x = self.blocks(x) 2025-08-14T21:30:21.3849411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3849472Z x = self.conv_pw(x) 2025-08-14T21:30:21.3849673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3849736Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3849740Z 2025-08-14T21:30:21.3849842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3850028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3850089Z return mod(*inputs) 2025-08-14T21:30:21.3850329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3850400Z x = self.forward_features(x) 2025-08-14T21:30:21.3850622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3850688Z x = self.blocks(x) 2025-08-14T21:30:21.3850897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3850962Z x = self.bn1(x) 2025-08-14T21:30:21.3851150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3851209Z x = F.batch_norm( 2025-08-14T21:30:21.3851213Z 2025-08-14T21:30:21.3851316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3851500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3851561Z return mod(*inputs) 2025-08-14T21:30:21.3851795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3851861Z x = self.forward_features(x) 2025-08-14T21:30:21.3852085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3852146Z x = self.blocks(x) 2025-08-14T21:30:21.3852355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3852422Z x = self.bn1(x) 2025-08-14T21:30:21.3852607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3852673Z x = self.act(x) 2025-08-14T21:30:21.3852677Z 2025-08-14T21:30:21.3852753Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3852847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3853039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3853107Z return mod(*inputs) 2025-08-14T21:30:21.3853306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3853381Z x = self.forward_features(x) 2025-08-14T21:30:21.3853600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3853666Z x = self.blocks(x) 2025-08-14T21:30:21.3853876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3853938Z x = self.conv_dw(x) 2025-08-14T21:30:21.3854139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3854239Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3854449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3854643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3854650Z 2025-08-14T21:30:21.3854736Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3854847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3855047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3855114Z return mod(*inputs) 2025-08-14T21:30:21.3855336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3855407Z x = self.forward_features(x) 2025-08-14T21:30:21.3855638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3855710Z x = self.blocks(x) 2025-08-14T21:30:21.3855938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3856049Z x = self.conv_dw(x) 2025-08-14T21:30:21.3856243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3856342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3856551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3856649Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3856652Z 2025-08-14T21:30:21.3856737Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3856835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3857021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3857093Z return mod(*inputs) 2025-08-14T21:30:21.3857294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3857408Z x = self.forward_features(x) 2025-08-14T21:30:21.3857639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3857700Z x = self.blocks(x) 2025-08-14T21:30:21.3857923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3857984Z x = self.conv_dw(x) 2025-08-14T21:30:21.3858178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3858285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3858491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3858586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3858589Z 2025-08-14T21:30:21.3858676Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3858777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3858971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3859031Z return mod(*inputs) 2025-08-14T21:30:21.3859235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3859309Z x = self.forward_features(x) 2025-08-14T21:30:21.3859533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3859593Z x = self.blocks(x) 2025-08-14T21:30:21.3859815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3859876Z x = self.conv_dw(x) 2025-08-14T21:30:21.3860078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3860184Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3860387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3860492Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3860496Z 2025-08-14T21:30:21.3860571Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3860644Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3860724Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3860794Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3860896Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3861084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3861145Z return mod(*inputs) 2025-08-14T21:30:21.3861354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3861456Z x = self.forward_features(x) 2025-08-14T21:30:21.3861675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3861741Z x = self.blocks(x) 2025-08-14T21:30:21.3861952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3862017Z x = self.conv_dw(x) 2025-08-14T21:30:21.3862209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3862274Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3862277Z 2025-08-14T21:30:21.3862355Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3862451Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3862633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3862734Z return mod(*inputs) 2025-08-14T21:30:21.3862938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3863012Z x = self.forward_features(x) 2025-08-14T21:30:21.3863234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3863293Z x = self.blocks(x) 2025-08-14T21:30:21.3863518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3863575Z x = self.se(x) 2025-08-14T21:30:21.3863790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3863869Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3863872Z 2025-08-14T21:30:21.3863971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3864164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3864230Z return mod(*inputs) 2025-08-14T21:30:21.3864433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3864506Z x = self.forward_features(x) 2025-08-14T21:30:21.3864731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3864797Z x = self.blocks(x) 2025-08-14T21:30:21.3865019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3865076Z x = self.se(x) 2025-08-14T21:30:21.3865296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3865363Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3865367Z 2025-08-14T21:30:21.3865463Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3865667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3865730Z return mod(*inputs) 2025-08-14T21:30:21.3865941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3866005Z x = self.forward_features(x) 2025-08-14T21:30:21.3866229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3866296Z x = self.blocks(x) 2025-08-14T21:30:21.3866513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3866571Z x = self.se(x) 2025-08-14T21:30:21.3866794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3866859Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3866862Z 2025-08-14T21:30:21.3866970Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3867191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3867255Z return mod(*inputs) 2025-08-14T21:30:21.3867459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3867525Z x = self.forward_features(x) 2025-08-14T21:30:21.3867743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3867810Z x = self.blocks(x) 2025-08-14T21:30:21.3868022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3868085Z x = self.se(x) 2025-08-14T21:30:21.3868294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3868362Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3868397Z 2025-08-14T21:30:21.3868508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3868695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3868765Z return mod(*inputs) 2025-08-14T21:30:21.3868965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3869031Z x = self.forward_features(x) 2025-08-14T21:30:21.3869257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3869317Z x = self.blocks(x) 2025-08-14T21:30:21.3869529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3869594Z x = self.se(x) 2025-08-14T21:30:21.3869814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3869889Z return x * self.gate(x_se) 2025-08-14T21:30:21.3869892Z 2025-08-14T21:30:21.3869985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3870168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3870237Z return mod(*inputs) 2025-08-14T21:30:21.3870433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3870497Z x = self.forward_features(x) 2025-08-14T21:30:21.3870719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3870777Z x = self.blocks(x) 2025-08-14T21:30:21.3870989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3871047Z x = self.se(x) 2025-08-14T21:30:21.3871261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3871337Z return x * self.gate(x_se) 2025-08-14T21:30:21.3871340Z 2025-08-14T21:30:21.3871415Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3871511Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3871701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3871762Z return mod(*inputs) 2025-08-14T21:30:21.3871971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3872036Z x = self.forward_features(x) 2025-08-14T21:30:21.3872262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3872329Z x = self.blocks(x) 2025-08-14T21:30:21.3872536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3872634Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3872830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3872928Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3873132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3873228Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3873231Z 2025-08-14T21:30:21.3873303Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3873402Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3873581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3873648Z return mod(*inputs) 2025-08-14T21:30:21.3873840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3873942Z x = self.forward_features(x) 2025-08-14T21:30:21.3874167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3874227Z x = self.blocks(x) 2025-08-14T21:30:21.3874440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3874512Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3874705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3874809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3875012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3875109Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3875112Z 2025-08-14T21:30:21.3875196Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3875272Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3875369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3875563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3875623Z return mod(*inputs) 2025-08-14T21:30:21.3875829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3875895Z x = self.forward_features(x) 2025-08-14T21:30:21.3876121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3876187Z x = self.blocks(x) 2025-08-14T21:30:21.3876394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3876455Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3876654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3876720Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3876724Z 2025-08-14T21:30:21.3876825Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3877010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3877071Z return mod(*inputs) 2025-08-14T21:30:21.3877271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3877336Z x = self.forward_features(x) 2025-08-14T21:30:21.3877550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3877617Z x = self.blocks(x) 2025-08-14T21:30:21.3877822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3877902Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3877905Z 2025-08-14T21:30:21.3878041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3878222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3878290Z return mod(*inputs) 2025-08-14T21:30:21.3878485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3878557Z x = self.forward_features(x) 2025-08-14T21:30:21.3878770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3878827Z x = self.blocks(x) 2025-08-14T21:30:21.3879042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3879102Z x = self.conv_pw(x) 2025-08-14T21:30:21.3879291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3879432Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3879631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3879733Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3879737Z 2025-08-14T21:30:21.3879831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3880011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3880078Z return mod(*inputs) 2025-08-14T21:30:21.3880272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3880337Z x = self.forward_features(x) 2025-08-14T21:30:21.3880561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3880624Z x = self.blocks(x) 2025-08-14T21:30:21.3880842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3880905Z x = self.conv_pw(x) 2025-08-14T21:30:21.3881098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3881204Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3881406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3881502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3881514Z 2025-08-14T21:30:21.3881591Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3881667Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3881770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3881952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3882020Z return mod(*inputs) 2025-08-14T21:30:21.3882227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3882304Z x = self.forward_features(x) 2025-08-14T21:30:21.3882525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3882584Z x = self.blocks(x) 2025-08-14T21:30:21.3882792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3882858Z x = self.conv_pw(x) 2025-08-14T21:30:21.3883048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3883110Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3883114Z 2025-08-14T21:30:21.3883214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3883428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3883497Z return mod(*inputs) 2025-08-14T21:30:21.3883691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3883757Z x = self.forward_features(x) 2025-08-14T21:30:21.3883983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3884044Z x = self.blocks(x) 2025-08-14T21:30:21.3884258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3884325Z x = self.bn1(x) 2025-08-14T21:30:21.3884514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3884582Z x = F.batch_norm( 2025-08-14T21:30:21.3884585Z 2025-08-14T21:30:21.3884680Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3884900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3884969Z return mod(*inputs) 2025-08-14T21:30:21.3885169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3885236Z x = self.forward_features(x) 2025-08-14T21:30:21.3885475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3885535Z x = self.blocks(x) 2025-08-14T21:30:21.3885747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3885812Z x = self.bn1(x) 2025-08-14T21:30:21.3886002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3886058Z x = self.act(x) 2025-08-14T21:30:21.3886064Z 2025-08-14T21:30:21.3886145Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3886242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3886430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3886492Z return mod(*inputs) 2025-08-14T21:30:21.3886692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3886763Z x = self.forward_features(x) 2025-08-14T21:30:21.3886979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3887038Z x = self.blocks(x) 2025-08-14T21:30:21.3887257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3887317Z x = self.conv_dw(x) 2025-08-14T21:30:21.3887516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3887619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3887822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3887927Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3887930Z 2025-08-14T21:30:21.3888006Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3888101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3888292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3888354Z return mod(*inputs) 2025-08-14T21:30:21.3888559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3888626Z x = self.forward_features(x) 2025-08-14T21:30:21.3888846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3888960Z x = self.blocks(x) 2025-08-14T21:30:21.3889174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3889235Z x = self.conv_dw(x) 2025-08-14T21:30:21.3889433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3889529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3889738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3889833Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3889836Z 2025-08-14T21:30:21.3889909Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3890010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3890194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3890293Z return mod(*inputs) 2025-08-14T21:30:21.3890494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3890560Z x = self.forward_features(x) 2025-08-14T21:30:21.3890790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3890850Z x = self.blocks(x) 2025-08-14T21:30:21.3891063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3891130Z x = self.conv_dw(x) 2025-08-14T21:30:21.3891322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3891421Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3891626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3891724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3891728Z 2025-08-14T21:30:21.3891810Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3891907Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3892097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3892165Z return mod(*inputs) 2025-08-14T21:30:21.3892365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3892439Z x = self.forward_features(x) 2025-08-14T21:30:21.3892660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3892718Z x = self.blocks(x) 2025-08-14T21:30:21.3892939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3893004Z x = self.conv_dw(x) 2025-08-14T21:30:21.3893197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3893300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3893504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3893606Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3893609Z 2025-08-14T21:30:21.3893685Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3893760Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3893840Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3893912Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3894008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3894203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3894302Z return mod(*inputs) 2025-08-14T21:30:21.3894509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3894679Z x = self.forward_features(x) 2025-08-14T21:30:21.3894950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3895024Z x = self.blocks(x) 2025-08-14T21:30:21.3895262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3895339Z x = self.conv_dw(x) 2025-08-14T21:30:21.3895555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3895627Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3895632Z 2025-08-14T21:30:21.3895722Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3895880Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3896103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3896192Z return mod(*inputs) 2025-08-14T21:30:21.3896395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3896472Z x = self.forward_features(x) 2025-08-14T21:30:21.3896694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3896757Z x = self.blocks(x) 2025-08-14T21:30:21.3896983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3897045Z x = self.se(x) 2025-08-14T21:30:21.3897261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3897347Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3897351Z 2025-08-14T21:30:21.3897453Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3897650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3897716Z return mod(*inputs) 2025-08-14T21:30:21.3897918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3897994Z x = self.forward_features(x) 2025-08-14T21:30:21.3898218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3898278Z x = self.blocks(x) 2025-08-14T21:30:21.3898502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3898561Z x = self.se(x) 2025-08-14T21:30:21.3898787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3898862Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3898865Z 2025-08-14T21:30:21.3898962Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3899162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3899226Z return mod(*inputs) 2025-08-14T21:30:21.3899428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3899505Z x = self.forward_features(x) 2025-08-14T21:30:21.3899728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3899799Z x = self.blocks(x) 2025-08-14T21:30:21.3900013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3900074Z x = self.se(x) 2025-08-14T21:30:21.3900567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3900647Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3900651Z 2025-08-14T21:30:21.3900761Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3900957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3901025Z return mod(*inputs) 2025-08-14T21:30:21.3901241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3901312Z x = self.forward_features(x) 2025-08-14T21:30:21.3901539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3901611Z x = self.blocks(x) 2025-08-14T21:30:21.3901833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3901948Z x = self.se(x) 2025-08-14T21:30:21.3902164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3902234Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3902238Z 2025-08-14T21:30:21.3902342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3902529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3902591Z return mod(*inputs) 2025-08-14T21:30:21.3902801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3902867Z x = self.forward_features(x) 2025-08-14T21:30:21.3903094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3903154Z x = self.blocks(x) 2025-08-14T21:30:21.3903369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3903438Z x = self.se(x) 2025-08-14T21:30:21.3903650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3903718Z return x * self.gate(x_se) 2025-08-14T21:30:21.3903721Z 2025-08-14T21:30:21.3903822Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3904007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3904073Z return mod(*inputs) 2025-08-14T21:30:21.3904276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3904342Z x = self.forward_features(x) 2025-08-14T21:30:21.3904571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3904630Z x = self.blocks(x) 2025-08-14T21:30:21.3904850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3904914Z x = self.se(x) 2025-08-14T21:30:21.3905126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3905201Z return x * self.gate(x_se) 2025-08-14T21:30:21.3905204Z 2025-08-14T21:30:21.3905278Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3905375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3905565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3905628Z return mod(*inputs) 2025-08-14T21:30:21.3905830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3905902Z x = self.forward_features(x) 2025-08-14T21:30:21.3906124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3906232Z x = self.blocks(x) 2025-08-14T21:30:21.3906456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3906519Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3906718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3906816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3907023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3907120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3907123Z 2025-08-14T21:30:21.3907196Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3907297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3907475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3907567Z return mod(*inputs) 2025-08-14T21:30:21.3907771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3907836Z x = self.forward_features(x) 2025-08-14T21:30:21.3908059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3908119Z x = self.blocks(x) 2025-08-14T21:30:21.3908325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3908395Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3908585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3908679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3908886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3908984Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3908987Z 2025-08-14T21:30:21.3909067Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3909139Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3909232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3909421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3909485Z return mod(*inputs) 2025-08-14T21:30:21.3909680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3909751Z x = self.forward_features(x) 2025-08-14T21:30:21.3909966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3910032Z x = self.blocks(x) 2025-08-14T21:30:21.3910247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3910308Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3910504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3910567Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3910571Z 2025-08-14T21:30:21.3910671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3910854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3910913Z return mod(*inputs) 2025-08-14T21:30:21.3911114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3911178Z x = self.forward_features(x) 2025-08-14T21:30:21.3911392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3911461Z x = self.blocks(x) 2025-08-14T21:30:21.3911704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3911781Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3911784Z 2025-08-14T21:30:21.3911876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3912054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3912122Z return mod(*inputs) 2025-08-14T21:30:21.3912314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3912379Z x = self.forward_features(x) 2025-08-14T21:30:21.3912600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3912658Z x = self.blocks(x) 2025-08-14T21:30:21.3912871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3912966Z x = self.conv_pw(x) 2025-08-14T21:30:21.3913155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3913258Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3913453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3913547Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3913558Z 2025-08-14T21:30:21.3913651Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3913833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3913902Z return mod(*inputs) 2025-08-14T21:30:21.3914094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3914161Z x = self.forward_features(x) 2025-08-14T21:30:21.3914387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3914444Z x = self.blocks(x) 2025-08-14T21:30:21.3914659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3914719Z x = self.conv_pw(x) 2025-08-14T21:30:21.3914906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3915007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3915205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3915297Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3915300Z 2025-08-14T21:30:21.3915381Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3915456Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3915558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3915738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3915796Z return mod(*inputs) 2025-08-14T21:30:21.3915996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3916060Z x = self.forward_features(x) 2025-08-14T21:30:21.3916277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3916343Z x = self.blocks(x) 2025-08-14T21:30:21.3916549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3916614Z x = self.conv_pw(x) 2025-08-14T21:30:21.3916801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3916902Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3916906Z 2025-08-14T21:30:21.3917006Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3917185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3917245Z return mod(*inputs) 2025-08-14T21:30:21.3917445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3917511Z x = self.forward_features(x) 2025-08-14T21:30:21.3917734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3917794Z x = self.blocks(x) 2025-08-14T21:30:21.3917999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3918066Z x = self.bn1(x) 2025-08-14T21:30:21.3918296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3918354Z x = F.batch_norm( 2025-08-14T21:30:21.3918364Z 2025-08-14T21:30:21.3918457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3918640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3918708Z return mod(*inputs) 2025-08-14T21:30:21.3918905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3918970Z x = self.forward_features(x) 2025-08-14T21:30:21.3919191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3919249Z x = self.blocks(x) 2025-08-14T21:30:21.3919457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3919522Z x = self.bn1(x) 2025-08-14T21:30:21.3919710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3919773Z x = self.act(x) 2025-08-14T21:30:21.3919776Z 2025-08-14T21:30:21.3919849Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3919942Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3920130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3920192Z return mod(*inputs) 2025-08-14T21:30:21.3920395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3920461Z x = self.forward_features(x) 2025-08-14T21:30:21.3920677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3920742Z x = self.blocks(x) 2025-08-14T21:30:21.3920950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3921015Z x = self.conv_dw(x) 2025-08-14T21:30:21.3921211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3921307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3921512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3921607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3921610Z 2025-08-14T21:30:21.3921685Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3921785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3921966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3922027Z return mod(*inputs) 2025-08-14T21:30:21.3922230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3922335Z x = self.forward_features(x) 2025-08-14T21:30:21.3922558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3922617Z x = self.blocks(x) 2025-08-14T21:30:21.3922824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3922891Z x = self.conv_dw(x) 2025-08-14T21:30:21.3923082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3923176Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3923382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3923473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3923508Z 2025-08-14T21:30:21.3923591Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3923687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3923868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3923936Z return mod(*inputs) 2025-08-14T21:30:21.3924131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3924195Z x = self.forward_features(x) 2025-08-14T21:30:21.3924418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3924476Z x = self.blocks(x) 2025-08-14T21:30:21.3924688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3924747Z x = self.conv_dw(x) 2025-08-14T21:30:21.3924937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3925045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3925244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3925344Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3925347Z 2025-08-14T21:30:21.3925421Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3925514Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3925703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3925763Z return mod(*inputs) 2025-08-14T21:30:21.3925959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3926030Z x = self.forward_features(x) 2025-08-14T21:30:21.3926246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3926317Z x = self.blocks(x) 2025-08-14T21:30:21.3926532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3926592Z x = self.conv_dw(x) 2025-08-14T21:30:21.3926789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3926882Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3927079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3927179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3927182Z 2025-08-14T21:30:21.3927256Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3927334Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3927406Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3927477Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3927616Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3927797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3927857Z return mod(*inputs) 2025-08-14T21:30:21.3928063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3928127Z x = self.forward_features(x) 2025-08-14T21:30:21.3928345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3928404Z x = self.blocks(x) 2025-08-14T21:30:21.3928608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3928672Z x = self.conv_dw(x) 2025-08-14T21:30:21.3928860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3928955Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3928958Z 2025-08-14T21:30:21.3929036Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3929126Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3929314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3929375Z return mod(*inputs) 2025-08-14T21:30:21.3929569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3929641Z x = self.forward_features(x) 2025-08-14T21:30:21.3929856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3929913Z x = self.blocks(x) 2025-08-14T21:30:21.3930126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3930185Z x = self.se(x) 2025-08-14T21:30:21.3930402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3930471Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3930474Z 2025-08-14T21:30:21.3930567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3930754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3930814Z return mod(*inputs) 2025-08-14T21:30:21.3931018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3931083Z x = self.forward_features(x) 2025-08-14T21:30:21.3931296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3931361Z x = self.blocks(x) 2025-08-14T21:30:21.3931566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3931627Z x = self.se(x) 2025-08-14T21:30:21.3931839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3931906Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3931910Z 2025-08-14T21:30:21.3932011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3932193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3932254Z return mod(*inputs) 2025-08-14T21:30:21.3932457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3932522Z x = self.forward_features(x) 2025-08-14T21:30:21.3932736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3932803Z x = self.blocks(x) 2025-08-14T21:30:21.3933049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3933115Z x = self.se(x) 2025-08-14T21:30:21.3933321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3933384Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3933388Z 2025-08-14T21:30:21.3933490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3933672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3933733Z return mod(*inputs) 2025-08-14T21:30:21.3933939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3934003Z x = self.forward_features(x) 2025-08-14T21:30:21.3934243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3934335Z x = self.blocks(x) 2025-08-14T21:30:21.3934614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3934693Z x = self.se(x) 2025-08-14T21:30:21.3934905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3934975Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3934995Z 2025-08-14T21:30:21.3935093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3935280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3935353Z return mod(*inputs) 2025-08-14T21:30:21.3935568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3935638Z x = self.forward_features(x) 2025-08-14T21:30:21.3935879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3935948Z x = self.blocks(x) 2025-08-14T21:30:21.3936190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3936251Z x = self.se(x) 2025-08-14T21:30:21.3936467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3936544Z return x * self.gate(x_se) 2025-08-14T21:30:21.3936548Z 2025-08-14T21:30:21.3936655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3936842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3936911Z return mod(*inputs) 2025-08-14T21:30:21.3937149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3937222Z x = self.forward_features(x) 2025-08-14T21:30:21.3937450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3937509Z x = self.blocks(x) 2025-08-14T21:30:21.3937730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3937787Z x = self.se(x) 2025-08-14T21:30:21.3937996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3938071Z return x * self.gate(x_se) 2025-08-14T21:30:21.3938074Z 2025-08-14T21:30:21.3938149Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3938251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3938437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3938498Z return mod(*inputs) 2025-08-14T21:30:21.3938705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3938809Z x = self.forward_features(x) 2025-08-14T21:30:21.3939043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3939112Z x = self.blocks(x) 2025-08-14T21:30:21.3939331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3939403Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3939644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3939743Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3939957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3940055Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3940095Z 2025-08-14T21:30:21.3940177Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3940278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3940468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3940538Z return mod(*inputs) 2025-08-14T21:30:21.3940777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3940842Z x = self.forward_features(x) 2025-08-14T21:30:21.3941070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3941128Z x = self.blocks(x) 2025-08-14T21:30:21.3941348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3941411Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3941605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3941713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3941919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3942015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3942018Z 2025-08-14T21:30:21.3942100Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3942175Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3942276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3942460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3942522Z return mod(*inputs) 2025-08-14T21:30:21.3942727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3942792Z x = self.forward_features(x) 2025-08-14T21:30:21.3943019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3943086Z x = self.blocks(x) 2025-08-14T21:30:21.3943298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3943369Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3943561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3943625Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3943629Z 2025-08-14T21:30:21.3943734Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3943918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3943981Z return mod(*inputs) 2025-08-14T21:30:21.3944186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3944256Z x = self.forward_features(x) 2025-08-14T21:30:21.3944515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3944575Z x = self.blocks(x) 2025-08-14T21:30:21.3944789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3944869Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3944872Z 2025-08-14T21:30:21.3944969Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3945162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3945224Z return mod(*inputs) 2025-08-14T21:30:21.3945424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3945496Z x = self.forward_features(x) 2025-08-14T21:30:21.3945725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3945817Z x = self.blocks(x) 2025-08-14T21:30:21.3946043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3946106Z x = self.conv_pw(x) 2025-08-14T21:30:21.3946109Z 2025-08-14T21:30:21.3946210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3946397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3946461Z return mod(*inputs) 2025-08-14T21:30:21.3946668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3946734Z x = self.forward_features(x) 2025-08-14T21:30:21.3946955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3947024Z x = self.blocks(x) 2025-08-14T21:30:21.3947244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3947309Z x = self.bn1(x) 2025-08-14T21:30:21.3947499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3947558Z x = F.batch_norm( 2025-08-14T21:30:21.3947562Z 2025-08-14T21:30:21.3947665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3947851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3947911Z return mod(*inputs) 2025-08-14T21:30:21.3948121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3948187Z x = self.forward_features(x) 2025-08-14T21:30:21.3948415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3948477Z x = self.blocks(x) 2025-08-14T21:30:21.3948693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3948761Z x = self.bn1(x) 2025-08-14T21:30:21.3948950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3949007Z x = self.act(x) 2025-08-14T21:30:21.3949019Z 2025-08-14T21:30:21.3949094Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3949191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3949387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3949448Z return mod(*inputs) 2025-08-14T21:30:21.3949648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3949724Z x = self.forward_features(x) 2025-08-14T21:30:21.3949982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3950043Z x = self.blocks(x) 2025-08-14T21:30:21.3950261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3950323Z x = self.conv_dw(x) 2025-08-14T21:30:21.3950523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3950623Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3950825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3950930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3950934Z 2025-08-14T21:30:21.3951008Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3951109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3951323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3951385Z return mod(*inputs) 2025-08-14T21:30:21.3951589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3951654Z x = self.forward_features(x) 2025-08-14T21:30:21.3951872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3951938Z x = self.blocks(x) 2025-08-14T21:30:21.3952147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3952214Z x = self.conv_dw(x) 2025-08-14T21:30:21.3952407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3952503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3952717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3952813Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3952816Z 2025-08-14T21:30:21.3952891Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3952992Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3953176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3953244Z return mod(*inputs) 2025-08-14T21:30:21.3953441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3953505Z x = self.forward_features(x) 2025-08-14T21:30:21.3953728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3953788Z x = self.blocks(x) 2025-08-14T21:30:21.3954005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3954070Z x = self.conv_dw(x) 2025-08-14T21:30:21.3954261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3954366Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3954566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3954660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3954663Z 2025-08-14T21:30:21.3954744Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3954838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3955036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3955097Z return mod(*inputs) 2025-08-14T21:30:21.3955324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3955398Z x = self.forward_features(x) 2025-08-14T21:30:21.3955612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3955670Z x = self.blocks(x) 2025-08-14T21:30:21.3955887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3955944Z x = self.conv_dw(x) 2025-08-14T21:30:21.3956140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3956234Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3956432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3956534Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3956566Z 2025-08-14T21:30:21.3956644Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3956719Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3956800Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3956871Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3956971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3957156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3957218Z return mod(*inputs) 2025-08-14T21:30:21.3957427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3957494Z x = self.forward_features(x) 2025-08-14T21:30:21.3957723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3957790Z x = self.blocks(x) 2025-08-14T21:30:21.3958000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3958071Z x = self.conv_dw(x) 2025-08-14T21:30:21.3958262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3958326Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3958329Z 2025-08-14T21:30:21.3958409Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3958502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3958684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3958752Z return mod(*inputs) 2025-08-14T21:30:21.3958946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3959019Z x = self.forward_features(x) 2025-08-14T21:30:21.3959234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3959295Z x = self.blocks(x) 2025-08-14T21:30:21.3959511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3959566Z x = self.se(x) 2025-08-14T21:30:21.3959772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3959851Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3959854Z 2025-08-14T21:30:21.3959948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3960133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3960194Z return mod(*inputs) 2025-08-14T21:30:21.3960387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3960458Z x = self.forward_features(x) 2025-08-14T21:30:21.3960715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3960778Z x = self.blocks(x) 2025-08-14T21:30:21.3960995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3961052Z x = self.se(x) 2025-08-14T21:30:21.3961268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3961334Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3961338Z 2025-08-14T21:30:21.3961430Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3961620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3961680Z return mod(*inputs) 2025-08-14T21:30:21.3961888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3961983Z x = self.forward_features(x) 2025-08-14T21:30:21.3962199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3962264Z x = self.blocks(x) 2025-08-14T21:30:21.3962472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3962527Z x = self.se(x) 2025-08-14T21:30:21.3962740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3962803Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3962807Z 2025-08-14T21:30:21.3962905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3963085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3963146Z return mod(*inputs) 2025-08-14T21:30:21.3963345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3963413Z x = self.forward_features(x) 2025-08-14T21:30:21.3963627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3963694Z x = self.blocks(x) 2025-08-14T21:30:21.3963904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3963965Z x = self.se(x) 2025-08-14T21:30:21.3964168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3964235Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3964238Z 2025-08-14T21:30:21.3964336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3964515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3964575Z return mod(*inputs) 2025-08-14T21:30:21.3964782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3964845Z x = self.forward_features(x) 2025-08-14T21:30:21.3965114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3965173Z x = self.blocks(x) 2025-08-14T21:30:21.3965385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3965448Z x = self.se(x) 2025-08-14T21:30:21.3965660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3965726Z return x * self.gate(x_se) 2025-08-14T21:30:21.3965736Z 2025-08-14T21:30:21.3965832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3966017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3966085Z return mod(*inputs) 2025-08-14T21:30:21.3966317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3966384Z x = self.forward_features(x) 2025-08-14T21:30:21.3966610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3966671Z x = self.blocks(x) 2025-08-14T21:30:21.3966888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3966946Z x = self.se(x) 2025-08-14T21:30:21.3967159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3967232Z return x * self.gate(x_se) 2025-08-14T21:30:21.3967235Z 2025-08-14T21:30:21.3967329Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3967514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3967615Z return mod(*inputs) 2025-08-14T21:30:21.3967818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3967891Z x = self.forward_features(x) 2025-08-14T21:30:21.3968112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3968171Z x = self.blocks(x) 2025-08-14T21:30:21.3968392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3968456Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3968459Z 2025-08-14T21:30:21.3968553Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3968746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3968807Z return mod(*inputs) 2025-08-14T21:30:21.3969018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3969083Z x = self.forward_features(x) 2025-08-14T21:30:21.3969304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3969370Z x = self.blocks(x) 2025-08-14T21:30:21.3969581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:30:21.3969641Z x = self.bn3(x) 2025-08-14T21:30:21.3969837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3969897Z x = F.batch_norm( 2025-08-14T21:30:21.3969900Z 2025-08-14T21:30:21.3970003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3970190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3970255Z return mod(*inputs) 2025-08-14T21:30:21.3970463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3970540Z x = self.forward_features(x) 2025-08-14T21:30:21.3970766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3970825Z x = self.blocks(x) 2025-08-14T21:30:21.3971033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.3971099Z x = self.conv_pw(x) 2025-08-14T21:30:21.3971102Z 2025-08-14T21:30:21.3971196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3971380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3971450Z return mod(*inputs) 2025-08-14T21:30:21.3971650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3971763Z x = self.forward_features(x) 2025-08-14T21:30:21.3971985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3972045Z x = self.blocks(x) 2025-08-14T21:30:21.3972260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3972319Z x = self.bn1(x) 2025-08-14T21:30:21.3972506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.3972573Z x = F.batch_norm( 2025-08-14T21:30:21.3972576Z 2025-08-14T21:30:21.3972670Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3972860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3972920Z return mod(*inputs) 2025-08-14T21:30:21.3973122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3973228Z x = self.forward_features(x) 2025-08-14T21:30:21.3973449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3973509Z x = self.blocks(x) 2025-08-14T21:30:21.3973748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.3973806Z x = self.bn1(x) 2025-08-14T21:30:21.3973999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.3974057Z x = self.act(x) 2025-08-14T21:30:21.3974060Z 2025-08-14T21:30:21.3974135Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3974238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3974427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3974495Z return mod(*inputs) 2025-08-14T21:30:21.3974781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3974855Z x = self.forward_features(x) 2025-08-14T21:30:21.3975088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3975151Z x = self.blocks(x) 2025-08-14T21:30:21.3975370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3975441Z x = self.conv_dw(x) 2025-08-14T21:30:21.3975641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3975755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3975967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3976073Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3976077Z 2025-08-14T21:30:21.3976163Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3976258Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3976443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3976515Z return mod(*inputs) 2025-08-14T21:30:21.3976715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3976791Z x = self.forward_features(x) 2025-08-14T21:30:21.3977013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3977074Z x = self.blocks(x) 2025-08-14T21:30:21.3977296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3977360Z x = self.conv_dw(x) 2025-08-14T21:30:21.3977602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3977708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3977908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3978011Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3978014Z 2025-08-14T21:30:21.3978089Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3978183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3978373Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3978434Z return mod(*inputs) 2025-08-14T21:30:21.3978635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3978738Z x = self.forward_features(x) 2025-08-14T21:30:21.3978961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3979026Z x = self.blocks(x) 2025-08-14T21:30:21.3979242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3979303Z x = self.conv_dw(x) 2025-08-14T21:30:21.3979505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3979600Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3979803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3979903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3979906Z 2025-08-14T21:30:21.3979981Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3980087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3980309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3980370Z return mod(*inputs) 2025-08-14T21:30:21.3980579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3980646Z x = self.forward_features(x) 2025-08-14T21:30:21.3980874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3980933Z x = self.blocks(x) 2025-08-14T21:30:21.3981144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3981214Z x = self.conv_dw(x) 2025-08-14T21:30:21.3981409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3981508Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3981719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3981815Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3981818Z 2025-08-14T21:30:21.3981900Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3981975Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3982048Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3982128Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3982224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3982407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3982478Z return mod(*inputs) 2025-08-14T21:30:21.3982680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3982757Z x = self.forward_features(x) 2025-08-14T21:30:21.3983020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3983084Z x = self.blocks(x) 2025-08-14T21:30:21.3983302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.3983361Z x = self.conv_dw(x) 2025-08-14T21:30:21.3983553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3983624Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3983627Z 2025-08-14T21:30:21.3983699Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3983804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3983990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3984054Z return mod(*inputs) 2025-08-14T21:30:21.3984289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3984356Z x = self.forward_features(x) 2025-08-14T21:30:21.3984573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3984647Z x = self.blocks(x) 2025-08-14T21:30:21.3984856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3984920Z x = self.se(x) 2025-08-14T21:30:21.3985127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.3985199Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.3985203Z 2025-08-14T21:30:21.3985305Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3985489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3985553Z return mod(*inputs) 2025-08-14T21:30:21.3985762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3985827Z x = self.forward_features(x) 2025-08-14T21:30:21.3986049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3986107Z x = self.blocks(x) 2025-08-14T21:30:21.3986317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3986382Z x = self.se(x) 2025-08-14T21:30:21.3986598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.3986664Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.3986673Z 2025-08-14T21:30:21.3986765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3986942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3987013Z return mod(*inputs) 2025-08-14T21:30:21.3987205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3987269Z x = self.forward_features(x) 2025-08-14T21:30:21.3987488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3987547Z x = self.blocks(x) 2025-08-14T21:30:21.3987757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3987814Z x = self.se(x) 2025-08-14T21:30:21.3988018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.3988090Z x_se = self.act1(x_se) 2025-08-14T21:30:21.3988093Z 2025-08-14T21:30:21.3988184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3988396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3988465Z return mod(*inputs) 2025-08-14T21:30:21.3988657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3988727Z x = self.forward_features(x) 2025-08-14T21:30:21.3988940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3988999Z x = self.blocks(x) 2025-08-14T21:30:21.3989212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3989269Z x = self.se(x) 2025-08-14T21:30:21.3989471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.3989545Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.3989578Z 2025-08-14T21:30:21.3989671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3989862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3989923Z return mod(*inputs) 2025-08-14T21:30:21.3990119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3990190Z x = self.forward_features(x) 2025-08-14T21:30:21.3990403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3990461Z x = self.blocks(x) 2025-08-14T21:30:21.3990674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3990729Z x = self.se(x) 2025-08-14T21:30:21.3990939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3991006Z return x * self.gate(x_se) 2025-08-14T21:30:21.3991009Z 2025-08-14T21:30:21.3991103Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3991290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3991350Z return mod(*inputs) 2025-08-14T21:30:21.3991550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3991614Z x = self.forward_features(x) 2025-08-14T21:30:21.3991829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3991893Z x = self.blocks(x) 2025-08-14T21:30:21.3992100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.3992154Z x = self.se(x) 2025-08-14T21:30:21.3992363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.3992432Z return x * self.gate(x_se) 2025-08-14T21:30:21.3992435Z 2025-08-14T21:30:21.3992516Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3992608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3992788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3992855Z return mod(*inputs) 2025-08-14T21:30:21.3993051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3993114Z x = self.forward_features(x) 2025-08-14T21:30:21.3993335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3993392Z x = self.blocks(x) 2025-08-14T21:30:21.3993609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3993673Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3993898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3994000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3994204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3994301Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3994312Z 2025-08-14T21:30:21.3994387Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3994481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3994674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3994736Z return mod(*inputs) 2025-08-14T21:30:21.3994943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3995048Z x = self.forward_features(x) 2025-08-14T21:30:21.3995266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3995325Z x = self.blocks(x) 2025-08-14T21:30:21.3995539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3995600Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3995793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.3995890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3996094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.3996197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.3996200Z 2025-08-14T21:30:21.3996274Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3996358Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.3996456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3996642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3996711Z return mod(*inputs) 2025-08-14T21:30:21.3996908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3996974Z x = self.forward_features(x) 2025-08-14T21:30:21.3997200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3997261Z x = self.blocks(x) 2025-08-14T21:30:21.3997478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.3997541Z x = self.conv_pwl(x) 2025-08-14T21:30:21.3997743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.3997816Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.3997819Z 2025-08-14T21:30:21.3997912Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3998092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3998159Z return mod(*inputs) 2025-08-14T21:30:21.3998352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3998424Z x = self.forward_features(x) 2025-08-14T21:30:21.3998639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3998696Z x = self.blocks(x) 2025-08-14T21:30:21.3998907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.3998975Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.3998980Z 2025-08-14T21:30:21.3999104Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.3999291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.3999351Z return mod(*inputs) 2025-08-14T21:30:21.3999552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.3999618Z x = self.forward_features(x) 2025-08-14T21:30:21.3999829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.3999897Z x = self.blocks(x) 2025-08-14T21:30:21.4000105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.4000166Z x = self.conv_pw(x) 2025-08-14T21:30:21.4000176Z 2025-08-14T21:30:21.4000271Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4000620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4000696Z return mod(*inputs) 2025-08-14T21:30:21.4000898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4000964Z x = self.forward_features(x) 2025-08-14T21:30:21.4001192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4001252Z x = self.blocks(x) 2025-08-14T21:30:21.4001474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.4001533Z x = self.bn1(x) 2025-08-14T21:30:21.4001721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.4001798Z x = F.batch_norm( 2025-08-14T21:30:21.4001801Z 2025-08-14T21:30:21.4001894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4002079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4002148Z return mod(*inputs) 2025-08-14T21:30:21.4002345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4002418Z x = self.forward_features(x) 2025-08-14T21:30:21.4002640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4002701Z x = self.blocks(x) 2025-08-14T21:30:21.4002921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.4002981Z x = self.bn1(x) 2025-08-14T21:30:21.4003169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.4003236Z x = self.act(x) 2025-08-14T21:30:21.4003240Z 2025-08-14T21:30:21.4003319Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4003423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4003608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4003669Z return mod(*inputs) 2025-08-14T21:30:21.4003873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4003939Z x = self.forward_features(x) 2025-08-14T21:30:21.4004159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4004226Z x = self.blocks(x) 2025-08-14T21:30:21.4004439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4004504Z x = self.conv_dw(x) 2025-08-14T21:30:21.4004698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4004873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4005086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4005186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4005190Z 2025-08-14T21:30:21.4005264Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4005368Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4005555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4005626Z return mod(*inputs) 2025-08-14T21:30:21.4005826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4005891Z x = self.forward_features(x) 2025-08-14T21:30:21.4006121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4006263Z x = self.blocks(x) 2025-08-14T21:30:21.4006478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4006547Z x = self.conv_dw(x) 2025-08-14T21:30:21.4006740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4006845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4007047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4007144Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4007147Z 2025-08-14T21:30:21.4007230Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4007327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4007519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4007587Z return mod(*inputs) 2025-08-14T21:30:21.4007787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4007861Z x = self.forward_features(x) 2025-08-14T21:30:21.4008083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4008145Z x = self.blocks(x) 2025-08-14T21:30:21.4008368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4008430Z x = self.conv_dw(x) 2025-08-14T21:30:21.4008632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4008730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4008934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4009042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4009045Z 2025-08-14T21:30:21.4009122Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4009218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4009414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4009478Z return mod(*inputs) 2025-08-14T21:30:21.4009683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4009749Z x = self.forward_features(x) 2025-08-14T21:30:21.4009970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4010037Z x = self.blocks(x) 2025-08-14T21:30:21.4010251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4010313Z x = self.conv_dw(x) 2025-08-14T21:30:21.4010555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4010652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4010861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4010956Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4010960Z 2025-08-14T21:30:21.4011033Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4011114Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4011186Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4011264Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4011361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4011544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4011655Z return mod(*inputs) 2025-08-14T21:30:21.4011856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4011921Z x = self.forward_features(x) 2025-08-14T21:30:21.4012148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4012209Z x = self.blocks(x) 2025-08-14T21:30:21.4012428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4012489Z x = self.conv_dw(x) 2025-08-14T21:30:21.4012682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.4012754Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.4012757Z 2025-08-14T21:30:21.4012828Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4012925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4013124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4013185Z return mod(*inputs) 2025-08-14T21:30:21.4013390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4013457Z x = self.forward_features(x) 2025-08-14T21:30:21.4013677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4013743Z x = self.blocks(x) 2025-08-14T21:30:21.4013953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4014010Z x = self.se(x) 2025-08-14T21:30:21.4014227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.4014297Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.4014303Z 2025-08-14T21:30:21.4014407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4014654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4014720Z return mod(*inputs) 2025-08-14T21:30:21.4014920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4014983Z x = self.forward_features(x) 2025-08-14T21:30:21.4015223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4015292Z x = self.blocks(x) 2025-08-14T21:30:21.4015509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4015575Z x = self.se(x) 2025-08-14T21:30:21.4015791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.4015865Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.4015919Z 2025-08-14T21:30:21.4016028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4016221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4016286Z return mod(*inputs) 2025-08-14T21:30:21.4016504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4016569Z x = self.forward_features(x) 2025-08-14T21:30:21.4016797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4016857Z x = self.blocks(x) 2025-08-14T21:30:21.4017067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4017133Z x = self.se(x) 2025-08-14T21:30:21.4017342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.4017673Z x_se = self.act1(x_se) 2025-08-14T21:30:21.4017685Z 2025-08-14T21:30:21.4017783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4017972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4018047Z return mod(*inputs) 2025-08-14T21:30:21.4018247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4018314Z x = self.forward_features(x) 2025-08-14T21:30:21.4018544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4018605Z x = self.blocks(x) 2025-08-14T21:30:21.4018827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4018886Z x = self.se(x) 2025-08-14T21:30:21.4019103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.4019179Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.4019183Z 2025-08-14T21:30:21.4019278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4019466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4019537Z return mod(*inputs) 2025-08-14T21:30:21.4019740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4019816Z x = self.forward_features(x) 2025-08-14T21:30:21.4020040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4020101Z x = self.blocks(x) 2025-08-14T21:30:21.4020324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4020386Z x = self.se(x) 2025-08-14T21:30:21.4020601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.4020677Z return x * self.gate(x_se) 2025-08-14T21:30:21.4020680Z 2025-08-14T21:30:21.4020776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4020971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4021033Z return mod(*inputs) 2025-08-14T21:30:21.4021235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4021309Z x = self.forward_features(x) 2025-08-14T21:30:21.4021530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4021590Z x = self.blocks(x) 2025-08-14T21:30:21.4021849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4021911Z x = self.se(x) 2025-08-14T21:30:21.4022126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.4022192Z return x * self.gate(x_se) 2025-08-14T21:30:21.4022195Z 2025-08-14T21:30:21.4022270Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4022373Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4022559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4022620Z return mod(*inputs) 2025-08-14T21:30:21.4022826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4022891Z x = self.forward_features(x) 2025-08-14T21:30:21.4023119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4023228Z x = self.blocks(x) 2025-08-14T21:30:21.4023450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.4023519Z x = self.conv_pwl(x) 2025-08-14T21:30:21.4023710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4023813Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4024015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4024115Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4024118Z 2025-08-14T21:30:21.4024201Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4024296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4024482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4024556Z return mod(*inputs) 2025-08-14T21:30:21.4024766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4024837Z x = self.forward_features(x) 2025-08-14T21:30:21.4025053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4025113Z x = self.blocks(x) 2025-08-14T21:30:21.4025336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.4025400Z x = self.conv_pwl(x) 2025-08-14T21:30:21.4025595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4025700Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4025912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4026018Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4026021Z 2025-08-14T21:30:21.4026095Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4026169Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4026271Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4026451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4026510Z return mod(*inputs) 2025-08-14T21:30:21.4026713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4026776Z x = self.forward_features(x) 2025-08-14T21:30:21.4027000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4027058Z x = self.blocks(x) 2025-08-14T21:30:21.4027306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.4027379Z x = self.conv_pwl(x) 2025-08-14T21:30:21.4027567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.4027629Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.4027640Z 2025-08-14T21:30:21.4027734Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4027917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4027984Z return mod(*inputs) 2025-08-14T21:30:21.4028177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4028239Z x = self.forward_features(x) 2025-08-14T21:30:21.4028460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4028518Z x = self.blocks(x) 2025-08-14T21:30:21.4028768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.4028835Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.4028839Z 2025-08-14T21:30:21.4028931Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4029120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4029179Z return mod(*inputs) 2025-08-14T21:30:21.4029371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4029444Z x = self.forward_features(x) 2025-08-14T21:30:21.4029656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4029721Z x = self.blocks(x) 2025-08-14T21:30:21.4029926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:30:21.4029992Z x = self.conv_pw(x) 2025-08-14T21:30:21.4029995Z 2025-08-14T21:30:21.4030095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4030274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4030333Z return mod(*inputs) 2025-08-14T21:30:21.4030534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4030597Z x = self.forward_features(x) 2025-08-14T21:30:21.4030818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4030877Z x = self.blocks(x) 2025-08-14T21:30:21.4031081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.4031145Z x = self.bn1(x) 2025-08-14T21:30:21.4031332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:30:21.4031393Z x = F.batch_norm( 2025-08-14T21:30:21.4031404Z 2025-08-14T21:30:21.4031496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4031675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4031742Z return mod(*inputs) 2025-08-14T21:30:21.4031936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4032000Z x = self.forward_features(x) 2025-08-14T21:30:21.4032222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4032280Z x = self.blocks(x) 2025-08-14T21:30:21.4032495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:30:21.4032552Z x = self.bn1(x) 2025-08-14T21:30:21.4032773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:30:21.4032838Z x = self.act(x) 2025-08-14T21:30:21.4032842Z 2025-08-14T21:30:21.4032915Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4033007Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4033191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4033252Z return mod(*inputs) 2025-08-14T21:30:21.4033455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4033519Z x = self.forward_features(x) 2025-08-14T21:30:21.4033734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4033798Z x = self.blocks(x) 2025-08-14T21:30:21.4034005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4034100Z x = self.conv_dw(x) 2025-08-14T21:30:21.4034304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4034402Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4034607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4034703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4034707Z 2025-08-14T21:30:21.4034780Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4034881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4035061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4035120Z return mod(*inputs) 2025-08-14T21:30:21.4035325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4035393Z x = self.forward_features(x) 2025-08-14T21:30:21.4035614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4035673Z x = self.blocks(x) 2025-08-14T21:30:21.4035879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4035946Z x = self.conv_dw(x) 2025-08-14T21:30:21.4036136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4036230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4036435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4036528Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4036534Z 2025-08-14T21:30:21.4036614Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4036709Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4036891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4036959Z return mod(*inputs) 2025-08-14T21:30:21.4037154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4037225Z x = self.forward_features(x) 2025-08-14T21:30:21.4037440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4037500Z x = self.blocks(x) 2025-08-14T21:30:21.4037716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4037775Z x = self.conv_dw(x) 2025-08-14T21:30:21.4037968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4038106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4038302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4038400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4038404Z 2025-08-14T21:30:21.4038477Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4038568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4038753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4038814Z return mod(*inputs) 2025-08-14T21:30:21.4039005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4039076Z x = self.forward_features(x) 2025-08-14T21:30:21.4039291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4039398Z x = self.blocks(x) 2025-08-14T21:30:21.4039604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4039664Z x = self.conv_dw(x) 2025-08-14T21:30:21.4039858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4039950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4040145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4040244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4040247Z 2025-08-14T21:30:21.4040321Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4040400Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4040471Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4040543Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4040644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4040826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4040887Z return mod(*inputs) 2025-08-14T21:30:21.4041092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4041157Z x = self.forward_features(x) 2025-08-14T21:30:21.4041382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4041441Z x = self.blocks(x) 2025-08-14T21:30:21.4041655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:30:21.4041723Z x = self.conv_dw(x) 2025-08-14T21:30:21.4041918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.4041987Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.4041996Z 2025-08-14T21:30:21.4042069Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4042167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4042360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4042420Z return mod(*inputs) 2025-08-14T21:30:21.4042626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4042700Z x = self.forward_features(x) 2025-08-14T21:30:21.4042912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4042972Z x = self.blocks(x) 2025-08-14T21:30:21.4043190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4043252Z x = self.se(x) 2025-08-14T21:30:21.4043514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:30:21.4043586Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:30:21.4043590Z 2025-08-14T21:30:21.4043686Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4043883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4043944Z return mod(*inputs) 2025-08-14T21:30:21.4044153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4044220Z x = self.forward_features(x) 2025-08-14T21:30:21.4044443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4044511Z x = self.blocks(x) 2025-08-14T21:30:21.4044723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4044819Z x = self.se(x) 2025-08-14T21:30:21.4045040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:30:21.4045108Z x_se = self.conv_reduce(x_se) 2025-08-14T21:30:21.4045112Z 2025-08-14T21:30:21.4045215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4045404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4045466Z return mod(*inputs) 2025-08-14T21:30:21.4045673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4045738Z x = self.forward_features(x) 2025-08-14T21:30:21.4045960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4046026Z x = self.blocks(x) 2025-08-14T21:30:21.4046243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4046306Z x = self.se(x) 2025-08-14T21:30:21.4046514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:30:21.4046579Z x_se = self.act1(x_se) 2025-08-14T21:30:21.4046583Z 2025-08-14T21:30:21.4046685Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4046869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4046931Z return mod(*inputs) 2025-08-14T21:30:21.4047136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4047201Z x = self.forward_features(x) 2025-08-14T21:30:21.4047427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4047489Z x = self.blocks(x) 2025-08-14T21:30:21.4047704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4047772Z x = self.se(x) 2025-08-14T21:30:21.4047985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:30:21.4048053Z x_se = self.conv_expand(x_se) 2025-08-14T21:30:21.4048063Z 2025-08-14T21:30:21.4048158Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4048346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4048415Z return mod(*inputs) 2025-08-14T21:30:21.4048616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4048680Z x = self.forward_features(x) 2025-08-14T21:30:21.4048910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4049008Z x = self.blocks(x) 2025-08-14T21:30:21.4049227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4049286Z x = self.se(x) 2025-08-14T21:30:21.4049500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.4049575Z return x * self.gate(x_se) 2025-08-14T21:30:21.4049578Z 2025-08-14T21:30:21.4049675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4049861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4049934Z return mod(*inputs) 2025-08-14T21:30:21.4050154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4050231Z x = self.forward_features(x) 2025-08-14T21:30:21.4050490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4050549Z x = self.blocks(x) 2025-08-14T21:30:21.4050765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:30:21.4050823Z x = self.se(x) 2025-08-14T21:30:21.4051031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:30:21.4051105Z return x * self.gate(x_se) 2025-08-14T21:30:21.4051109Z 2025-08-14T21:30:21.4051181Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4051281Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4051461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4051522Z return mod(*inputs) 2025-08-14T21:30:21.4051727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4051797Z x = self.forward_features(x) 2025-08-14T21:30:21.4052018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4052084Z x = self.blocks(x) 2025-08-14T21:30:21.4052296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.4052368Z x = self.conv_pwl(x) 2025-08-14T21:30:21.4052561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4052660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4052868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4052965Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4052971Z 2025-08-14T21:30:21.4053051Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4053146Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4053328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4053395Z return mod(*inputs) 2025-08-14T21:30:21.4053593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4053658Z x = self.forward_features(x) 2025-08-14T21:30:21.4053884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4053946Z x = self.blocks(x) 2025-08-14T21:30:21.4054162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.4054226Z x = self.conv_pwl(x) 2025-08-14T21:30:21.4054422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:30:21.4054643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4054873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:30:21.4054974Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:30:21.4054978Z 2025-08-14T21:30:21.4055063Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4055136Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4055241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4055432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4055494Z return mod(*inputs) 2025-08-14T21:30:21.4055710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4055780Z x = self.forward_features(x) 2025-08-14T21:30:21.4056049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4056131Z x = self.blocks(x) 2025-08-14T21:30:21.4056344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:30:21.4056417Z x = self.conv_pwl(x) 2025-08-14T21:30:21.4056612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:30:21.4056677Z x = torch.cat(x_out, 1) 2025-08-14T21:30:21.4056680Z 2025-08-14T21:30:21.4056785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4056973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4057035Z return mod(*inputs) 2025-08-14T21:30:21.4057249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4057320Z x = self.forward_features(x) 2025-08-14T21:30:21.4057550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:30:21.4057611Z x = self.blocks(x) 2025-08-14T21:30:21.4057824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:30:21.4057901Z x = self.drop_path(x) + shortcut 2025-08-14T21:30:21.4057905Z 2025-08-14T21:30:21.4058002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4058194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4058257Z return mod(*inputs) 2025-08-14T21:30:21.4058455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:30:21.4058529Z x = self.forward_features(x) 2025-08-14T21:30:21.4058749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-08-14T21:30:21.4058818Z x = self.conv_head(x) 2025-08-14T21:30:21.4058821Z 2025-08-14T21:30:21.4058905Z cudagraph partition due to non gpu ops 2025-08-14T21:30:21.4059000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4059192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4059255Z return mod(*inputs) 2025-08-14T21:30:21.4059453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:30:21.4059525Z x = self.forward_head(x) 2025-08-14T21:30:21.4059736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:30:21.4059801Z x = self.global_pool(x) 2025-08-14T21:30:21.4060026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:30:21.4060090Z x = self.pool(x) 2025-08-14T21:30:21.4060128Z 2025-08-14T21:30:21.4060232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:30:21.4060418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:30:21.4060480Z return mod(*inputs) 2025-08-14T21:30:21.4060686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:30:21.4060751Z x = self.forward_head(x) 2025-08-14T21:30:21.4060962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-08-14T21:30:21.4061064Z return x if pre_logits else self.classifier(x) 2025-08-14T21:30:21.4061068Z 2025-08-14T21:30:45.4473674Z Compilation time (from dynamo_timed): 53.544660046 2025-08-14T21:30:45.4478460Z pass 2025-08-14T21:30:45.4483100Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:30:45.4488162Z TIMING: _recursive_pre_grad_passes:0.01175 _recursive_joint_graph_passes:0.20291 _recursive_post_grad_passes:0.15596 async_compile.wait:0.90021 code_gen:22.69299 inductor_compile:28.39212 backend_compile:43.11224 gc:0.00095 entire_frame_compile:53.54466 total_wall_time:53.54466 2025-08-14T21:30:45.4489905Z STATS: call_* op count: 521 | FakeTensorMode.__torch_dispatch__:20148 | attempt fast:194 | fast is_contiguous:194 | FakeTensor.__torch_dispatch__:9684 | ProxyTorchDispatchMode.__torch_dispatch__:7333 2025-08-14T21:30:45.4490538Z Dynamo produced 1 graphs covering 521 ops with 0 graph breaks (0 unique) 2025-08-14T21:30:52.7232639Z 2025-08-14T21:30:52.8629672Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:30:52.8629952Z 2025-08-14T21:30:53.0316939Z model.safetensors: 0% 0.00/17.7M [00:00 2025-08-14T21:51:23.9509891Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9510052Z 2025-08-14T21:51:23.9510130Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9510363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9510698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9511008Z return mod(*inputs) 2025-08-14T21:51:23.9511330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9511658Z x = self.forward_features(x) 2025-08-14T21:51:23.9511990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9512329Z x = self.blocks(x) 2025-08-14T21:51:23.9512648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9512974Z x = self.conv_pw(x) 2025-08-14T21:51:23.9513296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9513651Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9514011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9514363Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9514519Z 2025-08-14T21:51:23.9514596Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9514804Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9515020Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9515358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9515664Z return mod(*inputs) 2025-08-14T21:51:23.9515974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9516296Z x = self.forward_features(x) 2025-08-14T21:51:23.9516635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9516983Z x = self.blocks(x) 2025-08-14T21:51:23.9517298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9517638Z x = self.conv_pw(x) 2025-08-14T21:51:23.9517937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9518265Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9518375Z 2025-08-14T21:51:23.9518475Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9518826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9519222Z return mod(*inputs) 2025-08-14T21:51:23.9519527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9519863Z x = self.forward_features(x) 2025-08-14T21:51:23.9520215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9520561Z x = self.blocks(x) 2025-08-14T21:51:23.9520876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9521217Z x = self.bn1(x) 2025-08-14T21:51:23.9521508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9521818Z x = self.act(x) 2025-08-14T21:51:23.9521915Z 2025-08-14T21:51:23.9522015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9522387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9522709Z return mod(*inputs) 2025-08-14T21:51:23.9523020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9523364Z x = self.forward_features(x) 2025-08-14T21:51:23.9523718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9524117Z x = self.blocks(x) 2025-08-14T21:51:23.9524442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9524792Z x = self.conv_dw(x) 2025-08-14T21:51:23.9525101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9525465Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9525846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9526246Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9526612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9526927Z return conv2d_same( 2025-08-14T21:51:23.9527237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9527606Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9527956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9528396Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9528782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9529128Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9529282Z 2025-08-14T21:51:23.9529387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9529739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9530052Z return mod(*inputs) 2025-08-14T21:51:23.9530357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9530696Z x = self.forward_features(x) 2025-08-14T21:51:23.9531045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9531398Z x = self.blocks(x) 2025-08-14T21:51:23.9531714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9532056Z x = self.conv_dw(x) 2025-08-14T21:51:23.9532380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9532789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9533159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9533527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9533888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9534310Z return conv2d_same( 2025-08-14T21:51:23.9534637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9535050Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9535232Z 2025-08-14T21:51:23.9535358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9535706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9536068Z return mod(*inputs) 2025-08-14T21:51:23.9536384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9536720Z x = self.forward_features(x) 2025-08-14T21:51:23.9537082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9537441Z x = self.blocks(x) 2025-08-14T21:51:23.9537779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9538129Z x = self.conv_dw(x) 2025-08-14T21:51:23.9538441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9538818Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9539193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9539577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9539962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9540298Z return conv2d_same( 2025-08-14T21:51:23.9540614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9540995Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9541356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9541763Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9542145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9542512Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9542670Z 2025-08-14T21:51:23.9542784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9543140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9543472Z return mod(*inputs) 2025-08-14T21:51:23.9543789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9544137Z x = self.forward_features(x) 2025-08-14T21:51:23.9544488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9544849Z x = self.blocks(x) 2025-08-14T21:51:23.9545183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9545528Z x = self.conv_dw(x) 2025-08-14T21:51:23.9545840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9546257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9546642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9547021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9547391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9547722Z return conv2d_same( 2025-08-14T21:51:23.9548036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9548446Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9548642Z 2025-08-14T21:51:23.9548744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9549094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9549437Z return mod(*inputs) 2025-08-14T21:51:23.9549752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9550102Z x = self.forward_features(x) 2025-08-14T21:51:23.9550451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9550795Z x = self.blocks(x) 2025-08-14T21:51:23.9551116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9551458Z x = self.conv_dw(x) 2025-08-14T21:51:23.9551751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9552111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9552481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9552865Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9553230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9553549Z return conv2d_same( 2025-08-14T21:51:23.9553858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9554216Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9554563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9555046Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9555435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9555771Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9555930Z 2025-08-14T21:51:23.9556033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9556395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9556723Z return mod(*inputs) 2025-08-14T21:51:23.9557027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9557363Z x = self.forward_features(x) 2025-08-14T21:51:23.9557714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9558059Z x = self.blocks(x) 2025-08-14T21:51:23.9558390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9558724Z x = self.conv_dw(x) 2025-08-14T21:51:23.9559015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9559362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9559765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9560132Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9560476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9560801Z return conv2d_same( 2025-08-14T21:51:23.9561107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9561491Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9561662Z 2025-08-14T21:51:23.9561741Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9561949Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9562152Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9562369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9562731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9563039Z return mod(*inputs) 2025-08-14T21:51:23.9563342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9563664Z x = self.forward_features(x) 2025-08-14T21:51:23.9564003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9564347Z x = self.blocks(x) 2025-08-14T21:51:23.9564653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9564991Z x = self.conv_dw(x) 2025-08-14T21:51:23.9565287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9565607Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9565718Z 2025-08-14T21:51:23.9565820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9566186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9566507Z return mod(*inputs) 2025-08-14T21:51:23.9566809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9567146Z x = self.forward_features(x) 2025-08-14T21:51:23.9567495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9567843Z x = self.blocks(x) 2025-08-14T21:51:23.9568158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:51:23.9568496Z x = self.bn2(x) 2025-08-14T21:51:23.9568791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9569099Z x = self.act(x) 2025-08-14T21:51:23.9569199Z 2025-08-14T21:51:23.9569300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9569652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9569972Z return mod(*inputs) 2025-08-14T21:51:23.9570277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9570625Z x = self.forward_features(x) 2025-08-14T21:51:23.9570990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9571338Z x = self.blocks(x) 2025-08-14T21:51:23.9571669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9572024Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9572346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9572762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9573150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9573568Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9573737Z 2025-08-14T21:51:23.9573856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9574311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9574660Z return mod(*inputs) 2025-08-14T21:51:23.9574998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9575360Z x = self.forward_features(x) 2025-08-14T21:51:23.9575708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9576107Z x = self.blocks(x) 2025-08-14T21:51:23.9576463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9576836Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9577180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9577581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9577981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9578384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9578557Z 2025-08-14T21:51:23.9578643Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9578874Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9579120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9579498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9579848Z return mod(*inputs) 2025-08-14T21:51:23.9580198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9580565Z x = self.forward_features(x) 2025-08-14T21:51:23.9580941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9581322Z x = self.blocks(x) 2025-08-14T21:51:23.9581662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9582039Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9582372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9582751Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9582877Z 2025-08-14T21:51:23.9582986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9583360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9583676Z return mod(*inputs) 2025-08-14T21:51:23.9583979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9584314Z x = self.forward_features(x) 2025-08-14T21:51:23.9584662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9585006Z x = self.blocks(x) 2025-08-14T21:51:23.9585346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:51:23.9585688Z x = self.bn3(x) 2025-08-14T21:51:23.9585976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9586287Z x = F.batch_norm( 2025-08-14T21:51:23.9586389Z 2025-08-14T21:51:23.9586490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9586895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9587201Z return mod(*inputs) 2025-08-14T21:51:23.9587508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9587843Z x = self.forward_features(x) 2025-08-14T21:51:23.9588190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9588532Z x = self.blocks(x) 2025-08-14T21:51:23.9588852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9589191Z x = self.conv_pw(x) 2025-08-14T21:51:23.9589492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9589861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9590253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9590626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9590780Z 2025-08-14T21:51:23.9590882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9591232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9591586Z return mod(*inputs) 2025-08-14T21:51:23.9591895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9592224Z x = self.forward_features(x) 2025-08-14T21:51:23.9592574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9592924Z x = self.blocks(x) 2025-08-14T21:51:23.9593239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9593598Z x = self.conv_pw(x) 2025-08-14T21:51:23.9593920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9594280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9594643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9595021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9595168Z 2025-08-14T21:51:23.9595253Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9595454Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9595681Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9596020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9596327Z return mod(*inputs) 2025-08-14T21:51:23.9596626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9596955Z x = self.forward_features(x) 2025-08-14T21:51:23.9597297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9597627Z x = self.blocks(x) 2025-08-14T21:51:23.9597941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9598273Z x = self.conv_pw(x) 2025-08-14T21:51:23.9598577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9598889Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9599000Z 2025-08-14T21:51:23.9599096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9599436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9599735Z return mod(*inputs) 2025-08-14T21:51:23.9600071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9600602Z x = self.forward_features(x) 2025-08-14T21:51:23.9600954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9601300Z x = self.blocks(x) 2025-08-14T21:51:23.9601616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9601948Z x = self.bn1(x) 2025-08-14T21:51:23.9602227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9602535Z x = self.act(x) 2025-08-14T21:51:23.9602631Z 2025-08-14T21:51:23.9602728Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9603073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9603416Z return mod(*inputs) 2025-08-14T21:51:23.9603716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9604044Z x = self.forward_features(x) 2025-08-14T21:51:23.9604374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9604718Z x = self.blocks(x) 2025-08-14T21:51:23.9605034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9605367Z x = self.conv_dw(x) 2025-08-14T21:51:23.9605461Z 2025-08-14T21:51:23.9605560Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9605903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9606212Z return mod(*inputs) 2025-08-14T21:51:23.9606505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9606857Z x = self.forward_features(x) 2025-08-14T21:51:23.9607207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9607547Z x = self.blocks(x) 2025-08-14T21:51:23.9607853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:51:23.9608180Z x = self.bn2(x) 2025-08-14T21:51:23.9608460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9608755Z x = self.act(x) 2025-08-14T21:51:23.9608849Z 2025-08-14T21:51:23.9608943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9609280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9609584Z return mod(*inputs) 2025-08-14T21:51:23.9609881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9610207Z x = self.forward_features(x) 2025-08-14T21:51:23.9610544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9610877Z x = self.blocks(x) 2025-08-14T21:51:23.9611187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9611523Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9611822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9612173Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9612536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9612898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9613103Z 2025-08-14T21:51:23.9613212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9613551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9613871Z return mod(*inputs) 2025-08-14T21:51:23.9614236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9614584Z x = self.forward_features(x) 2025-08-14T21:51:23.9614943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9615309Z x = self.blocks(x) 2025-08-14T21:51:23.9615621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9615960Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9616282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9616678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9617053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9617434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9617597Z 2025-08-14T21:51:23.9617679Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9617896Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9618128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9618486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9618816Z return mod(*inputs) 2025-08-14T21:51:23.9619128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9619474Z x = self.forward_features(x) 2025-08-14T21:51:23.9619834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9620222Z x = self.blocks(x) 2025-08-14T21:51:23.9620557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9621016Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9621344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9621681Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9621805Z 2025-08-14T21:51:23.9621909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9622276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9622601Z return mod(*inputs) 2025-08-14T21:51:23.9622920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9623279Z x = self.forward_features(x) 2025-08-14T21:51:23.9623645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9624003Z x = self.blocks(x) 2025-08-14T21:51:23.9624346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:23.9624717Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:23.9624850Z 2025-08-14T21:51:23.9624966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9625285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9625585Z return mod(*inputs) 2025-08-14T21:51:23.9625879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9626190Z x = self.forward_features(x) 2025-08-14T21:51:23.9626543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9626893Z x = self.blocks(x) 2025-08-14T21:51:23.9627200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9627523Z x = self.conv_pw(x) 2025-08-14T21:51:23.9627624Z 2025-08-14T21:51:23.9627718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9628047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9628337Z return mod(*inputs) 2025-08-14T21:51:23.9628632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9628951Z x = self.forward_features(x) 2025-08-14T21:51:23.9629281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9629618Z x = self.blocks(x) 2025-08-14T21:51:23.9629925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9630247Z x = self.bn1(x) 2025-08-14T21:51:23.9630520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9630822Z x = F.batch_norm( 2025-08-14T21:51:23.9630918Z 2025-08-14T21:51:23.9631012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9631343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9631633Z return mod(*inputs) 2025-08-14T21:51:23.9631929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9632248Z x = self.forward_features(x) 2025-08-14T21:51:23.9632569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9632904Z x = self.blocks(x) 2025-08-14T21:51:23.9633227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9633550Z x = self.bn1(x) 2025-08-14T21:51:23.9633821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9634120Z x = self.act(x) 2025-08-14T21:51:23.9634205Z 2025-08-14T21:51:23.9634306Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9634633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9635461Z return mod(*inputs) 2025-08-14T21:51:23.9635759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9636083Z x = self.forward_features(x) 2025-08-14T21:51:23.9636411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9636745Z x = self.blocks(x) 2025-08-14T21:51:23.9637052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9637374Z x = self.conv_dw(x) 2025-08-14T21:51:23.9637656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9638004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9638358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9638703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9639044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9639351Z return conv2d_same( 2025-08-14T21:51:23.9639679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9640041Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9640379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9640756Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9641116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9641444Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9641594Z 2025-08-14T21:51:23.9641688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9642017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9642307Z return mod(*inputs) 2025-08-14T21:51:23.9642600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9642946Z x = self.forward_features(x) 2025-08-14T21:51:23.9643277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9643604Z x = self.blocks(x) 2025-08-14T21:51:23.9643910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9644233Z x = self.conv_dw(x) 2025-08-14T21:51:23.9644512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9644855Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9645205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9645555Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9645891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9646201Z return conv2d_same( 2025-08-14T21:51:23.9646515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9646889Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9647067Z 2025-08-14T21:51:23.9647164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9647493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9647792Z return mod(*inputs) 2025-08-14T21:51:23.9648079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9648397Z x = self.forward_features(x) 2025-08-14T21:51:23.9648730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9649057Z x = self.blocks(x) 2025-08-14T21:51:23.9649366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9649694Z x = self.conv_dw(x) 2025-08-14T21:51:23.9649981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9650320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9650672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9651024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9651363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9651664Z return conv2d_same( 2025-08-14T21:51:23.9651961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9652344Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9652675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9653051Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9653414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9653744Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9653898Z 2025-08-14T21:51:23.9654000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9654428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9654760Z return mod(*inputs) 2025-08-14T21:51:23.9655092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9655440Z x = self.forward_features(x) 2025-08-14T21:51:23.9655781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9656118Z x = self.blocks(x) 2025-08-14T21:51:23.9656423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9656752Z x = self.conv_dw(x) 2025-08-14T21:51:23.9657047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9657388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9657745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9658095Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9658433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9658738Z return conv2d_same( 2025-08-14T21:51:23.9659050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9659425Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9659593Z 2025-08-14T21:51:23.9659693Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9660020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9660319Z return mod(*inputs) 2025-08-14T21:51:23.9660612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9660926Z x = self.forward_features(x) 2025-08-14T21:51:23.9661258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9661593Z x = self.blocks(x) 2025-08-14T21:51:23.9661903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9662222Z x = self.conv_dw(x) 2025-08-14T21:51:23.9662511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9662856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9663201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9663553Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9663895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9664204Z return conv2d_same( 2025-08-14T21:51:23.9664494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9664861Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9665217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9665586Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9665948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9666273Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9666412Z 2025-08-14T21:51:23.9666515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9666851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9667152Z return mod(*inputs) 2025-08-14T21:51:23.9667452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9667795Z x = self.forward_features(x) 2025-08-14T21:51:23.9668123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9668458Z x = self.blocks(x) 2025-08-14T21:51:23.9668768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9669086Z x = self.conv_dw(x) 2025-08-14T21:51:23.9669375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9669722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9670074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9670417Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9670756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9671062Z return conv2d_same( 2025-08-14T21:51:23.9671370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9671747Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9671920Z 2025-08-14T21:51:23.9672016Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9672348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9672639Z return mod(*inputs) 2025-08-14T21:51:23.9672934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9673256Z x = self.forward_features(x) 2025-08-14T21:51:23.9673580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9673913Z x = self.blocks(x) 2025-08-14T21:51:23.9674226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9674553Z x = self.conv_dw(x) 2025-08-14T21:51:23.9674835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9675181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9675534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9675883Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9676213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9676518Z return conv2d_same( 2025-08-14T21:51:23.9676817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9677157Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9677529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9677899Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9678260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9678577Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9678726Z 2025-08-14T21:51:23.9678821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9679153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9679449Z return mod(*inputs) 2025-08-14T21:51:23.9679742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9680065Z x = self.forward_features(x) 2025-08-14T21:51:23.9680410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9680738Z x = self.blocks(x) 2025-08-14T21:51:23.9681043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9681371Z x = self.conv_dw(x) 2025-08-14T21:51:23.9681655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9682000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9682349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9682703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9683033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9683339Z return conv2d_same( 2025-08-14T21:51:23.9683639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9684044Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9684211Z 2025-08-14T21:51:23.9684293Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9684504Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9684709Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9684903Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9685128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9685469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9685771Z return mod(*inputs) 2025-08-14T21:51:23.9686074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9686402Z x = self.forward_features(x) 2025-08-14T21:51:23.9686745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9687077Z x = self.blocks(x) 2025-08-14T21:51:23.9687391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9687723Z x = self.conv_dw(x) 2025-08-14T21:51:23.9688010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9688328Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9688440Z 2025-08-14T21:51:23.9688539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9688879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9689177Z return mod(*inputs) 2025-08-14T21:51:23.9689481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9689808Z x = self.forward_features(x) 2025-08-14T21:51:23.9690168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9690499Z x = self.blocks(x) 2025-08-14T21:51:23.9690807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:51:23.9691131Z x = self.bn2(x) 2025-08-14T21:51:23.9691403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9691705Z x = F.batch_norm( 2025-08-14T21:51:23.9691796Z 2025-08-14T21:51:23.9691899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9692222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9692520Z return mod(*inputs) 2025-08-14T21:51:23.9692815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9693151Z x = self.forward_features(x) 2025-08-14T21:51:23.9693474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9693807Z x = self.blocks(x) 2025-08-14T21:51:23.9694228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:51:23.9694567Z x = self.bn2(x) 2025-08-14T21:51:23.9694857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9695215Z x = self.act(x) 2025-08-14T21:51:23.9695302Z 2025-08-14T21:51:23.9695408Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9695738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9696045Z return mod(*inputs) 2025-08-14T21:51:23.9696349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9696668Z x = self.forward_features(x) 2025-08-14T21:51:23.9697031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9697373Z x = self.blocks(x) 2025-08-14T21:51:23.9697689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9698014Z x = self.se(x) 2025-08-14T21:51:23.9698325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:23.9698667Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:23.9698786Z 2025-08-14T21:51:23.9698883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9699221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9699526Z return mod(*inputs) 2025-08-14T21:51:23.9699827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9700152Z x = self.forward_features(x) 2025-08-14T21:51:23.9700664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9701015Z x = self.blocks(x) 2025-08-14T21:51:23.9701323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9701658Z x = self.se(x) 2025-08-14T21:51:23.9701966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:23.9702305Z x_se = self.act1(x_se) 2025-08-14T21:51:23.9702411Z 2025-08-14T21:51:23.9702509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9702852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9703253Z return mod(*inputs) 2025-08-14T21:51:23.9703556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9703879Z x = self.forward_features(x) 2025-08-14T21:51:23.9704214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9704558Z x = self.blocks(x) 2025-08-14T21:51:23.9704864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9705197Z x = self.se(x) 2025-08-14T21:51:23.9705503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:23.9705848Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:23.9705966Z 2025-08-14T21:51:23.9706063Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9706433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9706745Z return mod(*inputs) 2025-08-14T21:51:23.9707049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9707384Z x = self.forward_features(x) 2025-08-14T21:51:23.9707727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9708072Z x = self.blocks(x) 2025-08-14T21:51:23.9708385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9708730Z x = self.se(x) 2025-08-14T21:51:23.9709031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9709364Z return x * self.gate(x_se) 2025-08-14T21:51:23.9709486Z 2025-08-14T21:51:23.9709585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9709931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9710255Z return mod(*inputs) 2025-08-14T21:51:23.9710543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9710864Z x = self.forward_features(x) 2025-08-14T21:51:23.9711191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9711517Z x = self.blocks(x) 2025-08-14T21:51:23.9711826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9712149Z x = self.se(x) 2025-08-14T21:51:23.9712443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9712768Z return x * self.gate(x_se) 2025-08-14T21:51:23.9712886Z 2025-08-14T21:51:23.9712983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9713321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9713610Z return mod(*inputs) 2025-08-14T21:51:23.9713905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9714224Z x = self.forward_features(x) 2025-08-14T21:51:23.9714553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9714879Z x = self.blocks(x) 2025-08-14T21:51:23.9715186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9715514Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9715614Z 2025-08-14T21:51:23.9715708Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9716057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9716373Z return mod(*inputs) 2025-08-14T21:51:23.9716668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9716984Z x = self.forward_features(x) 2025-08-14T21:51:23.9717313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9717647Z x = self.blocks(x) 2025-08-14T21:51:23.9717944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:51:23.9718267Z x = self.bn3(x) 2025-08-14T21:51:23.9718543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9718843Z x = F.batch_norm( 2025-08-14T21:51:23.9718931Z 2025-08-14T21:51:23.9719041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9719377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9719678Z return mod(*inputs) 2025-08-14T21:51:23.9719965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9720283Z x = self.forward_features(x) 2025-08-14T21:51:23.9720613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9720944Z x = self.blocks(x) 2025-08-14T21:51:23.9721242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9721570Z x = self.conv_pw(x) 2025-08-14T21:51:23.9721862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9722207Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9722570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9722945Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9723094Z 2025-08-14T21:51:23.9723196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9723520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9723822Z return mod(*inputs) 2025-08-14T21:51:23.9724118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9724444Z x = self.forward_features(x) 2025-08-14T21:51:23.9724768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9725101Z x = self.blocks(x) 2025-08-14T21:51:23.9725411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9725733Z x = self.conv_pw(x) 2025-08-14T21:51:23.9726033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9726380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9726733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9727078Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9727231Z 2025-08-14T21:51:23.9727308Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9727510Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9727726Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9728061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9728360Z return mod(*inputs) 2025-08-14T21:51:23.9728672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9729024Z x = self.forward_features(x) 2025-08-14T21:51:23.9729355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9729686Z x = self.blocks(x) 2025-08-14T21:51:23.9729989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9730317Z x = self.conv_pw(x) 2025-08-14T21:51:23.9730610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9730925Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9731028Z 2025-08-14T21:51:23.9731121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9731456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9731789Z return mod(*inputs) 2025-08-14T21:51:23.9732087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9732411Z x = self.forward_features(x) 2025-08-14T21:51:23.9732746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9733083Z x = self.blocks(x) 2025-08-14T21:51:23.9733384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9733713Z x = self.bn1(x) 2025-08-14T21:51:23.9733998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9734363Z x = F.batch_norm( 2025-08-14T21:51:23.9734466Z 2025-08-14T21:51:23.9734564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9734912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9735231Z return mod(*inputs) 2025-08-14T21:51:23.9735555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9735879Z x = self.forward_features(x) 2025-08-14T21:51:23.9736212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9736546Z x = self.blocks(x) 2025-08-14T21:51:23.9736862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9737194Z x = self.bn1(x) 2025-08-14T21:51:23.9737482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9737784Z x = self.act(x) 2025-08-14T21:51:23.9737879Z 2025-08-14T21:51:23.9737956Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9738186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9738525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9738836Z return mod(*inputs) 2025-08-14T21:51:23.9739138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9739469Z x = self.forward_features(x) 2025-08-14T21:51:23.9739802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9740143Z x = self.blocks(x) 2025-08-14T21:51:23.9740456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9740782Z x = self.conv_dw(x) 2025-08-14T21:51:23.9741077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9741435Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9741853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9742212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9742368Z 2025-08-14T21:51:23.9742443Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9742670Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9743002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9743310Z return mod(*inputs) 2025-08-14T21:51:23.9743614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9743938Z x = self.forward_features(x) 2025-08-14T21:51:23.9744268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9744636Z x = self.blocks(x) 2025-08-14T21:51:23.9744951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9745283Z x = self.conv_dw(x) 2025-08-14T21:51:23.9745586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9745943Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9746307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9746660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9746815Z 2025-08-14T21:51:23.9746892Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9747097Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9747316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9747656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9747970Z return mod(*inputs) 2025-08-14T21:51:23.9748288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9748617Z x = self.forward_features(x) 2025-08-14T21:51:23.9748951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9749279Z x = self.blocks(x) 2025-08-14T21:51:23.9749578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9749904Z x = self.conv_dw(x) 2025-08-14T21:51:23.9750190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9750502Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9750604Z 2025-08-14T21:51:23.9750678Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9750901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9751234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9751527Z return mod(*inputs) 2025-08-14T21:51:23.9751825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9752144Z x = self.forward_features(x) 2025-08-14T21:51:23.9752475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9752799Z x = self.blocks(x) 2025-08-14T21:51:23.9753105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9753429Z x = self.se(x) 2025-08-14T21:51:23.9753718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:23.9754053Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:23.9754184Z 2025-08-14T21:51:23.9754314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9754651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9754943Z return mod(*inputs) 2025-08-14T21:51:23.9755243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9755564Z x = self.forward_features(x) 2025-08-14T21:51:23.9755889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9756221Z x = self.blocks(x) 2025-08-14T21:51:23.9756529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9756855Z x = self.se(x) 2025-08-14T21:51:23.9757146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:23.9757501Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:23.9757620Z 2025-08-14T21:51:23.9757724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9758050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9758349Z return mod(*inputs) 2025-08-14T21:51:23.9758643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9758967Z x = self.forward_features(x) 2025-08-14T21:51:23.9759289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9759622Z x = self.blocks(x) 2025-08-14T21:51:23.9759929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9760244Z x = self.se(x) 2025-08-14T21:51:23.9760538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:23.9760870Z x_se = self.act1(x_se) 2025-08-14T21:51:23.9760973Z 2025-08-14T21:51:23.9761090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9761415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9761712Z return mod(*inputs) 2025-08-14T21:51:23.9762008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9762327Z x = self.forward_features(x) 2025-08-14T21:51:23.9762646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9762976Z x = self.blocks(x) 2025-08-14T21:51:23.9763279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9763593Z x = self.se(x) 2025-08-14T21:51:23.9763889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:23.9764225Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:23.9764340Z 2025-08-14T21:51:23.9764443Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9764768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9765066Z return mod(*inputs) 2025-08-14T21:51:23.9765363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9765676Z x = self.forward_features(x) 2025-08-14T21:51:23.9766004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9766335Z x = self.blocks(x) 2025-08-14T21:51:23.9766639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9766990Z x = self.se(x) 2025-08-14T21:51:23.9767288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9767622Z return x * self.gate(x_se) 2025-08-14T21:51:23.9767730Z 2025-08-14T21:51:23.9767826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9768158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9768456Z return mod(*inputs) 2025-08-14T21:51:23.9768748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9769063Z x = self.forward_features(x) 2025-08-14T21:51:23.9769390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9769720Z x = self.blocks(x) 2025-08-14T21:51:23.9770036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9770365Z x = self.se(x) 2025-08-14T21:51:23.9770662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9770991Z return x * self.gate(x_se) 2025-08-14T21:51:23.9771099Z 2025-08-14T21:51:23.9771176Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9771399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9771730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9772023Z return mod(*inputs) 2025-08-14T21:51:23.9772316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9772636Z x = self.forward_features(x) 2025-08-14T21:51:23.9772968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9773296Z x = self.blocks(x) 2025-08-14T21:51:23.9773620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9773957Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9774328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9774705Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9775078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9775452Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9775598Z 2025-08-14T21:51:23.9775672Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9775898Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9776269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9776578Z return mod(*inputs) 2025-08-14T21:51:23.9776889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9777224Z x = self.forward_features(x) 2025-08-14T21:51:23.9777566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9777904Z x = self.blocks(x) 2025-08-14T21:51:23.9778222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9778564Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9778865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9779221Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9779588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9780007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9780158Z 2025-08-14T21:51:23.9780236Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9780442Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9780669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9781003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9781308Z return mod(*inputs) 2025-08-14T21:51:23.9781610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9781938Z x = self.forward_features(x) 2025-08-14T21:51:23.9782266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9782606Z x = self.blocks(x) 2025-08-14T21:51:23.9782920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9783271Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9783577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9783905Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9784011Z 2025-08-14T21:51:23.9784116Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9784453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9784763Z return mod(*inputs) 2025-08-14T21:51:23.9785068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9785391Z x = self.forward_features(x) 2025-08-14T21:51:23.9785734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9786077Z x = self.blocks(x) 2025-08-14T21:51:23.9786388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:23.9786746Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:23.9786878Z 2025-08-14T21:51:23.9786978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9787324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9787633Z return mod(*inputs) 2025-08-14T21:51:23.9787929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9788263Z x = self.forward_features(x) 2025-08-14T21:51:23.9788603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9788943Z x = self.blocks(x) 2025-08-14T21:51:23.9789254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9789589Z x = self.conv_pw(x) 2025-08-14T21:51:23.9789873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9790220Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9790576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9790929Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9791076Z 2025-08-14T21:51:23.9791172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9791507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9791811Z return mod(*inputs) 2025-08-14T21:51:23.9792106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9792424Z x = self.forward_features(x) 2025-08-14T21:51:23.9792797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9793132Z x = self.blocks(x) 2025-08-14T21:51:23.9793431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9793757Z x = self.conv_pw(x) 2025-08-14T21:51:23.9794047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9794395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9794743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9795099Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9795245Z 2025-08-14T21:51:23.9795328Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9795538Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9795764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9796097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9796400Z return mod(*inputs) 2025-08-14T21:51:23.9796686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9797007Z x = self.forward_features(x) 2025-08-14T21:51:23.9797340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9797665Z x = self.blocks(x) 2025-08-14T21:51:23.9797971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9798296Z x = self.conv_pw(x) 2025-08-14T21:51:23.9798584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9798890Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9799005Z 2025-08-14T21:51:23.9799120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9799453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9799740Z return mod(*inputs) 2025-08-14T21:51:23.9800035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9800503Z x = self.forward_features(x) 2025-08-14T21:51:23.9800849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9801179Z x = self.blocks(x) 2025-08-14T21:51:23.9801491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9801822Z x = self.bn1(x) 2025-08-14T21:51:23.9802093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9802406Z x = F.batch_norm( 2025-08-14T21:51:23.9802508Z 2025-08-14T21:51:23.9802605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9802940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9803238Z return mod(*inputs) 2025-08-14T21:51:23.9803536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9803855Z x = self.forward_features(x) 2025-08-14T21:51:23.9804179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9804512Z x = self.blocks(x) 2025-08-14T21:51:23.9804819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9805142Z x = self.bn1(x) 2025-08-14T21:51:23.9805453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9805773Z x = self.act(x) 2025-08-14T21:51:23.9805861Z 2025-08-14T21:51:23.9805943Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9806156Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9806488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9806787Z return mod(*inputs) 2025-08-14T21:51:23.9807084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9807401Z x = self.forward_features(x) 2025-08-14T21:51:23.9807733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9808070Z x = self.blocks(x) 2025-08-14T21:51:23.9808369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9808718Z x = self.conv_dw(x) 2025-08-14T21:51:23.9809010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9809361Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9809707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9810063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9810212Z 2025-08-14T21:51:23.9810295Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9810512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9810842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9810912Z return mod(*inputs) 2025-08-14T21:51:23.9811112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9811183Z x = self.forward_features(x) 2025-08-14T21:51:23.9811439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9811501Z x = self.blocks(x) 2025-08-14T21:51:23.9811712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9811781Z x = self.conv_dw(x) 2025-08-14T21:51:23.9811971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9812072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9812270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9812365Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9812370Z 2025-08-14T21:51:23.9812454Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9812530Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9812629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9812820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9812883Z return mod(*inputs) 2025-08-14T21:51:23.9813089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9813154Z x = self.forward_features(x) 2025-08-14T21:51:23.9813371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9813436Z x = self.blocks(x) 2025-08-14T21:51:23.9813648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9813716Z x = self.conv_dw(x) 2025-08-14T21:51:23.9813922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9814005Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9814054Z 2025-08-14T21:51:23.9814146Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9814246Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9814432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9814501Z return mod(*inputs) 2025-08-14T21:51:23.9814708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9814784Z x = self.forward_features(x) 2025-08-14T21:51:23.9815006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9815067Z x = self.blocks(x) 2025-08-14T21:51:23.9815288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9815367Z x = self.se(x) 2025-08-14T21:51:23.9815579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:23.9815661Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:23.9815668Z 2025-08-14T21:51:23.9815765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9815957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9816018Z return mod(*inputs) 2025-08-14T21:51:23.9816214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9816286Z x = self.forward_features(x) 2025-08-14T21:51:23.9816502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9816562Z x = self.blocks(x) 2025-08-14T21:51:23.9816781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9816840Z x = self.se(x) 2025-08-14T21:51:23.9817076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:23.9817145Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:23.9817148Z 2025-08-14T21:51:23.9817241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9817426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9817485Z return mod(*inputs) 2025-08-14T21:51:23.9817682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9817753Z x = self.forward_features(x) 2025-08-14T21:51:23.9817966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9818034Z x = self.blocks(x) 2025-08-14T21:51:23.9818249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9818304Z x = self.se(x) 2025-08-14T21:51:23.9818520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:23.9818584Z x_se = self.act1(x_se) 2025-08-14T21:51:23.9818588Z 2025-08-14T21:51:23.9818688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9818869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9818928Z return mod(*inputs) 2025-08-14T21:51:23.9819131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9819196Z x = self.forward_features(x) 2025-08-14T21:51:23.9819412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9819518Z x = self.blocks(x) 2025-08-14T21:51:23.9819727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9819791Z x = self.se(x) 2025-08-14T21:51:23.9819994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:23.9820063Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:23.9820067Z 2025-08-14T21:51:23.9820167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9820347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9820406Z return mod(*inputs) 2025-08-14T21:51:23.9820613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9820677Z x = self.forward_features(x) 2025-08-14T21:51:23.9820917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9820978Z x = self.blocks(x) 2025-08-14T21:51:23.9821185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9821249Z x = self.se(x) 2025-08-14T21:51:23.9821452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9821517Z return x * self.gate(x_se) 2025-08-14T21:51:23.9821521Z 2025-08-14T21:51:23.9821619Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9821799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9821865Z return mod(*inputs) 2025-08-14T21:51:23.9822061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9822127Z x = self.forward_features(x) 2025-08-14T21:51:23.9822365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9822425Z x = self.blocks(x) 2025-08-14T21:51:23.9822632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9822696Z x = self.se(x) 2025-08-14T21:51:23.9822901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9822975Z return x * self.gate(x_se) 2025-08-14T21:51:23.9822979Z 2025-08-14T21:51:23.9823053Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9823148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9823338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9823399Z return mod(*inputs) 2025-08-14T21:51:23.9823597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9823671Z x = self.forward_features(x) 2025-08-14T21:51:23.9823886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9823954Z x = self.blocks(x) 2025-08-14T21:51:23.9824160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9824222Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9824421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9824521Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9824727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9824822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9824842Z 2025-08-14T21:51:23.9824961Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9825066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9825247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9825308Z return mod(*inputs) 2025-08-14T21:51:23.9825510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9825576Z x = self.forward_features(x) 2025-08-14T21:51:23.9825801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9825859Z x = self.blocks(x) 2025-08-14T21:51:23.9826067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9826139Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9826348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9826446Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9826653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9826749Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9826752Z 2025-08-14T21:51:23.9826832Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9826902Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9826994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9827182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9827243Z return mod(*inputs) 2025-08-14T21:51:23.9827439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9827515Z x = self.forward_features(x) 2025-08-14T21:51:23.9827751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9827818Z x = self.blocks(x) 2025-08-14T21:51:23.9828028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9828090Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9828290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9828353Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9828356Z 2025-08-14T21:51:23.9828459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9828641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9828703Z return mod(*inputs) 2025-08-14T21:51:23.9828908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9828978Z x = self.forward_features(x) 2025-08-14T21:51:23.9829198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9829266Z x = self.blocks(x) 2025-08-14T21:51:23.9829475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:23.9829551Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:23.9829554Z 2025-08-14T21:51:23.9829648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9829829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9829895Z return mod(*inputs) 2025-08-14T21:51:23.9830092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9830156Z x = self.forward_features(x) 2025-08-14T21:51:23.9830400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9830473Z x = self.blocks(x) 2025-08-14T21:51:23.9830692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9830751Z x = self.conv_pw(x) 2025-08-14T21:51:23.9830945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9831047Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9831251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9831346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9831355Z 2025-08-14T21:51:23.9831450Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9831631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9831719Z return mod(*inputs) 2025-08-14T21:51:23.9831912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9831977Z x = self.forward_features(x) 2025-08-14T21:51:23.9832195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9832254Z x = self.blocks(x) 2025-08-14T21:51:23.9832468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9832528Z x = self.conv_pw(x) 2025-08-14T21:51:23.9832718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9832820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9833021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9833117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9833135Z 2025-08-14T21:51:23.9833220Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9833293Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9833393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9833572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9833632Z return mod(*inputs) 2025-08-14T21:51:23.9833833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9833898Z x = self.forward_features(x) 2025-08-14T21:51:23.9834113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9834180Z x = self.blocks(x) 2025-08-14T21:51:23.9834389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9834457Z x = self.conv_pw(x) 2025-08-14T21:51:23.9834649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9834713Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9834716Z 2025-08-14T21:51:23.9834819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9834998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9835059Z return mod(*inputs) 2025-08-14T21:51:23.9835264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9835329Z x = self.forward_features(x) 2025-08-14T21:51:23.9835550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9835610Z x = self.blocks(x) 2025-08-14T21:51:23.9835852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9835920Z x = self.bn1(x) 2025-08-14T21:51:23.9836105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9836165Z x = F.batch_norm( 2025-08-14T21:51:23.9836175Z 2025-08-14T21:51:23.9836269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9836451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9836519Z return mod(*inputs) 2025-08-14T21:51:23.9836713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9836778Z x = self.forward_features(x) 2025-08-14T21:51:23.9837001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9837080Z x = self.blocks(x) 2025-08-14T21:51:23.9837305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9837362Z x = self.bn1(x) 2025-08-14T21:51:23.9837548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9837611Z x = self.act(x) 2025-08-14T21:51:23.9837614Z 2025-08-14T21:51:23.9837687Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9837783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9837970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9838030Z return mod(*inputs) 2025-08-14T21:51:23.9838233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9838298Z x = self.forward_features(x) 2025-08-14T21:51:23.9838518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9838608Z x = self.blocks(x) 2025-08-14T21:51:23.9838818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9838878Z x = self.conv_dw(x) 2025-08-14T21:51:23.9839074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9839170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9839375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9839473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9839476Z 2025-08-14T21:51:23.9839550Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9839651Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9839836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9839898Z return mod(*inputs) 2025-08-14T21:51:23.9840101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9840168Z x = self.forward_features(x) 2025-08-14T21:51:23.9840389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9840448Z x = self.blocks(x) 2025-08-14T21:51:23.9840657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9840724Z x = self.conv_dw(x) 2025-08-14T21:51:23.9840912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9841007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9841246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9841343Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9841346Z 2025-08-14T21:51:23.9841427Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9841501Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9841594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9841781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9841840Z return mod(*inputs) 2025-08-14T21:51:23.9842033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9842105Z x = self.forward_features(x) 2025-08-14T21:51:23.9842319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9842404Z x = self.blocks(x) 2025-08-14T21:51:23.9842618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9842677Z x = self.conv_dw(x) 2025-08-14T21:51:23.9842873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9842934Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9842938Z 2025-08-14T21:51:23.9843019Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9843112Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9843294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9843360Z return mod(*inputs) 2025-08-14T21:51:23.9843554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9843617Z x = self.forward_features(x) 2025-08-14T21:51:23.9843843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9843928Z x = self.blocks(x) 2025-08-14T21:51:23.9844146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9844202Z x = self.se(x) 2025-08-14T21:51:23.9844410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:23.9844488Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:23.9844491Z 2025-08-14T21:51:23.9844585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9844767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9844833Z return mod(*inputs) 2025-08-14T21:51:23.9845027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9845099Z x = self.forward_features(x) 2025-08-14T21:51:23.9845321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9845380Z x = self.blocks(x) 2025-08-14T21:51:23.9845594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9845649Z x = self.se(x) 2025-08-14T21:51:23.9845853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:23.9845930Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:23.9845933Z 2025-08-14T21:51:23.9846030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9846216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9846278Z return mod(*inputs) 2025-08-14T21:51:23.9846490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9846582Z x = self.forward_features(x) 2025-08-14T21:51:23.9846800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9846860Z x = self.blocks(x) 2025-08-14T21:51:23.9847078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9847134Z x = self.se(x) 2025-08-14T21:51:23.9847347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:23.9847412Z x_se = self.act1(x_se) 2025-08-14T21:51:23.9847415Z 2025-08-14T21:51:23.9847512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9847702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9847782Z return mod(*inputs) 2025-08-14T21:51:23.9847985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9848053Z x = self.forward_features(x) 2025-08-14T21:51:23.9848267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9848334Z x = self.blocks(x) 2025-08-14T21:51:23.9848540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9848595Z x = self.se(x) 2025-08-14T21:51:23.9848806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:23.9848873Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:23.9848876Z 2025-08-14T21:51:23.9848978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9849160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9849224Z return mod(*inputs) 2025-08-14T21:51:23.9849441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9849507Z x = self.forward_features(x) 2025-08-14T21:51:23.9849722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9849789Z x = self.blocks(x) 2025-08-14T21:51:23.9849995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9850059Z x = self.se(x) 2025-08-14T21:51:23.9850265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9850330Z return x * self.gate(x_se) 2025-08-14T21:51:23.9850333Z 2025-08-14T21:51:23.9850434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9850614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9850676Z return mod(*inputs) 2025-08-14T21:51:23.9850880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9850946Z x = self.forward_features(x) 2025-08-14T21:51:23.9851167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9851225Z x = self.blocks(x) 2025-08-14T21:51:23.9851433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9851497Z x = self.se(x) 2025-08-14T21:51:23.9851700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9851767Z return x * self.gate(x_se) 2025-08-14T21:51:23.9851778Z 2025-08-14T21:51:23.9851854Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9851984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9852174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9852235Z return mod(*inputs) 2025-08-14T21:51:23.9852433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9852512Z x = self.forward_features(x) 2025-08-14T21:51:23.9852731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9852792Z x = self.blocks(x) 2025-08-14T21:51:23.9853010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9853074Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9853276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9853390Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9853591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9853693Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9853697Z 2025-08-14T21:51:23.9853770Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9853871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9854116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9854188Z return mod(*inputs) 2025-08-14T21:51:23.9854398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9854467Z x = self.forward_features(x) 2025-08-14T21:51:23.9854694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9854768Z x = self.blocks(x) 2025-08-14T21:51:23.9855012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9855082Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9855274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9855371Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9855579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9855674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9855677Z 2025-08-14T21:51:23.9855752Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9855832Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9855926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9856118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9856182Z return mod(*inputs) 2025-08-14T21:51:23.9856384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9856456Z x = self.forward_features(x) 2025-08-14T21:51:23.9856672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9856730Z x = self.blocks(x) 2025-08-14T21:51:23.9856945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9857007Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9857205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9857266Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9857269Z 2025-08-14T21:51:23.9857366Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9857588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9857651Z return mod(*inputs) 2025-08-14T21:51:23.9857857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9857922Z x = self.forward_features(x) 2025-08-14T21:51:23.9858141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9858208Z x = self.blocks(x) 2025-08-14T21:51:23.9858419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:23.9858489Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:23.9858492Z 2025-08-14T21:51:23.9858594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9858777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9858871Z return mod(*inputs) 2025-08-14T21:51:23.9859068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9859134Z x = self.forward_features(x) 2025-08-14T21:51:23.9859356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9859415Z x = self.blocks(x) 2025-08-14T21:51:23.9859625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9859694Z x = self.conv_pw(x) 2025-08-14T21:51:23.9859697Z 2025-08-14T21:51:23.9859792Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9859979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9860039Z return mod(*inputs) 2025-08-14T21:51:23.9860240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9860312Z x = self.forward_features(x) 2025-08-14T21:51:23.9860543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9860603Z x = self.blocks(x) 2025-08-14T21:51:23.9860818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9860875Z x = self.bn1(x) 2025-08-14T21:51:23.9861067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9861126Z x = F.batch_norm( 2025-08-14T21:51:23.9861129Z 2025-08-14T21:51:23.9861225Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9861415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9861477Z return mod(*inputs) 2025-08-14T21:51:23.9861673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9861748Z x = self.forward_features(x) 2025-08-14T21:51:23.9861962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9862028Z x = self.blocks(x) 2025-08-14T21:51:23.9862233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9862289Z x = self.bn1(x) 2025-08-14T21:51:23.9862479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9862537Z x = self.act(x) 2025-08-14T21:51:23.9862540Z 2025-08-14T21:51:23.9862640Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9862820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9862881Z return mod(*inputs) 2025-08-14T21:51:23.9863123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9863188Z x = self.forward_features(x) 2025-08-14T21:51:23.9863403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9863470Z x = self.blocks(x) 2025-08-14T21:51:23.9863676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9863741Z x = self.conv_dw(x) 2025-08-14T21:51:23.9863931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9864027Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9864235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9864350Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9864543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9864614Z return conv2d_same( 2025-08-14T21:51:23.9864814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9864918Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9865104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9865240Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9865424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9865520Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9865524Z 2025-08-14T21:51:23.9865625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9865826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9865889Z return mod(*inputs) 2025-08-14T21:51:23.9866090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9866157Z x = self.forward_features(x) 2025-08-14T21:51:23.9866373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9866439Z x = self.blocks(x) 2025-08-14T21:51:23.9866645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9866712Z x = self.conv_dw(x) 2025-08-14T21:51:23.9866900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9866998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9867203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9867299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9867488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9867556Z return conv2d_same( 2025-08-14T21:51:23.9867754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9867881Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9867884Z 2025-08-14T21:51:23.9867978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9868158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9868225Z return mod(*inputs) 2025-08-14T21:51:23.9868435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9868514Z x = self.forward_features(x) 2025-08-14T21:51:23.9868741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9868799Z x = self.blocks(x) 2025-08-14T21:51:23.9869014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9869073Z x = self.conv_dw(x) 2025-08-14T21:51:23.9869264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9869364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9869563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9869680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9869870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9869930Z return conv2d_same( 2025-08-14T21:51:23.9870138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9870234Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9870419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9870559Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9870735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9870833Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9870836Z 2025-08-14T21:51:23.9870929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9871117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9871204Z return mod(*inputs) 2025-08-14T21:51:23.9871401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9871467Z x = self.forward_features(x) 2025-08-14T21:51:23.9871694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9871753Z x = self.blocks(x) 2025-08-14T21:51:23.9871970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9872031Z x = self.conv_dw(x) 2025-08-14T21:51:23.9872221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9872323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9872522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9872627Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9872819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9872879Z return conv2d_same( 2025-08-14T21:51:23.9873081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9873202Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9873205Z 2025-08-14T21:51:23.9873300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9873490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9873551Z return mod(*inputs) 2025-08-14T21:51:23.9873772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9873855Z x = self.forward_features(x) 2025-08-14T21:51:23.9874079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9874146Z x = self.blocks(x) 2025-08-14T21:51:23.9874364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9874424Z x = self.conv_dw(x) 2025-08-14T21:51:23.9874625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9874719Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9874931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9875025Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9875230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9875300Z return conv2d_same( 2025-08-14T21:51:23.9875496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:23.9875597Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:23.9875780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:23.9875908Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:23.9876089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:23.9876181Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:23.9876184Z 2025-08-14T21:51:23.9876280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9876471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9876533Z return mod(*inputs) 2025-08-14T21:51:23.9876749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9876817Z x = self.forward_features(x) 2025-08-14T21:51:23.9877032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9877098Z x = self.blocks(x) 2025-08-14T21:51:23.9877307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9877367Z x = self.conv_dw(x) 2025-08-14T21:51:23.9877567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9877660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9877870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9877967Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9878159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:23.9878225Z return conv2d_same( 2025-08-14T21:51:23.9878426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:23.9878553Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:23.9878556Z 2025-08-14T21:51:23.9878630Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9878704Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9878783Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9878878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9879060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9879168Z return mod(*inputs) 2025-08-14T21:51:23.9879368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9879441Z x = self.forward_features(x) 2025-08-14T21:51:23.9879657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9879716Z x = self.blocks(x) 2025-08-14T21:51:23.9879928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9879986Z x = self.conv_dw(x) 2025-08-14T21:51:23.9880172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9880241Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9880244Z 2025-08-14T21:51:23.9880315Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9880430Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9880613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9880675Z return mod(*inputs) 2025-08-14T21:51:23.9880876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9880943Z x = self.forward_features(x) 2025-08-14T21:51:23.9881158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9881224Z x = self.blocks(x) 2025-08-14T21:51:23.9881429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9881492Z x = self.se(x) 2025-08-14T21:51:23.9881696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:23.9881767Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:23.9881772Z 2025-08-14T21:51:23.9881878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9882075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9882136Z return mod(*inputs) 2025-08-14T21:51:23.9882337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9882404Z x = self.forward_features(x) 2025-08-14T21:51:23.9882624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9882682Z x = self.blocks(x) 2025-08-14T21:51:23.9882890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9882954Z x = self.se(x) 2025-08-14T21:51:23.9883158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:23.9883231Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:23.9883243Z 2025-08-14T21:51:23.9883340Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9883522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9883590Z return mod(*inputs) 2025-08-14T21:51:23.9883786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9883851Z x = self.forward_features(x) 2025-08-14T21:51:23.9884072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9884130Z x = self.blocks(x) 2025-08-14T21:51:23.9884336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9884401Z x = self.se(x) 2025-08-14T21:51:23.9884622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:23.9884712Z x_se = self.act1(x_se) 2025-08-14T21:51:23.9884716Z 2025-08-14T21:51:23.9884813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9884994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9885063Z return mod(*inputs) 2025-08-14T21:51:23.9885260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9885332Z x = self.forward_features(x) 2025-08-14T21:51:23.9885548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9885608Z x = self.blocks(x) 2025-08-14T21:51:23.9885821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9885894Z x = self.se(x) 2025-08-14T21:51:23.9886110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:23.9886187Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:23.9886191Z 2025-08-14T21:51:23.9886284Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9886471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9886531Z return mod(*inputs) 2025-08-14T21:51:23.9886729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9886807Z x = self.forward_features(x) 2025-08-14T21:51:23.9887022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9887080Z x = self.blocks(x) 2025-08-14T21:51:23.9887296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9887356Z x = self.se(x) 2025-08-14T21:51:23.9887583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9887649Z return x * self.gate(x_se) 2025-08-14T21:51:23.9887652Z 2025-08-14T21:51:23.9887746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9887935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9887994Z return mod(*inputs) 2025-08-14T21:51:23.9888193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9888268Z x = self.forward_features(x) 2025-08-14T21:51:23.9888485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9888548Z x = self.blocks(x) 2025-08-14T21:51:23.9888760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9888817Z x = self.se(x) 2025-08-14T21:51:23.9889034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9889099Z return x * self.gate(x_se) 2025-08-14T21:51:23.9889102Z 2025-08-14T21:51:23.9889203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9889386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9889446Z return mod(*inputs) 2025-08-14T21:51:23.9889650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9889715Z x = self.forward_features(x) 2025-08-14T21:51:23.9889934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9890000Z x = self.blocks(x) 2025-08-14T21:51:23.9890241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9890314Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9890317Z 2025-08-14T21:51:23.9890410Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9890590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9890656Z return mod(*inputs) 2025-08-14T21:51:23.9890853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9890918Z x = self.forward_features(x) 2025-08-14T21:51:23.9891139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9891197Z x = self.blocks(x) 2025-08-14T21:51:23.9891410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:51:23.9892115Z x = self.bn3(x) 2025-08-14T21:51:23.9892303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9892370Z x = F.batch_norm( 2025-08-14T21:51:23.9892373Z 2025-08-14T21:51:23.9892467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9892650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9892716Z return mod(*inputs) 2025-08-14T21:51:23.9892912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9892982Z x = self.forward_features(x) 2025-08-14T21:51:23.9893198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9893255Z x = self.blocks(x) 2025-08-14T21:51:23.9893471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9893532Z x = self.conv_pw(x) 2025-08-14T21:51:23.9893736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9893843Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9894105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9894219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9894222Z 2025-08-14T21:51:23.9894317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9894504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9894574Z return mod(*inputs) 2025-08-14T21:51:23.9894776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9894858Z x = self.forward_features(x) 2025-08-14T21:51:23.9895089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9895151Z x = self.blocks(x) 2025-08-14T21:51:23.9895367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9895427Z x = self.conv_pw(x) 2025-08-14T21:51:23.9895618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9895722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9895923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9896025Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9896028Z 2025-08-14T21:51:23.9896106Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9896218Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9896323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9896502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9896562Z return mod(*inputs) 2025-08-14T21:51:23.9896764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9896829Z x = self.forward_features(x) 2025-08-14T21:51:23.9897049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9897109Z x = self.blocks(x) 2025-08-14T21:51:23.9897317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9897386Z x = self.conv_pw(x) 2025-08-14T21:51:23.9897576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9897658Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9897670Z 2025-08-14T21:51:23.9897769Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9897952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9898020Z return mod(*inputs) 2025-08-14T21:51:23.9898216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9898281Z x = self.forward_features(x) 2025-08-14T21:51:23.9898508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9898568Z x = self.blocks(x) 2025-08-14T21:51:23.9898782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9898850Z x = self.bn1(x) 2025-08-14T21:51:23.9899036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9899120Z x = F.batch_norm( 2025-08-14T21:51:23.9899123Z 2025-08-14T21:51:23.9899217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9899396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9899465Z return mod(*inputs) 2025-08-14T21:51:23.9899661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9899735Z x = self.forward_features(x) 2025-08-14T21:51:23.9899950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9900007Z x = self.blocks(x) 2025-08-14T21:51:23.9900219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9900279Z x = self.bn1(x) 2025-08-14T21:51:23.9900573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9900645Z x = self.act(x) 2025-08-14T21:51:23.9900649Z 2025-08-14T21:51:23.9900723Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9900824Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9901005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9901065Z return mod(*inputs) 2025-08-14T21:51:23.9901266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9901332Z x = self.forward_features(x) 2025-08-14T21:51:23.9901547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9901616Z x = self.blocks(x) 2025-08-14T21:51:23.9901871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9901958Z x = self.conv_dw(x) 2025-08-14T21:51:23.9902151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9902248Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9902454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9902551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9902554Z 2025-08-14T21:51:23.9902627Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9902728Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9902909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9902977Z return mod(*inputs) 2025-08-14T21:51:23.9903195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9903263Z x = self.forward_features(x) 2025-08-14T21:51:23.9903489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9903549Z x = self.blocks(x) 2025-08-14T21:51:23.9903756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9903824Z x = self.conv_dw(x) 2025-08-14T21:51:23.9904011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9904113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9904313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9904408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9904414Z 2025-08-14T21:51:23.9904498Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9904614Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9904802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9904861Z return mod(*inputs) 2025-08-14T21:51:23.9905054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9905126Z x = self.forward_features(x) 2025-08-14T21:51:23.9905341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9905399Z x = self.blocks(x) 2025-08-14T21:51:23.9905614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9905672Z x = self.conv_dw(x) 2025-08-14T21:51:23.9905869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9905966Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9906162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9906261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9906265Z 2025-08-14T21:51:23.9906338Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9906433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9906622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9906683Z return mod(*inputs) 2025-08-14T21:51:23.9906884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9906951Z x = self.forward_features(x) 2025-08-14T21:51:23.9907182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9907262Z x = self.blocks(x) 2025-08-14T21:51:23.9907472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9907530Z x = self.conv_dw(x) 2025-08-14T21:51:23.9907724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9907818Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9908021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9908114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9908117Z 2025-08-14T21:51:23.9908192Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9908272Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9908359Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9908431Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9908537Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9908717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9908783Z return mod(*inputs) 2025-08-14T21:51:23.9908980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9909047Z x = self.forward_features(x) 2025-08-14T21:51:23.9909272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9909331Z x = self.blocks(x) 2025-08-14T21:51:23.9909539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9909606Z x = self.conv_dw(x) 2025-08-14T21:51:23.9909797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9909871Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9909874Z 2025-08-14T21:51:23.9909961Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9910056Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9910244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9910305Z return mod(*inputs) 2025-08-14T21:51:23.9910509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9910576Z x = self.forward_features(x) 2025-08-14T21:51:23.9910791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9910857Z x = self.blocks(x) 2025-08-14T21:51:23.9911063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9911124Z x = self.se(x) 2025-08-14T21:51:23.9911340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:23.9911412Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:23.9911415Z 2025-08-14T21:51:23.9911515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9911696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9911755Z return mod(*inputs) 2025-08-14T21:51:23.9911957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9912022Z x = self.forward_features(x) 2025-08-14T21:51:23.9912237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9912303Z x = self.blocks(x) 2025-08-14T21:51:23.9912549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9912628Z x = self.se(x) 2025-08-14T21:51:23.9912837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:23.9912904Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:23.9912907Z 2025-08-14T21:51:23.9913010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9913192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9913253Z return mod(*inputs) 2025-08-14T21:51:23.9913464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9913529Z x = self.forward_features(x) 2025-08-14T21:51:23.9913752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9913825Z x = self.blocks(x) 2025-08-14T21:51:23.9914039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9914106Z x = self.se(x) 2025-08-14T21:51:23.9914317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:23.9914380Z x_se = self.act1(x_se) 2025-08-14T21:51:23.9914391Z 2025-08-14T21:51:23.9914488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9914673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9914742Z return mod(*inputs) 2025-08-14T21:51:23.9914944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9915009Z x = self.forward_features(x) 2025-08-14T21:51:23.9915239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9915304Z x = self.blocks(x) 2025-08-14T21:51:23.9915540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9915596Z x = self.se(x) 2025-08-14T21:51:23.9915801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:23.9915876Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:23.9915880Z 2025-08-14T21:51:23.9915974Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9916155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9916222Z return mod(*inputs) 2025-08-14T21:51:23.9916419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9916492Z x = self.forward_features(x) 2025-08-14T21:51:23.9916709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9916768Z x = self.blocks(x) 2025-08-14T21:51:23.9916985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9917042Z x = self.se(x) 2025-08-14T21:51:23.9917246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9917317Z return x * self.gate(x_se) 2025-08-14T21:51:23.9917320Z 2025-08-14T21:51:23.9917413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9917598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9917657Z return mod(*inputs) 2025-08-14T21:51:23.9917851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9917926Z x = self.forward_features(x) 2025-08-14T21:51:23.9918171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9918230Z x = self.blocks(x) 2025-08-14T21:51:23.9918447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9918503Z x = self.se(x) 2025-08-14T21:51:23.9918719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9918783Z return x * self.gate(x_se) 2025-08-14T21:51:23.9918787Z 2025-08-14T21:51:23.9918858Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9918959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9919138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9919199Z return mod(*inputs) 2025-08-14T21:51:23.9919419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9919486Z x = self.forward_features(x) 2025-08-14T21:51:23.9919706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9919765Z x = self.blocks(x) 2025-08-14T21:51:23.9919970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9920040Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9920230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9920328Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9920535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9920631Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9920637Z 2025-08-14T21:51:23.9920718Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9920835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9921017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9921085Z return mod(*inputs) 2025-08-14T21:51:23.9921279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9921352Z x = self.forward_features(x) 2025-08-14T21:51:23.9921568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9921627Z x = self.blocks(x) 2025-08-14T21:51:23.9921841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9921903Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9922097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9922203Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9922404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9922505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9922508Z 2025-08-14T21:51:23.9922583Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9922654Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9922756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9922937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9922998Z return mod(*inputs) 2025-08-14T21:51:23.9923202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9923269Z x = self.forward_features(x) 2025-08-14T21:51:23.9923520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9923583Z x = self.blocks(x) 2025-08-14T21:51:23.9923791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9923860Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9924049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9924112Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9924123Z 2025-08-14T21:51:23.9924219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9924402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9924468Z return mod(*inputs) 2025-08-14T21:51:23.9924664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9924753Z x = self.forward_features(x) 2025-08-14T21:51:23.9924977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9925036Z x = self.blocks(x) 2025-08-14T21:51:23.9925255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:23.9925324Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:23.9925328Z 2025-08-14T21:51:23.9925422Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9925609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9925668Z return mod(*inputs) 2025-08-14T21:51:23.9925865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9925939Z x = self.forward_features(x) 2025-08-14T21:51:23.9926160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9926228Z x = self.blocks(x) 2025-08-14T21:51:23.9926454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9926515Z x = self.conv_pw(x) 2025-08-14T21:51:23.9926713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9926809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9927009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9927113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9927116Z 2025-08-14T21:51:23.9927209Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9927399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9927462Z return mod(*inputs) 2025-08-14T21:51:23.9927659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9927731Z x = self.forward_features(x) 2025-08-14T21:51:23.9927947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9928006Z x = self.blocks(x) 2025-08-14T21:51:23.9928221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9928281Z x = self.conv_pw(x) 2025-08-14T21:51:23.9928477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9928571Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9928769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9928898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9928902Z 2025-08-14T21:51:23.9928978Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9929061Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9929154Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9929335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9929405Z return mod(*inputs) 2025-08-14T21:51:23.9929602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9929669Z x = self.forward_features(x) 2025-08-14T21:51:23.9929893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9929953Z x = self.blocks(x) 2025-08-14T21:51:23.9930181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9930242Z x = self.conv_pw(x) 2025-08-14T21:51:23.9930430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9930501Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9930504Z 2025-08-14T21:51:23.9930599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9930778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9930844Z return mod(*inputs) 2025-08-14T21:51:23.9931037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9931109Z x = self.forward_features(x) 2025-08-14T21:51:23.9931326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9931385Z x = self.blocks(x) 2025-08-14T21:51:23.9931601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9931673Z x = self.bn1(x) 2025-08-14T21:51:23.9931857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9931923Z x = F.batch_norm( 2025-08-14T21:51:23.9931926Z 2025-08-14T21:51:23.9932018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9932204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9932263Z return mod(*inputs) 2025-08-14T21:51:23.9932459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9932533Z x = self.forward_features(x) 2025-08-14T21:51:23.9932750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9932816Z x = self.blocks(x) 2025-08-14T21:51:23.9933032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9933091Z x = self.bn1(x) 2025-08-14T21:51:23.9933280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9933338Z x = self.act(x) 2025-08-14T21:51:23.9933342Z 2025-08-14T21:51:23.9933416Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9933518Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9933698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9933760Z return mod(*inputs) 2025-08-14T21:51:23.9933961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9934096Z x = self.forward_features(x) 2025-08-14T21:51:23.9934355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9934433Z x = self.blocks(x) 2025-08-14T21:51:23.9934645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9934715Z x = self.conv_dw(x) 2025-08-14T21:51:23.9934909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9935013Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9935215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9935310Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9935314Z 2025-08-14T21:51:23.9935397Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9935494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9935692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9935766Z return mod(*inputs) 2025-08-14T21:51:23.9935966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9936042Z x = self.forward_features(x) 2025-08-14T21:51:23.9936264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9936327Z x = self.blocks(x) 2025-08-14T21:51:23.9936551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9936611Z x = self.conv_dw(x) 2025-08-14T21:51:23.9936810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9936912Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9937117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9937234Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9937237Z 2025-08-14T21:51:23.9937312Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9937407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9937591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9937652Z return mod(*inputs) 2025-08-14T21:51:23.9937846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9937920Z x = self.forward_features(x) 2025-08-14T21:51:23.9938135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9938200Z x = self.blocks(x) 2025-08-14T21:51:23.9938408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9938470Z x = self.conv_dw(x) 2025-08-14T21:51:23.9938664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9938757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9938962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9939055Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9939058Z 2025-08-14T21:51:23.9939133Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9939235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9939415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9939475Z return mod(*inputs) 2025-08-14T21:51:23.9939696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9939783Z x = self.forward_features(x) 2025-08-14T21:51:23.9940009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9940069Z x = self.blocks(x) 2025-08-14T21:51:23.9940281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9940347Z x = self.conv_dw(x) 2025-08-14T21:51:23.9940537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9940630Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9940840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9940932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9940959Z 2025-08-14T21:51:23.9941043Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9941116Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9941188Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9941265Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9941360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9941544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9941612Z return mod(*inputs) 2025-08-14T21:51:23.9941810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9941883Z x = self.forward_features(x) 2025-08-14T21:51:23.9942098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9942155Z x = self.blocks(x) 2025-08-14T21:51:23.9942373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9942433Z x = self.conv_dw(x) 2025-08-14T21:51:23.9942640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9942714Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9942718Z 2025-08-14T21:51:23.9942790Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9942899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9943081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9943141Z return mod(*inputs) 2025-08-14T21:51:23.9943344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9943410Z x = self.forward_features(x) 2025-08-14T21:51:23.9943627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9943698Z x = self.blocks(x) 2025-08-14T21:51:23.9943905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9943970Z x = self.se(x) 2025-08-14T21:51:23.9944174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:23.9944245Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:23.9944249Z 2025-08-14T21:51:23.9944351Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9944532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9944592Z return mod(*inputs) 2025-08-14T21:51:23.9944793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9944861Z x = self.forward_features(x) 2025-08-14T21:51:23.9945101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9945173Z x = self.blocks(x) 2025-08-14T21:51:23.9945381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9945449Z x = self.se(x) 2025-08-14T21:51:23.9945657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:23.9945734Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:23.9945737Z 2025-08-14T21:51:23.9945831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9946012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9946080Z return mod(*inputs) 2025-08-14T21:51:23.9946276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9946367Z x = self.forward_features(x) 2025-08-14T21:51:23.9946597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9946656Z x = self.blocks(x) 2025-08-14T21:51:23.9946871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9946929Z x = self.se(x) 2025-08-14T21:51:23.9947135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:23.9947208Z x_se = self.act1(x_se) 2025-08-14T21:51:23.9947211Z 2025-08-14T21:51:23.9947304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9947486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9947555Z return mod(*inputs) 2025-08-14T21:51:23.9947749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9963257Z x = self.forward_features(x) 2025-08-14T21:51:23.9963711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9963789Z x = self.blocks(x) 2025-08-14T21:51:23.9964038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9964100Z x = self.se(x) 2025-08-14T21:51:23.9964331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:23.9964406Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:23.9964412Z 2025-08-14T21:51:23.9964523Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9964729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9964798Z return mod(*inputs) 2025-08-14T21:51:23.9965009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9965093Z x = self.forward_features(x) 2025-08-14T21:51:23.9965314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9965382Z x = self.blocks(x) 2025-08-14T21:51:23.9965591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9965649Z x = self.se(x) 2025-08-14T21:51:23.9965867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9965937Z return x * self.gate(x_se) 2025-08-14T21:51:23.9965940Z 2025-08-14T21:51:23.9966043Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9966244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9966309Z return mod(*inputs) 2025-08-14T21:51:23.9966573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9966642Z x = self.forward_features(x) 2025-08-14T21:51:23.9966859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9966929Z x = self.blocks(x) 2025-08-14T21:51:23.9967138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9967203Z x = self.se(x) 2025-08-14T21:51:23.9967407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9967473Z return x * self.gate(x_se) 2025-08-14T21:51:23.9967476Z 2025-08-14T21:51:23.9967564Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9967665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9967878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9967952Z return mod(*inputs) 2025-08-14T21:51:23.9968152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9968228Z x = self.forward_features(x) 2025-08-14T21:51:23.9968446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9968506Z x = self.blocks(x) 2025-08-14T21:51:23.9968720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9968785Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9968977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9969093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9969298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9969425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9969429Z 2025-08-14T21:51:23.9969507Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9969603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9969796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9969859Z return mod(*inputs) 2025-08-14T21:51:23.9970054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9970126Z x = self.forward_features(x) 2025-08-14T21:51:23.9970340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9970406Z x = self.blocks(x) 2025-08-14T21:51:23.9970618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9970682Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9970881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9970981Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9971180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9971280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9971283Z 2025-08-14T21:51:23.9971363Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9971434Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9971529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9971716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9971775Z return mod(*inputs) 2025-08-14T21:51:23.9972001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9972071Z x = self.forward_features(x) 2025-08-14T21:51:23.9972283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9972350Z x = self.blocks(x) 2025-08-14T21:51:23.9972560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:23.9972623Z x = self.conv_pwl(x) 2025-08-14T21:51:23.9972818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9972881Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9972885Z 2025-08-14T21:51:23.9972981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9973171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9973250Z return mod(*inputs) 2025-08-14T21:51:23.9973452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9973518Z x = self.forward_features(x) 2025-08-14T21:51:23.9973733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9973800Z x = self.blocks(x) 2025-08-14T21:51:23.9974008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:23.9974163Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:23.9974167Z 2025-08-14T21:51:23.9974263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9974447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9974514Z return mod(*inputs) 2025-08-14T21:51:23.9974713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9974796Z x = self.forward_features(x) 2025-08-14T21:51:23.9975020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9975082Z x = self.blocks(x) 2025-08-14T21:51:23.9975299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9975360Z x = self.conv_pw(x) 2025-08-14T21:51:23.9975550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9975656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9975858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9975954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9975968Z 2025-08-14T21:51:23.9976066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9976250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9976319Z return mod(*inputs) 2025-08-14T21:51:23.9976518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9976584Z x = self.forward_features(x) 2025-08-14T21:51:23.9976806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9976867Z x = self.blocks(x) 2025-08-14T21:51:23.9977075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9977141Z x = self.conv_pw(x) 2025-08-14T21:51:23.9977331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9977465Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9977665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9977757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9977761Z 2025-08-14T21:51:23.9977843Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9977916Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9978018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9978199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9978260Z return mod(*inputs) 2025-08-14T21:51:23.9978460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9978526Z x = self.forward_features(x) 2025-08-14T21:51:23.9978755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9978826Z x = self.blocks(x) 2025-08-14T21:51:23.9979034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:23.9979102Z x = self.conv_pw(x) 2025-08-14T21:51:23.9979290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9979354Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9979358Z 2025-08-14T21:51:23.9979458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9979639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9979700Z return mod(*inputs) 2025-08-14T21:51:23.9979900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9979968Z x = self.forward_features(x) 2025-08-14T21:51:23.9980209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9980269Z x = self.blocks(x) 2025-08-14T21:51:23.9980477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9980545Z x = self.bn1(x) 2025-08-14T21:51:23.9980731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:23.9980791Z x = F.batch_norm( 2025-08-14T21:51:23.9980794Z 2025-08-14T21:51:23.9980894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9981077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9981145Z return mod(*inputs) 2025-08-14T21:51:23.9981341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9981410Z x = self.forward_features(x) 2025-08-14T21:51:23.9981637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9981696Z x = self.blocks(x) 2025-08-14T21:51:23.9981903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:23.9981969Z x = self.bn1(x) 2025-08-14T21:51:23.9982154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:23.9982218Z x = self.act(x) 2025-08-14T21:51:23.9982221Z 2025-08-14T21:51:23.9982293Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9982388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9982578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9982641Z return mod(*inputs) 2025-08-14T21:51:23.9982860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9982959Z x = self.forward_features(x) 2025-08-14T21:51:23.9983174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9983241Z x = self.blocks(x) 2025-08-14T21:51:23.9983445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9983505Z x = self.conv_dw(x) 2025-08-14T21:51:23.9983702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9983798Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9984002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9984113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9984118Z 2025-08-14T21:51:23.9984193Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9984296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9984476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9984536Z return mod(*inputs) 2025-08-14T21:51:23.9984738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9984803Z x = self.forward_features(x) 2025-08-14T21:51:23.9985025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9985084Z x = self.blocks(x) 2025-08-14T21:51:23.9985289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9985357Z x = self.conv_dw(x) 2025-08-14T21:51:23.9985548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9985659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9985867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9985961Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9985965Z 2025-08-14T21:51:23.9986045Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9986139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9986322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9986390Z return mod(*inputs) 2025-08-14T21:51:23.9986586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9986650Z x = self.forward_features(x) 2025-08-14T21:51:23.9986875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9986939Z x = self.blocks(x) 2025-08-14T21:51:23.9987151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9987209Z x = self.conv_dw(x) 2025-08-14T21:51:23.9987398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9987498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9987698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9987795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9987799Z 2025-08-14T21:51:23.9987870Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9987963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9988189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9988254Z return mod(*inputs) 2025-08-14T21:51:23.9988449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9988522Z x = self.forward_features(x) 2025-08-14T21:51:23.9988733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9988800Z x = self.blocks(x) 2025-08-14T21:51:23.9989004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9989062Z x = self.conv_dw(x) 2025-08-14T21:51:23.9989258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:23.9989352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9989568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:23.9989672Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:23.9989675Z 2025-08-14T21:51:23.9989750Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9989830Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9989902Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9989973Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9990074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9990257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9990319Z return mod(*inputs) 2025-08-14T21:51:23.9990524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9990590Z x = self.forward_features(x) 2025-08-14T21:51:23.9990814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9990890Z x = self.blocks(x) 2025-08-14T21:51:23.9991097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:23.9991164Z x = self.conv_dw(x) 2025-08-14T21:51:23.9991352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:23.9991416Z x = torch.cat(x_out, 1) 2025-08-14T21:51:23.9991419Z 2025-08-14T21:51:23.9991499Z cudagraph partition due to non gpu ops 2025-08-14T21:51:23.9991595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9991783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9991845Z return mod(*inputs) 2025-08-14T21:51:23.9992037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9992115Z x = self.forward_features(x) 2025-08-14T21:51:23.9992331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9992389Z x = self.blocks(x) 2025-08-14T21:51:23.9992601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9992658Z x = self.se(x) 2025-08-14T21:51:23.9992871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:23.9992944Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:23.9992947Z 2025-08-14T21:51:23.9993041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9993231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9993291Z return mod(*inputs) 2025-08-14T21:51:23.9993500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9993589Z x = self.forward_features(x) 2025-08-14T21:51:23.9993811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9993877Z x = self.blocks(x) 2025-08-14T21:51:23.9994088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9994144Z x = self.se(x) 2025-08-14T21:51:23.9994360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:23.9994428Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:23.9994431Z 2025-08-14T21:51:23.9994533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9994718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9994793Z return mod(*inputs) 2025-08-14T21:51:23.9994998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9995063Z x = self.forward_features(x) 2025-08-14T21:51:23.9995276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9995343Z x = self.blocks(x) 2025-08-14T21:51:23.9995546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9995610Z x = self.se(x) 2025-08-14T21:51:23.9995812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:23.9995876Z x_se = self.act1(x_se) 2025-08-14T21:51:23.9995880Z 2025-08-14T21:51:23.9995978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9996163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9996226Z return mod(*inputs) 2025-08-14T21:51:23.9996445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9996510Z x = self.forward_features(x) 2025-08-14T21:51:23.9996734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9996795Z x = self.blocks(x) 2025-08-14T21:51:23.9997000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9997064Z x = self.se(x) 2025-08-14T21:51:23.9997270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:23.9997339Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:23.9997350Z 2025-08-14T21:51:23.9997442Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9997629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9997699Z return mod(*inputs) 2025-08-14T21:51:23.9997894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9997960Z x = self.forward_features(x) 2025-08-14T21:51:23.9998181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9998241Z x = self.blocks(x) 2025-08-14T21:51:23.9998444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9998507Z x = self.se(x) 2025-08-14T21:51:23.9998711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:23.9998783Z return x * self.gate(x_se) 2025-08-14T21:51:23.9998788Z 2025-08-14T21:51:23.9998895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:23.9999091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:23.9999159Z return mod(*inputs) 2025-08-14T21:51:23.9999355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:23.9999426Z x = self.forward_features(x) 2025-08-14T21:51:23.9999641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:23.9999700Z x = self.blocks(x) 2025-08-14T21:51:23.9999912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:23.9999968Z x = self.se(x) 2025-08-14T21:51:24.0000172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0000259Z return x * self.gate(x_se) 2025-08-14T21:51:24.0000266Z 2025-08-14T21:51:24.0000534Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0000647Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0000830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0000891Z return mod(*inputs) 2025-08-14T21:51:24.0001094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0001160Z x = self.forward_features(x) 2025-08-14T21:51:24.0001373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0001441Z x = self.blocks(x) 2025-08-14T21:51:24.0001646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0001718Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0001912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0002061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0002269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0002367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0002371Z 2025-08-14T21:51:24.0002445Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0002547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0002729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0002797Z return mod(*inputs) 2025-08-14T21:51:24.0002992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0003058Z x = self.forward_features(x) 2025-08-14T21:51:24.0003284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0003347Z x = self.blocks(x) 2025-08-14T21:51:24.0003557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0003628Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0003820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0003924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0004127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0004223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0004227Z 2025-08-14T21:51:24.0004309Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0004384Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0004520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0004756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0004818Z return mod(*inputs) 2025-08-14T21:51:24.0005017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0005084Z x = self.forward_features(x) 2025-08-14T21:51:24.0005298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0005365Z x = self.blocks(x) 2025-08-14T21:51:24.0005572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0005641Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0005832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0005918Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0005923Z 2025-08-14T21:51:24.0006026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0006211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0006271Z return mod(*inputs) 2025-08-14T21:51:24.0006476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0006541Z x = self.forward_features(x) 2025-08-14T21:51:24.0006770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0006833Z x = self.blocks(x) 2025-08-14T21:51:24.0007047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:24.0007127Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:24.0007131Z 2025-08-14T21:51:24.0007228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0007414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0007495Z return mod(*inputs) 2025-08-14T21:51:24.0007691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0007764Z x = self.forward_features(x) 2025-08-14T21:51:24.0007979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0008039Z x = self.blocks(x) 2025-08-14T21:51:24.0008254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0008315Z x = self.conv_pw(x) 2025-08-14T21:51:24.0008319Z 2025-08-14T21:51:24.0008420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0008600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0008666Z return mod(*inputs) 2025-08-14T21:51:24.0008868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0008933Z x = self.forward_features(x) 2025-08-14T21:51:24.0009147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0009214Z x = self.blocks(x) 2025-08-14T21:51:24.0009420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0009487Z x = self.conv_dw(x) 2025-08-14T21:51:24.0009490Z 2025-08-14T21:51:24.0009564Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0009657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0009845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0009906Z return mod(*inputs) 2025-08-14T21:51:24.0010134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0010208Z x = self.forward_features(x) 2025-08-14T21:51:24.0010422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0010489Z x = self.blocks(x) 2025-08-14T21:51:24.0010697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0010754Z x = self.se(x) 2025-08-14T21:51:24.0010966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:24.0011037Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:24.0011041Z 2025-08-14T21:51:24.0011133Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0011320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0011398Z return mod(*inputs) 2025-08-14T21:51:24.0011603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0011668Z x = self.forward_features(x) 2025-08-14T21:51:24.0011885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0011950Z x = self.blocks(x) 2025-08-14T21:51:24.0012160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0012217Z x = self.se(x) 2025-08-14T21:51:24.0012430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:24.0012497Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:24.0012500Z 2025-08-14T21:51:24.0012599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0012784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0012846Z return mod(*inputs) 2025-08-14T21:51:24.0013063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0013128Z x = self.forward_features(x) 2025-08-14T21:51:24.0013353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0013412Z x = self.blocks(x) 2025-08-14T21:51:24.0013621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0013684Z x = self.se(x) 2025-08-14T21:51:24.0013889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:24.0013953Z x_se = self.act1(x_se) 2025-08-14T21:51:24.0013956Z 2025-08-14T21:51:24.0014118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0014306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0014374Z return mod(*inputs) 2025-08-14T21:51:24.0014568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0014633Z x = self.forward_features(x) 2025-08-14T21:51:24.0014853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0014912Z x = self.blocks(x) 2025-08-14T21:51:24.0015116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0015181Z x = self.se(x) 2025-08-14T21:51:24.0015385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:24.0015464Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:24.0015484Z 2025-08-14T21:51:24.0015592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0015777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0015846Z return mod(*inputs) 2025-08-14T21:51:24.0016042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0016109Z x = self.forward_features(x) 2025-08-14T21:51:24.0016331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0016392Z x = self.blocks(x) 2025-08-14T21:51:24.0016607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0016666Z x = self.se(x) 2025-08-14T21:51:24.0016870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0016962Z return x * self.gate(x_se) 2025-08-14T21:51:24.0016966Z 2025-08-14T21:51:24.0017060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0017253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0017313Z return mod(*inputs) 2025-08-14T21:51:24.0017513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0017587Z x = self.forward_features(x) 2025-08-14T21:51:24.0017806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0017865Z x = self.blocks(x) 2025-08-14T21:51:24.0018087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0018144Z x = self.se(x) 2025-08-14T21:51:24.0018364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0018431Z return x * self.gate(x_se) 2025-08-14T21:51:24.0018454Z 2025-08-14T21:51:24.0018547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0018732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0018793Z return mod(*inputs) 2025-08-14T21:51:24.0018987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0019059Z x = self.forward_features(x) 2025-08-14T21:51:24.0019273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0019338Z x = self.blocks(x) 2025-08-14T21:51:24.0019544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0019608Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0019612Z 2025-08-14T21:51:24.0019711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0019895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0019955Z return mod(*inputs) 2025-08-14T21:51:24.0020155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0020220Z x = self.forward_features(x) 2025-08-14T21:51:24.0020442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0020501Z x = self.blocks(x) 2025-08-14T21:51:24.0020706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:51:24.0020773Z x = self.bn3(x) 2025-08-14T21:51:24.0020957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0021055Z x = F.batch_norm( 2025-08-14T21:51:24.0021058Z 2025-08-14T21:51:24.0021152Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0021335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0021402Z return mod(*inputs) 2025-08-14T21:51:24.0021597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0021663Z x = self.forward_features(x) 2025-08-14T21:51:24.0021883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0021941Z x = self.blocks(x) 2025-08-14T21:51:24.0022155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0022215Z x = self.conv_pw(x) 2025-08-14T21:51:24.0022419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0022529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0022758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0022856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0022865Z 2025-08-14T21:51:24.0022958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0023141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0023209Z return mod(*inputs) 2025-08-14T21:51:24.0023403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0023469Z x = self.forward_features(x) 2025-08-14T21:51:24.0023689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0023753Z x = self.blocks(x) 2025-08-14T21:51:24.0023988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0024051Z x = self.conv_pw(x) 2025-08-14T21:51:24.0024239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0024341Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0024537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0024630Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0024633Z 2025-08-14T21:51:24.0024715Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0024790Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0024890Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0025074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0025136Z return mod(*inputs) 2025-08-14T21:51:24.0025338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0025403Z x = self.forward_features(x) 2025-08-14T21:51:24.0025614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0025681Z x = self.blocks(x) 2025-08-14T21:51:24.0025888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0025954Z x = self.conv_pw(x) 2025-08-14T21:51:24.0026141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0026202Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0026206Z 2025-08-14T21:51:24.0026307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0026516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0026579Z return mod(*inputs) 2025-08-14T21:51:24.0026781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0026847Z x = self.forward_features(x) 2025-08-14T21:51:24.0027069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0027129Z x = self.blocks(x) 2025-08-14T21:51:24.0027336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0027401Z x = self.bn1(x) 2025-08-14T21:51:24.0027586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0027645Z x = F.batch_norm( 2025-08-14T21:51:24.0027670Z 2025-08-14T21:51:24.0027766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0027949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0028015Z return mod(*inputs) 2025-08-14T21:51:24.0028210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0028274Z x = self.forward_features(x) 2025-08-14T21:51:24.0028497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0028556Z x = self.blocks(x) 2025-08-14T21:51:24.0028770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0028827Z x = self.bn1(x) 2025-08-14T21:51:24.0029010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:24.0029077Z x = self.act(x) 2025-08-14T21:51:24.0029082Z 2025-08-14T21:51:24.0029159Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0029266Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0029458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0029520Z return mod(*inputs) 2025-08-14T21:51:24.0029721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0029787Z x = self.forward_features(x) 2025-08-14T21:51:24.0030003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0030069Z x = self.blocks(x) 2025-08-14T21:51:24.0030279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0030340Z x = self.conv_dw(x) 2025-08-14T21:51:24.0030540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0030639Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0030847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0030946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0030949Z 2025-08-14T21:51:24.0031023Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0031124Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0031306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0031366Z return mod(*inputs) 2025-08-14T21:51:24.0031567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0031633Z x = self.forward_features(x) 2025-08-14T21:51:24.0031868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0031943Z x = self.blocks(x) 2025-08-14T21:51:24.0032151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0032219Z x = self.conv_dw(x) 2025-08-14T21:51:24.0032408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0032504Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0032712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0032806Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0032809Z 2025-08-14T21:51:24.0032890Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0032985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0033182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0033251Z return mod(*inputs) 2025-08-14T21:51:24.0033446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0033519Z x = self.forward_features(x) 2025-08-14T21:51:24.0033732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0033792Z x = self.blocks(x) 2025-08-14T21:51:24.0034005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0034064Z x = self.conv_dw(x) 2025-08-14T21:51:24.0034252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0034355Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0034555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0034672Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0034675Z 2025-08-14T21:51:24.0034751Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0034846Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0035033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0035095Z return mod(*inputs) 2025-08-14T21:51:24.0035288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0035360Z x = self.forward_features(x) 2025-08-14T21:51:24.0035573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0035641Z x = self.blocks(x) 2025-08-14T21:51:24.0035849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0035909Z x = self.conv_dw(x) 2025-08-14T21:51:24.0036105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0036198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0036394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0036495Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0036498Z 2025-08-14T21:51:24.0036571Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0036649Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0036720Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0036790Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0036891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0037090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0037167Z return mod(*inputs) 2025-08-14T21:51:24.0037375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0037441Z x = self.forward_features(x) 2025-08-14T21:51:24.0037667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0037726Z x = self.blocks(x) 2025-08-14T21:51:24.0037938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0038007Z x = self.conv_dw(x) 2025-08-14T21:51:24.0038202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0038265Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0038275Z 2025-08-14T21:51:24.0038360Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0038457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0038647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0038708Z return mod(*inputs) 2025-08-14T21:51:24.0038901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0038973Z x = self.forward_features(x) 2025-08-14T21:51:24.0039183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0039243Z x = self.blocks(x) 2025-08-14T21:51:24.0039455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0039512Z x = self.se(x) 2025-08-14T21:51:24.0039724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:24.0039797Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:24.0039802Z 2025-08-14T21:51:24.0039913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0040102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0040162Z return mod(*inputs) 2025-08-14T21:51:24.0040365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0040430Z x = self.forward_features(x) 2025-08-14T21:51:24.0040643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0040709Z x = self.blocks(x) 2025-08-14T21:51:24.0040916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0040974Z x = self.se(x) 2025-08-14T21:51:24.0041188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:24.0041258Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:24.0041263Z 2025-08-14T21:51:24.0041364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0041546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0041606Z return mod(*inputs) 2025-08-14T21:51:24.0041810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0041876Z x = self.forward_features(x) 2025-08-14T21:51:24.0042091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0042158Z x = self.blocks(x) 2025-08-14T21:51:24.0042366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0042432Z x = self.se(x) 2025-08-14T21:51:24.0042651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:24.0042730Z x_se = self.act1(x_se) 2025-08-14T21:51:24.0042734Z 2025-08-14T21:51:24.0042836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0043017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0043078Z return mod(*inputs) 2025-08-14T21:51:24.0043283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0043348Z x = self.forward_features(x) 2025-08-14T21:51:24.0043569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0043629Z x = self.blocks(x) 2025-08-14T21:51:24.0043836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0043928Z x = self.se(x) 2025-08-14T21:51:24.0044132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:24.0044199Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:24.0044211Z 2025-08-14T21:51:24.0044304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0044486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0044553Z return mod(*inputs) 2025-08-14T21:51:24.0044748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0044815Z x = self.forward_features(x) 2025-08-14T21:51:24.0045037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0045096Z x = self.blocks(x) 2025-08-14T21:51:24.0045312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0045370Z x = self.se(x) 2025-08-14T21:51:24.0045589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0045663Z return x * self.gate(x_se) 2025-08-14T21:51:24.0045667Z 2025-08-14T21:51:24.0045759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0045940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0046007Z return mod(*inputs) 2025-08-14T21:51:24.0046204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0046275Z x = self.forward_features(x) 2025-08-14T21:51:24.0046491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0046553Z x = self.blocks(x) 2025-08-14T21:51:24.0046770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0046829Z x = self.se(x) 2025-08-14T21:51:24.0047035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0047108Z return x * self.gate(x_se) 2025-08-14T21:51:24.0047111Z 2025-08-14T21:51:24.0047185Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0047284Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0047469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0047530Z return mod(*inputs) 2025-08-14T21:51:24.0047734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0047798Z x = self.forward_features(x) 2025-08-14T21:51:24.0048030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0048111Z x = self.blocks(x) 2025-08-14T21:51:24.0048324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0048396Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0048589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0048686Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0048894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0048991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0048994Z 2025-08-14T21:51:24.0049075Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0049170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0049369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0049437Z return mod(*inputs) 2025-08-14T21:51:24.0049634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0049701Z x = self.forward_features(x) 2025-08-14T21:51:24.0049925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0049984Z x = self.blocks(x) 2025-08-14T21:51:24.0050199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0050261Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0050451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0050554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0050755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0050864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0050867Z 2025-08-14T21:51:24.0050947Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0051021Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0051121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0051302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0051364Z return mod(*inputs) 2025-08-14T21:51:24.0051566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0051633Z x = self.forward_features(x) 2025-08-14T21:51:24.0051848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0051917Z x = self.blocks(x) 2025-08-14T21:51:24.0052128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0052199Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0052391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0052454Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0052457Z 2025-08-14T21:51:24.0052559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0052742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0052802Z return mod(*inputs) 2025-08-14T21:51:24.0053005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0053071Z x = self.forward_features(x) 2025-08-14T21:51:24.0053294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0053417Z x = self.blocks(x) 2025-08-14T21:51:24.0053628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:24.0053705Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:24.0053709Z 2025-08-14T21:51:24.0053805Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0054001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0054145Z return mod(*inputs) 2025-08-14T21:51:24.0054352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0054430Z x = self.forward_features(x) 2025-08-14T21:51:24.0054653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0054715Z x = self.blocks(x) 2025-08-14T21:51:24.0054971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0055033Z x = self.conv_pw(x) 2025-08-14T21:51:24.0055232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0055330Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0055530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0055634Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0055638Z 2025-08-14T21:51:24.0055735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0055918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0055988Z return mod(*inputs) 2025-08-14T21:51:24.0056186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0056266Z x = self.forward_features(x) 2025-08-14T21:51:24.0056497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0056559Z x = self.blocks(x) 2025-08-14T21:51:24.0056782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0056845Z x = self.conv_pw(x) 2025-08-14T21:51:24.0057040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0057147Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0057348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0057453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0057458Z 2025-08-14T21:51:24.0057536Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0057615Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0057718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0057906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0057974Z return mod(*inputs) 2025-08-14T21:51:24.0058176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0058244Z x = self.forward_features(x) 2025-08-14T21:51:24.0058471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0058533Z x = self.blocks(x) 2025-08-14T21:51:24.0058748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0058817Z x = self.conv_pw(x) 2025-08-14T21:51:24.0059027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0059114Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0059119Z 2025-08-14T21:51:24.0059217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0059407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0059477Z return mod(*inputs) 2025-08-14T21:51:24.0059678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0059744Z x = self.forward_features(x) 2025-08-14T21:51:24.0059971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0060033Z x = self.blocks(x) 2025-08-14T21:51:24.0060253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0060328Z x = self.bn1(x) 2025-08-14T21:51:24.0060517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0060588Z x = F.batch_norm( 2025-08-14T21:51:24.0060591Z 2025-08-14T21:51:24.0060688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0060877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0060946Z return mod(*inputs) 2025-08-14T21:51:24.0061146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0061219Z x = self.forward_features(x) 2025-08-14T21:51:24.0061439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0061500Z x = self.blocks(x) 2025-08-14T21:51:24.0061724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0061791Z x = self.bn1(x) 2025-08-14T21:51:24.0061996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:24.0062062Z x = self.act(x) 2025-08-14T21:51:24.0062066Z 2025-08-14T21:51:24.0062142Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0062236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0062426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0062487Z return mod(*inputs) 2025-08-14T21:51:24.0062687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0062761Z x = self.forward_features(x) 2025-08-14T21:51:24.0062982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0063048Z x = self.blocks(x) 2025-08-14T21:51:24.0063264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0063328Z x = self.conv_dw(x) 2025-08-14T21:51:24.0063531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0063631Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0063837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0063941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0063944Z 2025-08-14T21:51:24.0064021Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0064121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0064307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0064368Z return mod(*inputs) 2025-08-14T21:51:24.0064596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0064686Z x = self.forward_features(x) 2025-08-14T21:51:24.0064904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0064971Z x = self.blocks(x) 2025-08-14T21:51:24.0065182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0065249Z x = self.conv_dw(x) 2025-08-14T21:51:24.0065446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0065544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0065754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0065849Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0065868Z 2025-08-14T21:51:24.0065952Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0066049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0066238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0066305Z return mod(*inputs) 2025-08-14T21:51:24.0066507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0066572Z x = self.forward_features(x) 2025-08-14T21:51:24.0066795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0066855Z x = self.blocks(x) 2025-08-14T21:51:24.0067073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0067133Z x = self.conv_dw(x) 2025-08-14T21:51:24.0067329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0067444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0067646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0067741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0067744Z 2025-08-14T21:51:24.0067822Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0067918Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0068110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0068171Z return mod(*inputs) 2025-08-14T21:51:24.0068405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0068488Z x = self.forward_features(x) 2025-08-14T21:51:24.0068705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0068765Z x = self.blocks(x) 2025-08-14T21:51:24.0068979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0069038Z x = self.conv_dw(x) 2025-08-14T21:51:24.0069231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0069327Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0069525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0069625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0069629Z 2025-08-14T21:51:24.0069701Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0069779Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0069853Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0069954Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0070055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0070238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0070297Z return mod(*inputs) 2025-08-14T21:51:24.0070500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0070567Z x = self.forward_features(x) 2025-08-14T21:51:24.0070783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0070852Z x = self.blocks(x) 2025-08-14T21:51:24.0071058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0071125Z x = self.conv_dw(x) 2025-08-14T21:51:24.0071330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0071396Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0071400Z 2025-08-14T21:51:24.0071479Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0071574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0071757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0071826Z return mod(*inputs) 2025-08-14T21:51:24.0072017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0072089Z x = self.forward_features(x) 2025-08-14T21:51:24.0072299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0072358Z x = self.blocks(x) 2025-08-14T21:51:24.0072570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0072631Z x = self.se(x) 2025-08-14T21:51:24.0072849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:24.0072925Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:24.0072929Z 2025-08-14T21:51:24.0073021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0073211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0073272Z return mod(*inputs) 2025-08-14T21:51:24.0073466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0073542Z x = self.forward_features(x) 2025-08-14T21:51:24.0073756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0073821Z x = self.blocks(x) 2025-08-14T21:51:24.0074032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0074092Z x = self.se(x) 2025-08-14T21:51:24.0074306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:24.0074375Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:24.0074379Z 2025-08-14T21:51:24.0074471Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0074661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0074723Z return mod(*inputs) 2025-08-14T21:51:24.0074925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0074989Z x = self.forward_features(x) 2025-08-14T21:51:24.0075204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0075275Z x = self.blocks(x) 2025-08-14T21:51:24.0075516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0075574Z x = self.se(x) 2025-08-14T21:51:24.0075787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:24.0075852Z x_se = self.act1(x_se) 2025-08-14T21:51:24.0075855Z 2025-08-14T21:51:24.0075957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0076138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0076197Z return mod(*inputs) 2025-08-14T21:51:24.0076402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0076467Z x = self.forward_features(x) 2025-08-14T21:51:24.0076681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0076766Z x = self.blocks(x) 2025-08-14T21:51:24.0076978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0077042Z x = self.se(x) 2025-08-14T21:51:24.0077250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:24.0077319Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:24.0077323Z 2025-08-14T21:51:24.0077423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0077606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0077672Z return mod(*inputs) 2025-08-14T21:51:24.0077870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0077935Z x = self.forward_features(x) 2025-08-14T21:51:24.0078164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0078242Z x = self.blocks(x) 2025-08-14T21:51:24.0078450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0078516Z x = self.se(x) 2025-08-14T21:51:24.0078722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0078793Z return x * self.gate(x_se) 2025-08-14T21:51:24.0078797Z 2025-08-14T21:51:24.0078887Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0079068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0079136Z return mod(*inputs) 2025-08-14T21:51:24.0079331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0079396Z x = self.forward_features(x) 2025-08-14T21:51:24.0079622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0079681Z x = self.blocks(x) 2025-08-14T21:51:24.0079898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0079954Z x = self.se(x) 2025-08-14T21:51:24.0080158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0080230Z return x * self.gate(x_se) 2025-08-14T21:51:24.0080233Z 2025-08-14T21:51:24.0080305Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0080398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0080585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0080646Z return mod(*inputs) 2025-08-14T21:51:24.0080863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0080944Z x = self.forward_features(x) 2025-08-14T21:51:24.0081155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0081221Z x = self.blocks(x) 2025-08-14T21:51:24.0081428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0081491Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0081689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0081787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0081991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0082089Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0082112Z 2025-08-14T21:51:24.0082188Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0082290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0082469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0082538Z return mod(*inputs) 2025-08-14T21:51:24.0082732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0082797Z x = self.forward_features(x) 2025-08-14T21:51:24.0083021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0083081Z x = self.blocks(x) 2025-08-14T21:51:24.0083286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0083359Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0083551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0083673Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0083877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0083972Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0083975Z 2025-08-14T21:51:24.0084058Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0084131Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0084224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0084412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0084473Z return mod(*inputs) 2025-08-14T21:51:24.0084676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0084743Z x = self.forward_features(x) 2025-08-14T21:51:24.0084960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0085029Z x = self.blocks(x) 2025-08-14T21:51:24.0085234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0085296Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0085492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0085555Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0085558Z 2025-08-14T21:51:24.0085659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0085837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0085898Z return mod(*inputs) 2025-08-14T21:51:24.0086096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0086201Z x = self.forward_features(x) 2025-08-14T21:51:24.0086416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0086485Z x = self.blocks(x) 2025-08-14T21:51:24.0086692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:24.0086768Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:24.0086772Z 2025-08-14T21:51:24.0086864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0087044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0087112Z return mod(*inputs) 2025-08-14T21:51:24.0087306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0087378Z x = self.forward_features(x) 2025-08-14T21:51:24.0087608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0087671Z x = self.blocks(x) 2025-08-14T21:51:24.0087887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0087948Z x = self.conv_pw(x) 2025-08-14T21:51:24.0088140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0088243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0088441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0088543Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0088546Z 2025-08-14T21:51:24.0088637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0088818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0088891Z return mod(*inputs) 2025-08-14T21:51:24.0089103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0089170Z x = self.forward_features(x) 2025-08-14T21:51:24.0089392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0089451Z x = self.blocks(x) 2025-08-14T21:51:24.0089668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0089728Z x = self.conv_pw(x) 2025-08-14T21:51:24.0089917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0090023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0090224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0090328Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0090333Z 2025-08-14T21:51:24.0090408Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0090481Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0090584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0090765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0090825Z return mod(*inputs) 2025-08-14T21:51:24.0091029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0091095Z x = self.forward_features(x) 2025-08-14T21:51:24.0091319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0091380Z x = self.blocks(x) 2025-08-14T21:51:24.0091627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0091710Z x = self.conv_pw(x) 2025-08-14T21:51:24.0091900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0091962Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0091965Z 2025-08-14T21:51:24.0092064Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0092241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0092307Z return mod(*inputs) 2025-08-14T21:51:24.0092501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0092567Z x = self.forward_features(x) 2025-08-14T21:51:24.0092788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0092862Z x = self.blocks(x) 2025-08-14T21:51:24.0093073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0093139Z x = self.bn1(x) 2025-08-14T21:51:24.0093322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0093388Z x = F.batch_norm( 2025-08-14T21:51:24.0093392Z 2025-08-14T21:51:24.0093483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0093664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0093732Z return mod(*inputs) 2025-08-14T21:51:24.0093926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0093990Z x = self.forward_features(x) 2025-08-14T21:51:24.0094279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0094350Z x = self.blocks(x) 2025-08-14T21:51:24.0094593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0094655Z x = self.bn1(x) 2025-08-14T21:51:24.0094844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:24.0094913Z x = self.act(x) 2025-08-14T21:51:24.0094917Z 2025-08-14T21:51:24.0094993Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0095100Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0095289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0095350Z return mod(*inputs) 2025-08-14T21:51:24.0095557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0095623Z x = self.forward_features(x) 2025-08-14T21:51:24.0095843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0095915Z x = self.blocks(x) 2025-08-14T21:51:24.0096124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0096188Z x = self.conv_dw(x) 2025-08-14T21:51:24.0096395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0096494Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0096708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0096807Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0096810Z 2025-08-14T21:51:24.0096887Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0096994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0097211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0097284Z return mod(*inputs) 2025-08-14T21:51:24.0097485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0097553Z x = self.forward_features(x) 2025-08-14T21:51:24.0097782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0097844Z x = self.blocks(x) 2025-08-14T21:51:24.0098057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0098126Z x = self.conv_dw(x) 2025-08-14T21:51:24.0098321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0098425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0098645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0098746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0098749Z 2025-08-14T21:51:24.0098835Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0098934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0099125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0099197Z return mod(*inputs) 2025-08-14T21:51:24.0099402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0099478Z x = self.forward_features(x) 2025-08-14T21:51:24.0099701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0099765Z x = self.blocks(x) 2025-08-14T21:51:24.0099990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0100069Z x = self.conv_dw(x) 2025-08-14T21:51:24.0100263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0100531Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0100743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0100849Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0100853Z 2025-08-14T21:51:24.0100931Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0101028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0101228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0101293Z return mod(*inputs) 2025-08-14T21:51:24.0101510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0101582Z x = self.forward_features(x) 2025-08-14T21:51:24.0101809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0101879Z x = self.blocks(x) 2025-08-14T21:51:24.0102094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0102158Z x = self.conv_dw(x) 2025-08-14T21:51:24.0102365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0102461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0102676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0102771Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0102810Z 2025-08-14T21:51:24.0102910Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0102995Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0103069Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0103142Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0103249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0103436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0103504Z return mod(*inputs) 2025-08-14T21:51:24.0103704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0103771Z x = self.forward_features(x) 2025-08-14T21:51:24.0104000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0104063Z x = self.blocks(x) 2025-08-14T21:51:24.0104302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0104374Z x = self.conv_dw(x) 2025-08-14T21:51:24.0104572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0104644Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0104648Z 2025-08-14T21:51:24.0104719Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0104815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0105008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0105069Z return mod(*inputs) 2025-08-14T21:51:24.0105270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0105345Z x = self.forward_features(x) 2025-08-14T21:51:24.0105565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0105637Z x = self.blocks(x) 2025-08-14T21:51:24.0105880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0105941Z x = self.se(x) 2025-08-14T21:51:24.0106157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:24.0106228Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:24.0106231Z 2025-08-14T21:51:24.0106326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0106522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0106584Z return mod(*inputs) 2025-08-14T21:51:24.0106793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0106860Z x = self.forward_features(x) 2025-08-14T21:51:24.0107083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0107156Z x = self.blocks(x) 2025-08-14T21:51:24.0107369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0107427Z x = self.se(x) 2025-08-14T21:51:24.0107646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:24.0107715Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:24.0107719Z 2025-08-14T21:51:24.0107821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0108012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0108074Z return mod(*inputs) 2025-08-14T21:51:24.0108289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0108357Z x = self.forward_features(x) 2025-08-14T21:51:24.0108608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0108667Z x = self.blocks(x) 2025-08-14T21:51:24.0108874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0108941Z x = self.se(x) 2025-08-14T21:51:24.0109148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:24.0109211Z x_se = self.act1(x_se) 2025-08-14T21:51:24.0109215Z 2025-08-14T21:51:24.0109317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0109502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0109570Z return mod(*inputs) 2025-08-14T21:51:24.0109765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0109849Z x = self.forward_features(x) 2025-08-14T21:51:24.0110078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0110138Z x = self.blocks(x) 2025-08-14T21:51:24.0110351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0110417Z x = self.se(x) 2025-08-14T21:51:24.0110628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:24.0110702Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:24.0110705Z 2025-08-14T21:51:24.0110797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0110985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0111053Z return mod(*inputs) 2025-08-14T21:51:24.0111256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0111334Z x = self.forward_features(x) 2025-08-14T21:51:24.0111552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0111611Z x = self.blocks(x) 2025-08-14T21:51:24.0111822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0111880Z x = self.se(x) 2025-08-14T21:51:24.0112083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0112154Z return x * self.gate(x_se) 2025-08-14T21:51:24.0112157Z 2025-08-14T21:51:24.0112248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0112435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0112497Z return mod(*inputs) 2025-08-14T21:51:24.0112694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0112766Z x = self.forward_features(x) 2025-08-14T21:51:24.0112977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0113037Z x = self.blocks(x) 2025-08-14T21:51:24.0113246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0113302Z x = self.se(x) 2025-08-14T21:51:24.0113510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0113576Z return x * self.gate(x_se) 2025-08-14T21:51:24.0113579Z 2025-08-14T21:51:24.0113651Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0113749Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0113957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0114019Z return mod(*inputs) 2025-08-14T21:51:24.0114224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0114288Z x = self.forward_features(x) 2025-08-14T21:51:24.0114512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0114571Z x = self.blocks(x) 2025-08-14T21:51:24.0114779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0114848Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0115041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0115137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0115362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0115459Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0115463Z 2025-08-14T21:51:24.0115542Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0115635Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0115817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0115885Z return mod(*inputs) 2025-08-14T21:51:24.0116079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0116143Z x = self.forward_features(x) 2025-08-14T21:51:24.0116363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0116420Z x = self.blocks(x) 2025-08-14T21:51:24.0116633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0116712Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0116901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0117005Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0117202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0117302Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0117305Z 2025-08-14T21:51:24.0117378Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0117452Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0117551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0117732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0117794Z return mod(*inputs) 2025-08-14T21:51:24.0118000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0118065Z x = self.forward_features(x) 2025-08-14T21:51:24.0118283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0118342Z x = self.blocks(x) 2025-08-14T21:51:24.0118547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0118616Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0118806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0118869Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0118873Z 2025-08-14T21:51:24.0118971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0119151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0119489Z return mod(*inputs) 2025-08-14T21:51:24.0119687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0119753Z x = self.forward_features(x) 2025-08-14T21:51:24.0119974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0120033Z x = self.blocks(x) 2025-08-14T21:51:24.0120238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:24.0120315Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:24.0120318Z 2025-08-14T21:51:24.0120412Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0120599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0120678Z return mod(*inputs) 2025-08-14T21:51:24.0120882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0120959Z x = self.forward_features(x) 2025-08-14T21:51:24.0121174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0121234Z x = self.blocks(x) 2025-08-14T21:51:24.0121448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0121509Z x = self.conv_pw(x) 2025-08-14T21:51:24.0121513Z 2025-08-14T21:51:24.0121614Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0121796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0121858Z return mod(*inputs) 2025-08-14T21:51:24.0122062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0122131Z x = self.forward_features(x) 2025-08-14T21:51:24.0122369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0122429Z x = self.blocks(x) 2025-08-14T21:51:24.0122635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0122698Z x = self.bn1(x) 2025-08-14T21:51:24.0122880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0122939Z x = F.batch_norm( 2025-08-14T21:51:24.0122942Z 2025-08-14T21:51:24.0123041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0123220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0123287Z return mod(*inputs) 2025-08-14T21:51:24.0123479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0123547Z x = self.forward_features(x) 2025-08-14T21:51:24.0123767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0123825Z x = self.blocks(x) 2025-08-14T21:51:24.0124033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0124098Z x = self.bn1(x) 2025-08-14T21:51:24.0124282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:24.0124346Z x = self.act(x) 2025-08-14T21:51:24.0124350Z 2025-08-14T21:51:24.0124442Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0124623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0124690Z return mod(*inputs) 2025-08-14T21:51:24.0124900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0124981Z x = self.forward_features(x) 2025-08-14T21:51:24.0125205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0125264Z x = self.blocks(x) 2025-08-14T21:51:24.0125477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0125537Z x = self.conv_dw(x) 2025-08-14T21:51:24.0125726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0125832Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0126030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0126126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0126349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:24.0126411Z return conv2d_same( 2025-08-14T21:51:24.0126615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:24.0126715Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:24.0126902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:24.0127052Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:24.0127231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:24.0127333Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:24.0127336Z 2025-08-14T21:51:24.0127430Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0127618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0127700Z return mod(*inputs) 2025-08-14T21:51:24.0127899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0127965Z x = self.forward_features(x) 2025-08-14T21:51:24.0128189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0128250Z x = self.blocks(x) 2025-08-14T21:51:24.0128463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0128525Z x = self.conv_dw(x) 2025-08-14T21:51:24.0128716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0128819Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0129021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0129121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0129318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:24.0129379Z return conv2d_same( 2025-08-14T21:51:24.0129585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:24.0129714Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:24.0129717Z 2025-08-14T21:51:24.0129814Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0130004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0130065Z return mod(*inputs) 2025-08-14T21:51:24.0130271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0130363Z x = self.forward_features(x) 2025-08-14T21:51:24.0130581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0130647Z x = self.blocks(x) 2025-08-14T21:51:24.0130854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0130914Z x = self.conv_dw(x) 2025-08-14T21:51:24.0131110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0131206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0131411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0131504Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0131713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:24.0131780Z return conv2d_same( 2025-08-14T21:51:24.0131977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:24.0132074Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:24.0132265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:24.0132398Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:24.0132583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:24.0132676Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:24.0132680Z 2025-08-14T21:51:24.0132775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0132966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0133032Z return mod(*inputs) 2025-08-14T21:51:24.0133248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0133317Z x = self.forward_features(x) 2025-08-14T21:51:24.0133536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0133602Z x = self.blocks(x) 2025-08-14T21:51:24.0133816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0133878Z x = self.conv_dw(x) 2025-08-14T21:51:24.0134149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0134252Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0134465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0134567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0134767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:24.0134838Z return conv2d_same( 2025-08-14T21:51:24.0135041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:24.0135169Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:24.0135181Z 2025-08-14T21:51:24.0135289Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0135470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0135539Z return mod(*inputs) 2025-08-14T21:51:24.0135766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0135835Z x = self.forward_features(x) 2025-08-14T21:51:24.0136101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0136164Z x = self.blocks(x) 2025-08-14T21:51:24.0136387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0136448Z x = self.conv_dw(x) 2025-08-14T21:51:24.0136647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0136753Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0136957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0137054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0137262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:24.0137341Z return conv2d_same( 2025-08-14T21:51:24.0137550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:24.0137648Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:24.0137839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:24.0137978Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:24.0138162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:24.0138256Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:24.0138266Z 2025-08-14T21:51:24.0138364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0138551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0138623Z return mod(*inputs) 2025-08-14T21:51:24.0138841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0138909Z x = self.forward_features(x) 2025-08-14T21:51:24.0139138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0139199Z x = self.blocks(x) 2025-08-14T21:51:24.0139422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0139483Z x = self.conv_dw(x) 2025-08-14T21:51:24.0139679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0139783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0139990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0140089Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0140300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:24.0140361Z return conv2d_same( 2025-08-14T21:51:24.0140573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:24.0140696Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:24.0140700Z 2025-08-14T21:51:24.0140798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0140995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0141056Z return mod(*inputs) 2025-08-14T21:51:24.0141258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0141336Z x = self.forward_features(x) 2025-08-14T21:51:24.0141576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0141663Z x = self.blocks(x) 2025-08-14T21:51:24.0141881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0141943Z x = self.conv_dw(x) 2025-08-14T21:51:24.0142144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0142239Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0142449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0142543Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0142737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:24.0142823Z return conv2d_same( 2025-08-14T21:51:24.0143032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:51:24.0143127Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:51:24.0143321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:51:24.0143451Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:51:24.0143638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:51:24.0143729Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:51:24.0143732Z 2025-08-14T21:51:24.0143829Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0144022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0144085Z return mod(*inputs) 2025-08-14T21:51:24.0144288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0144379Z x = self.forward_features(x) 2025-08-14T21:51:24.0144603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0144671Z x = self.blocks(x) 2025-08-14T21:51:24.0144885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0144947Z x = self.conv_dw(x) 2025-08-14T21:51:24.0145149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0145244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0145454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0145553Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0145752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:51:24.0145819Z return conv2d_same( 2025-08-14T21:51:24.0146022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:51:24.0146145Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:51:24.0146148Z 2025-08-14T21:51:24.0146234Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0146309Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0146388Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0146460Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0146556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0146752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0146815Z return mod(*inputs) 2025-08-14T21:51:24.0147061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0147139Z x = self.forward_features(x) 2025-08-14T21:51:24.0147369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0147435Z x = self.blocks(x) 2025-08-14T21:51:24.0147644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0147704Z x = self.conv_dw(x) 2025-08-14T21:51:24.0147905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0147968Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0147971Z 2025-08-14T21:51:24.0148041Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0148143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0148342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0148412Z return mod(*inputs) 2025-08-14T21:51:24.0148608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0148674Z x = self.forward_features(x) 2025-08-14T21:51:24.0148895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0148954Z x = self.blocks(x) 2025-08-14T21:51:24.0149159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0149224Z x = self.se(x) 2025-08-14T21:51:24.0149431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:24.0149511Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:24.0149514Z 2025-08-14T21:51:24.0149609Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0149808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0149879Z return mod(*inputs) 2025-08-14T21:51:24.0150075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0150141Z x = self.forward_features(x) 2025-08-14T21:51:24.0150363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0150422Z x = self.blocks(x) 2025-08-14T21:51:24.0150636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0150693Z x = self.se(x) 2025-08-14T21:51:24.0150898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:24.0150975Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:24.0150980Z 2025-08-14T21:51:24.0151073Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0151254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0151322Z return mod(*inputs) 2025-08-14T21:51:24.0151516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0151588Z x = self.forward_features(x) 2025-08-14T21:51:24.0151803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0151863Z x = self.blocks(x) 2025-08-14T21:51:24.0152077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0152134Z x = self.se(x) 2025-08-14T21:51:24.0152344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:24.0152436Z x_se = self.act1(x_se) 2025-08-14T21:51:24.0152440Z 2025-08-14T21:51:24.0152534Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0152719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0152779Z return mod(*inputs) 2025-08-14T21:51:24.0152973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0153046Z x = self.forward_features(x) 2025-08-14T21:51:24.0153259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0153326Z x = self.blocks(x) 2025-08-14T21:51:24.0153531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0153587Z x = self.se(x) 2025-08-14T21:51:24.0153798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:24.0153881Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:24.0153886Z 2025-08-14T21:51:24.0153978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0154164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0154224Z return mod(*inputs) 2025-08-14T21:51:24.0154423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0154489Z x = self.forward_features(x) 2025-08-14T21:51:24.0154703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0154769Z x = self.blocks(x) 2025-08-14T21:51:24.0154974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0155033Z x = self.se(x) 2025-08-14T21:51:24.0155248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0155325Z return x * self.gate(x_se) 2025-08-14T21:51:24.0155329Z 2025-08-14T21:51:24.0155431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0155612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0155672Z return mod(*inputs) 2025-08-14T21:51:24.0155870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0155935Z x = self.forward_features(x) 2025-08-14T21:51:24.0156147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0156213Z x = self.blocks(x) 2025-08-14T21:51:24.0156418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0156485Z x = self.se(x) 2025-08-14T21:51:24.0156688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0156752Z return x * self.gate(x_se) 2025-08-14T21:51:24.0156755Z 2025-08-14T21:51:24.0156854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0157033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0157101Z return mod(*inputs) 2025-08-14T21:51:24.0157293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0157359Z x = self.forward_features(x) 2025-08-14T21:51:24.0157580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0157639Z x = self.blocks(x) 2025-08-14T21:51:24.0157860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0157947Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0157952Z 2025-08-14T21:51:24.0158046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0158234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0158295Z return mod(*inputs) 2025-08-14T21:51:24.0158492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0158565Z x = self.forward_features(x) 2025-08-14T21:51:24.0158780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0158840Z x = self.blocks(x) 2025-08-14T21:51:24.0159055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:51:24.0159128Z x = self.bn3(x) 2025-08-14T21:51:24.0159324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0159386Z x = F.batch_norm( 2025-08-14T21:51:24.0159390Z 2025-08-14T21:51:24.0159482Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0159672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0159733Z return mod(*inputs) 2025-08-14T21:51:24.0159928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0160001Z x = self.forward_features(x) 2025-08-14T21:51:24.0160217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0160283Z x = self.blocks(x) 2025-08-14T21:51:24.0160489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0160553Z x = self.conv_pw(x) 2025-08-14T21:51:24.0160556Z 2025-08-14T21:51:24.0160671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0160853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0160918Z return mod(*inputs) 2025-08-14T21:51:24.0161112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0161177Z x = self.forward_features(x) 2025-08-14T21:51:24.0161405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0161464Z x = self.blocks(x) 2025-08-14T21:51:24.0161672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0161739Z x = self.bn1(x) 2025-08-14T21:51:24.0161929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0161996Z x = F.batch_norm( 2025-08-14T21:51:24.0161999Z 2025-08-14T21:51:24.0162093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0162274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0162341Z return mod(*inputs) 2025-08-14T21:51:24.0162536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0162602Z x = self.forward_features(x) 2025-08-14T21:51:24.0162824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0162883Z x = self.blocks(x) 2025-08-14T21:51:24.0163099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0163158Z x = self.bn1(x) 2025-08-14T21:51:24.0163357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:24.0163438Z x = self.act(x) 2025-08-14T21:51:24.0163442Z 2025-08-14T21:51:24.0163518Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0163611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0163804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0163863Z return mod(*inputs) 2025-08-14T21:51:24.0164067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0164135Z x = self.forward_features(x) 2025-08-14T21:51:24.0164349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0164414Z x = self.blocks(x) 2025-08-14T21:51:24.0164622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0164699Z x = self.conv_dw(x) 2025-08-14T21:51:24.0164898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0164996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0165204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0165300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0165303Z 2025-08-14T21:51:24.0165378Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0165479Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0165660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0165719Z return mod(*inputs) 2025-08-14T21:51:24.0165920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0165987Z x = self.forward_features(x) 2025-08-14T21:51:24.0166225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0166284Z x = self.blocks(x) 2025-08-14T21:51:24.0166492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0166560Z x = self.conv_dw(x) 2025-08-14T21:51:24.0166749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0166848Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0167054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0167146Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0167151Z 2025-08-14T21:51:24.0167231Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0167329Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0167515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0167582Z return mod(*inputs) 2025-08-14T21:51:24.0167780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0167850Z x = self.forward_features(x) 2025-08-14T21:51:24.0168068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0168126Z x = self.blocks(x) 2025-08-14T21:51:24.0168345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0168404Z x = self.conv_dw(x) 2025-08-14T21:51:24.0168596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0168736Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0168932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0169031Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0169034Z 2025-08-14T21:51:24.0169109Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0169203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0169390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0169450Z return mod(*inputs) 2025-08-14T21:51:24.0169645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0169717Z x = self.forward_features(x) 2025-08-14T21:51:24.0169929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0170014Z x = self.blocks(x) 2025-08-14T21:51:24.0170222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0170281Z x = self.conv_dw(x) 2025-08-14T21:51:24.0170479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0170572Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0170773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0170867Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0170870Z 2025-08-14T21:51:24.0170944Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0171025Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0171097Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0171169Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0171272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0171472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0171543Z return mod(*inputs) 2025-08-14T21:51:24.0171736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0171801Z x = self.forward_features(x) 2025-08-14T21:51:24.0172024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0172083Z x = self.blocks(x) 2025-08-14T21:51:24.0172291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0172359Z x = self.conv_dw(x) 2025-08-14T21:51:24.0172548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0172623Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0172626Z 2025-08-14T21:51:24.0172699Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0172794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0172982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0173042Z return mod(*inputs) 2025-08-14T21:51:24.0173239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0173310Z x = self.forward_features(x) 2025-08-14T21:51:24.0173527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0173592Z x = self.blocks(x) 2025-08-14T21:51:24.0173804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0173866Z x = self.se(x) 2025-08-14T21:51:24.0174182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:24.0174264Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:24.0174268Z 2025-08-14T21:51:24.0174367Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0174565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0174628Z return mod(*inputs) 2025-08-14T21:51:24.0174837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0174904Z x = self.forward_features(x) 2025-08-14T21:51:24.0175187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0175255Z x = self.blocks(x) 2025-08-14T21:51:24.0175460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0175536Z x = self.se(x) 2025-08-14T21:51:24.0175757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:24.0175826Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:24.0175830Z 2025-08-14T21:51:24.0175933Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0176116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0176179Z return mod(*inputs) 2025-08-14T21:51:24.0176384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0176449Z x = self.forward_features(x) 2025-08-14T21:51:24.0176666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0176734Z x = self.blocks(x) 2025-08-14T21:51:24.0176944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0177008Z x = self.se(x) 2025-08-14T21:51:24.0177250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:24.0177316Z x_se = self.act1(x_se) 2025-08-14T21:51:24.0177319Z 2025-08-14T21:51:24.0177419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0177602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0177669Z return mod(*inputs) 2025-08-14T21:51:24.0177863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0177927Z x = self.forward_features(x) 2025-08-14T21:51:24.0178149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0178209Z x = self.blocks(x) 2025-08-14T21:51:24.0178420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0178485Z x = self.se(x) 2025-08-14T21:51:24.0178690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:24.0178764Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:24.0178767Z 2025-08-14T21:51:24.0178861Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0179044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0179109Z return mod(*inputs) 2025-08-14T21:51:24.0179305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0179369Z x = self.forward_features(x) 2025-08-14T21:51:24.0179589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0179676Z x = self.blocks(x) 2025-08-14T21:51:24.0179892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0179949Z x = self.se(x) 2025-08-14T21:51:24.0180154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0180225Z return x * self.gate(x_se) 2025-08-14T21:51:24.0180228Z 2025-08-14T21:51:24.0180320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0180500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0180564Z return mod(*inputs) 2025-08-14T21:51:24.0180759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0180829Z x = self.forward_features(x) 2025-08-14T21:51:24.0181054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0181115Z x = self.blocks(x) 2025-08-14T21:51:24.0181329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0181385Z x = self.se(x) 2025-08-14T21:51:24.0181586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0181659Z return x * self.gate(x_se) 2025-08-14T21:51:24.0181662Z 2025-08-14T21:51:24.0181737Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0181837Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0182016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0182076Z return mod(*inputs) 2025-08-14T21:51:24.0182279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0182347Z x = self.forward_features(x) 2025-08-14T21:51:24.0182580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0182641Z x = self.blocks(x) 2025-08-14T21:51:24.0182848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0182918Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0183111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0183209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0183417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0183513Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0183518Z 2025-08-14T21:51:24.0183600Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0183697Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0183879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0183947Z return mod(*inputs) 2025-08-14T21:51:24.0184141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0184207Z x = self.forward_features(x) 2025-08-14T21:51:24.0184427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0184487Z x = self.blocks(x) 2025-08-14T21:51:24.0184700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0184764Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0184957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0185095Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0185294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0185388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0185398Z 2025-08-14T21:51:24.0185472Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0185543Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0185643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0185821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0185880Z return mod(*inputs) 2025-08-14T21:51:24.0186079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0186143Z x = self.forward_features(x) 2025-08-14T21:51:24.0186372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0186442Z x = self.blocks(x) 2025-08-14T21:51:24.0186648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0186721Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0186912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0186975Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0186978Z 2025-08-14T21:51:24.0187080Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0187262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0187329Z return mod(*inputs) 2025-08-14T21:51:24.0187524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0187591Z x = self.forward_features(x) 2025-08-14T21:51:24.0187845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0187904Z x = self.blocks(x) 2025-08-14T21:51:24.0188110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:24.0188187Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:24.0188191Z 2025-08-14T21:51:24.0188283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0188472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0188531Z return mod(*inputs) 2025-08-14T21:51:24.0188725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0188796Z x = self.forward_features(x) 2025-08-14T21:51:24.0189009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0189070Z x = self.blocks(x) 2025-08-14T21:51:24.0189286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0189348Z x = self.conv_pw(x) 2025-08-14T21:51:24.0189351Z 2025-08-14T21:51:24.0189449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0189630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0189689Z return mod(*inputs) 2025-08-14T21:51:24.0189887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0189952Z x = self.forward_features(x) 2025-08-14T21:51:24.0190163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0190229Z x = self.blocks(x) 2025-08-14T21:51:24.0190452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0190532Z x = self.bn1(x) 2025-08-14T21:51:24.0190714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0190771Z x = F.batch_norm( 2025-08-14T21:51:24.0190774Z 2025-08-14T21:51:24.0190872Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0191050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0191118Z return mod(*inputs) 2025-08-14T21:51:24.0191311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0191375Z x = self.forward_features(x) 2025-08-14T21:51:24.0191594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0191667Z x = self.blocks(x) 2025-08-14T21:51:24.0191877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0191944Z x = self.bn1(x) 2025-08-14T21:51:24.0192128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:24.0192190Z x = self.act(x) 2025-08-14T21:51:24.0192193Z 2025-08-14T21:51:24.0192267Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0192360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0192548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0192608Z return mod(*inputs) 2025-08-14T21:51:24.0192803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0192874Z x = self.forward_features(x) 2025-08-14T21:51:24.0193091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0193157Z x = self.blocks(x) 2025-08-14T21:51:24.0193379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0193441Z x = self.conv_dw(x) 2025-08-14T21:51:24.0193637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0193733Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0193930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0194034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0194038Z 2025-08-14T21:51:24.0194110Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0194212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0194396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0194459Z return mod(*inputs) 2025-08-14T21:51:24.0194661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0194725Z x = self.forward_features(x) 2025-08-14T21:51:24.0194939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0195005Z x = self.blocks(x) 2025-08-14T21:51:24.0195210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0195278Z x = self.conv_dw(x) 2025-08-14T21:51:24.0195468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0195564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0195785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0195894Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0195897Z 2025-08-14T21:51:24.0195979Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0196073Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0196254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0196323Z return mod(*inputs) 2025-08-14T21:51:24.0196519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0196583Z x = self.forward_features(x) 2025-08-14T21:51:24.0196807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0196867Z x = self.blocks(x) 2025-08-14T21:51:24.0197100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0197160Z x = self.conv_dw(x) 2025-08-14T21:51:24.0197349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0197449Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0197646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0197737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0197741Z 2025-08-14T21:51:24.0197823Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0197915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0198102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0198163Z return mod(*inputs) 2025-08-14T21:51:24.0198360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0198435Z x = self.forward_features(x) 2025-08-14T21:51:24.0198662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0198725Z x = self.blocks(x) 2025-08-14T21:51:24.0198942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0199001Z x = self.conv_dw(x) 2025-08-14T21:51:24.0199201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0199295Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0199496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0199598Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0199603Z 2025-08-14T21:51:24.0199679Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0199751Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0199830Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0199902Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0200004Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0200190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0200251Z return mod(*inputs) 2025-08-14T21:51:24.0200618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0200690Z x = self.forward_features(x) 2025-08-14T21:51:24.0200911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0200981Z x = self.blocks(x) 2025-08-14T21:51:24.0201223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0201316Z x = self.conv_dw(x) 2025-08-14T21:51:24.0201509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0201574Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0201578Z 2025-08-14T21:51:24.0201659Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0201752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0201936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0202004Z return mod(*inputs) 2025-08-14T21:51:24.0202199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0202270Z x = self.forward_features(x) 2025-08-14T21:51:24.0202484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0202569Z x = self.blocks(x) 2025-08-14T21:51:24.0202791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0202848Z x = self.se(x) 2025-08-14T21:51:24.0203056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:24.0203134Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:24.0203137Z 2025-08-14T21:51:24.0203231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0203420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0203480Z return mod(*inputs) 2025-08-14T21:51:24.0203676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0203748Z x = self.forward_features(x) 2025-08-14T21:51:24.0203963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0204029Z x = self.blocks(x) 2025-08-14T21:51:24.0204255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0204311Z x = self.se(x) 2025-08-14T21:51:24.0204523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:24.0204591Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:24.0204594Z 2025-08-14T21:51:24.0204688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0204874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0204934Z return mod(*inputs) 2025-08-14T21:51:24.0205134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0205200Z x = self.forward_features(x) 2025-08-14T21:51:24.0205417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0205485Z x = self.blocks(x) 2025-08-14T21:51:24.0205692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0205747Z x = self.se(x) 2025-08-14T21:51:24.0205960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:24.0206024Z x_se = self.act1(x_se) 2025-08-14T21:51:24.0206027Z 2025-08-14T21:51:24.0206125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0206309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0206369Z return mod(*inputs) 2025-08-14T21:51:24.0206573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0206670Z x = self.forward_features(x) 2025-08-14T21:51:24.0206884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0206952Z x = self.blocks(x) 2025-08-14T21:51:24.0207158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0207221Z x = self.se(x) 2025-08-14T21:51:24.0207425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:24.0207492Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:24.0207495Z 2025-08-14T21:51:24.0207598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0207778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0207847Z return mod(*inputs) 2025-08-14T21:51:24.0208065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0208132Z x = self.forward_features(x) 2025-08-14T21:51:24.0208351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0208410Z x = self.blocks(x) 2025-08-14T21:51:24.0208615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0208680Z x = self.se(x) 2025-08-14T21:51:24.0208883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0208953Z return x * self.gate(x_se) 2025-08-14T21:51:24.0208956Z 2025-08-14T21:51:24.0209048Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0209228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0209297Z return mod(*inputs) 2025-08-14T21:51:24.0209492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0209600Z x = self.forward_features(x) 2025-08-14T21:51:24.0209820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0209879Z x = self.blocks(x) 2025-08-14T21:51:24.0210097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0210154Z x = self.se(x) 2025-08-14T21:51:24.0210357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0210428Z return x * self.gate(x_se) 2025-08-14T21:51:24.0210431Z 2025-08-14T21:51:24.0210505Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0210598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0210788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0210851Z return mod(*inputs) 2025-08-14T21:51:24.0211053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0211119Z x = self.forward_features(x) 2025-08-14T21:51:24.0211331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0211398Z x = self.blocks(x) 2025-08-14T21:51:24.0211605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0211667Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0211862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0211960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0212184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0212298Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0212301Z 2025-08-14T21:51:24.0212375Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0212476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0212658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0212726Z return mod(*inputs) 2025-08-14T21:51:24.0212919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0212985Z x = self.forward_features(x) 2025-08-14T21:51:24.0213208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0213268Z x = self.blocks(x) 2025-08-14T21:51:24.0213491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0213563Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0213779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0213884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0214142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0214244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0214248Z 2025-08-14T21:51:24.0214332Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0214405Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0214502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0214697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0214761Z return mod(*inputs) 2025-08-14T21:51:24.0214973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0215061Z x = self.forward_features(x) 2025-08-14T21:51:24.0215290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0215357Z x = self.blocks(x) 2025-08-14T21:51:24.0215565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0215627Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0215827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0215889Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0215892Z 2025-08-14T21:51:24.0215993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0216176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0216241Z return mod(*inputs) 2025-08-14T21:51:24.0216444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0216509Z x = self.forward_features(x) 2025-08-14T21:51:24.0216722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0216791Z x = self.blocks(x) 2025-08-14T21:51:24.0216997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:24.0217074Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:24.0217077Z 2025-08-14T21:51:24.0217170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0217350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0217418Z return mod(*inputs) 2025-08-14T21:51:24.0217634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0217724Z x = self.forward_features(x) 2025-08-14T21:51:24.0217950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0218011Z x = self.blocks(x) 2025-08-14T21:51:24.0218232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:51:24.0218294Z x = self.conv_pw(x) 2025-08-14T21:51:24.0218297Z 2025-08-14T21:51:24.0218393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0218586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0218648Z return mod(*inputs) 2025-08-14T21:51:24.0218855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0218938Z x = self.forward_features(x) 2025-08-14T21:51:24.0219165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0219232Z x = self.blocks(x) 2025-08-14T21:51:24.0219444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0219503Z x = self.bn1(x) 2025-08-14T21:51:24.0219702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:51:24.0219765Z x = F.batch_norm( 2025-08-14T21:51:24.0219768Z 2025-08-14T21:51:24.0219869Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0220053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0220114Z return mod(*inputs) 2025-08-14T21:51:24.0220320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0220391Z x = self.forward_features(x) 2025-08-14T21:51:24.0220632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0220702Z x = self.blocks(x) 2025-08-14T21:51:24.0220913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:51:24.0220979Z x = self.bn1(x) 2025-08-14T21:51:24.0221168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:51:24.0221226Z x = self.act(x) 2025-08-14T21:51:24.0221229Z 2025-08-14T21:51:24.0221315Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0221408Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0221593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0221664Z return mod(*inputs) 2025-08-14T21:51:24.0221866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0221943Z x = self.forward_features(x) 2025-08-14T21:51:24.0222164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0222225Z x = self.blocks(x) 2025-08-14T21:51:24.0222446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0222507Z x = self.conv_dw(x) 2025-08-14T21:51:24.0222703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0222809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0223014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0223120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0223154Z 2025-08-14T21:51:24.0223231Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0223326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0223520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0223581Z return mod(*inputs) 2025-08-14T21:51:24.0223787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0223854Z x = self.forward_features(x) 2025-08-14T21:51:24.0224074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0224141Z x = self.blocks(x) 2025-08-14T21:51:24.0224352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0224414Z x = self.conv_dw(x) 2025-08-14T21:51:24.0224633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0224734Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0224944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0225041Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0225045Z 2025-08-14T21:51:24.0225119Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0225225Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0225409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0225472Z return mod(*inputs) 2025-08-14T21:51:24.0225679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0225745Z x = self.forward_features(x) 2025-08-14T21:51:24.0225973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0226049Z x = self.blocks(x) 2025-08-14T21:51:24.0226261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0226330Z x = self.conv_dw(x) 2025-08-14T21:51:24.0226525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0226621Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0226831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0226926Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0226929Z 2025-08-14T21:51:24.0227009Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0227104Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0227294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0227367Z return mod(*inputs) 2025-08-14T21:51:24.0227569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0227642Z x = self.forward_features(x) 2025-08-14T21:51:24.0227861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0227921Z x = self.blocks(x) 2025-08-14T21:51:24.0228140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0228201Z x = self.conv_dw(x) 2025-08-14T21:51:24.0228397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0228499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0228719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0228850Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0228854Z 2025-08-14T21:51:24.0228932Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0229020Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0229102Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0229174Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0229272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0229466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0229529Z return mod(*inputs) 2025-08-14T21:51:24.0229739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0229806Z x = self.forward_features(x) 2025-08-14T21:51:24.0230031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0230097Z x = self.blocks(x) 2025-08-14T21:51:24.0230303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:51:24.0230362Z x = self.conv_dw(x) 2025-08-14T21:51:24.0230558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0230623Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0230626Z 2025-08-14T21:51:24.0230706Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0230799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0230978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0231047Z return mod(*inputs) 2025-08-14T21:51:24.0231242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0231312Z x = self.forward_features(x) 2025-08-14T21:51:24.0231550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0231611Z x = self.blocks(x) 2025-08-14T21:51:24.0231828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0231886Z x = self.se(x) 2025-08-14T21:51:24.0232093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:51:24.0232173Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:51:24.0232176Z 2025-08-14T21:51:24.0232269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0232449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0232518Z return mod(*inputs) 2025-08-14T21:51:24.0232716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0232792Z x = self.forward_features(x) 2025-08-14T21:51:24.0233008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0233066Z x = self.blocks(x) 2025-08-14T21:51:24.0233281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0233337Z x = self.se(x) 2025-08-14T21:51:24.0233542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:51:24.0233618Z x_se = self.conv_reduce(x_se) 2025-08-14T21:51:24.0233621Z 2025-08-14T21:51:24.0233715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0233905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0233967Z return mod(*inputs) 2025-08-14T21:51:24.0234193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0234266Z x = self.forward_features(x) 2025-08-14T21:51:24.0234479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0234547Z x = self.blocks(x) 2025-08-14T21:51:24.0234753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0234810Z x = self.se(x) 2025-08-14T21:51:24.0235022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:51:24.0235085Z x_se = self.act1(x_se) 2025-08-14T21:51:24.0235089Z 2025-08-14T21:51:24.0235182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0235368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0235447Z return mod(*inputs) 2025-08-14T21:51:24.0235649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0235714Z x = self.forward_features(x) 2025-08-14T21:51:24.0235925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0235992Z x = self.blocks(x) 2025-08-14T21:51:24.0236197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0236254Z x = self.se(x) 2025-08-14T21:51:24.0236468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:51:24.0236535Z x_se = self.conv_expand(x_se) 2025-08-14T21:51:24.0236538Z 2025-08-14T21:51:24.0236638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0236826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0236903Z return mod(*inputs) 2025-08-14T21:51:24.0237106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0237171Z x = self.forward_features(x) 2025-08-14T21:51:24.0237384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0237451Z x = self.blocks(x) 2025-08-14T21:51:24.0237658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0237722Z x = self.se(x) 2025-08-14T21:51:24.0237925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0237989Z return x * self.gate(x_se) 2025-08-14T21:51:24.0237993Z 2025-08-14T21:51:24.0238095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0238278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0238346Z return mod(*inputs) 2025-08-14T21:51:24.0238540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0238603Z x = self.forward_features(x) 2025-08-14T21:51:24.0238823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0238882Z x = self.blocks(x) 2025-08-14T21:51:24.0239088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:51:24.0239153Z x = self.se(x) 2025-08-14T21:51:24.0239358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:51:24.0239430Z return x * self.gate(x_se) 2025-08-14T21:51:24.0239459Z 2025-08-14T21:51:24.0239534Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0239629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0239816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0239876Z return mod(*inputs) 2025-08-14T21:51:24.0240073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0240145Z x = self.forward_features(x) 2025-08-14T21:51:24.0240359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0240424Z x = self.blocks(x) 2025-08-14T21:51:24.0240630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0240692Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0240902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0241003Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0241201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0241305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0241309Z 2025-08-14T21:51:24.0241382Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0241483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0241664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0241724Z return mod(*inputs) 2025-08-14T21:51:24.0241923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0241989Z x = self.forward_features(x) 2025-08-14T21:51:24.0242204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0242287Z x = self.blocks(x) 2025-08-14T21:51:24.0242497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0242566Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0242758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:51:24.0242853Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0243058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:51:24.0243153Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:51:24.0243156Z 2025-08-14T21:51:24.0243236Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0243308Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0243404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0243595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0243658Z return mod(*inputs) 2025-08-14T21:51:24.0243854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0243927Z x = self.forward_features(x) 2025-08-14T21:51:24.0244142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0244210Z x = self.blocks(x) 2025-08-14T21:51:24.0244417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:51:24.0244479Z x = self.conv_pwl(x) 2025-08-14T21:51:24.0244676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:51:24.0244742Z x = torch.cat(x_out, 1) 2025-08-14T21:51:24.0244760Z 2025-08-14T21:51:24.0244867Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0245061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0245122Z return mod(*inputs) 2025-08-14T21:51:24.0245326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0245390Z x = self.forward_features(x) 2025-08-14T21:51:24.0245609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:51:24.0245678Z x = self.blocks(x) 2025-08-14T21:51:24.0245886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:51:24.0245957Z x = self.drop_path(x) + shortcut 2025-08-14T21:51:24.0245969Z 2025-08-14T21:51:24.0246063Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0246261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0246331Z return mod(*inputs) 2025-08-14T21:51:24.0246526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:51:24.0246591Z x = self.forward_features(x) 2025-08-14T21:51:24.0246811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-08-14T21:51:24.0246874Z x = self.conv_head(x) 2025-08-14T21:51:24.0246878Z 2025-08-14T21:51:24.0246957Z cudagraph partition due to non gpu ops 2025-08-14T21:51:24.0247049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0247229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0247294Z return mod(*inputs) 2025-08-14T21:51:24.0247491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:51:24.0247558Z x = self.forward_head(x) 2025-08-14T21:51:24.0247786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:51:24.0247852Z x = self.global_pool(x) 2025-08-14T21:51:24.0248073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:51:24.0248132Z x = self.pool(x) 2025-08-14T21:51:24.0248136Z 2025-08-14T21:51:24.0248228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:24.0248418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:24.0248477Z return mod(*inputs) 2025-08-14T21:51:24.0248670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:51:24.0248743Z x = self.forward_head(x) 2025-08-14T21:51:24.0248952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-08-14T21:51:24.0249054Z return x if pre_logits else self.classifier(x) 2025-08-14T21:51:24.0249058Z 2025-08-14T21:51:40.5592418Z Compilation time (from dynamo_timed): 44.380087189 2025-08-14T21:51:40.5592781Z pass 2025-08-14T21:51:40.5593134Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:51:40.5594018Z TIMING: _recursive_pre_grad_passes:0.01057 _recursive_joint_graph_passes:0.1957 _recursive_post_grad_passes:0.15581 async_compile.wait:0.80963 code_gen:15.15101 inductor_compile:21.54678 backend_compile:35.51529 gc:0.00065 entire_frame_compile:44.38009 total_wall_time:44.38009 2025-08-14T21:51:40.5595104Z STATS: call_* op count: 551 | FakeTensorMode.__torch_dispatch__:20359 | attempt fast:194 | fast is_contiguous:194 | FakeTensor.__torch_dispatch__:9729 | ProxyTorchDispatchMode.__torch_dispatch__:7408 2025-08-14T21:51:40.5596092Z Dynamo produced 1 graphs covering 551 ops with 0 graph breaks (0 unique) 2025-08-14T21:51:48.0327286Z 2025-08-14T21:51:48.1541637Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:51:48.1542946Z 2025-08-14T21:51:48.2798428Z model.safetensors: 0% 0.00/25.0M [00:00 B,H,W,C 2025-08-14T21:57:25.3028993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:25.3029292Z x = self.conv(x) 2025-08-14T21:57:25.3029388Z 2025-08-14T21:57:25.3029487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3029834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3030150Z return mod(*inputs) 2025-08-14T21:57:25.3030420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3030730Z x = self.forward_features(x) 2025-08-14T21:57:25.3031056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:25.3031445Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:25.3031774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:25.3032070Z x = self.conv(x) 2025-08-14T21:57:25.3032161Z 2025-08-14T21:57:25.3032270Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3032608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3032919Z return mod(*inputs) 2025-08-14T21:57:25.3033197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3033499Z x = self.forward_features(x) 2025-08-14T21:57:25.3033813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:25.3034183Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:25.3034519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:25.3034804Z x = self.conv(x) 2025-08-14T21:57:25.3034903Z 2025-08-14T21:57:25.3035001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3035362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3035686Z return mod(*inputs) 2025-08-14T21:57:25.3035955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3036257Z x = self.forward_features(x) 2025-08-14T21:57:25.3036572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:25.3036942Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:25.3037288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:25.3037582Z x = self.conv(x) 2025-08-14T21:57:25.3037674Z 2025-08-14T21:57:25.3037778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3038118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3038439Z return mod(*inputs) 2025-08-14T21:57:25.3038717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3039010Z x = self.forward_features(x) 2025-08-14T21:57:25.3039326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:25.3039691Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:25.3040028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:25.3040314Z x = self.conv(x) 2025-08-14T21:57:25.3040412Z 2025-08-14T21:57:25.3040511Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3040852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3041154Z return mod(*inputs) 2025-08-14T21:57:25.3041424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3041727Z x = self.forward_features(x) 2025-08-14T21:57:25.3042053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:25.3042433Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:25.3042767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:25.3043059Z x = self.conv(x) 2025-08-14T21:57:25.3043149Z 2025-08-14T21:57:25.3043602Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3043945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3044256Z return mod(*inputs) 2025-08-14T21:57:25.3044536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3044836Z x = self.forward_features(x) 2025-08-14T21:57:25.3045164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:25.3045543Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:25.3045885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T21:57:25.3046191Z x = self.proj(x) # B, C, H, W 2025-08-14T21:57:25.3046319Z 2025-08-14T21:57:25.3046420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3046773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3047077Z return mod(*inputs) 2025-08-14T21:57:25.3047361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3047668Z x = self.forward_features(x) 2025-08-14T21:57:25.3047994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3048374Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3048693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3049014Z x = block(x) 2025-08-14T21:57:25.3049280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3049613Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3049959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:57:25.3050315Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:57:25.3050481Z 2025-08-14T21:57:25.3050561Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3050800Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3051153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3051481Z return mod(*inputs) 2025-08-14T21:57:25.3051774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3052087Z x = self.forward_features(x) 2025-08-14T21:57:25.3052414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3052744Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3053062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3053383Z x = block(x) 2025-08-14T21:57:25.3053649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3053979Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3054405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T21:57:25.3054730Z attn = self.attn(attn).reshape( 2025-08-14T21:57:25.3054867Z 2025-08-14T21:57:25.3054978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3055377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3055712Z return mod(*inputs) 2025-08-14T21:57:25.3055997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3056316Z x = self.forward_features(x) 2025-08-14T21:57:25.3056652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3056996Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3057313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3057639Z x = block(x) 2025-08-14T21:57:25.3057914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3058241Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3058573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:57:25.3058904Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:57:25.3059044Z 2025-08-14T21:57:25.3059153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3059502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3059821Z return mod(*inputs) 2025-08-14T21:57:25.3060122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3060419Z x = self.forward_features(x) 2025-08-14T21:57:25.3060742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3061072Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3062320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3062680Z x = block(x) 2025-08-14T21:57:25.3062947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3063271Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3063594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3063997Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3064200Z 2025-08-14T21:57:25.3064306Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3064653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3064962Z return mod(*inputs) 2025-08-14T21:57:25.3065246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3065569Z x = self.forward_features(x) 2025-08-14T21:57:25.3065887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3066215Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3066522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3066827Z x = block(x) 2025-08-14T21:57:25.3067091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3067411Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3067718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3068093Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3068290Z 2025-08-14T21:57:25.3068389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3068734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3069033Z return mod(*inputs) 2025-08-14T21:57:25.3069308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3069606Z x = self.forward_features(x) 2025-08-14T21:57:25.3069916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3070238Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3070544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3070854Z x = block(x) 2025-08-14T21:57:25.3071110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3071429Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3071746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3072121Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3072314Z 2025-08-14T21:57:25.3072391Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3072592Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3072811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3073140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3073439Z return mod(*inputs) 2025-08-14T21:57:25.3073713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3073999Z x = self.forward_features(x) 2025-08-14T21:57:25.3074310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3074629Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3074979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3075276Z x = block(x) 2025-08-14T21:57:25.3075536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3075849Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3076148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:25.3076464Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:25.3076600Z 2025-08-14T21:57:25.3076698Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3077033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3077330Z return mod(*inputs) 2025-08-14T21:57:25.3077603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3077914Z x = self.forward_features(x) 2025-08-14T21:57:25.3078216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3078536Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3078836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3079138Z x = block(x) 2025-08-14T21:57:25.3079390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3079702Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3080009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:25.3080305Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:25.3080437Z 2025-08-14T21:57:25.3080533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3080868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3081178Z return mod(*inputs) 2025-08-14T21:57:25.3081440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3081734Z x = self.forward_features(x) 2025-08-14T21:57:25.3082046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3082357Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3082660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3082961Z x = block(x) 2025-08-14T21:57:25.3083215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3083519Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3083829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3084121Z x = self.fc1(x) 2025-08-14T21:57:25.3084208Z 2025-08-14T21:57:25.3084303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3084636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3084933Z return mod(*inputs) 2025-08-14T21:57:25.3085199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3085483Z x = self.forward_features(x) 2025-08-14T21:57:25.3085794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3086111Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3086400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3086700Z x = block(x) 2025-08-14T21:57:25.3086975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3087303Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3087608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3087894Z x = self.act(x) 2025-08-14T21:57:25.3087982Z 2025-08-14T21:57:25.3088086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3088416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3088734Z return mod(*inputs) 2025-08-14T21:57:25.3089015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3089315Z x = self.forward_features(x) 2025-08-14T21:57:25.3089632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3089949Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3090279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3090604Z x = block(x) 2025-08-14T21:57:25.3090869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3091191Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3091511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3091798Z x = self.fc2(x) 2025-08-14T21:57:25.3091892Z 2025-08-14T21:57:25.3091990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3092332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3092631Z return mod(*inputs) 2025-08-14T21:57:25.3092914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3093219Z x = self.forward_features(x) 2025-08-14T21:57:25.3093537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3093856Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3094282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3094656Z x = block(x) 2025-08-14T21:57:25.3094956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3095332Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3095719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:57:25.3096066Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:57:25.3096228Z 2025-08-14T21:57:25.3096307Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3096544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3096894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3097198Z return mod(*inputs) 2025-08-14T21:57:25.3097480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3097783Z x = self.forward_features(x) 2025-08-14T21:57:25.3098103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3098423Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3098734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3099049Z x = block(x) 2025-08-14T21:57:25.3099305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3099628Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3099966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T21:57:25.3100286Z attn = self.attn(attn).reshape( 2025-08-14T21:57:25.3100573Z 2025-08-14T21:57:25.3100675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3101020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3101332Z return mod(*inputs) 2025-08-14T21:57:25.3101604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3102067Z x = self.forward_features(x) 2025-08-14T21:57:25.3102391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3102720Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3103019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3103363Z x = block(x) 2025-08-14T21:57:25.3103634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3103951Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3104273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:57:25.3104590Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:57:25.3104729Z 2025-08-14T21:57:25.3104836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3105177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3105488Z return mod(*inputs) 2025-08-14T21:57:25.3105770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3106066Z x = self.forward_features(x) 2025-08-14T21:57:25.3106387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3106719Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3107027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3107331Z x = block(x) 2025-08-14T21:57:25.3107596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3107916Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3108228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3108606Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3108806Z 2025-08-14T21:57:25.3108904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3109251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3109548Z return mod(*inputs) 2025-08-14T21:57:25.3109823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3110120Z x = self.forward_features(x) 2025-08-14T21:57:25.3110429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3110741Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3111040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3111341Z x = block(x) 2025-08-14T21:57:25.3111594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3111913Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3112213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3112576Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3112798Z 2025-08-14T21:57:25.3112913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3113247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3113535Z return mod(*inputs) 2025-08-14T21:57:25.3113803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3114095Z x = self.forward_features(x) 2025-08-14T21:57:25.3114417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3114737Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3115042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3115354Z x = block(x) 2025-08-14T21:57:25.3115605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3115935Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3116245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3116607Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3116795Z 2025-08-14T21:57:25.3116872Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3117076Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3117296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3117621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3117922Z return mod(*inputs) 2025-08-14T21:57:25.3118190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3118479Z x = self.forward_features(x) 2025-08-14T21:57:25.3118783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3119098Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3119391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3119683Z x = block(x) 2025-08-14T21:57:25.3119939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3120247Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3120549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:25.3120834Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:25.3120964Z 2025-08-14T21:57:25.3121059Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3121397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3121696Z return mod(*inputs) 2025-08-14T21:57:25.3121972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3122268Z x = self.forward_features(x) 2025-08-14T21:57:25.3122583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3122902Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3123206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3123519Z x = block(x) 2025-08-14T21:57:25.3123774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3124090Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3124401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:25.3124702Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:25.3124828Z 2025-08-14T21:57:25.3124944Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3125296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3125598Z return mod(*inputs) 2025-08-14T21:57:25.3125864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3126158Z x = self.forward_features(x) 2025-08-14T21:57:25.3126484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3126804Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3127100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3127401Z x = block(x) 2025-08-14T21:57:25.3127660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3127979Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3128300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3128588Z x = self.fc1(x) 2025-08-14T21:57:25.3128673Z 2025-08-14T21:57:25.3128777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3129107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3129410Z return mod(*inputs) 2025-08-14T21:57:25.3129683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3129973Z x = self.forward_features(x) 2025-08-14T21:57:25.3130284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3130601Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3130901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3131199Z x = block(x) 2025-08-14T21:57:25.3131460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3131772Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3132073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3132359Z x = self.act(x) 2025-08-14T21:57:25.3132444Z 2025-08-14T21:57:25.3132547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3132884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3133173Z return mod(*inputs) 2025-08-14T21:57:25.3133449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3133742Z x = self.forward_features(x) 2025-08-14T21:57:25.3134147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3134502Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3134824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3135152Z x = block(x) 2025-08-14T21:57:25.3135433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3135749Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3136066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3136345Z x = self.fc2(x) 2025-08-14T21:57:25.3136441Z 2025-08-14T21:57:25.3136542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3136899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3137219Z return mod(*inputs) 2025-08-14T21:57:25.3137525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3137858Z x = self.forward_features(x) 2025-08-14T21:57:25.3138187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3138516Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3138834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3139154Z x = block(x) 2025-08-14T21:57:25.3139460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3139783Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3140114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:57:25.3140468Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:57:25.3140648Z 2025-08-14T21:57:25.3140731Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3140972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3141328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3141649Z return mod(*inputs) 2025-08-14T21:57:25.3141925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3142238Z x = self.forward_features(x) 2025-08-14T21:57:25.3142570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3142899Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3143215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3143538Z x = block(x) 2025-08-14T21:57:25.3143807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3144132Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3144461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T21:57:25.3144775Z attn = self.attn(attn).reshape( 2025-08-14T21:57:25.3144903Z 2025-08-14T21:57:25.3145004Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3145353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3145655Z return mod(*inputs) 2025-08-14T21:57:25.3145925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3146212Z x = self.forward_features(x) 2025-08-14T21:57:25.3146525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3146842Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3147139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3147448Z x = block(x) 2025-08-14T21:57:25.3147707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3148020Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3148322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:57:25.3148633Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:57:25.3148766Z 2025-08-14T21:57:25.3148869Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3149198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3149498Z return mod(*inputs) 2025-08-14T21:57:25.3149771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3150069Z x = self.forward_features(x) 2025-08-14T21:57:25.3150400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3150736Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3151037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3151331Z x = block(x) 2025-08-14T21:57:25.3151592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3151902Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3152228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3152592Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3152789Z 2025-08-14T21:57:25.3152886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3153244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3153539Z return mod(*inputs) 2025-08-14T21:57:25.3153815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3154115Z x = self.forward_features(x) 2025-08-14T21:57:25.3154425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3154739Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3155040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3155343Z x = block(x) 2025-08-14T21:57:25.3155597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3155909Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3156220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3156587Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3156774Z 2025-08-14T21:57:25.3156870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3157207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3157507Z return mod(*inputs) 2025-08-14T21:57:25.3157780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3158070Z x = self.forward_features(x) 2025-08-14T21:57:25.3158385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3158705Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3158998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3159304Z x = block(x) 2025-08-14T21:57:25.3159566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3159878Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3160178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3160542Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3160727Z 2025-08-14T21:57:25.3160809Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3161006Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3161227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3161560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3161860Z return mod(*inputs) 2025-08-14T21:57:25.3162125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3162422Z x = self.forward_features(x) 2025-08-14T21:57:25.3162767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3163076Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3163375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3163680Z x = block(x) 2025-08-14T21:57:25.3163938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3164264Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3164573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:25.3164872Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:25.3164996Z 2025-08-14T21:57:25.3165094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3165448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3165753Z return mod(*inputs) 2025-08-14T21:57:25.3166033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3166330Z x = self.forward_features(x) 2025-08-14T21:57:25.3166646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3166968Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3167270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3167580Z x = block(x) 2025-08-14T21:57:25.3167846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3168161Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3168475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:25.3168784Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:25.3168908Z 2025-08-14T21:57:25.3169013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3169344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3169651Z return mod(*inputs) 2025-08-14T21:57:25.3169927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3170223Z x = self.forward_features(x) 2025-08-14T21:57:25.3170538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3170867Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3171173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3171479Z x = block(x) 2025-08-14T21:57:25.3171751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3172074Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3172390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3172674Z x = self.fc1(x) 2025-08-14T21:57:25.3172770Z 2025-08-14T21:57:25.3172867Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3173205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3173503Z return mod(*inputs) 2025-08-14T21:57:25.3173776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3174174Z x = self.forward_features(x) 2025-08-14T21:57:25.3174504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3174831Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3175179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3175502Z x = block(x) 2025-08-14T21:57:25.3175757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3176070Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3176379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3176664Z x = self.act(x) 2025-08-14T21:57:25.3176766Z 2025-08-14T21:57:25.3176865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3177206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3177512Z return mod(*inputs) 2025-08-14T21:57:25.3177784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3178107Z x = self.forward_features(x) 2025-08-14T21:57:25.3178435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3178765Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3179068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3179378Z x = block(x) 2025-08-14T21:57:25.3179643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3179959Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3180283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3180574Z x = self.fc2(x) 2025-08-14T21:57:25.3180662Z 2025-08-14T21:57:25.3180766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3181105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3181419Z return mod(*inputs) 2025-08-14T21:57:25.3181701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3182000Z x = self.forward_features(x) 2025-08-14T21:57:25.3182320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3182644Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3182951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3183254Z x = block(x) 2025-08-14T21:57:25.3183522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3183840Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3184150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:57:25.3184497Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:57:25.3184660Z 2025-08-14T21:57:25.3184744Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3184977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3185313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3185622Z return mod(*inputs) 2025-08-14T21:57:25.3185902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3186201Z x = self.forward_features(x) 2025-08-14T21:57:25.3186520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3186851Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3187161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3187464Z x = block(x) 2025-08-14T21:57:25.3187754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3188097Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3188403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T21:57:25.3188714Z attn = self.attn(attn).reshape( 2025-08-14T21:57:25.3188835Z 2025-08-14T21:57:25.3188940Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3189290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3189587Z return mod(*inputs) 2025-08-14T21:57:25.3189858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3190148Z x = self.forward_features(x) 2025-08-14T21:57:25.3190451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3190788Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3191094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3191397Z x = block(x) 2025-08-14T21:57:25.3191648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3191964Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3192277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:57:25.3192584Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:57:25.3192726Z 2025-08-14T21:57:25.3192821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3193157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3193459Z return mod(*inputs) 2025-08-14T21:57:25.3193724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3194030Z x = self.forward_features(x) 2025-08-14T21:57:25.3194344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3194657Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3194962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3195268Z x = block(x) 2025-08-14T21:57:25.3195531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3195835Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3196147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3196522Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3196713Z 2025-08-14T21:57:25.3196809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3197147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3197445Z return mod(*inputs) 2025-08-14T21:57:25.3197715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3198008Z x = self.forward_features(x) 2025-08-14T21:57:25.3198317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3198635Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3198931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3199236Z x = block(x) 2025-08-14T21:57:25.3199493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3199806Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3200150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3200700Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3200892Z 2025-08-14T21:57:25.3201002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3201341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3201637Z return mod(*inputs) 2025-08-14T21:57:25.3201956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3202251Z x = self.forward_features(x) 2025-08-14T21:57:25.3202554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3202872Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3203175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3203493Z x = block(x) 2025-08-14T21:57:25.3203754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3204070Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3204379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:25.3204730Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:25.3204926Z 2025-08-14T21:57:25.3205002Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3205203Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3205428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3205755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3206055Z return mod(*inputs) 2025-08-14T21:57:25.3206329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3206623Z x = self.forward_features(x) 2025-08-14T21:57:25.3206936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3207259Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3207567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3207865Z x = block(x) 2025-08-14T21:57:25.3208124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3208435Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3208736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:25.3209033Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:25.3209161Z 2025-08-14T21:57:25.3209268Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3209605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3209900Z return mod(*inputs) 2025-08-14T21:57:25.3210171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3210467Z x = self.forward_features(x) 2025-08-14T21:57:25.3210771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3211090Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3211393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3211695Z x = block(x) 2025-08-14T21:57:25.3211946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:25.3212256Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3212621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:25.3212913Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:25.3213041Z 2025-08-14T21:57:25.3213137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3213473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3213773Z return mod(*inputs) 2025-08-14T21:57:25.3214101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3214427Z x = self.forward_features(x) 2025-08-14T21:57:25.3214757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3215088Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3215405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3215750Z x = block(x) 2025-08-14T21:57:25.3216013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3216321Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3216636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3216920Z x = self.fc1(x) 2025-08-14T21:57:25.3217006Z 2025-08-14T21:57:25.3217102Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3217440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3217739Z return mod(*inputs) 2025-08-14T21:57:25.3218010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3218298Z x = self.forward_features(x) 2025-08-14T21:57:25.3218611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3218933Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3219229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3219530Z x = block(x) 2025-08-14T21:57:25.3219787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3220100Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3220401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3220684Z x = self.act(x) 2025-08-14T21:57:25.3220769Z 2025-08-14T21:57:25.3220870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3221200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3221500Z return mod(*inputs) 2025-08-14T21:57:25.3221775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3222076Z x = self.forward_features(x) 2025-08-14T21:57:25.3222381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3222700Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3223002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3223299Z x = block(x) 2025-08-14T21:57:25.3223563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3223877Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3224179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3224468Z x = self.fc2(x) 2025-08-14T21:57:25.3224561Z 2025-08-14T21:57:25.3224657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3225036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3225331Z return mod(*inputs) 2025-08-14T21:57:25.3225599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3225895Z x = self.forward_features(x) 2025-08-14T21:57:25.3226197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3226513Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3226831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3227138Z x = block(x) 2025-08-14T21:57:25.3227388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:25.3227701Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3227856Z 2025-08-14T21:57:25.3227963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3228298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3228591Z return mod(*inputs) 2025-08-14T21:57:25.3228862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3229157Z x = self.forward_features(x) 2025-08-14T21:57:25.3229464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3229784Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3230085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3230387Z x = block(x) 2025-08-14T21:57:25.3230637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T21:57:25.3230931Z x = self.proj(x) # B, C, H, W 2025-08-14T21:57:25.3231049Z 2025-08-14T21:57:25.3231154Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3231482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3231782Z return mod(*inputs) 2025-08-14T21:57:25.3232054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3232350Z x = self.forward_features(x) 2025-08-14T21:57:25.3232655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3232974Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3233281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3233578Z x = block(x) 2025-08-14T21:57:25.3233838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3234154Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3234460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3234846Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3235056Z 2025-08-14T21:57:25.3235132Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3235357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3235687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3235993Z return mod(*inputs) 2025-08-14T21:57:25.3236269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3236568Z x = self.forward_features(x) 2025-08-14T21:57:25.3236874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3237198Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3237552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3237852Z x = block(x) 2025-08-14T21:57:25.3238112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3238421Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3238731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3239043Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3239177Z 2025-08-14T21:57:25.3239273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3239604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3239896Z return mod(*inputs) 2025-08-14T21:57:25.3240169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3240490Z x = self.forward_features(x) 2025-08-14T21:57:25.3240810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3241130Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3241437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3241746Z x = block(x) 2025-08-14T21:57:25.3242004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3242324Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3242642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3242937Z x = self.proj(x) 2025-08-14T21:57:25.3243029Z 2025-08-14T21:57:25.3243125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3243470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3243780Z return mod(*inputs) 2025-08-14T21:57:25.3244048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3244348Z x = self.forward_features(x) 2025-08-14T21:57:25.3244665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3244989Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3245293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3245600Z x = block(x) 2025-08-14T21:57:25.3245861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3246185Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3246506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3246813Z x = self.fc1(x) 2025-08-14T21:57:25.3246900Z 2025-08-14T21:57:25.3247001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3247335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3247641Z return mod(*inputs) 2025-08-14T21:57:25.3247924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3248226Z x = self.forward_features(x) 2025-08-14T21:57:25.3248554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3248890Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3249205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3249519Z x = block(x) 2025-08-14T21:57:25.3249808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3250142Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3250450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3250744Z x = self.act(x) 2025-08-14T21:57:25.3250833Z 2025-08-14T21:57:25.3250939Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3251284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3251601Z return mod(*inputs) 2025-08-14T21:57:25.3251880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3252179Z x = self.forward_features(x) 2025-08-14T21:57:25.3252491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3252818Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3253148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3253458Z x = block(x) 2025-08-14T21:57:25.3253715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3254036Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3254442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3254739Z x = self.fc2(x) 2025-08-14T21:57:25.3254843Z 2025-08-14T21:57:25.3254946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3255314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3255629Z return mod(*inputs) 2025-08-14T21:57:25.3255897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3256202Z x = self.forward_features(x) 2025-08-14T21:57:25.3256524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3256844Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3257152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3257465Z x = block(x) 2025-08-14T21:57:25.3257721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3258040Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3258362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3258746Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3258951Z 2025-08-14T21:57:25.3259029Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3259261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3259605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3259913Z return mod(*inputs) 2025-08-14T21:57:25.3260185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3260488Z x = self.forward_features(x) 2025-08-14T21:57:25.3260806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3261129Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3261438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3261747Z x = block(x) 2025-08-14T21:57:25.3262014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3262327Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3262698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3263029Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3263154Z 2025-08-14T21:57:25.3263255Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3263599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3263909Z return mod(*inputs) 2025-08-14T21:57:25.3264204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3264505Z x = self.forward_features(x) 2025-08-14T21:57:25.3264824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3265151Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3265449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3265781Z x = block(x) 2025-08-14T21:57:25.3266053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3266381Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3266702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3267003Z x = self.proj(x) 2025-08-14T21:57:25.3267100Z 2025-08-14T21:57:25.3267208Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3267555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3267883Z return mod(*inputs) 2025-08-14T21:57:25.3268157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3268453Z x = self.forward_features(x) 2025-08-14T21:57:25.3268765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3269093Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3269400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3269700Z x = block(x) 2025-08-14T21:57:25.3269966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3270287Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3270427Z 2025-08-14T21:57:25.3270536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3270872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3271179Z return mod(*inputs) 2025-08-14T21:57:25.3271455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3271747Z x = self.forward_features(x) 2025-08-14T21:57:25.3272069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3272393Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3272696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3272996Z x = block(x) 2025-08-14T21:57:25.3273256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3273572Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3273879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3274170Z x = self.fc1(x) 2025-08-14T21:57:25.3274257Z 2025-08-14T21:57:25.3274362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3274699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3274997Z return mod(*inputs) 2025-08-14T21:57:25.3275295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3275606Z x = self.forward_features(x) 2025-08-14T21:57:25.3275909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3276226Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3276526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3276829Z x = block(x) 2025-08-14T21:57:25.3277095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3277406Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3277712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3277989Z x = self.act(x) 2025-08-14T21:57:25.3278108Z 2025-08-14T21:57:25.3278202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3278542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3278847Z return mod(*inputs) 2025-08-14T21:57:25.3279111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3279409Z x = self.forward_features(x) 2025-08-14T21:57:25.3279723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3280038Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3280340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3280646Z x = block(x) 2025-08-14T21:57:25.3280903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3281204Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3281524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3281811Z x = self.fc2(x) 2025-08-14T21:57:25.3281896Z 2025-08-14T21:57:25.3281992Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3282329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3282627Z return mod(*inputs) 2025-08-14T21:57:25.3282900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3283188Z x = self.forward_features(x) 2025-08-14T21:57:25.3283500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3283822Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3284118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3284424Z x = block(x) 2025-08-14T21:57:25.3284689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3285007Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3285311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3285689Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3285886Z 2025-08-14T21:57:25.3285971Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3286193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3286526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3286827Z return mod(*inputs) 2025-08-14T21:57:25.3287098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3287420Z x = self.forward_features(x) 2025-08-14T21:57:25.3287791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3288118Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3288422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3288734Z x = block(x) 2025-08-14T21:57:25.3288997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3289101Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3289282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3289356Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3289360Z 2025-08-14T21:57:25.3289458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3289655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3289739Z return mod(*inputs) 2025-08-14T21:57:25.3289922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3289991Z x = self.forward_features(x) 2025-08-14T21:57:25.3290194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3290268Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3290467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3290523Z x = block(x) 2025-08-14T21:57:25.3290704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3290788Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3290970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3291032Z x = self.proj(x) 2025-08-14T21:57:25.3291038Z 2025-08-14T21:57:25.3291135Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3291333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3291395Z return mod(*inputs) 2025-08-14T21:57:25.3291573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3291650Z x = self.forward_features(x) 2025-08-14T21:57:25.3291851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3291924Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3292119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3292174Z x = block(x) 2025-08-14T21:57:25.3292357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3292447Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3292621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3292689Z x = self.fc1(x) 2025-08-14T21:57:25.3292692Z 2025-08-14T21:57:25.3292789Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3292983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3293045Z return mod(*inputs) 2025-08-14T21:57:25.3293218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3293292Z x = self.forward_features(x) 2025-08-14T21:57:25.3293493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3293558Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3293780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3293853Z x = block(x) 2025-08-14T21:57:25.3294033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3294187Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3294367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3294436Z x = self.act(x) 2025-08-14T21:57:25.3294440Z 2025-08-14T21:57:25.3294556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3294744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3294819Z return mod(*inputs) 2025-08-14T21:57:25.3294996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3295076Z x = self.forward_features(x) 2025-08-14T21:57:25.3295301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3295372Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3295588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3295645Z x = block(x) 2025-08-14T21:57:25.3295818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3295913Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3296085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3296151Z x = self.fc2(x) 2025-08-14T21:57:25.3296154Z 2025-08-14T21:57:25.3296250Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3296437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3296509Z return mod(*inputs) 2025-08-14T21:57:25.3296684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3296750Z x = self.forward_features(x) 2025-08-14T21:57:25.3296955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3297022Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3297221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3297279Z x = block(x) 2025-08-14T21:57:25.3297451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3297543Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3297713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3297863Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3297877Z 2025-08-14T21:57:25.3297956Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3298051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3298245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3298308Z return mod(*inputs) 2025-08-14T21:57:25.3298480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3298558Z x = self.forward_features(x) 2025-08-14T21:57:25.3298756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3298829Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3299021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3299076Z x = block(x) 2025-08-14T21:57:25.3299271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3299368Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3299539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3299624Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3299628Z 2025-08-14T21:57:25.3299721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3299930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3299994Z return mod(*inputs) 2025-08-14T21:57:25.3300167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3300244Z x = self.forward_features(x) 2025-08-14T21:57:25.3300604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3300721Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3300928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3300985Z x = block(x) 2025-08-14T21:57:25.3301169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3301254Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3301426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3301496Z x = self.proj(x) 2025-08-14T21:57:25.3301500Z 2025-08-14T21:57:25.3301596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3301785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3301855Z return mod(*inputs) 2025-08-14T21:57:25.3302030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3302111Z x = self.forward_features(x) 2025-08-14T21:57:25.3302312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3302378Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3302582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3302639Z x = block(x) 2025-08-14T21:57:25.3302815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3302909Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3302912Z 2025-08-14T21:57:25.3303008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3303202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3303265Z return mod(*inputs) 2025-08-14T21:57:25.3303440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3303517Z x = self.forward_features(x) 2025-08-14T21:57:25.3303716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3303790Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3303986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3304042Z x = block(x) 2025-08-14T21:57:25.3304224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3304309Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3304484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3304553Z x = self.fc1(x) 2025-08-14T21:57:25.3304557Z 2025-08-14T21:57:25.3304669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3304887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3304980Z return mod(*inputs) 2025-08-14T21:57:25.3305158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3305233Z x = self.forward_features(x) 2025-08-14T21:57:25.3305436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3305504Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3305740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3305799Z x = block(x) 2025-08-14T21:57:25.3305979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3306064Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3306251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3306318Z x = self.act(x) 2025-08-14T21:57:25.3306321Z 2025-08-14T21:57:25.3306416Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3306600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3306671Z return mod(*inputs) 2025-08-14T21:57:25.3306839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3306913Z x = self.forward_features(x) 2025-08-14T21:57:25.3307110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3307174Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3307370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3307427Z x = block(x) 2025-08-14T21:57:25.3307600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3307692Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3307860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3307925Z x = self.fc2(x) 2025-08-14T21:57:25.3307928Z 2025-08-14T21:57:25.3308024Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3308211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3308280Z return mod(*inputs) 2025-08-14T21:57:25.3308450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3308516Z x = self.forward_features(x) 2025-08-14T21:57:25.3308718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3308787Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3308985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3309040Z x = block(x) 2025-08-14T21:57:25.3309212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3309304Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3309476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3309625Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3309636Z 2025-08-14T21:57:25.3309712Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3309808Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3309997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3310060Z return mod(*inputs) 2025-08-14T21:57:25.3310259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3310334Z x = self.forward_features(x) 2025-08-14T21:57:25.3310528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3310603Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3310790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3310845Z x = block(x) 2025-08-14T21:57:25.3311035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3311120Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3311286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3311365Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3311383Z 2025-08-14T21:57:25.3311483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3311677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3311739Z return mod(*inputs) 2025-08-14T21:57:25.3311913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3311988Z x = self.forward_features(x) 2025-08-14T21:57:25.3312195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3312261Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3312455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3312509Z x = block(x) 2025-08-14T21:57:25.3312682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3312767Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3312936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3313000Z x = self.proj(x) 2025-08-14T21:57:25.3313003Z 2025-08-14T21:57:25.3313095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3313277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3313345Z return mod(*inputs) 2025-08-14T21:57:25.3313517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3313589Z x = self.forward_features(x) 2025-08-14T21:57:25.3313783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3313850Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3314043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3314104Z x = block(x) 2025-08-14T21:57:25.3314271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3314361Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3314529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3314593Z x = self.fc1(x) 2025-08-14T21:57:25.3314596Z 2025-08-14T21:57:25.3314690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3314872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3314940Z return mod(*inputs) 2025-08-14T21:57:25.3315108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3315173Z x = self.forward_features(x) 2025-08-14T21:57:25.3315373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3315473Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3315668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3315724Z x = block(x) 2025-08-14T21:57:25.3315892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3315983Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3316167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3316226Z x = self.act(x) 2025-08-14T21:57:25.3316237Z 2025-08-14T21:57:25.3316332Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3316514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3316583Z return mod(*inputs) 2025-08-14T21:57:25.3316771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3316839Z x = self.forward_features(x) 2025-08-14T21:57:25.3317044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3317107Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3317295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3317357Z x = block(x) 2025-08-14T21:57:25.3317526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3317615Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3317783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3317841Z x = self.fc2(x) 2025-08-14T21:57:25.3317844Z 2025-08-14T21:57:25.3317947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3318131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3318199Z return mod(*inputs) 2025-08-14T21:57:25.3318367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3318432Z x = self.forward_features(x) 2025-08-14T21:57:25.3318633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3318697Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3318885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3318948Z x = block(x) 2025-08-14T21:57:25.3319115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3319204Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3319373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3319520Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3319523Z 2025-08-14T21:57:25.3319608Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3319701Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3319885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3319954Z return mod(*inputs) 2025-08-14T21:57:25.3320123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3320194Z x = self.forward_features(x) 2025-08-14T21:57:25.3320387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3320451Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3320664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3320737Z x = block(x) 2025-08-14T21:57:25.3320904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3320998Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3321165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3321246Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3321249Z 2025-08-14T21:57:25.3321363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3321550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3321617Z return mod(*inputs) 2025-08-14T21:57:25.3321788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3321872Z x = self.forward_features(x) 2025-08-14T21:57:25.3322083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3322150Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3322350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3322407Z x = block(x) 2025-08-14T21:57:25.3322586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3322678Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3322845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3322905Z x = self.proj(x) 2025-08-14T21:57:25.3322913Z 2025-08-14T21:57:25.3323005Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3323187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3323258Z return mod(*inputs) 2025-08-14T21:57:25.3323424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3323490Z x = self.forward_features(x) 2025-08-14T21:57:25.3323691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3323755Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3323951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3324006Z x = block(x) 2025-08-14T21:57:25.3324172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3324261Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3324265Z 2025-08-14T21:57:25.3324358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3324541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3324610Z return mod(*inputs) 2025-08-14T21:57:25.3324779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3324850Z x = self.forward_features(x) 2025-08-14T21:57:25.3325043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3325108Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3325303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3325359Z x = block(x) 2025-08-14T21:57:25.3325525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3325618Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3325785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3325891Z x = self.fc1(x) 2025-08-14T21:57:25.3325895Z 2025-08-14T21:57:25.3325990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3326172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3326240Z return mod(*inputs) 2025-08-14T21:57:25.3326411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3326475Z x = self.forward_features(x) 2025-08-14T21:57:25.3326692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3326759Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3326959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3327014Z x = block(x) 2025-08-14T21:57:25.3327183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3327293Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3327462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3327520Z x = self.act(x) 2025-08-14T21:57:25.3327523Z 2025-08-14T21:57:25.3327626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3327812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3327882Z return mod(*inputs) 2025-08-14T21:57:25.3328064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3328130Z x = self.forward_features(x) 2025-08-14T21:57:25.3328331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3328396Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3328587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3328649Z x = block(x) 2025-08-14T21:57:25.3328824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3328918Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3329096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3329154Z x = self.fc2(x) 2025-08-14T21:57:25.3329157Z 2025-08-14T21:57:25.3329272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3329453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3329514Z return mod(*inputs) 2025-08-14T21:57:25.3329690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3329757Z x = self.forward_features(x) 2025-08-14T21:57:25.3329970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3330037Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3330228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3330294Z x = block(x) 2025-08-14T21:57:25.3330465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3330549Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3330728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3330876Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3330879Z 2025-08-14T21:57:25.3330963Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3331060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3331282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3331355Z return mod(*inputs) 2025-08-14T21:57:25.3331527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3331600Z x = self.forward_features(x) 2025-08-14T21:57:25.3331797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3331863Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3332080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3332139Z x = block(x) 2025-08-14T21:57:25.3332310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3332403Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3332592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3332673Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3332677Z 2025-08-14T21:57:25.3332771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3332957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3333027Z return mod(*inputs) 2025-08-14T21:57:25.3333198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3333266Z x = self.forward_features(x) 2025-08-14T21:57:25.3333473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3333538Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3333738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3333800Z x = block(x) 2025-08-14T21:57:25.3333984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3334145Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3334333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3334397Z x = self.proj(x) 2025-08-14T21:57:25.3334410Z 2025-08-14T21:57:25.3334512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3334710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3334785Z return mod(*inputs) 2025-08-14T21:57:25.3334964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3335034Z x = self.forward_features(x) 2025-08-14T21:57:25.3335251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3335336Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3335532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3335598Z x = block(x) 2025-08-14T21:57:25.3335769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3335863Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3336036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3336097Z x = self.fc1(x) 2025-08-14T21:57:25.3336101Z 2025-08-14T21:57:25.3336203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3336389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3336459Z return mod(*inputs) 2025-08-14T21:57:25.3336631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3336737Z x = self.forward_features(x) 2025-08-14T21:57:25.3336943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3337011Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3337205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3337269Z x = block(x) 2025-08-14T21:57:25.3337458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3337549Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3337720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3337781Z x = self.act(x) 2025-08-14T21:57:25.3337784Z 2025-08-14T21:57:25.3337886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3338088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3338153Z return mod(*inputs) 2025-08-14T21:57:25.3338334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3338400Z x = self.forward_features(x) 2025-08-14T21:57:25.3338604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3338670Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3338864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3338927Z x = block(x) 2025-08-14T21:57:25.3339099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3339183Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3339365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3339430Z x = self.fc2(x) 2025-08-14T21:57:25.3339433Z 2025-08-14T21:57:25.3339536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3339723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3339785Z return mod(*inputs) 2025-08-14T21:57:25.3339967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3340035Z x = self.forward_features(x) 2025-08-14T21:57:25.3340238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3340311Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3340505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3340568Z x = block(x) 2025-08-14T21:57:25.3340743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3340831Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3341008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3341157Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3341160Z 2025-08-14T21:57:25.3341237Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3341344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3341532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3341602Z return mod(*inputs) 2025-08-14T21:57:25.3341780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3341847Z x = self.forward_features(x) 2025-08-14T21:57:25.3342073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3342157Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3342350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3342413Z x = block(x) 2025-08-14T21:57:25.3342585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3342676Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3342864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3342939Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3342942Z 2025-08-14T21:57:25.3343047Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3343231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3343318Z return mod(*inputs) 2025-08-14T21:57:25.3343498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3343566Z x = self.forward_features(x) 2025-08-14T21:57:25.3343773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3343851Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3344041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3344135Z x = block(x) 2025-08-14T21:57:25.3344306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3344394Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3344564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3344624Z x = self.proj(x) 2025-08-14T21:57:25.3344628Z 2025-08-14T21:57:25.3344731Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3344915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3344976Z return mod(*inputs) 2025-08-14T21:57:25.3345153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3345219Z x = self.forward_features(x) 2025-08-14T21:57:25.3345419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3345486Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3345675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3345735Z x = block(x) 2025-08-14T21:57:25.3345902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3345983Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3345988Z 2025-08-14T21:57:25.3346089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3346271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3346340Z return mod(*inputs) 2025-08-14T21:57:25.3346508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3346574Z x = self.forward_features(x) 2025-08-14T21:57:25.3346778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3346841Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3347028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3347090Z x = block(x) 2025-08-14T21:57:25.3347257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3347375Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3347557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3347614Z x = self.fc1(x) 2025-08-14T21:57:25.3347618Z 2025-08-14T21:57:25.3347719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3347901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3347964Z return mod(*inputs) 2025-08-14T21:57:25.3348158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3348226Z x = self.forward_features(x) 2025-08-14T21:57:25.3348429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3348495Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3348688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3348770Z x = block(x) 2025-08-14T21:57:25.3348941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3349026Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3349203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3349265Z x = self.act(x) 2025-08-14T21:57:25.3349268Z 2025-08-14T21:57:25.3349376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3349562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3349623Z return mod(*inputs) 2025-08-14T21:57:25.3349813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3349881Z x = self.forward_features(x) 2025-08-14T21:57:25.3350085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3350151Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3350342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3350405Z x = block(x) 2025-08-14T21:57:25.3350573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3350656Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3350834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3350891Z x = self.fc2(x) 2025-08-14T21:57:25.3350894Z 2025-08-14T21:57:25.3350995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3351178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3351241Z return mod(*inputs) 2025-08-14T21:57:25.3351420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3351486Z x = self.forward_features(x) 2025-08-14T21:57:25.3351681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3351754Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3351943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3352006Z x = block(x) 2025-08-14T21:57:25.3352174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3352257Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3352431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3352574Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3352594Z 2025-08-14T21:57:25.3352684Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3352786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3352970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3353041Z return mod(*inputs) 2025-08-14T21:57:25.3353215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3353282Z x = self.forward_features(x) 2025-08-14T21:57:25.3353500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3353567Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3353759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3353821Z x = block(x) 2025-08-14T21:57:25.3353992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3354104Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3354270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3354341Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3354343Z 2025-08-14T21:57:25.3354445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3354626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3354688Z return mod(*inputs) 2025-08-14T21:57:25.3354865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3354932Z x = self.forward_features(x) 2025-08-14T21:57:25.3355129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3355196Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3355386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3355448Z x = block(x) 2025-08-14T21:57:25.3355616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3355698Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3355874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3355932Z x = self.proj(x) 2025-08-14T21:57:25.3355937Z 2025-08-14T21:57:25.3356036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3356216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3356277Z return mod(*inputs) 2025-08-14T21:57:25.3356451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3356519Z x = self.forward_features(x) 2025-08-14T21:57:25.3356722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3356787Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3356974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3357034Z x = block(x) 2025-08-14T21:57:25.3357199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3357284Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3357458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3357517Z x = self.fc1(x) 2025-08-14T21:57:25.3357520Z 2025-08-14T21:57:25.3357618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3357800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3357897Z return mod(*inputs) 2025-08-14T21:57:25.3358074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3358140Z x = self.forward_features(x) 2025-08-14T21:57:25.3358333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3358406Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3358607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3358670Z x = block(x) 2025-08-14T21:57:25.3358837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3358920Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3359092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3359192Z x = self.act(x) 2025-08-14T21:57:25.3359198Z 2025-08-14T21:57:25.3359293Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3359482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3359542Z return mod(*inputs) 2025-08-14T21:57:25.3359717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3359782Z x = self.forward_features(x) 2025-08-14T21:57:25.3359975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3360046Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3360235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3360289Z x = block(x) 2025-08-14T21:57:25.3360462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3360547Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3360720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3360778Z x = self.fc2(x) 2025-08-14T21:57:25.3360781Z 2025-08-14T21:57:25.3360874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3361064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3361124Z return mod(*inputs) 2025-08-14T21:57:25.3361295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3361367Z x = self.forward_features(x) 2025-08-14T21:57:25.3361561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3361633Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3361823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3361880Z x = block(x) 2025-08-14T21:57:25.3362057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3362140Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3362307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3362459Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3362463Z 2025-08-14T21:57:25.3362537Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3362639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3362820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3362881Z return mod(*inputs) 2025-08-14T21:57:25.3363057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3363157Z x = self.forward_features(x) 2025-08-14T21:57:25.3363363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3363428Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3363617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3363679Z x = block(x) 2025-08-14T21:57:25.3363865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3363949Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3364125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3364198Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3364201Z 2025-08-14T21:57:25.3364301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3364508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3364570Z return mod(*inputs) 2025-08-14T21:57:25.3364748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3364813Z x = self.forward_features(x) 2025-08-14T21:57:25.3365005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3365078Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3365266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3365328Z x = block(x) 2025-08-14T21:57:25.3365495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3365577Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3365752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3365814Z x = self.proj(x) 2025-08-14T21:57:25.3365817Z 2025-08-14T21:57:25.3365912Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3366101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3366161Z return mod(*inputs) 2025-08-14T21:57:25.3366337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3366403Z x = self.forward_features(x) 2025-08-14T21:57:25.3366594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3366666Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3366856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3366912Z x = block(x) 2025-08-14T21:57:25.3367089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3367171Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3367174Z 2025-08-14T21:57:25.3367275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3367458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3367519Z return mod(*inputs) 2025-08-14T21:57:25.3367698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3367763Z x = self.forward_features(x) 2025-08-14T21:57:25.3367957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3368028Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3368217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3368281Z x = block(x) 2025-08-14T21:57:25.3368482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3368565Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3368740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3368798Z x = self.fc1(x) 2025-08-14T21:57:25.3368801Z 2025-08-14T21:57:25.3368901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3369098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3369159Z return mod(*inputs) 2025-08-14T21:57:25.3369337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3369401Z x = self.forward_features(x) 2025-08-14T21:57:25.3369594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3369686Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3369876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3369935Z x = block(x) 2025-08-14T21:57:25.3370103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3370185Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3370361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3370419Z x = self.act(x) 2025-08-14T21:57:25.3370423Z 2025-08-14T21:57:25.3370515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3370705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3370765Z return mod(*inputs) 2025-08-14T21:57:25.3370943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3371012Z x = self.forward_features(x) 2025-08-14T21:57:25.3371206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3371277Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3371466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3371519Z x = block(x) 2025-08-14T21:57:25.3371697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3371780Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3371953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3372010Z x = self.fc2(x) 2025-08-14T21:57:25.3372013Z 2025-08-14T21:57:25.3372106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3372299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3372360Z return mod(*inputs) 2025-08-14T21:57:25.3372528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3372600Z x = self.forward_features(x) 2025-08-14T21:57:25.3372794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3372866Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3373058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3373113Z x = block(x) 2025-08-14T21:57:25.3373291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3373372Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3373558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3373724Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3373727Z 2025-08-14T21:57:25.3373806Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3373914Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3374179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3374250Z return mod(*inputs) 2025-08-14T21:57:25.3374459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3374530Z x = self.forward_features(x) 2025-08-14T21:57:25.3374734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3374813Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3375017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3375106Z x = block(x) 2025-08-14T21:57:25.3375338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3375423Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3375603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3375676Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3375680Z 2025-08-14T21:57:25.3375787Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3375981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3376044Z return mod(*inputs) 2025-08-14T21:57:25.3376236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3376307Z x = self.forward_features(x) 2025-08-14T21:57:25.3376522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3376601Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3376806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3376872Z x = block(x) 2025-08-14T21:57:25.3377055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3377142Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3377339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3377400Z x = self.proj(x) 2025-08-14T21:57:25.3377404Z 2025-08-14T21:57:25.3377507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3377710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3377777Z return mod(*inputs) 2025-08-14T21:57:25.3377973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3378045Z x = self.forward_features(x) 2025-08-14T21:57:25.3378256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3378330Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3378535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3378595Z x = block(x) 2025-08-14T21:57:25.3378787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3378876Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3379063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3379124Z x = self.fc1(x) 2025-08-14T21:57:25.3379130Z 2025-08-14T21:57:25.3379263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3379463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3379526Z return mod(*inputs) 2025-08-14T21:57:25.3379704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3379780Z x = self.forward_features(x) 2025-08-14T21:57:25.3380013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3380090Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3380290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3380349Z x = block(x) 2025-08-14T21:57:25.3380536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3380641Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3380823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3380891Z x = self.act(x) 2025-08-14T21:57:25.3380894Z 2025-08-14T21:57:25.3380993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3381191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3381254Z return mod(*inputs) 2025-08-14T21:57:25.3381438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3381514Z x = self.forward_features(x) 2025-08-14T21:57:25.3381723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3381789Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3381996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3382058Z x = block(x) 2025-08-14T21:57:25.3382244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3382332Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3382512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3382582Z x = self.fc2(x) 2025-08-14T21:57:25.3382585Z 2025-08-14T21:57:25.3382685Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3382885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3382946Z return mod(*inputs) 2025-08-14T21:57:25.3383127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3383200Z x = self.forward_features(x) 2025-08-14T21:57:25.3383407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3383479Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3383688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3383746Z x = block(x) 2025-08-14T21:57:25.3383932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3384019Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3384198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3384360Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3384363Z 2025-08-14T21:57:25.3384437Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3384532Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3384719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3384813Z return mod(*inputs) 2025-08-14T21:57:25.3384991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3385058Z x = self.forward_features(x) 2025-08-14T21:57:25.3385252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3385325Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3385539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3385594Z x = block(x) 2025-08-14T21:57:25.3385771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3385854Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3386031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3386122Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3386125Z 2025-08-14T21:57:25.3386221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3386409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3386469Z return mod(*inputs) 2025-08-14T21:57:25.3386639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3386713Z x = self.forward_features(x) 2025-08-14T21:57:25.3386910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3386983Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3387171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3387227Z x = block(x) 2025-08-14T21:57:25.3387404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3387489Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3387658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3387724Z x = self.proj(x) 2025-08-14T21:57:25.3387727Z 2025-08-14T21:57:25.3387821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3388011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3388072Z return mod(*inputs) 2025-08-14T21:57:25.3388242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3388315Z x = self.forward_features(x) 2025-08-14T21:57:25.3388510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3388582Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3388775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3388831Z x = block(x) 2025-08-14T21:57:25.3389008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3389089Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3389092Z 2025-08-14T21:57:25.3389185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3389377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3389439Z return mod(*inputs) 2025-08-14T21:57:25.3389613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3389678Z x = self.forward_features(x) 2025-08-14T21:57:25.3389870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3389944Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3390167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3390222Z x = block(x) 2025-08-14T21:57:25.3390401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3390484Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3390662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3390733Z x = self.fc1(x) 2025-08-14T21:57:25.3390737Z 2025-08-14T21:57:25.3390832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3391016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3391076Z return mod(*inputs) 2025-08-14T21:57:25.3391246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3391335Z x = self.forward_features(x) 2025-08-14T21:57:25.3391532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3391601Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3391789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3391846Z x = block(x) 2025-08-14T21:57:25.3392022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3392105Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3392275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3392343Z x = self.act(x) 2025-08-14T21:57:25.3392346Z 2025-08-14T21:57:25.3392440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3392630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3392694Z return mod(*inputs) 2025-08-14T21:57:25.3392863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3392937Z x = self.forward_features(x) 2025-08-14T21:57:25.3393131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3393195Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3393392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3393447Z x = block(x) 2025-08-14T21:57:25.3393620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3393702Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3393870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3393937Z x = self.fc2(x) 2025-08-14T21:57:25.3393943Z 2025-08-14T21:57:25.3394037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3394218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3394285Z return mod(*inputs) 2025-08-14T21:57:25.3394453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3394526Z x = self.forward_features(x) 2025-08-14T21:57:25.3394721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3394786Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3394979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3395035Z x = block(x) 2025-08-14T21:57:25.3395207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3395329Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3395497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3395645Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3395649Z 2025-08-14T21:57:25.3395724Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3395816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3396016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3396078Z return mod(*inputs) 2025-08-14T21:57:25.3396254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3396319Z x = self.forward_features(x) 2025-08-14T21:57:25.3396514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3396900Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3397090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3397147Z x = block(x) 2025-08-14T21:57:25.3397325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3397408Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3397588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3397663Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3397667Z 2025-08-14T21:57:25.3397761Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3397954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3398015Z return mod(*inputs) 2025-08-14T21:57:25.3398189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3398266Z x = self.forward_features(x) 2025-08-14T21:57:25.3398465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3398539Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3398728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3398783Z x = block(x) 2025-08-14T21:57:25.3398963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3399045Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3399214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3399283Z x = self.proj(x) 2025-08-14T21:57:25.3399286Z 2025-08-14T21:57:25.3399382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3399575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3399636Z return mod(*inputs) 2025-08-14T21:57:25.3399805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3399877Z x = self.forward_features(x) 2025-08-14T21:57:25.3400070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3400136Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3400490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3400554Z x = block(x) 2025-08-14T21:57:25.3400738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3400823Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3401039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3401133Z x = self.fc1(x) 2025-08-14T21:57:25.3401136Z 2025-08-14T21:57:25.3401232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3401426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3401487Z return mod(*inputs) 2025-08-14T21:57:25.3401659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3401757Z x = self.forward_features(x) 2025-08-14T21:57:25.3401954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3402019Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3402219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3402297Z x = block(x) 2025-08-14T21:57:25.3402470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3402564Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3402732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3402800Z x = self.act(x) 2025-08-14T21:57:25.3402803Z 2025-08-14T21:57:25.3402897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3403082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3403150Z return mod(*inputs) 2025-08-14T21:57:25.3403320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3403391Z x = self.forward_features(x) 2025-08-14T21:57:25.3403585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3403650Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3403848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3403903Z x = block(x) 2025-08-14T21:57:25.3404072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3404162Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3404329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3404396Z x = self.fc2(x) 2025-08-14T21:57:25.3404399Z 2025-08-14T21:57:25.3404493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3404676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3404743Z return mod(*inputs) 2025-08-14T21:57:25.3404911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3404983Z x = self.forward_features(x) 2025-08-14T21:57:25.3405187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3405252Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3405446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3405502Z x = block(x) 2025-08-14T21:57:25.3405670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3405759Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3405925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:25.3406068Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3406077Z 2025-08-14T21:57:25.3406154Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3406287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3406477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3406537Z return mod(*inputs) 2025-08-14T21:57:25.3406706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3406778Z x = self.forward_features(x) 2025-08-14T21:57:25.3406989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3407055Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3407249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3407303Z x = block(x) 2025-08-14T21:57:25.3407481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3407582Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3407752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:25.3407832Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:25.3407836Z 2025-08-14T21:57:25.3407928Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3408116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3408177Z return mod(*inputs) 2025-08-14T21:57:25.3408347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3408420Z x = self.forward_features(x) 2025-08-14T21:57:25.3408612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3408677Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3408872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3408931Z x = block(x) 2025-08-14T21:57:25.3409105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3409186Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3409353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:57:25.3409418Z x = self.proj(x) 2025-08-14T21:57:25.3409421Z 2025-08-14T21:57:25.3409517Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3409700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3409769Z return mod(*inputs) 2025-08-14T21:57:25.3409939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3410012Z x = self.forward_features(x) 2025-08-14T21:57:25.3410213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3410279Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3410474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3410529Z x = block(x) 2025-08-14T21:57:25.3410697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:25.3410787Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3410790Z 2025-08-14T21:57:25.3410885Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3411080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3411140Z return mod(*inputs) 2025-08-14T21:57:25.3411311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3411387Z x = self.forward_features(x) 2025-08-14T21:57:25.3411618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3411683Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3411882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3411938Z x = block(x) 2025-08-14T21:57:25.3412113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3412211Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3412379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3412444Z x = self.fc1(x) 2025-08-14T21:57:25.3412447Z 2025-08-14T21:57:25.3412542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3412724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3412810Z return mod(*inputs) 2025-08-14T21:57:25.3412977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3413051Z x = self.forward_features(x) 2025-08-14T21:57:25.3413242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3413307Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3413501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3413559Z x = block(x) 2025-08-14T21:57:25.3413725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3413817Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3413991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3414115Z x = self.act(x) 2025-08-14T21:57:25.3414121Z 2025-08-14T21:57:25.3414227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3414415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3414487Z return mod(*inputs) 2025-08-14T21:57:25.3414661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3414728Z x = self.forward_features(x) 2025-08-14T21:57:25.3414936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:25.3415012Z x = self.forward_tokens(x) 2025-08-14T21:57:25.3415208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:25.3415264Z x = block(x) 2025-08-14T21:57:25.3415431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:25.3415524Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:25.3415699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3415760Z x = self.fc2(x) 2025-08-14T21:57:25.3415771Z 2025-08-14T21:57:25.3415849Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3415945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3416138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3416203Z return mod(*inputs) 2025-08-14T21:57:25.3416379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3416456Z x = self.forward_features(x) 2025-08-14T21:57:25.3416654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3416729Z x = self.forward_cls(x) 2025-08-14T21:57:25.3416942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-08-14T21:57:25.3417035Z x = torch.cat([cls_tokens, x], dim=1) 2025-08-14T21:57:25.3417038Z 2025-08-14T21:57:25.3417142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3417328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3417392Z return mod(*inputs) 2025-08-14T21:57:25.3417593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3417663Z x = self.forward_features(x) 2025-08-14T21:57:25.3417865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3417931Z x = self.forward_cls(x) 2025-08-14T21:57:25.3418118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3418201Z x = block(x) 2025-08-14T21:57:25.3418375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:25.3418497Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3418677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T21:57:25.3418821Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3418825Z 2025-08-14T21:57:25.3418931Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3419118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3419179Z return mod(*inputs) 2025-08-14T21:57:25.3419361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3419428Z x = self.forward_features(x) 2025-08-14T21:57:25.3419628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3419700Z x = self.forward_cls(x) 2025-08-14T21:57:25.3419886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3419949Z x = block(x) 2025-08-14T21:57:25.3420123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:25.3420242Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3420423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:57:25.3420557Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:57:25.3420561Z 2025-08-14T21:57:25.3420665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3420855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3420921Z return mod(*inputs) 2025-08-14T21:57:25.3421101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3421168Z x = self.forward_features(x) 2025-08-14T21:57:25.3421366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3421439Z x = self.forward_cls(x) 2025-08-14T21:57:25.3421624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3421689Z x = block(x) 2025-08-14T21:57:25.3421861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:25.3421976Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3422155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:57:25.3422316Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:57:25.3422335Z 2025-08-14T21:57:25.3422433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3422628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3422691Z return mod(*inputs) 2025-08-14T21:57:25.3422873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3422942Z x = self.forward_features(x) 2025-08-14T21:57:25.3423156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3423233Z x = self.forward_cls(x) 2025-08-14T21:57:25.3423420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3423476Z x = block(x) 2025-08-14T21:57:25.3423674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:25.3423789Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3423975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-08-14T21:57:25.3424049Z cls_embed = self.proj(cls_embed) 2025-08-14T21:57:25.3424053Z 2025-08-14T21:57:25.3424149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3424344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3424407Z return mod(*inputs) 2025-08-14T21:57:25.3424588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3424656Z x = self.forward_features(x) 2025-08-14T21:57:25.3424856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3424929Z x = self.forward_cls(x) 2025-08-14T21:57:25.3425118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3425179Z x = block(x) 2025-08-14T21:57:25.3425364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:25.3425493Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:25.3425672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3425733Z x = self.fc1(x) 2025-08-14T21:57:25.3425736Z 2025-08-14T21:57:25.3425832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3426025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3426088Z return mod(*inputs) 2025-08-14T21:57:25.3426260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3426339Z x = self.forward_features(x) 2025-08-14T21:57:25.3426538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3426609Z x = self.forward_cls(x) 2025-08-14T21:57:25.3426795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3426851Z x = block(x) 2025-08-14T21:57:25.3427031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:25.3427161Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:25.3427334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3427401Z x = self.act(x) 2025-08-14T21:57:25.3427404Z 2025-08-14T21:57:25.3427499Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3427719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3427799Z return mod(*inputs) 2025-08-14T21:57:25.3427974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3428050Z x = self.forward_features(x) 2025-08-14T21:57:25.3428247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3428311Z x = self.forward_cls(x) 2025-08-14T21:57:25.3428520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3428578Z x = block(x) 2025-08-14T21:57:25.3428762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:25.3428898Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:25.3429065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3429149Z x = self.fc2(x) 2025-08-14T21:57:25.3429152Z 2025-08-14T21:57:25.3429245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3429436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3429496Z return mod(*inputs) 2025-08-14T21:57:25.3429665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3429739Z x = self.forward_features(x) 2025-08-14T21:57:25.3429935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3430001Z x = self.forward_cls(x) 2025-08-14T21:57:25.3430187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3430242Z x = block(x) 2025-08-14T21:57:25.3430419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:25.3430541Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:25.3430544Z 2025-08-14T21:57:25.3430621Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3430722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3430904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3430963Z return mod(*inputs) 2025-08-14T21:57:25.3431141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3431206Z x = self.forward_features(x) 2025-08-14T21:57:25.3431407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3431469Z x = self.forward_cls(x) 2025-08-14T21:57:25.3431650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3431714Z x = block(x) 2025-08-14T21:57:25.3431882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:57:25.3431968Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:57:25.3431972Z 2025-08-14T21:57:25.3432072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3432253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3432319Z return mod(*inputs) 2025-08-14T21:57:25.3432491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3432556Z x = self.forward_features(x) 2025-08-14T21:57:25.3432760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3432823Z x = self.forward_cls(x) 2025-08-14T21:57:25.3433027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3433106Z x = block(x) 2025-08-14T21:57:25.3433276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:25.3433395Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3433563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T21:57:25.3433718Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:25.3433723Z 2025-08-14T21:57:25.3433826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3434008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3434076Z return mod(*inputs) 2025-08-14T21:57:25.3434247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3434333Z x = self.forward_features(x) 2025-08-14T21:57:25.3434538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3434603Z x = self.forward_cls(x) 2025-08-14T21:57:25.3434785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3434849Z x = block(x) 2025-08-14T21:57:25.3435020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:25.3435142Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3435311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:57:25.3435435Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:57:25.3435439Z 2025-08-14T21:57:25.3435543Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3435729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3435789Z return mod(*inputs) 2025-08-14T21:57:25.3435965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3436030Z x = self.forward_features(x) 2025-08-14T21:57:25.3436233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3436296Z x = self.forward_cls(x) 2025-08-14T21:57:25.3436480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3436544Z x = block(x) 2025-08-14T21:57:25.3436719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:25.3436831Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3437009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:57:25.3437148Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:57:25.3437151Z 2025-08-14T21:57:25.3437252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3437435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3437496Z return mod(*inputs) 2025-08-14T21:57:25.3437673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3437738Z x = self.forward_features(x) 2025-08-14T21:57:25.3437941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3438004Z x = self.forward_cls(x) 2025-08-14T21:57:25.3438186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3438289Z x = block(x) 2025-08-14T21:57:25.3438458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:25.3438568Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:25.3438745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-08-14T21:57:25.3438816Z cls_embed = self.proj(cls_embed) 2025-08-14T21:57:25.3438822Z 2025-08-14T21:57:25.3438937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3439126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3439187Z return mod(*inputs) 2025-08-14T21:57:25.3439364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3439429Z x = self.forward_features(x) 2025-08-14T21:57:25.3439641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3439715Z x = self.forward_cls(x) 2025-08-14T21:57:25.3439894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3439957Z x = block(x) 2025-08-14T21:57:25.3440123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:25.3440244Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:25.3440419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:57:25.3440477Z x = self.fc1(x) 2025-08-14T21:57:25.3440480Z 2025-08-14T21:57:25.3440574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3440763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3440825Z return mod(*inputs) 2025-08-14T21:57:25.3441004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3441070Z x = self.forward_features(x) 2025-08-14T21:57:25.3441262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3441331Z x = self.forward_cls(x) 2025-08-14T21:57:25.3441511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3441566Z x = block(x) 2025-08-14T21:57:25.3441742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:25.3441863Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:25.3442036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:25.3442093Z x = self.act(x) 2025-08-14T21:57:25.3442097Z 2025-08-14T21:57:25.3442193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3442379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3442440Z return mod(*inputs) 2025-08-14T21:57:25.3442614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3442679Z x = self.forward_features(x) 2025-08-14T21:57:25.3442872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3442941Z x = self.forward_cls(x) 2025-08-14T21:57:25.3443120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3443174Z x = block(x) 2025-08-14T21:57:25.3443348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:25.3443470Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:25.3443679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:57:25.3443737Z x = self.fc2(x) 2025-08-14T21:57:25.3443741Z 2025-08-14T21:57:25.3443834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3444020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3444081Z return mod(*inputs) 2025-08-14T21:57:25.3444283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3444357Z x = self.forward_features(x) 2025-08-14T21:57:25.3444554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3444622Z x = self.forward_cls(x) 2025-08-14T21:57:25.3444805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3444886Z x = block(x) 2025-08-14T21:57:25.3445059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:25.3445181Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:25.3445184Z 2025-08-14T21:57:25.3445260Z cudagraph partition due to non gpu ops 2025-08-14T21:57:25.3445359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3445543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3445612Z return mod(*inputs) 2025-08-14T21:57:25.3445780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:25.3445845Z x = self.forward_features(x) 2025-08-14T21:57:25.3446045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:25.3446110Z x = self.forward_cls(x) 2025-08-14T21:57:25.3446293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:25.3446358Z x = block(x) 2025-08-14T21:57:25.3446525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:57:25.3446619Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:57:25.3446622Z 2025-08-14T21:57:25.3446717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3446900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3446969Z return mod(*inputs) 2025-08-14T21:57:25.3447138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:57:25.3447208Z x = self.forward_head(x) 2025-08-14T21:57:25.3447403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:57:25.3447477Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:57:25.3447481Z 2025-08-14T21:57:25.3447583Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3447764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3447824Z return mod(*inputs) 2025-08-14T21:57:25.3448000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:57:25.3448066Z x = self.forward_head(x) 2025-08-14T21:57:25.3448256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:57:25.3448331Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:57:25.3448335Z 2025-08-14T21:57:25.3448427Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3448616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3448676Z return mod(*inputs) 2025-08-14T21:57:25.3448883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:57:25.3448956Z x = self.forward_head(x) 2025-08-14T21:57:25.3449141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-14T21:57:25.3449217Z out = out + 0.5 * aux.max(1)[0] 2025-08-14T21:57:25.3449221Z 2025-08-14T21:57:25.3449315Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3449509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3449577Z return mod(*inputs) 2025-08-14T21:57:25.3449751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:57:25.3449814Z x = self.forward_head(x) 2025-08-14T21:57:25.3450004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 813, in forward_head 2025-08-14T21:57:25.3450093Z out = self.head(out) 2025-08-14T21:57:25.3450096Z 2025-08-14T21:57:25.3450197Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:25.3450376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:25.3450435Z return mod(*inputs) 2025-08-14T21:57:25.3450612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:57:25.3450676Z x = self.forward_head(x) 2025-08-14T21:57:25.3450860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-14T21:57:25.3450936Z out = out + 0.5 * aux.max(1)[0] 2025-08-14T21:57:25.3450939Z 2025-08-14T21:57:37.0167701Z Compilation time (from dynamo_timed): 41.151874631 2025-08-14T21:57:37.0180217Z pass 2025-08-14T21:57:37.0185048Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:57:37.0187773Z TIMING: _recursive_pre_grad_passes:0.00866 _recursive_joint_graph_passes:0.64916 _recursive_post_grad_passes:0.27657 async_compile.wait:0.60027 code_gen:11.33122 inductor_compile:17.32526 backend_compile:32.65974 gc:0.00071 entire_frame_compile:41.15187 total_wall_time:41.15187 2025-08-14T21:57:37.0189004Z STATS: call_* op count: 505 | FakeTensorMode.__torch_dispatch__:19627 | attempt fast:160 | fast is_contiguous:144 | FakeTensor.__torch_dispatch__:8116 | slow no contiguity match:16 | ProxyTorchDispatchMode.__torch_dispatch__:6924 2025-08-14T21:57:37.0191152Z Dynamo produced 1 graphs covering 505 ops with 0 graph breaks (0 unique) 2025-08-14T21:57:45.1532696Z 2025-08-14T21:57:46.5900216Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:57:46.5903372Z 2025-08-14T21:57:46.6995779Z model.safetensors: 0% 0.00/756M [00:00> $GITHUB_ENV 2025-08-14T21:59:47.5230483Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T21:59:47.5238609Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:47.5238840Z env: 2025-08-14T21:59:47.5238999Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:47.5239276Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:47.5239567Z ##[endgroup] 2025-08-14T21:59:47.5271043Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T21:59:47.6981636Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:59:48.4349084Z Collecting boto3==1.35.33 2025-08-14T21:59:48.4513372Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T21:59:48.6625489Z Collecting psutil==7.0.0 2025-08-14T21:59:48.6661281Z 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) 2025-08-14T21:59:48.6900884Z Collecting pynvml==12.0.0 2025-08-14T21:59:48.6933964Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T21:59:49.4418524Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T21:59:49.4454813Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T21:59:49.5269511Z 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) 2025-08-14T21:59:49.5552837Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T21:59:49.5586177Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T21:59:49.5923189Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T21:59:49.5953467Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T21:59:49.6032288Z 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) 2025-08-14T21:59:49.6033832Z 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) 2025-08-14T21:59:49.6919877Z 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) 2025-08-14T21:59:49.7895987Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T21:59:50.1082381Z Attempting uninstall: nvidia-ml-py 2025-08-14T21:59:50.1086198Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T21:59:50.1093008Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T21:59:50.1211976Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T21:59:50.1671660Z Attempting uninstall: psutil 2025-08-14T21:59:50.1673448Z Found existing installation: psutil 5.9.8 2025-08-14T21:59:50.1715687Z Uninstalling psutil-5.9.8: 2025-08-14T21:59:50.1719590Z Successfully uninstalled psutil-5.9.8 2025-08-14T21:59:50.2956099Z 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 2025-08-14T21:59:50.3999423Z + DEVICE_NAME= 2025-08-14T21:59:50.4001843Z + DEVICE_TYPE= 2025-08-14T21:59:50.4006308Z + command -v nvidia-smi 2025-08-14T21:59:50.4008262Z + command -v rocminfo 2025-08-14T21:59:50.4008631Z + echo DEVICE_NAME= 2025-08-14T21:59:50.4008817Z + echo DEVICE_TYPE= 2025-08-14T21:59:50.4033130Z ##[group]Run set -eux 2025-08-14T21:59:50.4033316Z set -eux 2025-08-14T21:59:50.4033458Z  2025-08-14T21:59:50.4033625Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T21:59:50.4033843Z  echo "Missing github-token input" 2025-08-14T21:59:50.4034043Z  exit 1 2025-08-14T21:59:50.4034200Z fi 2025-08-14T21:59:50.4040491Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:50.4040724Z env: 2025-08-14T21:59:50.4040883Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:50.4041156Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:50.4041450Z DEVICE_NAME: 2025-08-14T21:59:50.4041601Z DEVICE_TYPE: 2025-08-14T21:59:50.4041965Z GITHUB_TOKEN: *** 2025-08-14T21:59:50.4042111Z ##[endgroup] 2025-08-14T21:59:50.4065023Z + [[ -z *** ]] 2025-08-14T21:59:50.4123082Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T21:59:50.4123339Z with: 2025-08-14T21:59:50.4123615Z github-token: *** 2025-08-14T21:59:50.4123766Z env: 2025-08-14T21:59:50.4123910Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:50.4124185Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:50.4124478Z DEVICE_NAME: 2025-08-14T21:59:50.4124696Z DEVICE_TYPE: 2025-08-14T21:59:50.4124845Z ##[endgroup] 2025-08-14T21:59:50.4145061Z ##[group]Run set -eux 2025-08-14T21:59:50.4145248Z set -eux 2025-08-14T21:59:50.4145470Z  2025-08-14T21:59:50.4145755Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:59:50.4150022Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:50.4150254Z env: 2025-08-14T21:59:50.4150409Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:50.4150682Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:50.4150970Z DEVICE_NAME: 2025-08-14T21:59:50.4151120Z DEVICE_TYPE: 2025-08-14T21:59:50.4151405Z GITHUB_TOKEN: *** 2025-08-14T21:59:50.4151554Z ##[endgroup] 2025-08-14T21:59:50.4173443Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976255153 i-0e2ec405c00abd8cb 2025-08-14T21:59:51.3740853Z setting job-id=48128039109 2025-08-14T21:59:51.3741347Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:59:51.3854117Z ##[group]Run set -eux 2025-08-14T21:59:51.3854423Z set -eux 2025-08-14T21:59:51.3854576Z  2025-08-14T21:59:51.3854820Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T21:59:51.3855116Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T21:59:51.3855334Z  --repo "${REPO}" \ 2025-08-14T21:59:51.3855532Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T21:59:51.3855731Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T21:59:51.3855942Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T21:59:51.3856156Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T21:59:51.3856352Z  --job-id "${JOB_ID}" \ 2025-08-14T21:59:51.3856541Z  --job-name "${JOB_NAME}" 2025-08-14T21:59:51.3860969Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:51.3861194Z env: 2025-08-14T21:59:51.3861339Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:51.3861642Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:51.3861931Z DEVICE_NAME: 2025-08-14T21:59:51.3862073Z DEVICE_TYPE: 2025-08-14T21:59:51.3862222Z SCHEMA_VERSION: v3 2025-08-14T21:59:51.3862384Z REPO: pytorch/pytorch 2025-08-14T21:59:51.3862556Z HEAD_BRANCH: refs/heads/main 2025-08-14T21:59:51.3862747Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:59:51.3862955Z WORKFLOW_RUN_ID: 16976255153 2025-08-14T21:59:51.3863123Z RUN_ATTEMPT: 1 2025-08-14T21:59:51.3863266Z JOB_ID: 48128039109 2025-08-14T21:59:51.3863579Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:59:51.3863906Z ##[endgroup] 2025-08-14T21:59:51.3888100Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976255153 --run-attempt 1 --job-id 48128039109 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)' 2025-08-14T21:59:51.4149766Z ##[group]Run set -eux 2025-08-14T21:59:51.4149957Z set -eux 2025-08-14T21:59:51.4150103Z  2025-08-14T21:59:51.4150341Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T21:59:51.4154587Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:51.4154974Z env: 2025-08-14T21:59:51.4155126Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:51.4155412Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:51.4155781Z DEVICE_NAME: 2025-08-14T21:59:51.4155945Z DEVICE_TYPE: 2025-08-14T21:59:51.4156090Z ##[endgroup] 2025-08-14T21:59:51.4179883Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T21:59:51.4475269Z INFO:root:Fail to import torch to get the device name 2025-08-14T21:59:51.4566715Z ##[group]Run set -eux 2025-08-14T21:59:51.4566904Z set -eux 2025-08-14T21:59:51.4567051Z  2025-08-14T21:59:51.4567212Z # TODO (huydhn): Implement this part 2025-08-14T21:59:51.4567448Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:59:51.4571418Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:51.4571633Z env: 2025-08-14T21:59:51.4571784Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:51.4572062Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:51.4572365Z DEVICE_NAME: 2025-08-14T21:59:51.4572628Z DEVICE_TYPE: 2025-08-14T21:59:51.4572777Z ##[endgroup] 2025-08-14T21:59:51.4593189Z + echo 'dependencies={}' 2025-08-14T21:59:51.4616861Z ##[group]Run set -eux 2025-08-14T21:59:51.4617054Z set -eux 2025-08-14T21:59:51.4617227Z  2025-08-14T21:59:51.4617396Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T21:59:51.4617664Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T21:59:51.4617947Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T21:59:51.4618168Z  exit 0 2025-08-14T21:59:51.4618312Z fi 2025-08-14T21:59:51.4618449Z  2025-08-14T21:59:51.4618597Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T21:59:51.4618880Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:59:51.4619204Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:59:51.4619471Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:59:51.4619677Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:59:51.4619893Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T21:59:51.4620093Z  --dry-run 2025-08-14T21:59:51.4620245Z else 2025-08-14T21:59:51.4620474Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:59:51.4620783Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:59:51.4621027Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:59:51.4621227Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:59:51.4621435Z  --dependencies "${DEPENDENCIES}" 2025-08-14T21:59:51.4621625Z fi 2025-08-14T21:59:51.4625007Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:51.4625228Z env: 2025-08-14T21:59:51.4625377Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:51.4625652Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:51.4625934Z DEVICE_NAME: 2025-08-14T21:59:51.4626082Z DEVICE_TYPE: 2025-08-14T21:59:51.4626249Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T21:59:51.4626434Z DRY_RUN: false 2025-08-14T21:59:51.4627184Z BENCHMARK_METADATA: {"timestamp": 1755208791, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039109} 2025-08-14T21:59:51.4628121Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-70-109.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T21:59:51.4628468Z DEPENDENCIES: {} 2025-08-14T21:59:51.4628615Z ##[endgroup] 2025-08-14T21:59:51.4648665Z + [[ ! -d test/test-reports ]] 2025-08-14T21:59:51.4649069Z + [[ false == \t\r\u\e ]] 2025-08-14T21:59:51.4650736Z + 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": 1755208791, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039109}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-70-109.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T21:59:51.5704167Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039109/inference_timm_models.json 2025-08-14T21:59:51.5947055Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T21:59:51.8130236Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T21:59:51.8130512Z cat test/**/*_toprint.log || true 2025-08-14T21:59:51.8135054Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:51.8135283Z env: 2025-08-14T21:59:51.8135432Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:51.8135706Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:51.8135998Z DEVICE_NAME: 2025-08-14T21:59:51.8136148Z DEVICE_TYPE: 2025-08-14T21:59:51.8136294Z ##[endgroup] 2025-08-14T21:59:51.8207743Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T21:59:51.8240806Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:59:51.8241051Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:59:51.8244800Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:51.8245041Z env: 2025-08-14T21:59:51.8245190Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:51.8245460Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:51.8245757Z DEVICE_NAME: 2025-08-14T21:59:51.8245906Z DEVICE_TYPE: 2025-08-14T21:59:51.8246061Z MONITOR_SCRIPT_PID: 47902 2025-08-14T21:59:51.8246224Z ##[endgroup] 2025-08-14T21:59:51.8334422Z Prepare all required actions 2025-08-14T21:59:51.8334864Z Getting action download info 2025-08-14T21:59:51.9858603Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:59:52.2276527Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:59:52.7151537Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T21:59:52.7151770Z with: 2025-08-14T21:59:52.7152010Z file-suffix: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109 2025-08-14T21:59:52.7152290Z s3-bucket: gha-artifacts 2025-08-14T21:59:52.7152465Z env: 2025-08-14T21:59:52.7152611Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:52.7152880Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:52.7153172Z DEVICE_NAME: 2025-08-14T21:59:52.7153319Z DEVICE_TYPE: 2025-08-14T21:59:52.7153454Z ##[endgroup] 2025-08-14T21:59:52.7180237Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T21:59:52.7180538Z # Remove any previous test jsons if they exist 2025-08-14T21:59:52.7180761Z rm -f test-jsons-*.zip 2025-08-14T21:59:52.7181020Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T21:59:52.7185293Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:52.7185514Z env: 2025-08-14T21:59:52.7185667Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:52.7185945Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:52.7186296Z DEVICE_NAME: 2025-08-14T21:59:52.7186444Z DEVICE_TYPE: 2025-08-14T21:59:52.7186680Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109 2025-08-14T21:59:52.7186988Z ##[endgroup] 2025-08-14T21:59:52.7366147Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T21:59:52.7395466Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T21:59:52.7395763Z # Remove any previous test reports if they exist 2025-08-14T21:59:52.7396001Z rm -f test-reports-*.zip 2025-08-14T21:59:52.7396286Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T21:59:52.7400701Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:52.7400933Z env: 2025-08-14T21:59:52.7401093Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:52.7401375Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:52.7401679Z DEVICE_NAME: 2025-08-14T21:59:52.7401836Z DEVICE_TYPE: 2025-08-14T21:59:52.7402074Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109 2025-08-14T21:59:52.7402352Z ##[endgroup] 2025-08-14T21:59:52.7468935Z adding: test/test-reports/inference_timm_models.csv (deflated 62%) 2025-08-14T21:59:52.7498558Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T21:59:52.7498861Z # Remove any previous usage logs if they exist 2025-08-14T21:59:52.7499093Z rm -f logs-*.zip 2025-08-14T21:59:52.7499321Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T21:59:52.7499632Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T21:59:52.7503827Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:52.7504061Z env: 2025-08-14T21:59:52.7504217Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:52.7504512Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:52.7504826Z DEVICE_NAME: 2025-08-14T21:59:52.7504980Z DEVICE_TYPE: 2025-08-14T21:59:52.7505218Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109 2025-08-14T21:59:52.7505480Z ##[endgroup] 2025-08-14T21:59:52.7573700Z adding: usage_log.txt (deflated 96%) 2025-08-14T21:59:52.7585633Z 2025-08-14T21:59:52.7586330Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip) 2025-08-14T21:59:52.7615604Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T21:59:52.7615944Z # Remove any previous debugging artifacts if they exist 2025-08-14T21:59:52.7616203Z rm -f debug-*.zip 2025-08-14T21:59:52.7616393Z if [ -d 'test/debug' ]; then 2025-08-14T21:59:52.7616631Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T21:59:52.7616853Z fi 2025-08-14T21:59:52.7620732Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:52.7620956Z env: 2025-08-14T21:59:52.7621106Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:52.7621384Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:52.7621673Z DEVICE_NAME: 2025-08-14T21:59:52.7621820Z DEVICE_TYPE: 2025-08-14T21:59:52.7622064Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109 2025-08-14T21:59:52.7622320Z ##[endgroup] 2025-08-14T21:59:52.7695240Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:59:52.7695452Z with: 2025-08-14T21:59:52.7695609Z s3-bucket: gha-artifacts 2025-08-14T21:59:52.7695828Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:59:52.7696035Z retention-days: 14 2025-08-14T21:59:52.7696196Z if-no-files-found: warn 2025-08-14T21:59:52.7696366Z path: test-jsons-*.zip 2025-08-14T21:59:52.7696521Z name: artifact 2025-08-14T21:59:52.7696669Z region: us-east-1 2025-08-14T21:59:52.7696819Z env: 2025-08-14T21:59:52.7697013Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:52.7697295Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:52.7697585Z DEVICE_NAME: 2025-08-14T21:59:52.7697786Z DEVICE_TYPE: 2025-08-14T21:59:52.7697926Z ##[endgroup] 2025-08-14T21:59:53.0580614Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:59:53.0584194Z With the provided path, there will be 1 file uploaded 2025-08-14T21:59:53.0588374Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:59:53.0609580Z Starting upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip 2025-08-14T21:59:53.1946569Z Finished upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip 2025-08-14T21:59:53.2105333Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:59:53.2105545Z with: 2025-08-14T21:59:53.2105701Z s3-bucket: gha-artifacts 2025-08-14T21:59:53.2105905Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:59:53.2106123Z retention-days: 14 2025-08-14T21:59:53.2106284Z if-no-files-found: error 2025-08-14T21:59:53.2106460Z path: test-reports-*.zip 2025-08-14T21:59:53.2106622Z name: artifact 2025-08-14T21:59:53.2106768Z region: us-east-1 2025-08-14T21:59:53.2106918Z env: 2025-08-14T21:59:53.2107049Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:53.2107335Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:53.2107620Z DEVICE_NAME: 2025-08-14T21:59:53.2107764Z DEVICE_TYPE: 2025-08-14T21:59:53.2107901Z ##[endgroup] 2025-08-14T21:59:53.4486753Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:59:53.4490793Z With the provided path, there will be 1 file uploaded 2025-08-14T21:59:53.4491109Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:59:53.4516701Z Starting upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip 2025-08-14T21:59:53.5507526Z Finished upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip 2025-08-14T21:59:53.5669863Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:59:53.5670093Z with: 2025-08-14T21:59:53.5670251Z s3-bucket: gha-artifacts 2025-08-14T21:59:53.5670461Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:59:53.5670667Z retention-days: 14 2025-08-14T21:59:53.5670968Z if-no-files-found: ignore 2025-08-14T21:59:53.5671148Z path: logs-*.zip 2025-08-14T21:59:53.5671293Z name: artifact 2025-08-14T21:59:53.5671447Z region: us-east-1 2025-08-14T21:59:53.5671603Z env: 2025-08-14T21:59:53.5671742Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:53.5672028Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:53.5672316Z DEVICE_NAME: 2025-08-14T21:59:53.5672470Z DEVICE_TYPE: 2025-08-14T21:59:53.5672610Z ##[endgroup] 2025-08-14T21:59:53.8066178Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:59:53.8070487Z With the provided path, there will be 1 file uploaded 2025-08-14T21:59:53.8074552Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:59:53.8096776Z Starting upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip 2025-08-14T21:59:53.9582217Z Finished upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip 2025-08-14T21:59:53.9742261Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:59:53.9742474Z with: 2025-08-14T21:59:53.9742629Z s3-bucket: gha-artifacts 2025-08-14T21:59:53.9742837Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:59:53.9743042Z retention-days: 14 2025-08-14T21:59:53.9743206Z if-no-files-found: ignore 2025-08-14T21:59:53.9743381Z path: debug-*.zip 2025-08-14T21:59:53.9743521Z name: artifact 2025-08-14T21:59:53.9743668Z region: us-east-1 2025-08-14T21:59:53.9743814Z env: 2025-08-14T21:59:53.9743948Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:53.9744304Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:53.9744592Z DEVICE_NAME: 2025-08-14T21:59:53.9744740Z DEVICE_TYPE: 2025-08-14T21:59:53.9744930Z ##[endgroup] 2025-08-14T21:59:54.2064003Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T21:59:54.2235867Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T21:59:54.2236119Z # shellcheck disable=SC2156 2025-08-14T21:59:54.2236460Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T21:59:54.2241003Z shell: /usr/bin/bash -e {0} 2025-08-14T21:59:54.2241183Z env: 2025-08-14T21:59:54.2241326Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:54.2241604Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:54.2241896Z DEVICE_NAME: 2025-08-14T21:59:54.2242074Z DEVICE_TYPE: 2025-08-14T21:59:54.2242233Z ##[endgroup] 2025-08-14T21:59:54.3939982Z Prepare all required actions 2025-08-14T21:59:54.3940271Z Getting action download info 2025-08-14T21:59:54.4965711Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T21:59:54.4965963Z with: 2025-08-14T21:59:54.4966117Z job_id: 48128039109 2025-08-14T21:59:54.4966433Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:59:54.4966761Z workflow_name: inductor 2025-08-14T21:59:54.4966938Z workflow_run_id: 16976255153 2025-08-14T21:59:54.4967114Z workflow_attempt: 1 2025-08-14T21:59:54.4967262Z env: 2025-08-14T21:59:54.4967404Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:54.4967682Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:54.4967965Z DEVICE_NAME: 2025-08-14T21:59:54.4968111Z DEVICE_TYPE: 2025-08-14T21:59:54.4968254Z ##[endgroup] 2025-08-14T21:59:54.4990184Z ##[group]Run echo "workflow_id: 16976255153" 2025-08-14T21:59:54.4990461Z echo "workflow_id: 16976255153" 2025-08-14T21:59:54.4990668Z echo "workflow_attempt: 1" 2025-08-14T21:59:54.4990863Z echo "workflow_Name: inductor" 2025-08-14T21:59:54.4991065Z echo "job_id: 48128039109" 2025-08-14T21:59:54.4991431Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" 2025-08-14T21:59:54.4991784Z echo "artifact_prefix: " 2025-08-14T21:59:54.4991984Z python3 --version 2025-08-14T21:59:54.4996386Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:54.4996614Z env: 2025-08-14T21:59:54.4996758Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:54.4997055Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:54.4997359Z DEVICE_NAME: 2025-08-14T21:59:54.4997507Z DEVICE_TYPE: 2025-08-14T21:59:54.4997662Z ##[endgroup] 2025-08-14T21:59:54.5021796Z workflow_id: 16976255153 2025-08-14T21:59:54.5023724Z workflow_attempt: 1 2025-08-14T21:59:54.5028074Z workflow_Name: inductor 2025-08-14T21:59:54.5029920Z job_id: 48128039109 2025-08-14T21:59:54.5030424Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:59:54.5035120Z artifact_prefix: 2025-08-14T21:59:54.5036559Z Python 3.9.23 2025-08-14T21:59:54.5071756Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:59:54.5071949Z with: 2025-08-14T21:59:54.5072092Z shell: bash 2025-08-14T21:59:54.5072240Z timeout_minutes: 5 2025-08-14T21:59:54.5072389Z max_attempts: 5 2025-08-14T21:59:54.5072545Z retry_wait_seconds: 30 2025-08-14T21:59:54.5072863Z 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 2025-08-14T21:59:54.5073193Z polling_interval_seconds: 1 2025-08-14T21:59:54.5073362Z warning_on_retry: true 2025-08-14T21:59:54.5073526Z continue_on_error: false 2025-08-14T21:59:54.5073750Z env: 2025-08-14T21:59:54.5073888Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:54.5074168Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T21:59:54.5074501Z DEVICE_NAME: 2025-08-14T21:59:54.5074643Z DEVICE_TYPE: 2025-08-14T21:59:54.5074798Z ##[endgroup] 2025-08-14T21:59:54.7526781Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:59:54.8178338Z Collecting python-dateutil==2.8.2 2025-08-14T21:59:54.8324706Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T21:59:55.4732011Z Collecting boto3==1.35.42 2025-08-14T21:59:55.4773151Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T21:59:55.8250082Z Collecting pandas==2.1.3 2025-08-14T21:59:55.8289908Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T21:59:55.9603008Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T21:59:55.9614839Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T21:59:55.9648571Z 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) 2025-08-14T21:59:55.9653310Z 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) 2025-08-14T21:59:55.9654633Z 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) 2025-08-14T21:59:56.0288510Z Collecting tzdata>=2022.1 2025-08-14T21:59:56.0329163Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T21:59:56.5919301Z Collecting numpy<2,>=1.22.4 2025-08-14T21:59:56.5962463Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T21:59:56.7152334Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T21:59:56.7174097Z 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) 2025-08-14T21:59:56.7175996Z 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) 2025-08-14T21:59:56.7236376Z 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) 2025-08-14T21:59:56.7299557Z 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) 2025-08-14T21:59:56.7370914Z 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) 2025-08-14T21:59:56.7371888Z 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) 2025-08-14T21:59:56.8455600Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T22:00:00.5791444Z Attempting uninstall: boto3 2025-08-14T22:00:00.5795570Z Found existing installation: boto3 1.35.33 2025-08-14T22:00:00.5852201Z Uninstalling boto3-1.35.33: 2025-08-14T22:00:00.5860420Z Successfully uninstalled boto3-1.35.33 2025-08-14T22:00:00.6267581Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T22:00:01.5751927Z Command completed after 1 attempt(s). 2025-08-14T22:00:01.5809851Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:00:01.5810286Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:00:01.5810713Z  --workflow-run-id "16976255153" \ 2025-08-14T22:00:01.5810944Z  --workflow-name "inductor" \ 2025-08-14T22:00:01.5811159Z  --workflow-run-attempt "1" \ 2025-08-14T22:00:01.5811420Z  --job-id "48128039109" \ 2025-08-14T22:00:01.5811803Z  --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" \ 2025-08-14T22:00:01.5812185Z  --local-path "" \ 2025-08-14T22:00:01.5812380Z  --artifact-prefix "" 2025-08-14T22:00:01.5818160Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:00:01.5818408Z env: 2025-08-14T22:00:01.5818569Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:00:01.5818864Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T22:00:01.5819180Z DEVICE_NAME: 2025-08-14T22:00:01.5819345Z DEVICE_TYPE: 2025-08-14T22:00:01.5819530Z ##[endgroup] 2025-08-14T22:00:02.4372429Z repo: pytorch/pytorch 2025-08-14T22:00:02.4373543Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T22:00:02.4374317Z Downloading logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip 2025-08-14T22:00:02.4374899Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_48128039109.zip 2025-08-14T22:00:02.4375357Z Converted Log Model: UtilizationMetadata: 2025-08-14T22:00:02.4376310Z UtilizationMetadata(level='metadata', workflow_id='16976255153', job_id='48128039109', workflow_name='inductor', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755206933, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T22:00:02.4377237Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-08-14T22:00:02.4377541Z [db model] Peek db timeseries 2025-08-14T22:00:02.4377762Z :{ 2025-08-14T22:00:02.4377939Z "created_at": 1755208802, 2025-08-14T22:00:02.4378164Z "type": "utilization", 2025-08-14T22:00:02.4378348Z "tags": [ 2025-08-14T22:00:02.4378523Z "record" 2025-08-14T22:00:02.4378708Z ], 2025-08-14T22:00:02.4378900Z "time_stamp": 1755206933, 2025-08-14T22:00:02.4379113Z "repo": "pytorch/pytorch", 2025-08-14T22:00:02.4379342Z "workflow_id": 16976255153, 2025-08-14T22:00:02.4379532Z "run_attempt": 1, 2025-08-14T22:00:02.4379713Z "job_id": 48128039109, 2025-08-14T22:00:02.4379932Z "workflow_name": "inductor", 2025-08-14T22:00:02.4380314Z "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", 2025-08-14T22:00:02.4380703Z "json_data": "{}" 2025-08-14T22:00:02.4380889Z } 2025-08-14T22:00:02.4381248Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039109/metadata 2025-08-14T22:00:02.4381871Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039109/metadata 2025-08-14T22:00:02.4382458Z Writing 370 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039109/time_series 2025-08-14T22:00:02.4383069Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039109/time_series 2025-08-14T22:00:02.5582427Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T22:00:02.5582732Z with: 2025-08-14T22:00:02.5582890Z env: 2025-08-14T22:00:02.5583047Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:00:02.5583371Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T22:00:02.5583704Z DEVICE_NAME: 2025-08-14T22:00:02.5583875Z DEVICE_TYPE: 2025-08-14T22:00:02.5584032Z ##[endgroup] 2025-08-14T22:00:02.5599177Z ##[group]Run set -eou pipefail 2025-08-14T22:00:02.5599423Z set -eou pipefail 2025-08-14T22:00:02.5599615Z  2025-08-14T22:00:02.5599873Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T22:00:02.5600285Z for _ in $(seq 1440); do 2025-08-14T22:00:02.5600906Z  # Break if no ssh session exists anymore 2025-08-14T22:00:02.5601325Z  if [ "$(who)" = "" ]; then 2025-08-14T22:00:02.5601575Z  break 2025-08-14T22:00:02.5601849Z  fi 2025-08-14T22:00:02.5602060Z  echo "." 2025-08-14T22:00:02.5602265Z  sleep 5 2025-08-14T22:00:02.5602467Z done 2025-08-14T22:00:02.5607675Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:00:02.5607936Z env: 2025-08-14T22:00:02.5608109Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:00:02.5608429Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T22:00:02.5608750Z DEVICE_NAME: 2025-08-14T22:00:02.5608924Z DEVICE_TYPE: 2025-08-14T22:00:02.5609103Z ##[endgroup] 2025-08-14T22:00:02.5633383Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T22:00:02.5725051Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:00:02.5725443Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:00:02.5725724Z # shellcheck disable=SC2046 2025-08-14T22:00:02.5725958Z docker stop $(docker ps -q) || true 2025-08-14T22:00:02.5726175Z # Prune all of the docker images 2025-08-14T22:00:02.5726389Z docker system prune -af 2025-08-14T22:00:02.5730932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:00:02.5731168Z env: 2025-08-14T22:00:02.5731329Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:00:02.5731653Z DOCKER_CONTAINER_ID: c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T22:00:02.5731972Z DEVICE_NAME: 2025-08-14T22:00:02.5732135Z DEVICE_TYPE: 2025-08-14T22:00:02.5732289Z ##[endgroup] 2025-08-14T22:00:13.4031742Z c4508ffd4904 2025-08-14T22:00:13.8971769Z Deleted Containers: 2025-08-14T22:00:13.8974033Z c4508ffd490403c28c15ee0155edd9e0bf65a2d39b92504a1774dc5b1d28f003 2025-08-14T22:00:13.8974534Z 2025-08-14T22:00:20.6648817Z Deleted Images: 2025-08-14T22:00:20.6652262Z 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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2025-08-14T22:00:20.7622870Z git version 2.47.1 2025-08-14T22:00:20.7650843Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/c65d845a-4c82-41c9-aa85-eea7aa23e860/.gitconfig' 2025-08-14T22:00:20.7669632Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/c65d845a-4c82-41c9-aa85-eea7aa23e860' before making global git config changes 2025-08-14T22:00:20.7673540Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:00:20.7674114Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T22:00:20.7720191Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:00:20.7756299Z [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' || :" 2025-08-14T22:00:20.8080517Z Entering 'android/libs/fbjni' 2025-08-14T22:00:20.8136330Z Entering 'third_party/FP16' 2025-08-14T22:00:20.8187565Z Entering 'third_party/FXdiv' 2025-08-14T22:00:20.8247799Z Entering 'third_party/NNPACK' 2025-08-14T22:00:20.8300534Z Entering 'third_party/NVTX' 2025-08-14T22:00:20.8358011Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:00:20.8415313Z Entering 'third_party/XNNPACK' 2025-08-14T22:00:20.8485234Z Entering 'third_party/aiter' 2025-08-14T22:00:20.8543309Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:00:20.8601534Z Entering 'third_party/benchmark' 2025-08-14T22:00:20.8660656Z Entering 'third_party/composable_kernel' 2025-08-14T22:00:20.8724627Z Entering 'third_party/cpp-httplib' 2025-08-14T22:00:20.8777092Z Entering 'third_party/cpuinfo' 2025-08-14T22:00:20.8837252Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:00:20.8891336Z Entering 'third_party/cutlass' 2025-08-14T22:00:20.8954797Z Entering 'third_party/fbgemm' 2025-08-14T22:00:20.9010248Z 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'third_party/gloo' 2025-08-14T22:00:20.9812424Z Entering 'third_party/googletest' 2025-08-14T22:00:20.9866667Z Entering 'third_party/ideep' 2025-08-14T22:00:20.9916783Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:00:20.9977829Z Entering 'third_party/ittapi' 2025-08-14T22:00:21.0034123Z Entering 'third_party/kineto' 2025-08-14T22:00:21.0086232Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:00:21.0139493Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:00:21.0193083Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:00:21.0251132Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:00:21.0301167Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:00:21.0355424Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:00:21.0416338Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:00:21.0467040Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:00:21.0522600Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:00:21.0575146Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:00:21.0634772Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:00:21.0688333Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:00:21.0747256Z Entering 'third_party/kleidiai' 2025-08-14T22:00:21.0802773Z Entering 'third_party/mimalloc' 2025-08-14T22:00:21.0861524Z Entering 'third_party/nlohmann' 2025-08-14T22:00:21.0917797Z Entering 'third_party/onnx' 2025-08-14T22:00:21.0982128Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:00:21.1037733Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:00:21.1092310Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:00:21.1145578Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:00:21.1197678Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:00:21.1254911Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:00:21.1309288Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:00:21.1363451Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:00:21.1416663Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:00:21.1468299Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:00:21.1522052Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:00:21.1578967Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:00:21.1646880Z Entering 'third_party/pocketfft' 2025-08-14T22:00:21.1701535Z Entering 'third_party/protobuf' 2025-08-14T22:00:21.1757386Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:00:21.1812743Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:00:21.1870226Z Entering 'third_party/psimd' 2025-08-14T22:00:21.1925247Z Entering 'third_party/pthreadpool' 2025-08-14T22:00:21.1979490Z Entering 'third_party/pybind11' 2025-08-14T22:00:21.2035878Z Entering 'third_party/python-peachpy' 2025-08-14T22:00:21.2087824Z Entering 'third_party/sleef' 2025-08-14T22:00:21.2142135Z Entering 'third_party/tensorpipe' 2025-08-14T22:00:21.2196587Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:00:21.2250395Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:00:21.2301361Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:00:21.2357693Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:00:21.2410221Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:00:21.2492264Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:00:21.2518532Z http.https://github.com/.extraheader 2025-08-14T22:00:21.2530635Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:00:21.2568727Z [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' || :" 2025-08-14T22:00:21.2884684Z Entering 'android/libs/fbjni' 2025-08-14T22:00:21.2917571Z http.https://github.com/.extraheader 2025-08-14T22:00:21.2954947Z Entering 'third_party/FP16' 2025-08-14T22:00:21.2987259Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3027285Z Entering 'third_party/FXdiv' 2025-08-14T22:00:21.3061493Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3096570Z Entering 'third_party/NNPACK' 2025-08-14T22:00:21.3134723Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3170231Z Entering 'third_party/NVTX' 2025-08-14T22:00:21.3208099Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3243376Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:00:21.3279320Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3313992Z Entering 'third_party/XNNPACK' 2025-08-14T22:00:21.3347707Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3398454Z Entering 'third_party/aiter' 2025-08-14T22:00:21.3434353Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3471147Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:00:21.3498409Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3545498Z Entering 'third_party/benchmark' 2025-08-14T22:00:21.3582620Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3617384Z Entering 'third_party/composable_kernel' 2025-08-14T22:00:21.3653245Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3696304Z Entering 'third_party/cpp-httplib' 2025-08-14T22:00:21.3740348Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3774136Z Entering 'third_party/cpuinfo' 2025-08-14T22:00:21.3810018Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3849348Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:00:21.3883088Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3919370Z Entering 'third_party/cutlass' 2025-08-14T22:00:21.3953139Z http.https://github.com/.extraheader 2025-08-14T22:00:21.3995159Z Entering 'third_party/fbgemm' 2025-08-14T22:00:21.4033139Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4071645Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:00:21.4104168Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4139370Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:00:21.4170543Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4215836Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:00:21.4250571Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4286016Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:00:21.4319617Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4361824Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:00:21.4395675Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4433813Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:00:21.4467781Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4502059Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:00:21.4534962Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4575406Z Entering 'third_party/flash-attention' 2025-08-14T22:00:21.4610605Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4644221Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:00:21.4676873Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4717132Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:00:21.4750031Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4795290Z Entering 'third_party/flatbuffers' 2025-08-14T22:00:21.4831690Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4871831Z Entering 'third_party/fmt' 2025-08-14T22:00:21.4906003Z http.https://github.com/.extraheader 2025-08-14T22:00:21.4945269Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:00:21.4979733Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5017649Z Entering 'third_party/gloo' 2025-08-14T22:00:21.5054699Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5090502Z Entering 'third_party/googletest' 2025-08-14T22:00:21.5125625Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5164715Z Entering 'third_party/ideep' 2025-08-14T22:00:21.5198874Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5233765Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:00:21.5265918Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5319810Z Entering 'third_party/ittapi' 2025-08-14T22:00:21.5354378Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5394233Z Entering 'third_party/kineto' 2025-08-14T22:00:21.5429034Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5464799Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:00:21.5495535Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5531157Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:00:21.5566257Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5601214Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:00:21.5635917Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5673866Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:00:21.5709740Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5744322Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:00:21.5778289Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5815760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:00:21.5849955Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5890170Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:00:21.5923764Z http.https://github.com/.extraheader 2025-08-14T22:00:21.5958446Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:00:21.5989829Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6025164Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:00:21.6061230Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6096671Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:00:21.6132351Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6173347Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:00:21.6209495Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6246483Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:00:21.6281334Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6320191Z Entering 'third_party/kleidiai' 2025-08-14T22:00:21.6354261Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6394221Z Entering 'third_party/mimalloc' 2025-08-14T22:00:21.6427932Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6464896Z Entering 'third_party/nlohmann' 2025-08-14T22:00:21.6499485Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6534808Z Entering 'third_party/onnx' 2025-08-14T22:00:21.6568725Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6618478Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:00:21.6652939Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6693219Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:00:21.6729485Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6766321Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:00:21.6796631Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6834407Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:00:21.6868977Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6901063Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:00:21.6935989Z http.https://github.com/.extraheader 2025-08-14T22:00:21.6971289Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:00:21.7007857Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7045522Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:00:21.7078221Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7118710Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:00:21.7151360Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7187181Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:00:21.7223139Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7259480Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:00:21.7292255Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7332907Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:00:21.7367864Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7409372Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:00:21.7441577Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7496958Z Entering 'third_party/pocketfft' 2025-08-14T22:00:21.7533588Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7569600Z Entering 'third_party/protobuf' 2025-08-14T22:00:21.7608853Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7646916Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:00:21.7678425Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7718749Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:00:21.7750450Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7793046Z Entering 'third_party/psimd' 2025-08-14T22:00:21.7826994Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7862071Z Entering 'third_party/pthreadpool' 2025-08-14T22:00:21.7895281Z http.https://github.com/.extraheader 2025-08-14T22:00:21.7933852Z Entering 'third_party/pybind11' 2025-08-14T22:00:21.7970442Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8008925Z Entering 'third_party/python-peachpy' 2025-08-14T22:00:21.8046982Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8085202Z Entering 'third_party/sleef' 2025-08-14T22:00:21.8125198Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8164135Z Entering 'third_party/tensorpipe' 2025-08-14T22:00:21.8196612Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8234597Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:00:21.8266989Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8299799Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:00:21.8336659Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8375418Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:00:21.8408908Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8447024Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:00:21.8480647Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8513266Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:00:21.8546593Z http.https://github.com/.extraheader 2025-08-14T22:00:21.8708955Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T22:00:21.8734725Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T22:00:21.8738044Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:00:21.8738291Z ##[endgroup] 2025-08-14T22:00:21.8825161Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T22:00:30.4560926Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T22:00:45.1877392Z Cleaning up orphan processes