2025-09-07T07:34:57.0440536Z Current runner version: '2.328.0' 2025-09-07T07:34:57.0444599Z Runner name: 'i-0ddf92ca892c450b3' 2025-09-07T07:34:57.0445481Z Runner group name: 'default' 2025-09-07T07:34:57.0446101Z Machine name: 'ip-10-0-64-133' 2025-09-07T07:34:57.0448097Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:34:57.0449738Z Contents: read 2025-09-07T07:34:57.0450129Z Metadata: read 2025-09-07T07:34:57.0450531Z ##[endgroup] 2025-09-07T07:34:57.0452084Z Secret source: Actions 2025-09-07T07:34:57.0452626Z Prepare workflow directory 2025-09-07T07:34:57.0795048Z Prepare all required actions 2025-09-07T07:34:57.0825214Z Getting action download info 2025-09-07T07:34:57.3601583Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:34:59.1762544Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:35:11.7270274Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:35:11.9669803Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:35:12.1355163Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:35:12.2629772Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:35:12.4765949Z Getting action download info 2025-09-07T07:35:12.5852066Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:35:12.8044237Z Getting action download info 2025-09-07T07:35:12.9105978Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:35:13.0716053Z Getting action download info 2025-09-07T07:35:13.1752178Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:35:13.3316083Z Getting action download info 2025-09-07T07:35:13.4593437Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:35:13.4596249Z ##[group] Inputs 2025-09-07T07:35:13.4596578Z build-environment: linux-jammy-py3.9-gcc11-build 2025-09-07T07:35:13.4598863Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:35:13.4601693Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:35:13.4602438Z sync-tag: 2025-09-07T07:35:13.4603028Z timeout-minutes: 720 2025-09-07T07:35:13.4603237Z use-gha: 2025-09-07T07:35:13.4603754Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:35:13.4604259Z s3-bucket: gha-artifacts 2025-09-07T07:35:13.4604503Z aws-role-to-assume: 2025-09-07T07:35:13.4604964Z disable-monitor: false 2025-09-07T07:35:13.4605209Z monitor-log-interval: 15 2025-09-07T07:35:13.4605473Z monitor-data-collect-interval: 4 2025-09-07T07:35:13.4605799Z ##[endgroup] 2025-09-07T07:35:13.4606188Z Complete job name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:35:13.5221555Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:35:13.5396661Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:35:13.5402401Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:35:13.5402796Z ##[endgroup] 2025-09-07T07:35:14.4562297Z Runner Type: linux.24xl.spr-metal 2025-09-07T07:35:14.4593487Z Instance Type: c7i.metal-24xl 2025-09-07T07:35:14.4593684Z AMI Name: unknown 2025-09-07T07:35:14.4593864Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T07:35:18.1407327Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:35:18.1407641Z with: 2025-09-07T07:35:18.1408145Z github-secret: *** 2025-09-07T07:35:18.1408572Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:35:18.1409016Z activate-with-label: false 2025-09-07T07:35:18.1409216Z label: with-ssh 2025-09-07T07:35:18.1409396Z remove-existing-keys: true 2025-09-07T07:35:18.1409577Z fail-silently: true 2025-09-07T07:35:18.1409756Z env: 2025-09-07T07:35:18.1409908Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:35:18.1410101Z ##[endgroup] 2025-09-07T07:35:18.2430682Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:35:18.2431715Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:35:18.2575156Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:35:18.2575425Z with: 2025-09-07T07:35:18.2575585Z no-sudo: true 2025-09-07T07:35:18.2575759Z submodules: recursive 2025-09-07T07:35:18.2575947Z fetch-depth: 0 2025-09-07T07:35:18.2576104Z env: 2025-09-07T07:35:18.2576259Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:35:18.2576437Z ##[endgroup] 2025-09-07T07:35:18.2631097Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:35:18.2631662Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:35:18.2638862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:35:18.2639137Z env: 2025-09-07T07:35:18.2639340Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:35:18.2639553Z ##[endgroup] 2025-09-07T07:35:18.2703312Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:35:18.2703618Z # Use all available CPUs for fetching 2025-09-07T07:35:18.2703850Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:35:18.2704074Z git config --global fetch.parallel 0 2025-09-07T07:35:18.2704329Z git config --global submodule.fetchJobs 0 2025-09-07T07:35:18.2704552Z  2025-09-07T07:35:18.2704881Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:35:18.2705199Z # do it here as well just in case 2025-09-07T07:35:18.2705413Z if [[ -d .git ]]; then 2025-09-07T07:35:18.2705624Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:35:18.2705837Z  sudo git clean -ffdx 2025-09-07T07:35:18.2706033Z  else 2025-09-07T07:35:18.2706316Z  git clean -ffdx 2025-09-07T07:35:18.2706506Z  fi 2025-09-07T07:35:18.2706668Z fi 2025-09-07T07:35:18.2710591Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:35:18.2710834Z env: 2025-09-07T07:35:18.2711003Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:35:18.2711196Z NO_SUDO: true 2025-09-07T07:35:18.2711364Z ##[endgroup] 2025-09-07T07:35:18.2805039Z ##[group]Run actions/checkout@v4 2025-09-07T07:35:18.2805263Z with: 2025-09-07T07:35:18.2805447Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:18.2805658Z fetch-depth: 0 2025-09-07T07:35:18.2805832Z submodules: recursive 2025-09-07T07:35:18.2806016Z show-progress: false 2025-09-07T07:35:18.2806199Z repository: pytorch/pytorch 2025-09-07T07:35:18.2806452Z token: *** 2025-09-07T07:35:18.2806608Z ssh-strict: true 2025-09-07T07:35:18.2806764Z ssh-user: git 2025-09-07T07:35:18.2806928Z persist-credentials: true 2025-09-07T07:35:18.2807104Z clean: true 2025-09-07T07:35:18.2807282Z sparse-checkout-cone-mode: true 2025-09-07T07:35:18.2807477Z fetch-tags: false 2025-09-07T07:35:18.2807635Z lfs: false 2025-09-07T07:35:18.2807786Z set-safe-directory: true 2025-09-07T07:35:18.2807974Z env: 2025-09-07T07:35:18.2808130Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:35:18.2808307Z ##[endgroup] 2025-09-07T07:35:18.3598615Z Syncing repository: pytorch/pytorch 2025-09-07T07:35:18.3599585Z ##[group]Getting Git version info 2025-09-07T07:35:18.3599909Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:35:18.3600344Z [command]/usr/bin/git version 2025-09-07T07:35:18.3786118Z git version 2.47.1 2025-09-07T07:35:18.3801155Z ##[endgroup] 2025-09-07T07:35:18.3810225Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/7c847bd6-bd64-4d5b-bf1d-c8f43b50bf62/.gitconfig' 2025-09-07T07:35:18.3827610Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7c847bd6-bd64-4d5b-bf1d-c8f43b50bf62' before making global git config changes 2025-09-07T07:35:18.3828241Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:35:18.3831125Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:18.3868998Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:35:18.3871104Z ##[group]Initializing the repository 2025-09-07T07:35:18.3874118Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:18.3916725Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:35:18.3917073Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:35:18.3917413Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:35:18.3917674Z hint: 2025-09-07T07:35:18.3917895Z hint: git config --global init.defaultBranch 2025-09-07T07:35:18.3918125Z hint: 2025-09-07T07:35:18.3918343Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:35:18.3918686Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:35:18.3918949Z hint: 2025-09-07T07:35:18.3919109Z hint: git branch -m 2025-09-07T07:35:18.3933417Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:35:18.3939342Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:35:18.3966704Z ##[endgroup] 2025-09-07T07:35:18.3967005Z ##[group]Disabling automatic garbage collection 2025-09-07T07:35:18.3970064Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:35:18.3990086Z ##[endgroup] 2025-09-07T07:35:18.3990395Z ##[group]Setting up auth 2025-09-07T07:35:18.3994873Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:35:18.4014455Z [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' || :" 2025-09-07T07:35:18.4290698Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:35:18.4312874Z [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' || :" 2025-09-07T07:35:18.4565657Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:35:18.4612495Z ##[endgroup] 2025-09-07T07:35:18.4612812Z ##[group]Fetching the repository 2025-09-07T07:35:18.4619164Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:35:57.6809874Z From https://github.com/pytorch/pytorch 2025-09-07T07:35:57.6810238Z * [new branch] 160583 -> origin/160583 2025-09-07T07:35:57.6810591Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:35:57.6811221Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:35:57.6811620Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:35:57.6812060Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:35:57.6812454Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:35:57.6812829Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:35:57.6813208Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:35:57.6813534Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:35:57.6813898Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:35:57.6814716Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:35:57.6815063Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:35:57.6815382Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:35:57.6815720Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:35:57.6816037Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:35:57.6816371Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:35:57.6816789Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:35:57.6817170Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:35:57.6817513Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:35:57.6817857Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:35:57.6818168Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:35:57.6818451Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:35:57.6818735Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:35:57.6819033Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:35:57.6819639Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:35:57.6820202Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:35:57.6821374Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:35:57.6822044Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:35:57.6822508Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:35:57.6822825Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:35:57.6823654Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:35:57.6824807Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:35:57.6825343Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:35:57.6825921Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:35:57.6827009Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:35:57.6827468Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:35:57.6828028Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:35:57.6828669Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:35:57.6829304Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:35:57.6829841Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:35:57.6830710Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:35:57.6831278Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:35:57.6832078Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:35:57.6832878Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:35:57.6833249Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:35:57.6833939Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:35:57.6834423Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:35:57.6834996Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:35:57.6835534Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:35:57.6836107Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:35:57.6836691Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:35:57.6837263Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:35:57.6837868Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:35:57.6838457Z 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2025-09-07T07:35:57.9823596Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:35:57.9824184Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:35:57.9824625Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:35:57.9825158Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:35:57.9825439Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:35:57.9825736Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:35:57.9826433Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:35:57.9826675Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:35:57.9827008Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:35:57.9827404Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:35:57.9827783Z * [new tag] 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2025-09-07T07:35:57.9843990Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:35:57.9844361Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:35:57.9844723Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:35:57.9844993Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:35:57.9845301Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:35:57.9845654Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:35:57.9846016Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:35:57.9846304Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:35:57.9846624Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:35:57.9846925Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:35:57.9847263Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:35:57.9847591Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:35:57.9848028Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:35:57.9848637Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:35:57.9848863Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:35:57.9849273Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:35:57.9849677Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:35:57.9850002Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:35:57.9850340Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:35:57.9850882Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:35:57.9851106Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:35:57.9851646Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:35:57.9851911Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:35:57.9852258Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:35:57.9852793Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:35:57.9853052Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:35:57.9853466Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:35:57.9854017Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:35:57.9854391Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:35:57.9854832Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:35:57.9855174Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:35:57.9855609Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:35:57.9856195Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:35:57.9856622Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:35:57.9857196Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:35:57.9857529Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:35:57.9857850Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:35:57.9858246Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:35:57.9858616Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:35:57.9859143Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:35:57.9859965Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:35:57.9860216Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:35:57.9860573Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:35:57.9860924Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:35:57.9861230Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:35:57.9861571Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:35:57.9861913Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:35:57.9862302Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:35:57.9862650Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:35:57.9862994Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:35:57.9863413Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:35:57.9863805Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:35:57.9864462Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:35:57.9865066Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:35:57.9865354Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:35:57.9865657Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:35:57.9866215Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:35:57.9866539Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:35:57.9866842Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:35:57.9867402Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:35:57.9867684Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:35:57.9868021Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:35:57.9868349Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:35:57.9868740Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:35:57.9869141Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:35:57.9869460Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:35:57.9869820Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:35:57.9870146Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:35:57.9870712Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:35:57.9870913Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:35:57.9871542Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:35:57.9871859Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:35:57.9872153Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:35:57.9872461Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:35:57.9872902Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:35:57.9873249Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:35:57.9873541Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:35:57.9873883Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:35:57.9874240Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:35:57.9874990Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:35:57.9875217Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:35:57.9875579Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:35:57.9875886Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:35:57.9876301Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:35:57.9876658Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:35:57.9877093Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:35:57.9877470Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:35:57.9877790Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:35:57.9878166Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:35:57.9878497Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:35:57.9878923Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:35:57.9879236Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:35:57.9879592Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:35:57.9879898Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:35:57.9880256Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:35:57.9880570Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:35:57.9880908Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:35:57.9881286Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:35:57.9881669Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:35:57.9884880Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:35:57.9885140Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:35:57.9885590Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:35:57.9886005Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:35:57.9886347Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:35:57.9886671Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:35:57.9886990Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:35:57.9887339Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:35:57.9887718Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:35:57.9888008Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:35:57.9888333Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:35:57.9888704Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:35:57.9889047Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:35:57.9889347Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:35:57.9889710Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:35:57.9890196Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:35:57.9890544Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:35:57.9890925Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:35:57.9891599Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:35:57.9891893Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:35:57.9892197Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:35:57.9892526Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:35:57.9892925Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:35:57.9893233Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:35:57.9893562Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:35:57.9893929Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:35:57.9894478Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:35:57.9894728Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:35:57.9895066Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:35:57.9895429Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:35:57.9895736Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:35:57.9896100Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:35:57.9896637Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:35:57.9896939Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:35:57.9897270Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:35:57.9897562Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:35:57.9897906Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:35:57.9898228Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:35:57.9898593Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:35:57.9898946Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:35:57.9899284Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:35:57.9899641Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:35:57.9899983Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:35:57.9900323Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:35:57.9900754Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:35:57.9901070Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:35:57.9901431Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:35:57.9901807Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:35:57.9902221Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:35:57.9902567Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:35:57.9902892Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:35:57.9903236Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:35:57.9903567Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:35:57.9903912Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:35:57.9904446Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:35:57.9904708Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:35:57.9905028Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:35:57.9905447Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:35:57.9906013Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:35:57.9906141Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:35:57.9906571Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:35:57.9906897Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:35:57.9907252Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:35:57.9907578Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:35:57.9907912Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:35:57.9908279Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:35:57.9908599Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:35:57.9908950Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:35:57.9909281Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:35:57.9909625Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:35:57.9909975Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:35:57.9910312Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:35:57.9910646Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:35:57.9910994Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:35:57.9911533Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:35:57.9911762Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:35:57.9912132Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:35:57.9912467Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:35:57.9912827Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:35:57.9913145Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:35:57.9913562Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:35:57.9913899Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:35:57.9914610Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:35:57.9914859Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:35:57.9915207Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:35:57.9915530Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:35:57.9915914Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:35:57.9916262Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:35:57.9916813Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:35:57.9917188Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:35:57.9917638Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:35:57.9918183Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:35:57.9918475Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:35:57.9918754Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:35:57.9919157Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:35:57.9919548Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:35:57.9919812Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:35:57.9920099Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:35:57.9920420Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:35:57.9920747Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:35:57.9921172Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:35:57.9921515Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:35:57.9921926Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:35:57.9922647Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:35:57.9922918Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:35:57.9923469Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:35:57.9923821Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:35:57.9924083Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:35:57.9924460Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:35:57.9924802Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:35:57.9925239Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:35:57.9925643Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:35:57.9926063Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:35:57.9926602Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:35:57.9927063Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:35:57.9927687Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:35:57.9928326Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:35:57.9928769Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:35:57.9929326Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:35:57.9929792Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:35:57.9930405Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:35:57.9930760Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:35:57.9931132Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:35:57.9931433Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:35:57.9931749Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:35:57.9932073Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:35:57.9932401Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:35:57.9932741Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:35:57.9933031Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:35:57.9933437Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:35:57.9933714Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:35:57.9934105Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:35:57.9934708Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:35:57.9935045Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:35:57.9935350Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:35:57.9935889Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:35:57.9936113Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:35:57.9936677Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:35:57.9936917Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:35:57.9937235Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:35:57.9937557Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:35:57.9938143Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:35:57.9938434Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:35:57.9938790Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:35:57.9939137Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:35:57.9939414Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:35:57.9939965Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:35:57.9940319Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:35:57.9940712Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:35:57.9941037Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:35:57.9941368Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:35:57.9941978Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:35:57.9942271Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:35:57.9943023Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:35:57.9943221Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:35:57.9943533Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:35:57.9943981Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:35:57.9944423Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:35:57.9944828Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:35:57.9945422Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:35:57.9945844Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:35:57.9946496Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:35:57.9946811Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:35:57.9947339Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:35:57.9948090Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:35:57.9948339Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:35:57.9948724Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:35:57.9949198Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:35:57.9949614Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:35:57.9950138Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:35:57.9950764Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:35:57.9950997Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:35:57.9951389Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:35:57.9951674Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:35:57.9952012Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:35:57.9952313Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:35:57.9952658Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:35:57.9953181Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:35:57.9953461Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:35:57.9953740Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:35:57.9954053Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:35:57.9954389Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:35:57.9954727Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:35:57.9955142Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:35:57.9955670Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:35:57.9956056Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:35:57.9956393Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:35:57.9956743Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:35:57.9957047Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:35:57.9957388Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:35:57.9957742Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:35:57.9958151Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:35:57.9958520Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:35:57.9958826Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:35:57.9959389Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:35:57.9959701Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:35:57.9960220Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:35:57.9960476Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:35:57.9960805Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:35:57.9961153Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:35:57.9961476Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:35:57.9961777Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:35:57.9962129Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:35:57.9962824Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:35:57.9963159Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:35:57.9963433Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:35:57.9963832Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:35:57.9964179Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:35:57.9964712Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:35:57.9965054Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:35:57.9965422Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:35:57.9965718Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:35:57.9966039Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:35:57.9966400Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:35:57.9966752Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:35:57.9967068Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:35:57.9967421Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:35:57.9967751Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:35:57.9968030Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:35:57.9968388Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:35:57.9969076Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:35:57.9969326Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:35:57.9969741Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:35:57.9970113Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:35:57.9970431Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:35:57.9970769Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:35:57.9971087Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:35:57.9971501Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:35:57.9971859Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:35:57.9972153Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:35:57.9972483Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:35:57.9972827Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:35:57.9973166Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:35:57.9973498Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:35:57.9973870Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:35:57.9974168Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:35:57.9974489Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:35:57.9974836Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:35:57.9975372Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:35:57.9975598Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:35:57.9975960Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:35:57.9976314Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:35:57.9976611Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:35:57.9976942Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:35:57.9977294Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:35:57.9977646Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:35:57.9977922Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:35:57.9978435Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:35:57.9978669Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:35:57.9979201Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:35:57.9979431Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:35:57.9979780Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:35:57.9980130Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:35:57.9980454Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:35:57.9980861Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:35:57.9981228Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:35:57.9981520Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:35:57.9981883Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:35:57.9982234Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:35:57.9982637Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:35:57.9982970Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:35:57.9983291Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:35:57.9983632Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:35:57.9983962Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:35:57.9984294Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:35:57.9984623Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:35:57.9984913Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:35:57.9985649Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:35:57.9985942Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:35:57.9986268Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:35:57.9986630Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:35:57.9986960Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:35:57.9987307Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:35:57.9987715Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:35:57.9988108Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:35:57.9988419Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:35:57.9988765Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:35:57.9989097Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:35:57.9989687Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:35:57.9989970Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:35:57.9990221Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:35:57.9990622Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:35:57.9990960Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:35:57.9991484Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:35:57.9991706Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:35:57.9992378Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:35:57.9992738Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:35:57.9993157Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:35:57.9993530Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:35:57.9993909Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:35:57.9994242Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:35:57.9994635Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:35:57.9994916Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:35:57.9995254Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:35:57.9995625Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:35:57.9996051Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:35:57.9996323Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:35:57.9996657Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:35:57.9997063Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:35:57.9997584Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:35:57.9997988Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:35:57.9998502Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:35:57.9998835Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:35:57.9999171Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:35:57.9999500Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:35:58.0000013Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:35:58.0000311Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:35:58.0000721Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:35:58.0001313Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:35:58.0001820Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:35:58.0002328Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:35:58.0002741Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:35:58.0003111Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:35:58.0003585Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:35:58.0003959Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:35:58.0004355Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:35:58.0004835Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:35:58.0005232Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:35:58.0005890Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:35:58.0006187Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:35:58.0006533Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:35:58.0007309Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:35:58.0007618Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:35:58.0008134Z * [new tag] flight_5 -> flight_5 2025-09-07T07:35:58.0008484Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:35:58.0008994Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:35:58.0009260Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:35:58.0009686Z * [new tag] forpull1 -> forpull1 2025-09-07T07:35:58.0010340Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:35:58.0010669Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:35:58.0011197Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:35:58.0011590Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:35:58.0011916Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:35:58.0012505Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:35:58.0013183Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:35:58.0013604Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:35:58.0014170Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:35:58.0014884Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:35:58.0015278Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:35:58.0015758Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:35:58.0016213Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:35:58.0016707Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:35:58.0017332Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:35:58.0017675Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:35:58.0018081Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:35:58.0018487Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:35:58.0018940Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:35:58.0019903Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:35:58.0020286Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:35:58.0020787Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:35:58.0021357Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:35:58.0021702Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:35:58.0022116Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:35:58.0022592Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:35:58.0023019Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:35:58.0023470Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:35:58.0023944Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:35:58.0024337Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:35:58.0024783Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:35:58.0025223Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:35:58.0025644Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:35:58.0026069Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:35:58.0026993Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:35:58.0027373Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:35:58.0027825Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:35:58.0028143Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:35:58.0028816Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:35:58.0029193Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:35:58.0029596Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:35:58.0030027Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:35:58.0030455Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:35:58.0030883Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:35:58.0031272Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:35:58.0031726Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:35:58.0032171Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:35:58.0032612Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:35:58.0033042Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:35:58.0033395Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:35:58.0033844Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:35:58.0034351Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:35:58.0034845Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:35:58.0035355Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:35:58.0035834Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:35:58.0036294Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:35:58.0036684Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:35:58.0037084Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:35:58.0037501Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:35:58.0037935Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:35:58.0038478Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:35:58.0038846Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:35:58.0039301Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:35:58.0039669Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:35:58.0040054Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:35:58.0040457Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:35:58.0040767Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:35:58.0041652Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:35:58.0042045Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:35:58.0042431Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:35:58.0042864Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:35:58.0043360Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:35:58.0043755Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:35:58.0044163Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:35:58.0044633Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:35:58.0045038Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:35:58.0045436Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:35:58.0045847Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:35:58.0046258Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:35:58.0046653Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:35:58.0047115Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:35:58.0047448Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:35:58.0047902Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:35:58.0048332Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:35:58.0048663Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:35:58.0049334Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:35:58.0049611Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:35:58.0050066Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:35:58.0050514Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:35:58.0050954Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:35:58.0051406Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:35:58.0051707Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:35:58.0052368Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:35:58.0052710Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:35:58.0053142Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:35:58.0053599Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:35:58.0054147Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:35:58.0054539Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:35:58.0054966Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:35:58.0055385Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:35:58.0055820Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:35:58.0056274Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:35:58.0056698Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:35:58.0057128Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:35:58.0057630Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:35:58.0058062Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:35:58.0058498Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:35:58.0058918Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:35:58.0059835Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:35:58.0060175Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:35:58.0060560Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:35:58.0060994Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:35:58.0061447Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:35:58.0061825Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:35:58.0062290Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:35:58.0062694Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:35:58.0063171Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:35:58.0063630Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:35:58.0064078Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:35:58.0064542Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:35:58.0065022Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:35:58.0065429Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:35:58.0065901Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:35:58.0066242Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:35:58.0066594Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:35:58.0067461Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:35:58.0067675Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:35:58.0068018Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:35:58.0068390Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:35:58.0068871Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:35:58.0069549Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:35:58.0070347Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:35:58.0070556Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:35:58.0070890Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:35:58.0071271Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:35:58.0071779Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:35:58.0072228Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:35:58.0072729Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:35:58.0073170Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:35:58.0073655Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:35:58.0074116Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:35:58.0074604Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:35:58.0075115Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:35:58.0075545Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:35:58.0075979Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:35:58.0076431Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:35:58.0077227Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:35:58.0077659Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:35:58.0078296Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:35:58.0078761Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:35:58.0079289Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:35:58.0079727Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:35:58.0080154Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:58.0080560Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:35:58.0081290Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:35:58.0081746Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:35:58.0082142Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:35:58.0082636Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:35:58.0083084Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:35:58.0083710Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:35:58.0084090Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:35:58.0084523Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:35:58.0085001Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:35:58.0085424Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:35:58.0085882Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:35:58.0086299Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:35:58.0086771Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:35:58.0087206Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:35:58.0087649Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:35:58.0088118Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:35:58.0088609Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:35:58.0089054Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:35:58.0089504Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:35:58.0089949Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:35:58.0090385Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:35:58.0090853Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:35:58.0091317Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:35:58.0091748Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:35:58.0092111Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:35:58.0092604Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:35:58.0093060Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:35:58.0093567Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:35:58.0094003Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:35:58.0094643Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:35:58.0094992Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:35:58.0095455Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:35:58.0095935Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:35:58.0096418Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:35:58.0096892Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:35:58.0097355Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:35:58.0097867Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:35:58.0098327Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:35:58.0098768Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:35:58.0099227Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:35:58.0099666Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:35:58.0100499Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:35:58.0100864Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:35:58.0101307Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:35:58.0101782Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:35:58.0102402Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:35:58.0102817Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:35:58.0103233Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:35:58.0103756Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:35:58.0104228Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:35:58.0104856Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:35:58.0105208Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:35:58.0105696Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:35:58.0106470Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:35:58.0106741Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:35:58.0107011Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:35:58.0107532Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:35:58.0107987Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:35:58.0108659Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:35:58.0109144Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:35:58.0109612Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:35:58.0110077Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:35:58.0110534Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:35:58.0111014Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:35:58.0111402Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:35:58.0111852Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:35:58.0112307Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:35:58.0112776Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:35:58.0113231Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:35:58.0113691Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:35:58.0114146Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:35:58.0114590Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:35:58.0115036Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:35:58.0115511Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:35:58.0116149Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:35:58.0116483Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:35:58.0116947Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:35:58.0117364Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:35:58.0117890Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:35:58.0118463Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:35:58.0118894Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:35:58.0119333Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:35:58.0119785Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:35:58.0120210Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:35:58.0120585Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:35:58.0121060Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:35:58.0122017Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:35:58.0122661Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:35:58.0123067Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:35:58.0123572Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:35:58.0124022Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:35:58.0124549Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:35:58.0124911Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:35:58.0125450Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:35:58.0125826Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:35:58.0126271Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:35:58.0126755Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:35:58.0127202Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:35:58.0127667Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:35:58.0128305Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:35:58.0128703Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:35:58.0129193Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:35:58.0129693Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:35:58.0130081Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:35:58.0130502Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:35:58.0131496Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:35:58.0131726Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:35:58.0132117Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:35:58.0132530Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:35:58.0132906Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:35:58.0133386Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:35:58.0134006Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:35:58.0134359Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:35:58.0134994Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:35:58.0135413Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:35:58.0135875Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:35:58.0136380Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:35:58.0136869Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:35:58.0137371Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:35:58.0137739Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:35:58.0138208Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:35:58.0138655Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:35:58.0139327Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:35:58.0139768Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:35:58.0140139Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:35:58.0140522Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:35:58.0140947Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:35:58.0141321Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:35:58.0141945Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:35:58.0142108Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:35:58.0142498Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:35:58.0142909Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:35:58.0143282Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:35:58.0143668Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:35:58.0144042Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:35:58.0144420Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:35:58.0144837Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:35:58.0145212Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:35:58.0145713Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:35:58.0146255Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:35:58.0146556Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:35:58.0146936Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:35:58.0147335Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:35:58.0147849Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:35:58.0148154Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:35:58.0148675Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:35:58.0149048Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:35:58.0149567Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:35:58.0149921Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:35:58.0150547Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:35:58.0151116Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:35:58.0151460Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:35:58.0151832Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:35:58.0152381Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:35:58.0152584Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:35:58.0152944Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:35:58.0153277Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:35:58.0153708Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:35:58.0154224Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:35:58.0154748Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:35:58.0155125Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:35:58.0155729Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:35:58.0156489Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:35:58.0156704Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:35:58.0157054Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:35:58.0157597Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:35:58.0157958Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:35:58.0158409Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:35:58.0158933Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:35:58.0159323Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:35:58.0159822Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:35:58.0160371Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:35:58.0160581Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:35:58.0160907Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:35:58.0161221Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:35:58.0161944Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:35:58.0162299Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:35:58.0162905Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:35:58.0163336Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:35:58.0163669Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:35:58.0164081Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:35:58.0164496Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:35:58.0164874Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:35:58.0165372Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:35:58.0165934Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:35:58.0166195Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:35:58.0166471Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:35:58.0167071Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:35:58.0167331Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:35:58.0167722Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:35:58.0168135Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:35:58.0168530Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:35:58.0169049Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:35:58.0169315Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:35:58.0169689Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:35:58.0170201Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:35:58.0170440Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:35:58.0170908Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:35:58.0171459Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:35:58.0171825Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:35:58.0172426Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:35:58.0172738Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:35:58.0173035Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:35:58.0173585Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:35:58.0173972Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:35:58.0174231Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:35:58.0174773Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:35:58.0175198Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:35:58.0175714Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:35:58.0176060Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:35:58.0176603Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:35:58.0176945Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:35:58.0177280Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:35:58.0177693Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:35:58.0178235Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:35:58.0178750Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:35:58.0179124Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:35:58.0179471Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:35:58.0179998Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:35:58.0180620Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:35:58.0180961Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:35:58.0181272Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:35:58.0181830Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:35:58.0182070Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:35:58.0182620Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:35:58.0182974Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:35:58.0183794Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:35:58.0184081Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:35:58.0184344Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:35:58.0184893Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:35:58.0185092Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:35:58.0185416Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:35:58.0186283Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:35:58.0186544Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:35:58.0187167Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:35:58.0187531Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:35:58.0188084Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:35:58.0188451Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:35:58.0188766Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:35:58.0189336Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:35:58.0189957Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:35:58.0190179Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:35:58.0190684Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:35:58.0191056Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:35:58.0191590Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:35:58.0191966Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:35:58.0192553Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:35:58.0192917Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:35:58.0193206Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:35:58.0193795Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:35:58.0194331Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:35:58.0194655Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:35:58.0195033Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:35:58.0195360Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:35:58.0196209Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:35:58.0196592Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:35:58.0197125Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:35:58.0197485Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:35:58.0198031Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:35:58.0198557Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:35:58.0198855Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:35:58.0199237Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:35:58.0199739Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:35:58.0200296Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:35:58.0200808Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:35:58.0201207Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:35:58.0201706Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:35:58.0201979Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:35:58.0202377Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:35:58.0202933Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:35:58.0203315Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:35:58.0203618Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:35:58.0204176Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:35:58.0204546Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:35:58.0204933Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:35:58.0205441Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:35:58.0205777Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:35:58.0206294Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:35:58.0206650Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:35:58.0206940Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:35:58.0207279Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:35:58.0207806Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:35:58.0208247Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:35:58.0208622Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:35:58.0208889Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:35:58.0209254Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:35:58.0209759Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:35:58.0210018Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:35:58.0210350Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:35:58.0210812Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:35:58.0211568Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:35:58.0212101Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:35:58.0212721Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:35:58.0212960Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:35:58.0213498Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:35:58.0213872Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:35:58.0214375Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:35:58.0214774Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:35:58.0215049Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:35:58.0215605Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:35:58.0216137Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:35:58.0216305Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:35:58.0216687Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:35:58.0217205Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:35:58.0217546Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:35:58.0218060Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:35:58.0218545Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:35:58.0218920Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:35:58.0219395Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:35:58.0219889Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:35:58.0220246Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:35:58.0220799Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:35:58.0221249Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:35:58.0221745Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:35:58.0222126Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:35:58.0222796Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:35:58.0223050Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:35:58.0223671Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:35:58.0224061Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:35:58.0224643Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:35:58.0225039Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:35:58.0225660Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:35:58.0225920Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:35:58.0226470Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:35:58.0226846Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:35:58.0227355Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:35:58.0227766Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:35:58.0228356Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:35:58.0228732Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:35:58.0229304Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:35:58.0229672Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:35:58.0230026Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:35:58.0230321Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:35:58.0230669Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:35:58.0231227Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:35:58.0231745Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:35:58.0232155Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:35:58.0232664Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:35:58.0233259Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:35:58.0233847Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:35:58.0234232Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:35:58.0234844Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:35:58.0235238Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:35:58.0235963Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:35:58.0236367Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:35:58.0236756Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:35:58.0237320Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:35:58.0237845Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:35:58.0238259Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:35:58.0238764Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:35:58.0239141Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:35:58.0239812Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:35:58.0240323Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:35:58.0240845Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:35:58.0241479Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:35:58.0241999Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:35:58.0242451Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:35:58.0243094Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:35:58.0243602Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:35:58.0243989Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:35:58.0244353Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:35:58.0244872Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:35:58.0245295Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:35:58.0245870Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:35:58.0246380Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:35:58.0246794Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:35:58.0247377Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:35:58.0247748Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:35:58.0248290Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:35:58.0248673Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:35:58.0249231Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:35:58.0249558Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:35:58.0654155Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:35:58.0674259Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:58.0676809Z ##[endgroup] 2025-09-07T07:35:58.0677107Z ##[group]Determining the checkout info 2025-09-07T07:35:58.0677833Z ##[endgroup] 2025-09-07T07:35:58.0681370Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:35:58.0713885Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:35:58.0731110Z ##[group]Checking out the ref 2025-09-07T07:35:58.0734144Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:59.0215771Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:35:59.0215976Z 2025-09-07T07:35:59.0216129Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:35:59.0216450Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:35:59.0216808Z state without impacting any branches by switching back to a branch. 2025-09-07T07:35:59.0216996Z 2025-09-07T07:35:59.0217352Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:35:59.0217683Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:35:59.0217858Z 2025-09-07T07:35:59.0217981Z git switch -c 2025-09-07T07:35:59.0218108Z 2025-09-07T07:35:59.0218197Z Or undo this operation with: 2025-09-07T07:35:59.0218315Z 2025-09-07T07:35:59.0218382Z git switch - 2025-09-07T07:35:59.0218481Z 2025-09-07T07:35:59.0218633Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:35:59.0218834Z 2025-09-07T07:35:59.0218955Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:35:59.0258486Z ##[endgroup] 2025-09-07T07:35:59.0258780Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:35:59.0263367Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:35:59.0303947Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:35:59.0325129Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:35:59.0345595Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:35:59.0364230Z ##[endgroup] 2025-09-07T07:35:59.0364495Z ##[group]Fetching submodules 2025-09-07T07:35:59.0366813Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:35:59.0614379Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:35:59.0866777Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:35:59.0868157Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:35:59.0869732Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:35:59.0871248Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:35:59.0873107Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:35:59.0874948Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:35:59.0876433Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:35:59.0878083Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:35:59.0879907Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:35:59.0881848Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:35:59.0883816Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:35:59.0885851Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:35:59.1236879Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:35:59.1237562Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:35:59.1238379Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:35:59.1240642Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:35:59.1243050Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:35:59.1244955Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:35:59.1247324Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:35:59.1249684Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:35:59.1252116Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:35:59.1254478Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:35:59.1257017Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:35:59.1259537Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:35:59.1262093Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:35:59.1264685Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:35:59.1267324Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:35:59.1282191Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:35:59.1286003Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:35:59.1288416Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:35:59.1290942Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:35:59.1293385Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:35:59.1295871Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:35:59.1298353Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:35:59.1300985Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:35:59.1303548Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:35:59.1306211Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:35:59.1330091Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:35:59.3553382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:35:59.3553919Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:35:59.3554369Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:35:59.3554983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:35:59.3555445Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:35:59.3556600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:35:59.5005032Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:35:59.5005834Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:35:59.5006315Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:35:59.5006956Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:35:59.5007468Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:35:59.5008689Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:35:59.5155039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:36:00.3518419Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:36:00.3519300Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:36:00.3520157Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:36:00.3520990Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:36:00.3521889Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:36:00.3522722Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:36:00.3523493Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:36:00.3524307Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:36:00.3525106Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:36:00.3525886Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:36:00.3526848Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:36:00.3527595Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:36:00.3528413Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:36:00.4519511Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:36:08.3849810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:36:08.3850276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:36:08.3850663Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:36:08.3851047Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:36:08.3851452Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:36:08.3851894Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:36:08.3852314Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:36:08.3852726Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:36:08.3853115Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:36:08.3969649Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:36:08.4058418Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:36:08.4133748Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:36:08.4311692Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:36:08.4919841Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:36:08.5320634Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:36:09.0188893Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:36:09.1366491Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:36:09.1373142Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:36:09.1395870Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:36:12.1230058Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:36:12.1400422Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:36:12.3638556Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:36:12.3975532Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:36:12.4740256Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:36:12.5078337Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:36:12.9789523Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:36:13.0858973Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:36:13.0870642Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:36:13.0871956Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:36:13.0873486Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:36:13.0874783Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:36:13.0876226Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:36:13.0877587Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:36:13.0878934Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:36:13.0900316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:36:14.0990152Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:36:14.0990884Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:36:14.0991466Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:36:14.0992042Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:36:14.1988409Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:36:14.8030091Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:36:18.4139086Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:36:18.5945702Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:36:18.6733976Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:36:19.1479405Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:36:19.1840909Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:36:19.1923660Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:36:19.2713018Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:36:19.3229042Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:36:19.3239017Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:36:19.3240133Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:36:19.3261476Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:36:22.1114618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:36:22.2780324Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:36:22.7132987Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:36:22.8099183Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:36:22.8350198Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:36:22.8646995Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:36:22.8822470Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:36:22.9169917Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:36:22.9265434Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:36:22.9276563Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:36:22.9296509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:36:34.0223134Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:36:34.0371953Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:36:34.1142394Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:36:34.1153367Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:36:34.1154431Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:36:34.1155788Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:36:34.1177776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:36:34.6882704Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:36:34.9332504Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:36:34.9957854Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:36:34.9966792Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:36:34.9968005Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:36:34.9969329Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:36:34.9970789Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:36:34.9972170Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:36:34.9973700Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:36:34.9975173Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:36:34.9976727Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:36:34.9999382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:36:36.1529564Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:36:36.1530641Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:36:36.1531260Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:36:36.1531856Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:36:36.1532471Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:36:36.1533109Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:36:36.2529486Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:36:40.3385083Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:36:40.3516247Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:36:40.3793423Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:36:40.3895501Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:36:40.3906704Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:36:40.3928370Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:36:40.6751883Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:36:40.6895183Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:36:40.7214353Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:36:40.7989436Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:36:40.8117489Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:36:40.8380429Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:36:40.8837029Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:36:40.9163931Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:36:40.9452999Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:36:41.0380162Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:36:41.3012690Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:36:41.3035054Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:36:41.3056001Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:36:42.1051320Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:36:42.1578523Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:36:42.1594890Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:36:42.1595647Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:36:42.1596325Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:36:42.1596980Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:36:42.1597783Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:36:42.1599256Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:36:42.1600684Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:36:42.1602120Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:36:42.1622326Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:36:42.7095231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:36:42.7095995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:36:42.7096955Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:36:42.7097621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:36:42.8097001Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:36:43.2645754Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:36:48.2988796Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:36:48.3131928Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:36:48.3447907Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:36:48.3579597Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:36:48.4395571Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:36:48.4494001Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:36:48.4604525Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:36:48.4719158Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:36:48.4730343Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:36:48.4731519Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:36:48.4752124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:36:49.8501222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:36:50.0466880Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:36:50.0814168Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:36:50.3716444Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:36:50.3806097Z Submodule path 'third_party/pocketfft': 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2025-09-07T07:36:54.2637152Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:36:54.2886299Z Entering 'android/libs/fbjni' 2025-09-07T07:36:54.2924270Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:36:54.2936934Z Entering 'third_party/FP16' 2025-09-07T07:36:54.2975739Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:36:54.2990438Z Entering 'third_party/FXdiv' 2025-09-07T07:36:54.3030365Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:36:54.3044358Z Entering 'third_party/NNPACK' 2025-09-07T07:36:54.3084781Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:36:54.5431102Z Entering 'third_party/kleidiai' 2025-09-07T07:36:54.5471436Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:36:54.5485063Z Entering 'third_party/mimalloc' 2025-09-07T07:36:54.5523680Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:36:54.5537516Z Entering 'third_party/nlohmann' 2025-09-07T07:36:54.5575063Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:36:54.5589459Z Entering 'third_party/onnx' 2025-09-07T07:36:54.5630647Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:36:54.5654648Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:36:54.5693918Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:36:54.5707579Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:36:54.5745271Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:36:54.5757444Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:36:54.5799362Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:36:54.5811772Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:36:54.5850988Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:36:54.5863595Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:36:54.5904430Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:36:54.5915342Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:36:54.5955713Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:36:54.5968855Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:36:54.6009012Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:36:54.6019572Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:36:54.6058073Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:36:54.6228401Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:36:54.6267724Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:36:54.6295120Z Entering 'third_party/pocketfft' 2025-09-07T07:36:54.6336892Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:36:54.6348712Z Entering 'third_party/protobuf' 2025-09-07T07:36:54.6388880Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:36:54.6403086Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:36:54.6440310Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:36:54.6452895Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:36:54.6493188Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:36:54.6506648Z Entering 'third_party/psimd' 2025-09-07T07:36:54.6548709Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:36:54.6560967Z Entering 'third_party/pthreadpool' 2025-09-07T07:36:54.6602875Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:36:54.6614747Z Entering 'third_party/pybind11' 2025-09-07T07:36:54.6654256Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:36:54.6667087Z Entering 'third_party/python-peachpy' 2025-09-07T07:36:54.6706755Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:36:54.6720094Z Entering 'third_party/sleef' 2025-09-07T07:36:54.6760192Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:36:54.6774211Z Entering 'third_party/tensorpipe' 2025-09-07T07:36:54.6816698Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:36:54.6829271Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:36:54.6868317Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:36:54.6880878Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:36:54.6919579Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:36:54.6929616Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:36:54.6965895Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:36:54.6978935Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:36:54.7018603Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:36:54.7030930Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:36:54.7069926Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:36:54.8076396Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:36:54.8328853Z Entering 'android/libs/fbjni' 2025-09-07T07:36:54.8358132Z Entering 'third_party/FP16' 2025-09-07T07:36:54.8388821Z Entering 'third_party/FXdiv' 2025-09-07T07:36:54.8418739Z Entering 'third_party/NNPACK' 2025-09-07T07:36:54.8450201Z Entering 'third_party/NVTX' 2025-09-07T07:36:54.8484814Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:36:54.8520507Z Entering 'third_party/XNNPACK' 2025-09-07T07:36:54.8565732Z Entering 'third_party/aiter' 2025-09-07T07:36:54.8598612Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:36:54.8637802Z Entering 'third_party/benchmark' 2025-09-07T07:36:54.8672871Z Entering 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2025-09-07T07:36:55.0816257Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:36:55.0847371Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:36:55.0880743Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:36:55.0914139Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:36:55.0946700Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:36:55.0995873Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:36:55.1242864Z Entering 'android/libs/fbjni' 2025-09-07T07:36:55.1274092Z Entering 'third_party/FP16' 2025-09-07T07:36:55.1306494Z Entering 'third_party/FXdiv' 2025-09-07T07:36:55.1341037Z Entering 'third_party/NNPACK' 2025-09-07T07:36:55.1375491Z Entering 'third_party/NVTX' 2025-09-07T07:36:55.1409841Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:36:55.1441110Z Entering 'third_party/XNNPACK' 2025-09-07T07:36:55.1482213Z Entering 'third_party/aiter' 2025-09-07T07:36:55.1513402Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:36:55.1549229Z Entering 'third_party/benchmark' 2025-09-07T07:36:55.1583741Z Entering 'third_party/composable_kernel' 2025-09-07T07:36:55.1622790Z Entering 'third_party/cpp-httplib' 2025-09-07T07:36:55.1654961Z Entering 'third_party/cpuinfo' 2025-09-07T07:36:55.1689808Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:36:55.1721179Z Entering 'third_party/cutlass' 2025-09-07T07:36:55.1760842Z Entering 'third_party/fbgemm' 2025-09-07T07:36:55.1794273Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:36:55.1824634Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:36:55.1860789Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:36:55.1892495Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:36:55.1930332Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:36:55.1964036Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:36:55.1996222Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:36:55.2030319Z Entering 'third_party/flash-attention' 2025-09-07T07:36:55.2062995Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:36:55.2097331Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:36:55.2132760Z Entering 'third_party/flatbuffers' 2025-09-07T07:36:55.2164713Z Entering 'third_party/fmt' 2025-09-07T07:36:55.2197283Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:36:55.2230075Z Entering 'third_party/gloo' 2025-09-07T07:36:55.2264332Z Entering 'third_party/googletest' 2025-09-07T07:36:55.2295586Z Entering 'third_party/ideep' 2025-09-07T07:36:55.2328645Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:36:55.2366171Z Entering 'third_party/ittapi' 2025-09-07T07:36:55.2400007Z Entering 'third_party/kineto' 2025-09-07T07:36:55.2430843Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:36:55.3163087Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:36:55.3197344Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:36:55.3229350Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:36:55.3261861Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:36:55.3297086Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:36:55.3331428Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:36:55.3376723Z Entering 'third_party/pocketfft' 2025-09-07T07:36:55.3408491Z Entering 'third_party/protobuf' 2025-09-07T07:36:55.3442354Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:36:55.3475399Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:36:55.3508464Z Entering 'third_party/psimd' 2025-09-07T07:36:55.3541596Z Entering 'third_party/pthreadpool' 2025-09-07T07:36:55.3574585Z Entering 'third_party/pybind11' 2025-09-07T07:36:55.3606983Z Entering 'third_party/python-peachpy' 2025-09-07T07:36:55.3639523Z Entering 'third_party/sleef' 2025-09-07T07:36:55.3671607Z Entering 'third_party/tensorpipe' 2025-09-07T07:36:55.3705748Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:36:55.3739712Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:36:55.3772446Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:36:55.3806876Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:36:55.3836136Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:36:55.3880132Z ##[endgroup] 2025-09-07T07:36:55.3908110Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:36:55.3924977Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:36:55.4004629Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:36:55.4004891Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:36:55.4005114Z # Clean stale submodule dirs 2025-09-07T07:36:55.4005338Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:36:55.4005587Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:36:55.4005854Z else 2025-09-07T07:36:55.4006071Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:36:55.4006310Z fi 2025-09-07T07:36:55.4011996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:55.4012242Z env: 2025-09-07T07:36:55.4012412Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:55.4012605Z NO_SUDO: true 2025-09-07T07:36:55.4012770Z ##[endgroup] 2025-09-07T07:36:55.4276274Z Entering 'android/libs/fbjni' 2025-09-07T07:36:55.4299536Z Entering 'third_party/FP16' 2025-09-07T07:36:55.4326311Z Entering 'third_party/FXdiv' 2025-09-07T07:36:55.4352900Z Entering 'third_party/NNPACK' 2025-09-07T07:36:55.4382207Z Entering 'third_party/NVTX' 2025-09-07T07:36:55.4410963Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:36:55.4437734Z Entering 'third_party/XNNPACK' 2025-09-07T07:36:55.4526146Z Entering 'third_party/aiter' 2025-09-07T07:36:55.4555592Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:36:55.4633295Z Entering 'third_party/benchmark' 2025-09-07T07:36:55.4658241Z Entering 'third_party/composable_kernel' 2025-09-07T07:36:55.4740048Z Entering 'third_party/cpp-httplib' 2025-09-07T07:36:55.4764439Z Entering 'third_party/cpuinfo' 2025-09-07T07:36:55.4792886Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:36:55.4820969Z Entering 'third_party/cutlass' 2025-09-07T07:36:55.4893979Z Entering 'third_party/fbgemm' 2025-09-07T07:36:55.4935834Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:36:55.4960070Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:36:55.5037285Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:36:55.5065072Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:36:55.5134337Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:36:55.5156188Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:36:55.5179117Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:36:55.5211976Z Entering 'third_party/flash-attention' 2025-09-07T07:36:55.5242653Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:36:55.5310645Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:36:55.5372547Z Entering 'third_party/flatbuffers' 2025-09-07T07:36:55.5423472Z Entering 'third_party/fmt' 2025-09-07T07:36:55.5448419Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:36:55.5475948Z Entering 'third_party/gloo' 2025-09-07T07:36:55.5502243Z Entering 'third_party/googletest' 2025-09-07T07:36:55.5526817Z Entering 'third_party/ideep' 2025-09-07T07:36:55.5550178Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:36:55.5617029Z Entering 'third_party/ittapi' 2025-09-07T07:36:55.5643729Z Entering 'third_party/kineto' 2025-09-07T07:36:55.5672048Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:36:55.5698504Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:36:55.5731901Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:36:55.5756352Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:36:55.5782842Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:36:55.5808538Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:36:55.5831996Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:36:55.5853416Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:36:55.5880136Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:36:55.5910911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:36:55.5935485Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:36:55.5958926Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:36:55.5987153Z Entering 'third_party/kleidiai' 2025-09-07T07:36:55.6017317Z Entering 'third_party/mimalloc' 2025-09-07T07:36:55.6045663Z Entering 'third_party/nlohmann' 2025-09-07T07:36:55.6080596Z Entering 'third_party/onnx' 2025-09-07T07:36:55.6295615Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:36:55.6322874Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:36:55.6360454Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:36:55.6384078Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:36:55.6409948Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:36:55.6433344Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:36:55.6465318Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:36:55.6489351Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:36:55.6511557Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:36:55.6534926Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:36:55.6566970Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:36:55.6594587Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:36:55.6761924Z Entering 'third_party/pocketfft' 2025-09-07T07:36:55.6788231Z Entering 'third_party/protobuf' 2025-09-07T07:36:55.6843894Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:36:55.6867178Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:36:55.6894000Z Entering 'third_party/psimd' 2025-09-07T07:36:55.6916950Z Entering 'third_party/pthreadpool' 2025-09-07T07:36:55.6941836Z Entering 'third_party/pybind11' 2025-09-07T07:36:55.6970001Z Entering 'third_party/python-peachpy' 2025-09-07T07:36:55.6996912Z Entering 'third_party/sleef' 2025-09-07T07:36:55.7021146Z Entering 'third_party/tensorpipe' 2025-09-07T07:36:55.7048582Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:36:55.7072149Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:36:55.7096679Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:36:55.7124632Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:36:55.7148518Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:36:55.7267777Z Prepare all required actions 2025-09-07T07:36:55.7268261Z Getting action download info 2025-09-07T07:36:55.8427107Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:36:55.8427325Z env: 2025-09-07T07:36:55.8427484Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:55.8427657Z ##[endgroup] 2025-09-07T07:36:55.8454225Z ##[group]Run set -euo pipefail 2025-09-07T07:36:55.8454482Z set -euo pipefail 2025-09-07T07:36:55.8454686Z function get_ec2_metadata() { 2025-09-07T07:36:55.8454933Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:36:55.8455325Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:36:55.8455787Z  category=$1 2025-09-07T07:36:55.8456025Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:36:55.8456294Z  runner_name_str=i-0ddf92ca892c450b3 2025-09-07T07:36:55.8456566Z  if [[ -f /.inarc ]]; then 2025-09-07T07:36:55.8456802Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:36:55.8457044Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:36:55.8457333Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:36:55.8457586Z  else 2025-09-07T07:36:55.8458082Z  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}" 2025-09-07T07:36:55.8458578Z  fi 2025-09-07T07:36:55.8458727Z } 2025-09-07T07:36:55.8458918Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:36:55.8459183Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:36:55.8459468Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:36:55.8459713Z echo "system info $(uname -a)" 2025-09-07T07:36:55.8464743Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:55.8464984Z env: 2025-09-07T07:36:55.8465149Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:55.8465320Z ##[endgroup] 2025-09-07T07:36:55.8581206Z ami-id: ami-05ffe3c48a9991133 2025-09-07T07:36:55.8659237Z instance-id: i-0ddf92ca892c450b3 2025-09-07T07:36:55.8736005Z instance-type: c7i.metal-24xl 2025-09-07T07:36:55.8744499Z system info Linux ip-10-0-64-133.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:36:55.8759562Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:36:55.8760170Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:36:55.8764850Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:55.8765142Z env: 2025-09-07T07:36:55.8765325Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:55.8765531Z ##[endgroup] 2025-09-07T07:36:55.8830485Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:36:55.8830773Z if systemctl is-active --quiet docker; then 2025-09-07T07:36:55.8831013Z  echo "Docker daemon is running..."; 2025-09-07T07:36:55.8831224Z else 2025-09-07T07:36:55.8831459Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:36:55.8831720Z fi 2025-09-07T07:36:55.8835488Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:55.8835734Z env: 2025-09-07T07:36:55.8835891Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:55.8836066Z ##[endgroup] 2025-09-07T07:36:55.8895832Z Docker daemon is running... 2025-09-07T07:36:55.8921325Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:36:55.8921550Z with: 2025-09-07T07:36:55.8921721Z shell: bash 2025-09-07T07:36:55.8924095Z timeout_minutes: 5 2025-09-07T07:36:55.8924300Z max_attempts: 3 2025-09-07T07:36:55.8924478Z retry_wait_seconds: 30 2025-09-07T07:36:55.8925872Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:36:55.8927315Z polling_interval_seconds: 1 2025-09-07T07:36:55.8927527Z warning_on_retry: true 2025-09-07T07:36:55.8927733Z continue_on_error: false 2025-09-07T07:36:55.8927931Z env: 2025-09-07T07:36:55.8928098Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:55.8928302Z AWS_RETRY_MODE: standard 2025-09-07T07:36:55.8928497Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:36:55.8928696Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:36:55.8928894Z ##[endgroup] 2025-09-07T07:36:56.8076160Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:36:56.8076557Z Configure a credential helper to remove this warning. See 2025-09-07T07:36:56.8076918Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:36:56.8077151Z 2025-09-07T07:36:56.8077238Z Login Succeeded 2025-09-07T07:36:57.0671335Z Command completed after 1 attempt(s). 2025-09-07T07:36:57.0712396Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:36:57.0712727Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:36:57.0713013Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:36:57.0718475Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:57.0718702Z env: 2025-09-07T07:36:57.0718858Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:57.0719037Z ##[endgroup] 2025-09-07T07:36:57.0772515Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:36:57.0772879Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:36:57.0773155Z # shellcheck disable=SC2046 2025-09-07T07:36:57.0773403Z docker stop $(docker ps -q) || true 2025-09-07T07:36:57.0773624Z # Prune all of the docker images 2025-09-07T07:36:57.0773844Z docker system prune -af 2025-09-07T07:36:57.0778197Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:57.0778455Z env: 2025-09-07T07:36:57.0778608Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:57.0778795Z ##[endgroup] 2025-09-07T07:36:57.1208193Z "docker stop" requires at least 1 argument. 2025-09-07T07:36:57.1208572Z See 'docker stop --help'. 2025-09-07T07:36:57.1208746Z 2025-09-07T07:36:57.1208890Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:36:57.1209057Z 2025-09-07T07:36:57.1209160Z Stop one or more running containers 2025-09-07T07:36:57.1425687Z Total reclaimed space: 0B 2025-09-07T07:36:57.1447770Z ##[group]Run set +e 2025-09-07T07:36:57.1447974Z set +e 2025-09-07T07:36:57.1448144Z set -x 2025-09-07T07:36:57.1448306Z  2025-09-07T07:36:57.1448482Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:36:57.1448828Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:36:57.1449263Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:36:57.1449586Z # one is returned at random 2025-09-07T07:36:57.1449845Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:36:57.1450077Z  2025-09-07T07:36:57.1450330Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:36:57.1450602Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:36:57.1450915Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:36:57.1451150Z  2025-09-07T07:36:57.1451311Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:36:57.1451553Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:36:57.1451777Z  exit 1 2025-09-07T07:36:57.1451940Z  fi 2025-09-07T07:36:57.1452085Z fi 2025-09-07T07:36:57.1452237Z  2025-09-07T07:36:57.1452413Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:36:57.1452737Z  # Clean up any old records first 2025-09-07T07:36:57.1452961Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:36:57.1453168Z fi 2025-09-07T07:36:57.1453315Z  2025-09-07T07:36:57.1453521Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:36:57.1453758Z cat /etc/hosts 2025-09-07T07:36:57.1457807Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:57.1458042Z env: 2025-09-07T07:36:57.1458200Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:57.1458373Z ##[endgroup] 2025-09-07T07:36:57.1475599Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:36:57.1482690Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:36:57.1483829Z ++ tail -n1 2025-09-07T07:36:57.1906726Z + RESOLVED_IP=18.160.10.76 2025-09-07T07:36:57.1907092Z + '[' -z 18.160.10.76 ']' 2025-09-07T07:36:57.1907377Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:36:57.1918860Z + echo '18.160.10.76 download.pytorch.org' 2025-09-07T07:36:57.1919379Z + sudo tee -a /etc/hosts 2025-09-07T07:36:57.5079356Z 18.160.10.76 download.pytorch.org 2025-09-07T07:36:57.5088802Z + cat /etc/hosts 2025-09-07T07:36:57.5096474Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:36:57.5100059Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:36:57.5100319Z 18.160.10.76 download.pytorch.org 2025-09-07T07:36:57.5196319Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:36:57.5196604Z with: 2025-09-07T07:36:57.5197100Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:57.5197632Z use-custom-docker-registry: true 2025-09-07T07:36:57.5197829Z docker-build-dir: .ci/docker 2025-09-07T07:36:57.5198029Z docker-build-script: ./build.sh 2025-09-07T07:36:57.5198228Z working-directory: . 2025-09-07T07:36:57.5198467Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:57.5198704Z force-push: false 2025-09-07T07:36:57.5198861Z env: 2025-09-07T07:36:57.5199012Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:57.5199183Z ##[endgroup] 2025-09-07T07:36:57.5210885Z ##[group]Run set -ex 2025-09-07T07:36:57.5211097Z set -ex 2025-09-07T07:36:57.5211248Z  2025-09-07T07:36:57.5211526Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:36:57.5211902Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:36:57.5212221Z # job could then download the pre-built image as usual 2025-09-07T07:36:57.5212614Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:36:57.5212976Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5213191Z else 2025-09-07T07:36:57.5213367Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5213631Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5213873Z  2025-09-07T07:36:57.5214197Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:36:57.5214548Z  exit 0 2025-09-07T07:36:57.5214690Z fi 2025-09-07T07:36:57.5214834Z  2025-09-07T07:36:57.5215049Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:36:57.5215387Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:36:57.5215694Z  # use it as it is, but first let's extract the tag 2025-09-07T07:36:57.5215973Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:36:57.5216353Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5216641Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5216882Z else 2025-09-07T07:36:57.5217068Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:36:57.5217300Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:36:57.5217554Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:36:57.5217770Z  fi 2025-09-07T07:36:57.5218047Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:36:57.5218394Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5218760Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5219157Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5219421Z fi 2025-09-07T07:36:57.5224500Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:57.5224736Z env: 2025-09-07T07:36:57.5224896Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:57.5225081Z REPO_NAME: pytorch 2025-09-07T07:36:57.5225679Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:57.5226205Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:36:57.5226395Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:36:57.5226639Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:57.5226890Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:36:57.5227098Z CUSTOM_TAG_PREFIX: 2025-09-07T07:36:57.5227270Z ##[endgroup] 2025-09-07T07:36:57.5243514Z + [[ -d .ci/docker ]] 2025-09-07T07:36:57.5243711Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:36:57.5243906Z + [[ true == \t\r\u\e ]] 2025-09-07T07:36:57.5244089Z + echo skip=false 2025-09-07T07:36:57.5244758Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\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* ]] 2025-09-07T07:36:57.5250365Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:57.5250868Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:36:57.5267778Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:57.5268355Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:57.5269161Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:57.5283884Z ##[group]Run set +e 2025-09-07T07:36:57.5284106Z set +e 2025-09-07T07:36:57.5284282Z set -x 2025-09-07T07:36:57.5284437Z  2025-09-07T07:36:57.5284580Z login() { 2025-09-07T07:36:57.5284877Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:36:57.5285199Z } 2025-09-07T07:36:57.5285349Z  2025-09-07T07:36:57.5285487Z retry () { 2025-09-07T07:36:57.5285674Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:36:57.5285873Z } 2025-09-07T07:36:57.5286020Z  2025-09-07T07:36:57.5286176Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:36:57.5286375Z  2025-09-07T07:36:57.5286531Z START_TIME=$(date +%s) 2025-09-07T07:36:57.5286733Z # Wait up to 120 minutes 2025-09-07T07:36:57.5286967Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:36:57.5287336Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:36:57.5287634Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:36:57.5287861Z  exit 0 2025-09-07T07:36:57.5288027Z  fi 2025-09-07T07:36:57.5288175Z  2025-09-07T07:36:57.5288427Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:36:57.5288812Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:36:57.5289193Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:36:57.5289503Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:36:57.5289743Z  # It's a Docker build job, let's build the image 2025-09-07T07:36:57.5289957Z  break 2025-09-07T07:36:57.5290117Z  else 2025-09-07T07:36:57.5290339Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:36:57.5290579Z  sleep 300 2025-09-07T07:36:57.5290747Z  fi 2025-09-07T07:36:57.5290897Z done 2025-09-07T07:36:57.5291042Z  2025-09-07T07:36:57.5291256Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:36:57.5291643Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:36:57.5291951Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:36:57.5292228Z  # if we're on the base branch then use the parent commit 2025-09-07T07:36:57.5292477Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:36:57.5292671Z else 2025-09-07T07:36:57.5292880Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:36:57.5293168Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:36:57.5293397Z fi 2025-09-07T07:36:57.5293534Z  2025-09-07T07:36:57.5293698Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:36:57.5293936Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5294147Z  2025-09-07T07:36:57.5294422Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:36:57.5294739Z  exit 0 2025-09-07T07:36:57.5294890Z fi 2025-09-07T07:36:57.5295032Z  2025-09-07T07:36:57.5295236Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:36:57.5295618Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:36:57.5295954Z  exit 1 2025-09-07T07:36:57.5296105Z fi 2025-09-07T07:36:57.5296249Z  2025-09-07T07:36:57.5296469Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:36:57.5296859Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:36:57.5297190Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:36:57.5297570Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:36:57.5297993Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:36:57.5298247Z fi 2025-09-07T07:36:57.5298389Z  2025-09-07T07:36:57.5298566Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:36:57.5301989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:57.5302220Z env: 2025-09-07T07:36:57.5302366Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:57.5302547Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:36:57.5302775Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:36:57.5303362Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:57.5304031Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:57.5304458Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:57.5304694Z DOCKER_PUSH: 2025-09-07T07:36:57.5304854Z ##[endgroup] 2025-09-07T07:36:57.5320584Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:57.5320871Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:57.5322635Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:36:57.5323724Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:57.9046623Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:36:57.9047267Z Configure a credential helper to remove this warning. See 2025-09-07T07:36:57.9047672Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:36:57.9048011Z Login Succeeded 2025-09-07T07:36:57.9048147Z 2025-09-07T07:36:57.9061377Z ++ date +%s 2025-09-07T07:36:57.9068849Z + START_TIME=1757230617 2025-09-07T07:36:57.9072432Z ++ date +%s 2025-09-07T07:36:57.9080240Z + [[ 1757223417 -lt 1757230617 ]] 2025-09-07T07:36:57.9081182Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:58.1057396Z { 2025-09-07T07:36:58.1057585Z "schemaVersion": 2, 2025-09-07T07:36:58.1057873Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:36:58.1058143Z "config": { 2025-09-07T07:36:58.1058366Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:36:58.1058636Z "size": 30269, 2025-09-07T07:36:58.1058898Z "digest": "sha256:662d8c9dfc7db2f5d004293de4f2b7647941dee4c916479ef082d17fcdfd9c47" 2025-09-07T07:36:58.1059174Z }, 2025-09-07T07:36:58.1059315Z "layers": [ 2025-09-07T07:36:58.1059456Z { 2025-09-07T07:36:58.1059668Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1059911Z "size": 30448359, 2025-09-07T07:36:58.1060187Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:36:58.1060472Z }, 2025-09-07T07:36:58.1060606Z { 2025-09-07T07:36:58.1060812Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1061074Z "size": 1554, 2025-09-07T07:36:58.1061370Z "digest": "sha256:18a5ee5b0e2e283bf6d7b9c4c312b0448c75eff1c43446c22c5139a3aeec97fe" 2025-09-07T07:36:58.1061644Z }, 2025-09-07T07:36:58.1061767Z { 2025-09-07T07:36:58.1061971Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1062233Z "size": 313297813, 2025-09-07T07:36:58.1062500Z "digest": 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"sha256:7ddca6c4c050460204097ba875dc0fa03eca6265122a18c0b8dc5504152aea53" 2025-09-07T07:36:58.1118908Z }, 2025-09-07T07:36:58.1119045Z { 2025-09-07T07:36:58.1119246Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1119494Z "size": 1012, 2025-09-07T07:36:58.1119763Z "digest": "sha256:a95e1f2f1aadef03514a7cdbdac1fe83d4eebedbb80df9be868a223f27e1c263" 2025-09-07T07:36:58.1120055Z }, 2025-09-07T07:36:58.1120183Z { 2025-09-07T07:36:58.1120393Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1120645Z "size": 724, 2025-09-07T07:36:58.1120897Z "digest": "sha256:da63046995a2e510b7146776371a14bff4b31002cc3ef0322e45a3932fba2031" 2025-09-07T07:36:58.1121163Z }, 2025-09-07T07:36:58.1121299Z { 2025-09-07T07:36:58.1121503Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1121750Z "size": 135, 2025-09-07T07:36:58.1121995Z "digest": "sha256:8085756b0cc0f9588f23a73c27840a5dff48cc18c3a2f0311e4d1ef291855679" 2025-09-07T07:36:58.1122271Z }, 2025-09-07T07:36:58.1122407Z { 2025-09-07T07:36:58.1122616Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1122855Z "size": 32, 2025-09-07T07:36:58.1123108Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:36:58.1123386Z }, 2025-09-07T07:36:58.1123521Z { 2025-09-07T07:36:58.1123720Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1123969Z "size": 158, 2025-09-07T07:36:58.1124218Z "digest": "sha256:7e9ff0c6f103b18756f01c60b4d57a951660f17bffb1810b330e3ff703caf216" 2025-09-07T07:36:58.1124528Z }, 2025-09-07T07:36:58.1124654Z { 2025-09-07T07:36:58.1124859Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1125103Z "size": 1369, 2025-09-07T07:36:58.1125360Z "digest": "sha256:a625cbbc05b983aeb4c28702a4a5b65c68191ab1b8d17978f7d98cc17ddf3c52" 2025-09-07T07:36:58.1125632Z }, 2025-09-07T07:36:58.1125766Z { 2025-09-07T07:36:58.1125973Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1126219Z "size": 32, 2025-09-07T07:36:58.1126465Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:36:58.1126750Z }, 2025-09-07T07:36:58.1126885Z { 2025-09-07T07:36:58.1127091Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1127327Z "size": 136, 2025-09-07T07:36:58.1127572Z "digest": "sha256:4e28486424310870c8d6815524440f17c6e0afe7572eaa173a811b98b4920bed" 2025-09-07T07:36:58.1127848Z }, 2025-09-07T07:36:58.1127983Z { 2025-09-07T07:36:58.1128184Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1128434Z "size": 380, 2025-09-07T07:36:58.1128690Z "digest": "sha256:5e944f1ed1bef9442f5b1b86225d3958ea8f2f7f4c6aa7b92dc5d0c810c260bc" 2025-09-07T07:36:58.1128970Z }, 2025-09-07T07:36:58.1129098Z { 2025-09-07T07:36:58.1129347Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1129600Z "size": 32, 2025-09-07T07:36:58.1129862Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:36:58.1130138Z }, 2025-09-07T07:36:58.1130277Z { 2025-09-07T07:36:58.1130491Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1130745Z "size": 104, 2025-09-07T07:36:58.1130994Z "digest": "sha256:41619248f604c60e038a02bfd462af96ee2996b77be5f59f05e9ac5fe4790e5a" 2025-09-07T07:36:58.1131280Z }, 2025-09-07T07:36:58.1131419Z { 2025-09-07T07:36:58.1131632Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1131880Z "size": 407, 2025-09-07T07:36:58.1132146Z "digest": "sha256:be86f8c4f654b9ae64a20eb7f960e6ce4baa5b46e0a1f5e1312b11492a40bcd4" 2025-09-07T07:36:58.1132438Z }, 2025-09-07T07:36:58.1132578Z { 2025-09-07T07:36:58.1132786Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1133041Z "size": 32, 2025-09-07T07:36:58.1133303Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:36:58.1133590Z }, 2025-09-07T07:36:58.1133722Z { 2025-09-07T07:36:58.1133938Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1134191Z "size": 109, 2025-09-07T07:36:58.1134454Z "digest": "sha256:ef1340e22a4bc8cf42e1d40961cb32d183cd3da8f0b785b5425c32ee067690c1" 2025-09-07T07:36:58.1134732Z }, 2025-09-07T07:36:58.1134871Z { 2025-09-07T07:36:58.1135084Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1135337Z "size": 1897, 2025-09-07T07:36:58.1135591Z "digest": "sha256:da8d8b696333cbf6b9f339ab859639c905d6752d7e65fea14c23c3c2dcba553e" 2025-09-07T07:36:58.1135882Z }, 2025-09-07T07:36:58.1136018Z { 2025-09-07T07:36:58.1136229Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1136482Z "size": 243443118, 2025-09-07T07:36:58.1136750Z "digest": "sha256:386b0c49c4982a821fb6f427fbc7d9c7d2012e97c96a514a9c7a09304e76b935" 2025-09-07T07:36:58.1137031Z }, 2025-09-07T07:36:58.1137175Z { 2025-09-07T07:36:58.1137383Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1137641Z "size": 106, 2025-09-07T07:36:58.1137914Z "digest": "sha256:2b1d0ea7efe0bf86e86df804d2cddbf83b113fdecd03f3ddfca728da30546f34" 2025-09-07T07:36:58.1138210Z }, 2025-09-07T07:36:58.1138346Z { 2025-09-07T07:36:58.1138565Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1138850Z "size": 163, 2025-09-07T07:36:58.1139104Z "digest": "sha256:04c04be7408f20625b1bd8454e5a08c91fcf04d4f79ab3ec1b75ae6b1824174d" 2025-09-07T07:36:58.1139378Z }, 2025-09-07T07:36:58.1139506Z { 2025-09-07T07:36:58.1139713Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1139967Z "size": 7943, 2025-09-07T07:36:58.1140233Z "digest": "sha256:f8690caa3ac5e845f2dcc25ad12815b5c7452285c3838a87c780bd03ecf072a3" 2025-09-07T07:36:58.1140505Z }, 2025-09-07T07:36:58.1140641Z { 2025-09-07T07:36:58.1140847Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1141093Z "size": 8074, 2025-09-07T07:36:58.1141344Z "digest": "sha256:2908d6baaa6b21331dee5f210472cae0874d22b98b0a35420cad4fd753ed215f" 2025-09-07T07:36:58.1141620Z }, 2025-09-07T07:36:58.1141758Z { 2025-09-07T07:36:58.1141960Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1142205Z "size": 303, 2025-09-07T07:36:58.1142452Z "digest": "sha256:37e2336101eba2c73995d34431e4fae8782d9e9700c42621777922490b2158ed" 2025-09-07T07:36:58.1142722Z }, 2025-09-07T07:36:58.1142853Z { 2025-09-07T07:36:58.1143051Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1143295Z "size": 32, 2025-09-07T07:36:58.1143586Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:36:58.1143870Z }, 2025-09-07T07:36:58.1144003Z { 2025-09-07T07:36:58.1144218Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1144471Z "size": 108, 2025-09-07T07:36:58.1144720Z "digest": "sha256:f1ac881fde33994861be4324231269058643168b9aee60c699552d0d92d965da" 2025-09-07T07:36:58.1144987Z }, 2025-09-07T07:36:58.1145123Z { 2025-09-07T07:36:58.1145335Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1145588Z "size": 54145699, 2025-09-07T07:36:58.1145852Z "digest": "sha256:43b14c67347e2813c5f63e928c14db60dbb35c330ccc865510cf79739d8b78a1" 2025-09-07T07:36:58.1146126Z }, 2025-09-07T07:36:58.1146265Z { 2025-09-07T07:36:58.1146478Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:36:58.1146725Z "size": 32, 2025-09-07T07:36:58.1146989Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:36:58.1147275Z } 2025-09-07T07:36:58.1147413Z ] 2025-09-07T07:36:58.1147546Z } 2025-09-07T07:36:58.1147699Z + exit 0 2025-09-07T07:36:58.1165056Z ##[group]Run set -eux 2025-09-07T07:36:58.1165258Z set -eux 2025-09-07T07:36:58.1165532Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:36:58.1166184Z 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 || true 2025-09-07T07:36:58.1170861Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:58.1171094Z env: 2025-09-07T07:36:58.1171252Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:58.1171438Z ##[endgroup] 2025-09-07T07:36:58.1193797Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:36:58.1194153Z + jq --raw-output .SecretString 2025-09-07T07:36:58.1194379Z + jq -r .docker_hub_readonly_token 2025-09-07T07:36:58.1194641Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:36:58.5243689Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:36:58.5244079Z Configure a credential helper to remove this warning. See 2025-09-07T07:36:58.5244432Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:36:58.5244652Z 2025-09-07T07:36:58.5244796Z Login Succeeded 2025-09-07T07:36:58.5302621Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:36:58.5302971Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:36:58.5303225Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:36:58.5307403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:58.5307638Z env: 2025-09-07T07:36:58.5334178Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:58.5334737Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:58.5335264Z ##[endgroup] 2025-09-07T07:36:58.5358003Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:58.5388620Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:36:58.5388889Z with: 2025-09-07T07:36:58.5389362Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:58.5389931Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:58.5390163Z env: 2025-09-07T07:36:58.5390319Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:58.5390497Z ##[endgroup] 2025-09-07T07:36:58.5422630Z ##[group]Run set -x 2025-09-07T07:36:58.5422817Z set -x 2025-09-07T07:36:58.5422980Z set +e 2025-09-07T07:36:58.5423138Z  2025-09-07T07:36:58.5423285Z login() { 2025-09-07T07:36:58.5423578Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:36:58.5423874Z } 2025-09-07T07:36:58.5424021Z  2025-09-07T07:36:58.5424195Z retry () { 2025-09-07T07:36:58.5424377Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:36:58.5424565Z } 2025-09-07T07:36:58.5424705Z  2025-09-07T07:36:58.5424861Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:36:58.5425064Z  2025-09-07T07:36:58.5425350Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:36:58.5425726Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:36:58.5425953Z  2025-09-07T07:36:58.5426090Z set -e 2025-09-07T07:36:58.5426306Z # ignore output since only exit code is used for conditional 2025-09-07T07:36:58.5426591Z # only pull docker image if it's not available locally 2025-09-07T07:36:58.5426901Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:36:58.5427187Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:36:58.5427382Z fi 2025-09-07T07:36:58.5430932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:36:58.5431164Z env: 2025-09-07T07:36:58.5431308Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:36:58.5431817Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:58.5432384Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:58.5432625Z ##[endgroup] 2025-09-07T07:36:58.5449933Z + set +e 2025-09-07T07:36:58.5450146Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:58.5450417Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:58.5453808Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:36:58.5454157Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:36:58.9014322Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:36:58.9014658Z Login Succeeded 2025-09-07T07:36:58.9015000Z Configure a credential helper to remove this warning. See 2025-09-07T07:36:58.9015354Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:36:58.9015799Z 2025-09-07T07:36:58.9027962Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:36:58.9028597Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:59.1116586Z + IMAGE_SIZE=28579.020259857178 2025-09-07T07:36:59.1117102Z + echo 'Compressed size of image in MB: 28579.020259857178' 2025-09-07T07:36:59.1117380Z Compressed size of image in MB: 28579.020259857178 2025-09-07T07:36:59.1117609Z + set -e 2025-09-07T07:36:59.1118371Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:59.1229020Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:59.1230110Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:36:59.3387098Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:36:59.3387574Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:36:59.3387774Z 18a5ee5b0e2e: Pulling fs layer 2025-09-07T07:36:59.3387963Z 572424b92528: Pulling fs layer 2025-09-07T07:36:59.3388153Z 1c35b7d4b67c: Pulling fs layer 2025-09-07T07:36:59.3388342Z 68c20f3c23bb: Pulling fs layer 2025-09-07T07:36:59.3388520Z 7efa39950d32: Pulling fs layer 2025-09-07T07:36:59.3388720Z a10eb16a7271: Pulling fs layer 2025-09-07T07:36:59.3388903Z 7d52cf579654: Pulling fs layer 2025-09-07T07:36:59.3389091Z cb6a20fcf4e2: Pulling fs layer 2025-09-07T07:36:59.3389270Z 46fb6a8b3e1d: Pulling fs layer 2025-09-07T07:36:59.3389456Z 5ad6977cc38e: Pulling fs layer 2025-09-07T07:36:59.3389692Z da63046995a2: Pulling fs layer 2025-09-07T07:36:59.3389871Z 78243fdb9906: Pulling fs layer 2025-09-07T07:36:59.3390052Z 6f70d5d50aba: Pulling fs layer 2025-09-07T07:36:59.3390236Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:36:59.3390409Z 69715d3ad3c4: Pulling fs layer 2025-09-07T07:36:59.3390590Z 7ace90c063f3: Pulling fs layer 2025-09-07T07:36:59.3390774Z acbd5447dd14: Pulling fs layer 2025-09-07T07:36:59.3390948Z 744523d9b7f5: Pulling fs layer 2025-09-07T07:36:59.3391129Z 5bd615a7b945: Pulling fs layer 2025-09-07T07:36:59.3391314Z f4986a00e3ae: Pulling fs layer 2025-09-07T07:36:59.3391498Z 21902f6e4f8c: Pulling fs layer 2025-09-07T07:36:59.3391669Z 1c35b7d4b67c: Waiting 2025-09-07T07:36:59.3391858Z d80602abf3cc: Pulling fs layer 2025-09-07T07:36:59.3392043Z 68c20f3c23bb: Waiting 2025-09-07T07:36:59.3392214Z 3c51bf0bc362: Pulling fs layer 2025-09-07T07:36:59.3392389Z 119ab3bceafa: Pulling fs layer 2025-09-07T07:36:59.3392569Z 7efa39950d32: Waiting 2025-09-07T07:36:59.3392738Z a10eb16a7271: Waiting 2025-09-07T07:36:59.3392909Z af8eadc9eaab: Pulling fs layer 2025-09-07T07:36:59.3393078Z 7d52cf579654: Waiting 2025-09-07T07:36:59.3393244Z e7769b0d7a82: Pulling fs layer 2025-09-07T07:36:59.3393426Z ba263639b0f4: Pulling fs layer 2025-09-07T07:36:59.3393601Z cb6a20fcf4e2: Waiting 2025-09-07T07:36:59.3393762Z a5ab7a280382: Pulling fs layer 2025-09-07T07:36:59.3393943Z 80b2232d952f: Pulling fs layer 2025-09-07T07:36:59.3394118Z cc93cd65e90f: Pulling fs layer 2025-09-07T07:36:59.3394299Z 0eed4c15712b: Pulling fs layer 2025-09-07T07:36:59.3394472Z 092516f71fe3: Pulling fs layer 2025-09-07T07:36:59.3394649Z 8c0825014a62: Pulling fs layer 2025-09-07T07:36:59.3394823Z 78243fdb9906: Waiting 2025-09-07T07:36:59.3394993Z 8e0d2f63da0a: Pulling fs layer 2025-09-07T07:36:59.3395161Z 6f70d5d50aba: Waiting 2025-09-07T07:36:59.3395324Z 4f4fb700ef54: Waiting 2025-09-07T07:36:59.3395487Z 73aae7958ba1: Pulling fs layer 2025-09-07T07:36:59.3395667Z ac6077ec9fa5: Pulling fs layer 2025-09-07T07:36:59.3396064Z bf4ee4e45e92: Pulling fs layer 2025-09-07T07:36:59.3396246Z c1b766f9b961: Pulling fs layer 2025-09-07T07:36:59.3396431Z 69715d3ad3c4: Waiting 2025-09-07T07:36:59.3396597Z 46fb6a8b3e1d: Waiting 2025-09-07T07:36:59.3396756Z 6e726ef07b5d: Pulling fs layer 2025-09-07T07:36:59.3396934Z 7ace90c063f3: Waiting 2025-09-07T07:36:59.3397095Z 5ad6977cc38e: Waiting 2025-09-07T07:36:59.3397257Z 364070434a64: Pulling fs layer 2025-09-07T07:36:59.3397423Z 80b2232d952f: Waiting 2025-09-07T07:36:59.3397587Z 71f708151a84: Pulling fs layer 2025-09-07T07:36:59.3397763Z 3c51bf0bc362: Waiting 2025-09-07T07:36:59.3397926Z acbd5447dd14: Waiting 2025-09-07T07:36:59.3398084Z af8eadc9eaab: Waiting 2025-09-07T07:36:59.3398252Z 622d8cfb39ea: Pulling fs layer 2025-09-07T07:36:59.3398503Z 0eed4c15712b: Waiting 2025-09-07T07:36:59.3398668Z 119ab3bceafa: Waiting 2025-09-07T07:36:59.3398821Z 092516f71fe3: Waiting 2025-09-07T07:36:59.3398994Z 284119a92cb1: Pulling fs layer 2025-09-07T07:36:59.3399170Z 96695940d842: Pulling fs layer 2025-09-07T07:36:59.3399345Z 744523d9b7f5: Waiting 2025-09-07T07:36:59.3399490Z da63046995a2: Waiting 2025-09-07T07:36:59.3399647Z 5bd615a7b945: Waiting 2025-09-07T07:36:59.3399806Z d80602abf3cc: Waiting 2025-09-07T07:36:59.3399963Z 7ddca6c4c050: Pulling fs layer 2025-09-07T07:36:59.3400146Z a95e1f2f1aad: Pulling fs layer 2025-09-07T07:36:59.3400315Z 8c0825014a62: Waiting 2025-09-07T07:36:59.3400471Z f4986a00e3ae: Waiting 2025-09-07T07:36:59.3400623Z 8085756b0cc0: Pulling fs layer 2025-09-07T07:36:59.3400794Z 21902f6e4f8c: Waiting 2025-09-07T07:36:59.3400949Z 8e0d2f63da0a: Waiting 2025-09-07T07:36:59.3401112Z 7e9ff0c6f103: Pulling fs layer 2025-09-07T07:36:59.3401278Z ac6077ec9fa5: Waiting 2025-09-07T07:36:59.3401435Z bf4ee4e45e92: Waiting 2025-09-07T07:36:59.3401606Z a625cbbc05b9: Pulling fs layer 2025-09-07T07:36:59.3401784Z c1b766f9b961: Waiting 2025-09-07T07:36:59.3401935Z 73aae7958ba1: Waiting 2025-09-07T07:36:59.3402091Z e7769b0d7a82: Waiting 2025-09-07T07:36:59.3402250Z a5ab7a280382: Waiting 2025-09-07T07:36:59.3402416Z 4e2848642431: Pulling fs layer 2025-09-07T07:36:59.3402583Z 6e726ef07b5d: Waiting 2025-09-07T07:36:59.3402750Z 5e944f1ed1be: Pulling fs layer 2025-09-07T07:36:59.3402924Z 7ddca6c4c050: Waiting 2025-09-07T07:36:59.3403086Z 41619248f604: Pulling fs layer 2025-09-07T07:36:59.3403250Z ba263639b0f4: Waiting 2025-09-07T07:36:59.3403411Z a95e1f2f1aad: Waiting 2025-09-07T07:36:59.3403575Z be86f8c4f654: Pulling fs layer 2025-09-07T07:36:59.3403747Z 8085756b0cc0: Waiting 2025-09-07T07:36:59.3403896Z 364070434a64: Waiting 2025-09-07T07:36:59.3404050Z 284119a92cb1: Waiting 2025-09-07T07:36:59.3404205Z 71f708151a84: Waiting 2025-09-07T07:36:59.3404368Z ef1340e22a4b: Pulling fs layer 2025-09-07T07:36:59.3404536Z 622d8cfb39ea: Waiting 2025-09-07T07:36:59.3404702Z da8d8b696333: Pulling fs layer 2025-09-07T07:36:59.3404877Z 5e944f1ed1be: Waiting 2025-09-07T07:36:59.3405033Z 4e2848642431: Waiting 2025-09-07T07:36:59.3405188Z 386b0c49c498: Pulling fs layer 2025-09-07T07:36:59.3405369Z 2b1d0ea7efe0: Pulling fs layer 2025-09-07T07:36:59.3405547Z 7e9ff0c6f103: Waiting 2025-09-07T07:36:59.3405709Z 04c04be7408f: Pulling fs layer 2025-09-07T07:36:59.3405881Z f8690caa3ac5: Pulling fs layer 2025-09-07T07:36:59.3406054Z 96695940d842: Waiting 2025-09-07T07:36:59.3406219Z 2908d6baaa6b: Pulling fs layer 2025-09-07T07:36:59.3406398Z 37e2336101eb: Pulling fs layer 2025-09-07T07:36:59.3406561Z 41619248f604: Waiting 2025-09-07T07:36:59.3406719Z a625cbbc05b9: Waiting 2025-09-07T07:36:59.3406883Z be86f8c4f654: Waiting 2025-09-07T07:36:59.3407036Z cc93cd65e90f: Waiting 2025-09-07T07:36:59.3407204Z f1ac881fde33: Pulling fs layer 2025-09-07T07:36:59.3407396Z da8d8b696333: Waiting 2025-09-07T07:36:59.3407561Z 2908d6baaa6b: Waiting 2025-09-07T07:36:59.3407721Z 43b14c67347e: Pulling fs layer 2025-09-07T07:36:59.3407897Z 386b0c49c498: Waiting 2025-09-07T07:36:59.3408059Z f8690caa3ac5: Waiting 2025-09-07T07:36:59.3408215Z ef1340e22a4b: Waiting 2025-09-07T07:36:59.3408366Z f1ac881fde33: Waiting 2025-09-07T07:36:59.3408526Z 37e2336101eb: Waiting 2025-09-07T07:36:59.3408726Z 43b14c67347e: Waiting 2025-09-07T07:36:59.3408885Z 2b1d0ea7efe0: Waiting 2025-09-07T07:36:59.4226431Z 18a5ee5b0e2e: Verifying Checksum 2025-09-07T07:36:59.4226727Z 18a5ee5b0e2e: Download complete 2025-09-07T07:36:59.5115275Z 1c35b7d4b67c: Verifying Checksum 2025-09-07T07:36:59.5115530Z 1c35b7d4b67c: Download complete 2025-09-07T07:36:59.5924850Z 68c20f3c23bb: Verifying Checksum 2025-09-07T07:36:59.5925154Z 68c20f3c23bb: Download complete 2025-09-07T07:36:59.6741643Z 7efa39950d32: Verifying Checksum 2025-09-07T07:36:59.6741883Z 7efa39950d32: Download complete 2025-09-07T07:36:59.6993905Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:36:59.6994157Z e6fdc8487bfe: Download complete 2025-09-07T07:36:59.7413283Z a10eb16a7271: Verifying Checksum 2025-09-07T07:36:59.7413570Z a10eb16a7271: Download complete 2025-09-07T07:36:59.7862063Z 7d52cf579654: Verifying Checksum 2025-09-07T07:36:59.7862320Z 7d52cf579654: Download complete 2025-09-07T07:36:59.8677571Z 46fb6a8b3e1d: Verifying Checksum 2025-09-07T07:36:59.8677871Z 46fb6a8b3e1d: Download complete 2025-09-07T07:36:59.9330416Z 5ad6977cc38e: Download complete 2025-09-07T07:37:00.0044423Z da63046995a2: Verifying Checksum 2025-09-07T07:37:00.0044686Z da63046995a2: Download complete 2025-09-07T07:37:00.0679729Z 78243fdb9906: Verifying Checksum 2025-09-07T07:37:00.0679993Z 78243fdb9906: Download complete 2025-09-07T07:37:00.3425685Z e6fdc8487bfe: Pull complete 2025-09-07T07:37:00.3633925Z 18a5ee5b0e2e: Pull complete 2025-09-07T07:37:00.8887475Z cb6a20fcf4e2: Verifying Checksum 2025-09-07T07:37:00.8887735Z cb6a20fcf4e2: Download complete 2025-09-07T07:37:00.8979737Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:37:00.8979992Z 4f4fb700ef54: Download complete 2025-09-07T07:37:00.9689514Z 69715d3ad3c4: Verifying Checksum 2025-09-07T07:37:00.9689778Z 69715d3ad3c4: Download complete 2025-09-07T07:37:01.0427283Z 7ace90c063f3: Verifying Checksum 2025-09-07T07:37:01.0427525Z 7ace90c063f3: Download complete 2025-09-07T07:37:01.1074550Z acbd5447dd14: Verifying Checksum 2025-09-07T07:37:01.1074838Z acbd5447dd14: Download complete 2025-09-07T07:37:01.1926832Z 744523d9b7f5: Verifying Checksum 2025-09-07T07:37:01.1927138Z 744523d9b7f5: Download complete 2025-09-07T07:37:01.2973539Z 5bd615a7b945: Download complete 2025-09-07T07:37:01.3847959Z f4986a00e3ae: Verifying Checksum 2025-09-07T07:37:01.3848206Z f4986a00e3ae: Download complete 2025-09-07T07:37:01.4759267Z 21902f6e4f8c: Download complete 2025-09-07T07:37:01.5666342Z d80602abf3cc: Verifying Checksum 2025-09-07T07:37:01.5666549Z d80602abf3cc: Download complete 2025-09-07T07:37:01.6485065Z 3c51bf0bc362: Verifying Checksum 2025-09-07T07:37:01.6485308Z 3c51bf0bc362: Download complete 2025-09-07T07:37:01.7102591Z 119ab3bceafa: Download complete 2025-09-07T07:37:01.7789585Z af8eadc9eaab: Download complete 2025-09-07T07:37:01.8613991Z e7769b0d7a82: Download complete 2025-09-07T07:37:02.5380966Z 572424b92528: Verifying Checksum 2025-09-07T07:37:02.5381227Z 572424b92528: Download complete 2025-09-07T07:37:02.6141673Z a5ab7a280382: Verifying Checksum 2025-09-07T07:37:02.6141947Z a5ab7a280382: Download complete 2025-09-07T07:37:02.6821009Z 80b2232d952f: Verifying Checksum 2025-09-07T07:37:02.6821280Z 80b2232d952f: Download complete 2025-09-07T07:37:02.7622542Z cc93cd65e90f: Verifying Checksum 2025-09-07T07:37:02.7622797Z cc93cd65e90f: Download complete 2025-09-07T07:37:02.8273894Z 0eed4c15712b: Verifying Checksum 2025-09-07T07:37:02.8274143Z 0eed4c15712b: Download complete 2025-09-07T07:37:03.0644284Z 092516f71fe3: Verifying Checksum 2025-09-07T07:37:03.0644533Z 092516f71fe3: Download complete 2025-09-07T07:37:03.1684328Z 8c0825014a62: Verifying Checksum 2025-09-07T07:37:03.1684576Z 8c0825014a62: Download complete 2025-09-07T07:37:03.2209379Z 8e0d2f63da0a: Verifying Checksum 2025-09-07T07:37:03.2209757Z 8e0d2f63da0a: Download complete 2025-09-07T07:37:03.2874996Z 73aae7958ba1: Verifying Checksum 2025-09-07T07:37:03.2875295Z 73aae7958ba1: Download complete 2025-09-07T07:37:03.3805323Z ac6077ec9fa5: Verifying Checksum 2025-09-07T07:37:03.3805857Z ac6077ec9fa5: Download complete 2025-09-07T07:37:03.4714324Z bf4ee4e45e92: Download complete 2025-09-07T07:37:06.4598276Z ba263639b0f4: Verifying Checksum 2025-09-07T07:37:06.4601271Z ba263639b0f4: Download complete 2025-09-07T07:37:06.5711761Z 6e726ef07b5d: Verifying Checksum 2025-09-07T07:37:06.5711995Z 6e726ef07b5d: Download complete 2025-09-07T07:37:08.6666462Z 572424b92528: Pull complete 2025-09-07T07:37:09.0635512Z 1c35b7d4b67c: Pull complete 2025-09-07T07:37:09.3609202Z 364070434a64: Verifying Checksum 2025-09-07T07:37:09.3609455Z 364070434a64: Download complete 2025-09-07T07:37:09.5228923Z 68c20f3c23bb: Pull complete 2025-09-07T07:37:09.9951446Z 7efa39950d32: Pull complete 2025-09-07T07:37:10.3426835Z a10eb16a7271: Pull complete 2025-09-07T07:37:10.6532453Z 7d52cf579654: Pull complete 2025-09-07T07:37:12.6631353Z cb6a20fcf4e2: Pull complete 2025-09-07T07:37:13.0254359Z 46fb6a8b3e1d: Pull complete 2025-09-07T07:37:13.4210796Z 5ad6977cc38e: Pull complete 2025-09-07T07:37:13.7368543Z da63046995a2: Pull complete 2025-09-07T07:37:14.0967228Z 78243fdb9906: Pull complete 2025-09-07T07:37:34.0694706Z 6f70d5d50aba: Verifying Checksum 2025-09-07T07:37:34.0694988Z 6f70d5d50aba: Download complete 2025-09-07T07:37:34.1541915Z 622d8cfb39ea: Verifying Checksum 2025-09-07T07:37:34.1546449Z 622d8cfb39ea: Download complete 2025-09-07T07:37:34.2126847Z 284119a92cb1: Verifying Checksum 2025-09-07T07:37:34.2127204Z 284119a92cb1: Download complete 2025-09-07T07:37:34.3008518Z 96695940d842: Download complete 2025-09-07T07:37:34.3722485Z 7ddca6c4c050: Verifying Checksum 2025-09-07T07:37:34.3722815Z 7ddca6c4c050: Download complete 2025-09-07T07:37:34.4570735Z a95e1f2f1aad: Verifying Checksum 2025-09-07T07:37:34.4571101Z a95e1f2f1aad: Download complete 2025-09-07T07:37:34.5436860Z 8085756b0cc0: Verifying Checksum 2025-09-07T07:37:34.5437105Z 8085756b0cc0: Download complete 2025-09-07T07:37:34.6349305Z 7e9ff0c6f103: Verifying Checksum 2025-09-07T07:37:34.6349577Z 7e9ff0c6f103: Download complete 2025-09-07T07:37:34.7199828Z a625cbbc05b9: Download complete 2025-09-07T07:37:34.7993625Z 4e2848642431: Verifying Checksum 2025-09-07T07:37:34.7993962Z 4e2848642431: Download complete 2025-09-07T07:37:34.8773450Z 5e944f1ed1be: Verifying Checksum 2025-09-07T07:37:34.8773878Z 5e944f1ed1be: Download complete 2025-09-07T07:37:34.9630000Z 41619248f604: Verifying Checksum 2025-09-07T07:37:34.9630300Z 41619248f604: Download complete 2025-09-07T07:37:35.0360647Z be86f8c4f654: Verifying Checksum 2025-09-07T07:37:35.0360945Z be86f8c4f654: Download complete 2025-09-07T07:37:35.1390329Z ef1340e22a4b: Verifying Checksum 2025-09-07T07:37:35.1392133Z ef1340e22a4b: Download complete 2025-09-07T07:37:35.2295495Z da8d8b696333: Download complete 2025-09-07T07:37:37.7258666Z 386b0c49c498: Verifying Checksum 2025-09-07T07:37:37.7258974Z 386b0c49c498: Download complete 2025-09-07T07:37:37.8261059Z 2b1d0ea7efe0: Verifying Checksum 2025-09-07T07:37:37.8261470Z 2b1d0ea7efe0: Download complete 2025-09-07T07:37:37.9274350Z 04c04be7408f: Verifying Checksum 2025-09-07T07:37:37.9274745Z 04c04be7408f: Download complete 2025-09-07T07:37:38.0572433Z 2908d6baaa6b: Verifying Checksum 2025-09-07T07:37:38.0572865Z 2908d6baaa6b: Download complete 2025-09-07T07:37:38.1444089Z 37e2336101eb: Verifying Checksum 2025-09-07T07:37:38.1444398Z 37e2336101eb: Download complete 2025-09-07T07:37:38.2347042Z f1ac881fde33: Download complete 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04c04be7408f: Pull complete 2025-09-07T07:43:34.9340868Z f8690caa3ac5: Pull complete 2025-09-07T07:43:35.2833094Z 2908d6baaa6b: Pull complete 2025-09-07T07:43:35.7408117Z 37e2336101eb: Pull complete 2025-09-07T07:43:36.6083307Z f1ac881fde33: Pull complete 2025-09-07T07:43:38.1953649Z 43b14c67347e: Pull complete 2025-09-07T07:43:38.8942988Z Digest: sha256:383efb45082f20b8c808cb0ba4df693a01359592233f641f1f486911ac320a9a 2025-09-07T07:43:39.0082975Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:43:39.0473497Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:43:39.0551994Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:43:39.0552612Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:43:39.0560756Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:43:39.0561018Z env: 2025-09-07T07:43:39.0561186Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:39.0561372Z ##[endgroup] 2025-09-07T07:43:39.0625422Z Prepare all required actions 2025-09-07T07:43:39.0711635Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:43:39.0711875Z with: 2025-09-07T07:43:39.0712421Z github-token: *** 2025-09-07T07:43:39.0712595Z env: 2025-09-07T07:43:39.0712763Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:39.0712955Z ##[endgroup] 2025-09-07T07:43:39.0824928Z ##[group]Run set -eux 2025-09-07T07:43:39.0825274Z set -eux 2025-09-07T07:43:39.0825552Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:43:39.0829812Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:43:39.0830049Z env: 2025-09-07T07:43:39.0830210Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:39.0830530Z GITHUB_TOKEN: *** 2025-09-07T07:43:39.0830704Z ##[endgroup] 2025-09-07T07:43:39.0848261Z + python3 .github/scripts/get_workflow_job_id.py 17525285611 i-0ddf92ca892c450b3 2025-09-07T07:43:39.6671239Z Setting output job-id=49775585822 2025-09-07T07:43:39.6671684Z Setting output job-name=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:43:39.6801399Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:43:39.6801826Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:43:39.6802369Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:43:39.6802838Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:43:39.6806509Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:43:39.6806746Z env: 2025-09-07T07:43:39.6806895Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:39.6807078Z JOB_ID: 49775585822 2025-09-07T07:43:39.6807403Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:43:39.6807763Z WORKFLOW_NAME: inductor-perf-nightly-x86 2025-09-07T07:43:39.6808005Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T07:43:39.6808196Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:43:39.6808373Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:43:39.6808564Z ##[endgroup] 2025-09-07T07:43:40.2419620Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:43:40.4747595Z Collecting psutil==5.9.8 2025-09-07T07:43:40.4868675Z 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) 2025-09-07T07:43:40.5673322Z Collecting dataclasses_json==0.6.7 2025-09-07T07:43:40.5699293Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:43:40.6202863Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:43:40.6240568Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:43:40.6574047Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:43:40.6602470Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:43:40.7415126Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:43:40.7441666Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:43:40.8080085Z Collecting packaging>=17.0 2025-09-07T07:43:40.8108763Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:43:40.8902856Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:43:40.8927682Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:43:41.0263408Z Collecting typing-extensions>=3.7.4 2025-09-07T07:43:41.0290722Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:43:41.2932821Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T07:43:41.5755811Z 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-4.15.0 typing-inspect-0.9.0 2025-09-07T07:43:41.7489504Z Prepare all required actions 2025-09-07T07:43:41.7489794Z Getting action download info 2025-09-07T07:43:41.8789871Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:43:42.2717209Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:43:42.6462131Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:43:42.6462366Z with: 2025-09-07T07:43:42.6462548Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:43:42.6462759Z s3-bucket: gha-artifacts 2025-09-07T07:43:42.6462942Z env: 2025-09-07T07:43:42.6463102Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:42.6463284Z ##[endgroup] 2025-09-07T07:43:42.6606708Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:43:42.6606933Z with: 2025-09-07T07:43:42.6607104Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:43:42.6607312Z s3-bucket: gha-artifacts 2025-09-07T07:43:42.6607532Z region: us-east-1 2025-09-07T07:43:42.6607681Z env: 2025-09-07T07:43:42.6607830Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:42.6608001Z ##[endgroup] 2025-09-07T07:43:43.3416825Z (node:59580) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:43:43.3417129Z 2025-09-07T07:43:43.3417286Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:43:43.3417626Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:43:43.3417960Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:43:44.7215539Z Found 1 objects with prefix pytorch/pytorch/17525285611/linux-jammy-py3.9-gcc11-build/ 2025-09-07T07:43:44.7215987Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:43:50.1274035Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:43:50.1275960Z Artifact download has finished successfully 2025-09-07T07:43:50.1482011Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:43:50.1482258Z unzip -o artifacts.zip 2025-09-07T07:43:50.1486956Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:43:50.1487185Z env: 2025-09-07T07:43:50.1487342Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:50.1487540Z ##[endgroup] 2025-09-07T07:43:50.1812808Z Archive: artifacts.zip 2025-09-07T07:43:50.1813173Z creating: dist/ 2025-09-07T07:43:51.1902277Z inflating: dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:43:51.1902750Z creating: dist/vision/ 2025-09-07T07:43:51.1973577Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:43:51.1973886Z creating: dist/audio/ 2025-09-07T07:43:51.2001836Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:43:51.2002165Z creating: dist/ao/ 2025-09-07T07:43:51.2036822Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:43:51.2141938Z inflating: dist/.ninja_log 2025-09-07T07:43:51.2142318Z creating: build/custom_test_artifacts/ 2025-09-07T07:43:51.2142577Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T07:43:51.2142884Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T07:43:51.2143239Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T07:43:51.2146062Z inflating: 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build/bin/c10_DeviceGuard_test 2025-09-07T07:43:55.4534762Z inflating: build/bin/c10_Device_test 2025-09-07T07:43:55.4590766Z inflating: build/bin/c10_DispatchKeySet_test 2025-09-07T07:43:55.4637473Z inflating: build/bin/c10_StreamGuard_test 2025-09-07T07:43:55.4688890Z inflating: build/bin/c10_Scalar_test 2025-09-07T07:43:55.4742497Z inflating: build/bin/c10_SymInt_test 2025-09-07T07:43:55.4794212Z inflating: build/bin/c10_InlineDeviceGuard_test 2025-09-07T07:43:55.4847178Z inflating: build/bin/c10_SizesAndStrides_test 2025-09-07T07:43:55.4900024Z inflating: build/bin/c10_InlineStreamGuard_test 2025-09-07T07:43:55.4947176Z inflating: build/bin/c10_ArrayRef_test 2025-09-07T07:43:55.4993961Z inflating: build/bin/c10_ConstexprCrc_test 2025-09-07T07:43:55.5059447Z inflating: build/bin/c10_cow_test 2025-09-07T07:43:55.5109612Z inflating: build/bin/c10_Bitset_test 2025-09-07T07:43:55.5163756Z inflating: build/bin/c10_Enumerate_test 2025-09-07T07:43:55.5211253Z inflating: build/bin/c10_DeadlockDetection_test 2025-09-07T07:43:55.5261189Z inflating: build/bin/c10_IntrusiveList_test 2025-09-07T07:43:55.5314129Z inflating: build/bin/c10_LeftRight_test 2025-09-07T07:43:55.5362240Z inflating: build/bin/c10_Half_test 2025-09-07T07:43:55.5414935Z inflating: build/bin/c10_Metaprogramming_test 2025-09-07T07:43:55.5465480Z inflating: build/bin/c10_NetworkFlow_test 2025-09-07T07:43:55.5512869Z inflating: build/bin/c10_Semaphore_test 2025-09-07T07:43:55.5560562Z inflating: build/bin/c10_Synchronized_test 2025-09-07T07:43:55.5609742Z inflating: build/bin/c10_TypeIndex_test 2025-09-07T07:43:55.5662151Z inflating: build/bin/c10_ThreadLocal_test 2025-09-07T07:43:55.5710781Z inflating: build/bin/c10_TypeList_test 2025-09-07T07:43:55.5757543Z inflating: build/bin/c10_TypeTraits_test 2025-09-07T07:43:55.5806727Z inflating: build/bin/c10_accumulate_test 2025-09-07T07:43:55.5859569Z inflating: build/bin/c10_bfloat16_test 2025-09-07T07:43:55.5907862Z inflating: build/bin/c10_bit_cast_test 2025-09-07T07:43:55.5961194Z inflating: build/bin/c10_complex_math_test 2025-09-07T07:43:55.6013570Z inflating: build/bin/c10_complex_test 2025-09-07T07:43:55.6060592Z inflating: build/bin/c10_error_test 2025-09-07T07:43:55.6110533Z inflating: build/bin/c10_exception_test 2025-09-07T07:43:55.6158242Z inflating: build/bin/c10_flags_test 2025-09-07T07:43:55.6206210Z inflating: build/bin/c10_generic_math_test 2025-09-07T07:43:55.6254594Z inflating: build/bin/c10_irange_test 2025-09-07T07:43:55.6402845Z inflating: build/bin/c10_intrusive_ptr_test 2025-09-07T07:43:55.6451077Z inflating: build/bin/c10_lazy_test 2025-09-07T07:43:55.6505181Z inflating: build/bin/c10_logging_test 2025-09-07T07:43:55.6574755Z inflating: build/bin/c10_optional_test 2025-09-07T07:43:55.6632678Z inflating: build/bin/c10_ordered_preserving_dict_test 2025-09-07T07:43:55.6683246Z inflating: build/bin/c10_registry_test 2025-09-07T07:43:55.6821455Z inflating: build/bin/c10_small_vector_test 2025-09-07T07:43:55.6869852Z inflating: build/bin/c10_ssize_test 2025-09-07T07:43:55.6923196Z inflating: build/bin/c10_string_util_test 2025-09-07T07:43:55.6969964Z inflating: build/bin/c10_string_view_test 2025-09-07T07:43:55.7017994Z inflating: build/bin/c10_tempfile_test 2025-09-07T07:43:55.7071291Z inflating: build/bin/c10_typeid_test 2025-09-07T07:43:55.7113093Z inflating: build/bin/c10_intrusive_ptr_benchmark 2025-09-07T07:43:55.7622678Z inflating: build/bin/vec_test_all_types_DEFAULT 2025-09-07T07:43:55.8146740Z inflating: build/bin/vec_test_all_types_AVX512 2025-09-07T07:43:55.8673916Z inflating: build/bin/vec_test_all_types_AVX2 2025-09-07T07:43:55.8724815Z inflating: build/bin/static_runtime_bench 2025-09-07T07:43:55.8948384Z inflating: build/bin/static_runtime_test 2025-09-07T07:43:55.9015490Z inflating: build/bin/Dict_test 2025-09-07T07:43:55.9064854Z inflating: build/bin/Dimname_test 2025-09-07T07:43:55.9125625Z inflating: build/bin/MaybeOwned_test 2025-09-07T07:43:55.9179574Z inflating: build/bin/NamedTensor_test 2025-09-07T07:43:55.9234652Z inflating: build/bin/apply_utils_test 2025-09-07T07:43:55.9290282Z inflating: build/bin/atest 2025-09-07T07:43:55.9350196Z inflating: build/bin/basic 2025-09-07T07:43:55.9402670Z inflating: build/bin/broadcast_test 2025-09-07T07:43:55.9451171Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:43:55.9506290Z inflating: build/bin/cpu_generator_test 2025-09-07T07:43:55.9556747Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:43:55.9641126Z inflating: build/bin/cpu_rng_test 2025-09-07T07:43:55.9689687Z inflating: build/bin/dlconvertor_test 2025-09-07T07:43:55.9743615Z inflating: build/bin/extension_backend_test 2025-09-07T07:43:55.9796481Z inflating: build/bin/half_test 2025-09-07T07:43:55.9884939Z inflating: build/bin/ivalue_test 2025-09-07T07:43:55.9932271Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:43:55.9983131Z inflating: build/bin/math_kernel_test 2025-09-07T07:43:56.0034060Z inflating: build/bin/memory_format_test 2025-09-07T07:43:56.0085034Z inflating: build/bin/memory_overlapping_test 2025-09-07T07:43:56.0135447Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T07:43:56.0188579Z inflating: build/bin/native_test 2025-09-07T07:43:56.0237043Z inflating: build/bin/operator_name_test 2025-09-07T07:43:56.0285519Z inflating: build/bin/operators_test 2025-09-07T07:43:56.0334995Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T07:43:56.0398147Z inflating: build/bin/pow_test 2025-09-07T07:43:56.0452363Z inflating: build/bin/quantized_test 2025-09-07T07:43:56.0500035Z inflating: build/bin/reduce_ops_test 2025-09-07T07:43:56.0548459Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T07:43:56.0601938Z inflating: build/bin/scalar_tensor_test 2025-09-07T07:43:56.0657392Z inflating: build/bin/scalar_test 2025-09-07T07:43:56.0706261Z inflating: build/bin/StorageUtils_test 2025-09-07T07:43:56.0755667Z inflating: build/bin/stride_properties_test 2025-09-07T07:43:56.0828145Z inflating: build/bin/tensor_iterator_test 2025-09-07T07:43:56.0879870Z inflating: build/bin/test_parallel 2025-09-07T07:43:56.0927828Z inflating: build/bin/thread_init_test 2025-09-07T07:43:56.0980118Z inflating: build/bin/type_ptr_test 2025-09-07T07:43:56.1036034Z inflating: build/bin/type_test 2025-09-07T07:43:56.1086113Z inflating: build/bin/undefined_tensor_test 2025-09-07T07:43:56.1133268Z inflating: build/bin/verify_api_visibility 2025-09-07T07:43:56.1198844Z inflating: build/bin/legacy_vmap_test 2025-09-07T07:43:56.1247170Z inflating: build/bin/weakref_test 2025-09-07T07:43:56.1296157Z inflating: build/bin/wrapdim_test 2025-09-07T07:43:56.1344995Z inflating: build/bin/xla_tensor_test 2025-09-07T07:43:56.1400990Z inflating: build/bin/IListRef_test 2025-09-07T07:43:56.1496802Z inflating: build/bin/List_test 2025-09-07T07:43:56.1558602Z inflating: build/bin/KernelFunction_test 2025-09-07T07:43:56.1667257Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T07:43:56.1754098Z inflating: build/bin/kernel_function_test 2025-09-07T07:43:56.1867372Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:43:56.1959645Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:43:56.2016745Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:43:56.2103723Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:43:56.2152114Z inflating: build/bin/CppSignature_test 2025-09-07T07:43:56.2204563Z inflating: build/bin/backend_fallback_test 2025-09-07T07:43:56.2476199Z inflating: build/bin/op_registration_test 2025-09-07T07:43:56.2522314Z inflating: build/bin/op_allowlist_test 2025-09-07T07:43:56.2584749Z inflating: build/bin/inline_container_test 2025-09-07T07:43:56.3548418Z inflating: build/bin/test_jit 2025-09-07T07:43:56.3597692Z inflating: build/bin/FileStoreTest 2025-09-07T07:43:56.3647617Z inflating: build/bin/BackoffTest 2025-09-07T07:43:56.3701441Z inflating: build/bin/TCPStoreTest 2025-09-07T07:43:56.4034106Z inflating: build/bin/test_nativert 2025-09-07T07:43:56.4083882Z inflating: build/bin/HashStoreTest 2025-09-07T07:43:56.4086229Z inflating: build/bin/example_allreduce 2025-09-07T07:43:56.4148181Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:43:56.4200133Z inflating: build/bin/test_dist_autograd 2025-09-07T07:43:56.4263299Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:43:56.5253170Z inflating: build/bin/test_api 2025-09-07T07:43:56.5253548Z inflating: build/bin/parallel_benchmark 2025-09-07T07:43:56.5553196Z inflating: build/bin/test_lazy 2025-09-07T07:43:56.5554379Z inflating: build/bin/torch_shm_manager 2025-09-07T07:43:56.5554610Z creating: .additional_ci_files/ 2025-09-07T07:43:56.5630527Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:43:56.5922710Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:43:56.5949986Z ##[group]Run rm artifacts.zip 2025-09-07T07:43:56.5950203Z rm artifacts.zip 2025-09-07T07:43:56.5954773Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:43:56.5955011Z env: 2025-09-07T07:43:56.5955164Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:56.5955339Z ##[endgroup] 2025-09-07T07:43:56.6296844Z ##[group]Run df -H 2025-09-07T07:43:56.6297025Z df -H 2025-09-07T07:43:56.6300662Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:43:56.6300894Z env: 2025-09-07T07:43:56.6301062Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:56.6301238Z ##[endgroup] 2025-09-07T07:43:56.6333633Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:43:56.6333925Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:43:56.6334154Z tmpfs 102G 0 102G 0% /dev/shm 2025-09-07T07:43:56.6334366Z tmpfs 41G 11M 41G 1% /run 2025-09-07T07:43:56.6334596Z /dev/nvme0n1p1 215G 72G 144G 34% / 2025-09-07T07:43:56.6334813Z tmpfs 102G 13k 102G 1% /tmp 2025-09-07T07:43:56.6335175Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T07:43:56.6356585Z Prepare all required actions 2025-09-07T07:43:56.6357283Z Getting action download info 2025-09-07T07:43:56.8960686Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:43:56.8960911Z with: 2025-09-07T07:43:56.8961061Z env: 2025-09-07T07:43:56.8961218Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:56.8961397Z ##[endgroup] 2025-09-07T07:43:57.3996184Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:43:57.3996411Z with: 2025-09-07T07:43:57.3996557Z name: td_results 2025-09-07T07:43:57.3996726Z s3-bucket: gha-artifacts 2025-09-07T07:43:57.3996911Z region: us-east-1 2025-09-07T07:43:57.3997058Z env: 2025-09-07T07:43:57.3997209Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:57.3997386Z ##[endgroup] 2025-09-07T07:43:57.7373348Z (node:59604) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:43:57.7373939Z 2025-09-07T07:43:57.7374135Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:43:57.7374504Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:43:57.7374844Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:43:57.8187306Z Found 0 objects with prefix pytorch/pytorch/17525285611/td_results/ 2025-09-07T07:43:57.8189858Z Artifact download has finished successfully 2025-09-07T07:43:57.8389761Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:43:57.8390015Z mkdir -p .additional_ci_files 2025-09-07T07:43:57.8390288Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:43:57.8395397Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:43:57.8395625Z env: 2025-09-07T07:43:57.8395779Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:57.8395967Z ##[endgroup] 2025-09-07T07:43:57.8433822Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:43:57.8474489Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:43:57.8474727Z .github/scripts/parse_ref.py 2025-09-07T07:43:57.8478650Z shell: /usr/bin/bash -e {0} 2025-09-07T07:43:57.8478831Z env: 2025-09-07T07:43:57.8478987Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:57.8479158Z ##[endgroup] 2025-09-07T07:43:57.9000271Z Setting output branch=main 2025-09-07T07:43:57.9105156Z Prepare all required actions 2025-09-07T07:43:57.9105472Z Getting action download info 2025-09-07T07:43:58.1291570Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:43:58.1291796Z with: 2025-09-07T07:43:58.1292094Z github-token: *** 2025-09-07T07:43:58.1294198Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:43:58.1296562Z job-name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:43:58.1296885Z env: 2025-09-07T07:43:58.1297029Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:58.1297204Z ##[endgroup] 2025-09-07T07:43:58.1377506Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:43:58.1377715Z with: 2025-09-07T07:43:58.1377866Z shell: bash 2025-09-07T07:43:58.1378026Z timeout_minutes: 10 2025-09-07T07:43:58.1378193Z max_attempts: 5 2025-09-07T07:43:58.1378356Z retry_wait_seconds: 30 2025-09-07T07:43:58.1378797Z 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 2025-09-07T07:43:58.1379249Z polling_interval_seconds: 1 2025-09-07T07:43:58.1379430Z warning_on_retry: true 2025-09-07T07:43:58.1379691Z continue_on_error: false 2025-09-07T07:43:58.1379862Z env: 2025-09-07T07:43:58.1380000Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:43:58.1380301Z GITHUB_TOKEN: *** 2025-09-07T07:43:58.1380458Z ##[endgroup] 2025-09-07T07:43:58.2949596Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:43:58.4560467Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:43:58.5662318Z Collecting requests==2.27.1 2025-09-07T07:43:58.5772114Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:43:58.7101811Z Collecting pyyaml==6.0.2 2025-09-07T07:43:58.7129830Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T07:43:58.7703742Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:43:58.8273281Z Collecting certifi>=2017.4.17 2025-09-07T07:43:58.8300595Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:43:59.1279868Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:43:59.1305552Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:43:59.1746418Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:43:59.2290924Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:43:59.5775366Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:44:00.1912863Z Command completed after 1 attempt(s). 2025-09-07T07:44:00.1989332Z ##[group]Run set -x 2025-09-07T07:44:00.1989526Z set -x 2025-09-07T07:44:00.1989685Z  2025-09-07T07:44:00.1989927Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:44:00.1990219Z # in runner workspace 2025-09-07T07:44:00.1990474Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:44:00.1994845Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:44:00.1995084Z env: 2025-09-07T07:44:00.1995239Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:00.1995421Z ##[endgroup] 2025-09-07T07:44:00.2012201Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:44:00.2141326Z Setting output branch=main 2025-09-07T07:44:00.2240970Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:44:00.2241265Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:44:00.2241487Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:44:00.2241684Z  2025-09-07T07:44:00.2241919Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:44:00.2242208Z # in runner workspace 2025-09-07T07:44:00.2242493Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:44:00.2242802Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:44:00.2243021Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:44:00.2245219Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]}" \ 2025-09-07T07:44:00.2247667Z  --selected-test-configs "" \ 2025-09-07T07:44:00.2247894Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:44:00.2248107Z  --tag "${TAG}" \ 2025-09-07T07:44:00.2248303Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:44:00.2248524Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:44:00.2248734Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:44:00.2252855Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:44:00.2253105Z env: 2025-09-07T07:44:00.2253264Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:00.2253645Z GITHUB_TOKEN: *** 2025-09-07T07:44:00.2253972Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:44:00.2254309Z PR_NUMBER: 2025-09-07T07:44:00.2254463Z TAG: 2025-09-07T07:44:00.2254614Z EVENT_NAME: schedule 2025-09-07T07:44:00.2254788Z SCHEDULE: 0 7 * * * 2025-09-07T07:44:00.2254957Z HEAD_BRANCH: main 2025-09-07T07:44:00.2255116Z ##[endgroup] 2025-09-07T07:44:00.2271932Z Workflow: inductor-perf-nightly-x86 2025-09-07T07:44:00.2272299Z Job name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:44:00.3635238Z Setting output keep-going=True 2025-09-07T07:44:00.3635526Z Setting output ci-verbose-test-logs=False 2025-09-07T07:44:00.3635774Z Setting output ci-test-showlocals=False 2025-09-07T07:44:00.3635992Z Setting output ci-no-test-timeout=False 2025-09-07T07:44:00.3636200Z Setting output ci-no-td=False 2025-09-07T07:44:00.3636435Z Setting output ci-td-distributed=False 2025-09-07T07:44:00.3636657Z Setting output is-unstable=False 2025-09-07T07:44:00.3636857Z Setting output reenabled-issues= 2025-09-07T07:44:00.3639047Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:44:00.3641358Z Setting output is-test-matrix-empty=False 2025-09-07T07:44:00.3757513Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:44:00.3757765Z echo "Filtered matrix:" 2025-09-07T07:44:00.3760003Z echo "{"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]}" 2025-09-07T07:44:00.3762373Z  2025-09-07T07:44:00.3762540Z echo 2025-09-07T07:44:00.3762750Z echo "Is the current job unstable? False" 2025-09-07T07:44:00.3762988Z  2025-09-07T07:44:00.3763145Z echo 2025-09-07T07:44:00.3763341Z echo "Is keep-going label set? True" 2025-09-07T07:44:00.3763572Z  2025-09-07T07:44:00.3763725Z echo 2025-09-07T07:44:00.3763948Z echo "Reenabled issues? " 2025-09-07T07:44:00.3768016Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:44:00.3768296Z env: 2025-09-07T07:44:00.3768465Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:00.3768648Z ##[endgroup] 2025-09-07T07:44:00.3783861Z Filtered matrix: 2025-09-07T07:44:00.3786489Z {include: [{config: inductor_huggingface_perf_cpu_x86, shard: 1, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_huggingface_perf_cpu_x86, shard: 2, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_huggingface_perf_cpu_x86, shard: 3, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 1, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 2, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 3, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 4, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 5, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 1, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 2, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 3, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 4, num_shards: 4, runner: linux.24xl.spr-metal}]} 2025-09-07T07:44:00.3788557Z 2025-09-07T07:44:00.3788640Z Is the current job unstable? False 2025-09-07T07:44:00.3788764Z 2025-09-07T07:44:00.3788848Z Is keep-going label set? True 2025-09-07T07:44:00.3788960Z 2025-09-07T07:44:00.3789024Z Reenabled issues? 2025-09-07T07:44:00.3922447Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:44:00.3922767Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:44:00.3926318Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:44:00.3926550Z env: 2025-09-07T07:44:00.3926704Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:00.3926880Z JOB_TIMEOUT: 720 2025-09-07T07:44:00.3927037Z ##[endgroup] 2025-09-07T07:44:00.4496290Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:44:00.4496628Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:44:00.4496905Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:44:00.4500382Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:44:00.4500707Z env: 2025-09-07T07:44:00.4500868Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:00.4501045Z ##[endgroup] 2025-09-07T07:44:00.4620719Z ##[group]Run set -x 2025-09-07T07:44:00.4620962Z set -x 2025-09-07T07:44:00.4621110Z  2025-09-07T07:44:00.4621290Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:44:00.4621545Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:44:00.4621801Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:44:00.4622025Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:44:00.4622221Z else 2025-09-07T07:44:00.4622393Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:44:00.4622587Z fi 2025-09-07T07:44:00.4622722Z  2025-09-07T07:44:00.4622899Z # Leaving 1GB for the runner and other things 2025-09-07T07:44:00.4623240Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:44:00.4623760Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:44:00.4624160Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:44:00.4624475Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:44:00.4624728Z  2025-09-07T07:44:00.4624910Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:44:00.4625117Z  SHM_OPTS= 2025-09-07T07:44:00.4625283Z  JENKINS_USER= 2025-09-07T07:44:00.4625514Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:44:00.4625801Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:44:00.4626051Z  # when job is cancelled 2025-09-07T07:44:00.4626248Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:44:00.4626440Z else 2025-09-07T07:44:00.4626620Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:44:00.4626836Z  JENKINS_USER="--user jenkins" 2025-09-07T07:44:00.4627031Z  DOCKER_SHELL_CMD= 2025-09-07T07:44:00.4627209Z fi 2025-09-07T07:44:00.4627355Z  2025-09-07T07:44:00.4627566Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:44:00.4627869Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:44:00.4628214Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:44:00.4628522Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:44:00.4628736Z container_name=$(docker run \ 2025-09-07T07:44:00.4628940Z  ${GPU_FLAG:-} \ 2025-09-07T07:44:00.4629135Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:44:00.4629355Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:44:00.4629549Z  -e PR_NUMBER \ 2025-09-07T07:44:00.4629734Z  -e GITHUB_ACTIONS \ 2025-09-07T07:44:00.4629919Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:44:00.4630115Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:44:00.4630306Z  -e GITHUB_JOB \ 2025-09-07T07:44:00.4630483Z  -e GITHUB_RUN_ID \ 2025-09-07T07:44:00.4630657Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:44:00.4630843Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:44:00.4631031Z  -e JOB_ID \ 2025-09-07T07:44:00.4631203Z  -e JOB_NAME \ 2025-09-07T07:44:00.4631370Z  -e BASE_SHA \ 2025-09-07T07:44:00.4631536Z  -e BRANCH \ 2025-09-07T07:44:00.4631700Z  -e SHA1 \ 2025-09-07T07:44:00.4631864Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:44:00.4632042Z  -e IN_WHEEL_TEST \ 2025-09-07T07:44:00.4632224Z  -e SHARD_NUMBER \ 2025-09-07T07:44:00.4632405Z  -e TEST_CONFIG \ 2025-09-07T07:44:00.4632585Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:44:00.4632856Z  -e REENABLED_ISSUES \ 2025-09-07T07:44:00.4633054Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:44:00.4633323Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:44:00.4633523Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:44:00.4633702Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:44:00.4633883Z  -e NO_TD \ 2025-09-07T07:44:00.4634058Z  -e TD_DISTRIBUTED \ 2025-09-07T07:44:00.4634243Z  -e PR_LABELS \ 2025-09-07T07:44:00.4634436Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:44:00.4634640Z  -e SCCACHE_BUCKET \ 2025-09-07T07:44:00.4634821Z  -e SCCACHE_REGION \ 2025-09-07T07:44:00.4635003Z  -e XLA_CUDA \ 2025-09-07T07:44:00.4635199Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:44:00.4635419Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:44:00.4635652Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:44:00.4635886Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:44:00.4636102Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:44:00.4636307Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:44:00.4636527Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:44:00.4636731Z  -e DASHBOARD_TAG \ 2025-09-07T07:44:00.4636923Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:44:00.4637145Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:44:00.4637402Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:44:00.4637655Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:44:00.4637899Z  --security-opt seccomp=unconfined \ 2025-09-07T07:44:00.4638117Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:44:00.4638300Z  --ipc=host \ 2025-09-07T07:44:00.4638472Z  ${SHM_OPTS} \ 2025-09-07T07:44:00.4638641Z  --tty \ 2025-09-07T07:44:00.4638802Z  --detach \ 2025-09-07T07:44:00.4638978Z  --name="${container_name}" \ 2025-09-07T07:44:00.4639178Z  ${JENKINS_USER} \ 2025-09-07T07:44:00.4639406Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:44:00.4639649Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:44:00.4639843Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:44:00.4640029Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:44:00.4640202Z ) 2025-09-07T07:44:00.4640396Z # Propagate download.pytorch.org IP to container 2025-09-07T07:44:00.4640778Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:44:00.4641184Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:44:00.4641426Z  2025-09-07T07:44:00.4641608Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:44:00.4641942Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:44:00.4642237Z fi 2025-09-07T07:44:00.4642387Z  2025-09-07T07:44:00.4642680Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:44:00.4646484Z shell: /usr/bin/bash -e {0} 2025-09-07T07:44:00.4646666Z env: 2025-09-07T07:44:00.4646818Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:00.4647038Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-09-07T07:44:00.4647264Z PR_NUMBER: 2025-09-07T07:44:00.4647436Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:44:00.4647654Z GITHUB_WORKFLOW: inductor-perf-nightly-x86 2025-09-07T07:44:00.4647867Z GITHUB_JOB: test 2025-09-07T07:44:00.4648034Z GITHUB_RUN_ID: 17525285611 2025-09-07T07:44:00.4648214Z GITHUB_RUN_NUMBER: 525 2025-09-07T07:44:00.4648380Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:44:00.4648548Z JOB_ID: 49775585822 2025-09-07T07:44:00.4648864Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:44:00.4649239Z BRANCH: main 2025-09-07T07:44:00.4649478Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:44:00.4649720Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:44:00.4649953Z TEST_CONFIG: inductor_timm_perf_cpu_x86 2025-09-07T07:44:00.4650150Z SHARD_NUMBER: 3 2025-09-07T07:44:00.4650327Z NUM_TEST_SHARDS: 5 2025-09-07T07:44:00.4650492Z REENABLED_ISSUES: 2025-09-07T07:44:00.4650652Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:44:00.4650840Z VERBOSE_TEST_LOGS: False 2025-09-07T07:44:00.4651027Z TEST_SHOWLOCALS: False 2025-09-07T07:44:00.4651203Z NO_TEST_TIMEOUT: False 2025-09-07T07:44:00.4651359Z NO_TD: False 2025-09-07T07:44:00.4651512Z TD_DISTRIBUTED: False 2025-09-07T07:44:00.4651720Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:44:00.4651953Z SCCACHE_REGION: us-east-1 2025-09-07T07:44:00.4652120Z SHM_SIZE: 1g 2025-09-07T07:44:00.4652606Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:44:00.4653100Z XLA_CUDA: 2025-09-07T07:44:00.4653331Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:44:00.4653606Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:44:00.4653805Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:44:00.4654247Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:44:00.4654815Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:44:00.4655084Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:44:00.4655343Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:44:00.4655654Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822 2025-09-07T07:44:00.4655946Z ##[endgroup] 2025-09-07T07:44:00.4672276Z + [[ inductor_timm_perf_cpu_x86 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:44:00.4672541Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-09-07T07:44:00.4672760Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:44:00.4675231Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:44:00.4689212Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 ' 2025-09-07T07:44:00.4689439Z + TOTAL_MEMORY_WITH_SWAP=190 2025-09-07T07:44:00.4689672Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:44:00.4689909Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:44:00.4690098Z + JENKINS_USER='--user jenkins' 2025-09-07T07:44:00.4690283Z + DOCKER_SHELL_CMD= 2025-09-07T07:44:00.4696519Z +++ nproc --ignore=2 2025-09-07T07:44:00.4999558Z ++ 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=94 -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 VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=187g --memory-swap=190g --env-file=/tmp/github_env_17525285611 --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-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:37.9005568Z + container_name=16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T07:46:37.9009988Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:46:37.9010775Z + docker exec -i 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:46:38.0705569Z + echo DOCKER_CONTAINER_ID=16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T07:46:38.0707094Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:46:38.0710123Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:38.0711880Z + docker exec -t 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:46:38.3751679Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:46:38.5736002Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T07:46:38.5736804Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T07:46:38.5737498Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T07:46:38.5738637Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T07:46:38.5740933Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T07:46:38.5744204Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T07:46:38.5754919Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T07:46:38.6017358Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T07:46:38.6031752Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T07:46:38.6059567Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T07:46:39.2997941Z Installing collected packages: torch 2025-09-07T07:46:45.7870389Z 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. 2025-09-07T07:46:45.7870990Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:46:45.7871264Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:46:45.7871588Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:46:45.7872014Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:46:45.7872468Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:46:45.7872794Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:46:45.8763712Z + export TERM=vt100 2025-09-07T07:46:45.8763912Z + TERM=vt100 2025-09-07T07:46:45.8764089Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:46:45.8765715Z + source .ci/pytorch/common.sh 2025-09-07T07:46:45.8767471Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:46:45.8781024Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:46:45.8782148Z +++ declare -f -t trap_add 2025-09-07T07:46:45.8785124Z ++ set -ex -o pipefail 2025-09-07T07:46:45.8785442Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:46:45.8785721Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:46:45.8795863Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:46:45.8801148Z + source .ci/pytorch/common-build.sh 2025-09-07T07:46:45.8802132Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-09-07T07:46:45.8808029Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:46:45.8813575Z +++ cd .ci/pytorch 2025-09-07T07:46:45.8814075Z +++ pwd -P 2025-09-07T07:46:45.8815473Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:46:45.8815765Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-09-07T07:46:45.8815978Z ++ which sccache 2025-09-07T07:46:45.8834469Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:46:45.8834686Z ++ sccache --stop-server 2025-09-07T07:46:45.8856287Z ++ true 2025-09-07T07:46:45.8856460Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:46:45.8863907Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:46:45.8864123Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:46:45.8864310Z ++ shift 2025-09-07T07:46:45.8864478Z ++ for trap_add_name in "$@" 2025-09-07T07:46:45.8871841Z ++++ trap -p EXIT 2025-09-07T07:46:45.8873114Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:46:45.8873327Z ++++ extract_trap_cmd 2025-09-07T07:46:45.8873509Z ++++ printf '%s\n' '' 2025-09-07T07:46:45.8873714Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:46:45.8875164Z ++ trap -- ' 2025-09-07T07:46:45.8875338Z sccache_epilogue' EXIT 2025-09-07T07:46:45.8875521Z ++ [[ -n 1 ]] 2025-09-07T07:46:45.8875778Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:46:45.8876149Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:46:45.8876436Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:46:45.8876642Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:46:45.8876928Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:46:45.8877242Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:46:45.8877530Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:46:45.8877748Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:46:45.8877941Z ++ sccache --zero-stats 2025-09-07T07:46:46.0281020Z Statistics zeroed. 2025-09-07T07:46:46.0284609Z ++ which ccache 2025-09-07T07:46:46.0300604Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-09-07T07:46:46.0300898Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-09-07T07:46:46.0301178Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:46:46.0302844Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:46:46.0311654Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:46:46.0311905Z + trap_add cleanup_workspace EXIT 2025-09-07T07:46:46.0312146Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:46:46.0312363Z + shift 2025-09-07T07:46:46.0312550Z + for trap_add_name in "$@" 2025-09-07T07:46:46.0317192Z +++ trap -p EXIT 2025-09-07T07:46:46.0319088Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:46:46.0319345Z sccache_epilogue'\'' EXIT' 2025-09-07T07:46:46.0319574Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:46:46.0319799Z sccache_epilogue' EXIT 2025-09-07T07:46:46.0319994Z +++ printf '%s\n' ' 2025-09-07T07:46:46.0320190Z sccache_epilogue' 2025-09-07T07:46:46.0320403Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:46:46.0321219Z + trap -- ' 2025-09-07T07:46:46.0321393Z sccache_epilogue 2025-09-07T07:46:46.0321589Z cleanup_workspace' EXIT 2025-09-07T07:46:46.0321831Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:46:46.4208721Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:46:46.4213780Z + echo 'Environment variables:' 2025-09-07T07:46:46.4213996Z Environment variables: 2025-09-07T07:46:46.4214290Z + env 2025-09-07T07:46:46.4219340Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:46:46.4219979Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:46:46.4220217Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:46.4220870Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:46:46.4221082Z HOSTNAME=16ee92046b96 2025-09-07T07:46:46.4221434Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4221804Z GITHUB_ACTION=__run_2 2025-09-07T07:46:46.4221995Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:46:46.4222196Z GITHUB_RUN_NUMBER=525 2025-09-07T07:46:46.4222378Z TEST_CONFIG=inductor_timm_perf_cpu_x86 2025-09-07T07:46:46.4222599Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:46:46.4222823Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:46:46.4223032Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:46:46.4223275Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:46:46.4223485Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:46:46.4223692Z GITHUB_REF_TYPE=branch 2025-09-07T07:46:46.4223899Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4224109Z XLA_CUDA= 2025-09-07T07:46:46.4224271Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:46:46.4224538Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:46:46.4224982Z *** 2025-09-07T07:46:46.4225140Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:46:46.4225325Z GITHUB_ACTIONS=true 2025-09-07T07:46:46.4225534Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:46:46.4225791Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4226038Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4226433Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:46:46.4226793Z UCC_HOME=/usr 2025-09-07T07:46:46.4226961Z VERBOSE_TEST_LOGS=False 2025-09-07T07:46:46.4227148Z GITHUB_REF=refs/heads/main 2025-09-07T07:46:46.4227321Z SHARD_NUMBER=3 2025-09-07T07:46:46.4227493Z GITHUB_REF_PROTECTED=true 2025-09-07T07:46:46.4227675Z HOME=/var/lib/jenkins 2025-09-07T07:46:46.4227878Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:46:46.4228094Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:46:46.4228297Z UCX_COMMIT= 2025-09-07T07:46:46.4228450Z USE_SYSTEM_NCCL=1 2025-09-07T07:46:46.4228616Z NUM_TEST_SHARDS=5 2025-09-07T07:46:46.4228769Z UCX_HOME=/usr 2025-09-07T07:46:46.4229123Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4229655Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:46:46.4230170Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4230636Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:46:46.4230931Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:46:46.4231382Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:46:46.4231844Z GITHUB_RUN_ID=17525285611 2025-09-07T07:46:46.4232028Z INSTALLED_OPENBLAS= 2025-09-07T07:46:46.4232409Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4232812Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:46:46.4232998Z PR_NUMBER= 2025-09-07T07:46:46.4233152Z DESIRED_CUDA= 2025-09-07T07:46:46.4233304Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:46:46.4233485Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:46:46.4233711Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:46:46.4233936Z TERM=vt100 2025-09-07T07:46:46.4234086Z INSTALLED_VISION=yes 2025-09-07T07:46:46.4234257Z BRANCH=main 2025-09-07T07:46:46.4234420Z SCCACHE_REGION=us-east-1 2025-09-07T07:46:46.4234614Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:46:46.4234798Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:46:46.4235119Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:46:46.4235546Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:46:46.4235753Z UCC_COMMIT= 2025-09-07T07:46:46.4235954Z REENABLED_ISSUES= 2025-09-07T07:46:46.4236120Z DOCS=yes 2025-09-07T07:46:46.4236270Z SHLVL=1 2025-09-07T07:46:46.4236421Z MAX_JOBS=94 2025-09-07T07:46:46.4236571Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:46:46.4236804Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4237056Z GITHUB_REF_NAME=main 2025-09-07T07:46:46.4237309Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:46:46.4237575Z GITHUB_JOB=test 2025-09-07T07:46:46.4237740Z NO_TEST_TIMEOUT=False 2025-09-07T07:46:46.4237915Z TD_DISTRIBUTED=False 2025-09-07T07:46:46.4238100Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:46:46.4238298Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:46:46.4238479Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:46:46.4238665Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:46:46.4239145Z 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 2025-09-07T07:46:46.4239613Z GITHUB_BASE_REF= 2025-09-07T07:46:46.4239781Z INSTALLED_ACL= 2025-09-07T07:46:46.4240064Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822 2025-09-07T07:46:46.4240378Z CI=true 2025-09-07T07:46:46.4240531Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:46:46.4240774Z RUST_LOG=sccache::server=error 2025-09-07T07:46:46.4240960Z JOB_ID=49775585822 2025-09-07T07:46:46.4241120Z GITHUB_HEAD_REF= 2025-09-07T07:46:46.4241276Z GITHUB_ACTION_REF= 2025-09-07T07:46:46.4241481Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:46:46.4241710Z TEST_SHOWLOCALS=False 2025-09-07T07:46:46.4241910Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:46:46.4242130Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:46:46.4242516Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4242895Z NO_TD=False 2025-09-07T07:46:46.4243062Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:46:46.4243266Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:46:46.4243479Z _=/usr/bin/env 2025-09-07T07:46:46.4243700Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:46:46.4469220Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-09-07T07:46:46.4473736Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-09-07T07:46:46.4474227Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-09-07T07:46:46.4474657Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-09-07T07:46:46.4474990Z + BUILD_DIR=build 2025-09-07T07:46:46.4475537Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:46:46.4475813Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:46:46.4476007Z + SHARD_NUMBER=3 2025-09-07T07:46:46.4476197Z + NUM_TEST_SHARDS=5 2025-09-07T07:46:46.4476390Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:46:46.4476600Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:46:46.4476803Z + export VALGRIND=ON 2025-09-07T07:46:46.4476976Z + VALGRIND=ON 2025-09-07T07:46:46.4477181Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-09-07T07:46:46.4477433Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:46:46.4477649Z + detect_cuda_arch 2025-09-07T07:46:46.4477843Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:46:46.4478086Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-09-07T07:46:46.4478291Z + [[ 0 == \1 ]] 2025-09-07T07:46:46.4478443Z + [[ True == \1 ]] 2025-09-07T07:46:46.4478648Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-09-07T07:46:46.4478973Z ++ realpath build/custom_test_artifacts 2025-09-07T07:46:46.4479340Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:46:46.4479648Z + [[ -n '' ]] 2025-09-07T07:46:46.4480038Z + echo 'Environment variables' 2025-09-07T07:46:46.4480236Z Environment variables 2025-09-07T07:46:46.4480408Z + env 2025-09-07T07:46:46.4499247Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:46:46.4499525Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:46:46.4499746Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:46.4500136Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:46:46.4500344Z HOSTNAME=16ee92046b96 2025-09-07T07:46:46.4500704Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4501135Z GITHUB_ACTION=__run_2 2025-09-07T07:46:46.4501323Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:46:46.4501531Z GITHUB_RUN_NUMBER=525 2025-09-07T07:46:46.4501718Z TEST_CONFIG=inductor_timm_perf_cpu_x86 2025-09-07T07:46:46.4501930Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:46:46.4502148Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:46:46.4502355Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:46:46.4502619Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:46:46.4502830Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:46:46.4503036Z GITHUB_REF_TYPE=branch 2025-09-07T07:46:46.4503240Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4503456Z XLA_CUDA= 2025-09-07T07:46:46.4503618Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:46:46.4503891Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:46:46.4504110Z *** 2025-09-07T07:46:46.4504265Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:46:46.4504454Z GITHUB_ACTIONS=true 2025-09-07T07:46:46.4504650Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:46:46.4504899Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4505140Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4505530Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:46:46.4505879Z UCC_HOME=/usr 2025-09-07T07:46:46.4506038Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:46:46.4506229Z VERBOSE_TEST_LOGS=False 2025-09-07T07:46:46.4506410Z GITHUB_REF=refs/heads/main 2025-09-07T07:46:46.4506591Z SHARD_NUMBER=3 2025-09-07T07:46:46.4506755Z GITHUB_REF_PROTECTED=true 2025-09-07T07:46:46.4506936Z HOME=/var/lib/jenkins 2025-09-07T07:46:46.4507136Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:46:46.4507370Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:46:46.4507573Z UCX_COMMIT= 2025-09-07T07:46:46.4507734Z USE_SYSTEM_NCCL=1 2025-09-07T07:46:46.4507906Z NUM_TEST_SHARDS=5 2025-09-07T07:46:46.4508062Z UCX_HOME=/usr 2025-09-07T07:46:46.4508421Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4508960Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T07:46:46.4509489Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4509972Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:46:46.4510277Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:46:46.4510733Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:46:46.4511192Z GITHUB_RUN_ID=17525285611 2025-09-07T07:46:46.4511377Z INSTALLED_OPENBLAS= 2025-09-07T07:46:46.4511745Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4512152Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:46:46.4512345Z PR_NUMBER= 2025-09-07T07:46:46.4512503Z DESIRED_CUDA= 2025-09-07T07:46:46.4512660Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:46:46.4512829Z VALGRIND=ON 2025-09-07T07:46:46.4512993Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:46:46.4513221Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:46:46.4513442Z TERM=vt100 2025-09-07T07:46:46.4513665Z INSTALLED_VISION=yes 2025-09-07T07:46:46.4513840Z BRANCH=main 2025-09-07T07:46:46.4514001Z SCCACHE_REGION=us-east-1 2025-09-07T07:46:46.4514191Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:46:46.4514455Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:46:46.4514789Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:46:46.4515141Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:46:46.4515336Z UCC_COMMIT= 2025-09-07T07:46:46.4515488Z REENABLED_ISSUES= 2025-09-07T07:46:46.4515649Z DOCS=yes 2025-09-07T07:46:46.4515798Z SHLVL=1 2025-09-07T07:46:46.4515940Z MAX_JOBS=94 2025-09-07T07:46:46.4516100Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:46:46.4516332Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:46.4516582Z GITHUB_REF_NAME=main 2025-09-07T07:46:46.4516835Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:46:46.4517112Z GITHUB_JOB=test 2025-09-07T07:46:46.4517279Z NO_TEST_TIMEOUT=False 2025-09-07T07:46:46.4517459Z TD_DISTRIBUTED=False 2025-09-07T07:46:46.4517638Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:46:46.4517843Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:46:46.4518036Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:46:46.4518224Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:46:46.4518691Z 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 2025-09-07T07:46:46.4519155Z GITHUB_BASE_REF= 2025-09-07T07:46:46.4519326Z INSTALLED_ACL= 2025-09-07T07:46:46.4519616Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822 2025-09-07T07:46:46.4519938Z CI=true 2025-09-07T07:46:46.4520101Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:46:46.4520325Z RUST_LOG=sccache::server=error 2025-09-07T07:46:46.4520514Z JOB_ID=49775585822 2025-09-07T07:46:46.4520672Z GITHUB_HEAD_REF= 2025-09-07T07:46:46.4520836Z GITHUB_ACTION_REF= 2025-09-07T07:46:46.4521045Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:46:46.4521288Z TEST_SHOWLOCALS=False 2025-09-07T07:46:46.4521488Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:46:46.4521719Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:46:46.4522104Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2c2df990-809e-4d7a-b95c-aa3834d70d99 2025-09-07T07:46:46.4522482Z NO_TD=False 2025-09-07T07:46:46.4522644Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:46:46.4522859Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:46:46.4523067Z _=/usr/bin/env 2025-09-07T07:46:46.4523250Z + echo 'Testing pytorch' 2025-09-07T07:46:46.4523430Z Testing pytorch 2025-09-07T07:46:46.4523603Z + export LANG=C.UTF-8 2025-09-07T07:46:46.4523777Z + LANG=C.UTF-8 2025-09-07T07:46:46.4523937Z + PR_NUMBER= 2025-09-07T07:46:46.4524120Z + [[ inductor_timm_perf_cpu_x86 == \d\e\f\a\u\l\t ]] 2025-09-07T07:46:46.4524386Z + [[ inductor_timm_perf_cpu_x86 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:46:46.4524639Z + [[ inductor_timm_perf_cpu_x86 == \s\l\o\w ]] 2025-09-07T07:46:46.4524904Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-09-07T07:46:46.4525174Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:46:46.4525413Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:46:46.4525656Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:46:46.4525896Z + [[ inductor_timm_perf_cpu_x86 == *crossref* ]] 2025-09-07T07:46:46.4526135Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:46:46.4526366Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:46:46.4526613Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:46:46.4526850Z + pip_install ninja==1.10.2 2025-09-07T07:46:46.4527099Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:46:46.4527392Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:46:46.7470439Z Collecting ninja==1.10.2 2025-09-07T07:46:46.7541207Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T07:46:46.7606630Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T07:46:47.4292835Z Installing collected packages: ninja 2025-09-07T07:46:47.4293095Z Attempting uninstall: ninja 2025-09-07T07:46:47.4293436Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:46:47.4306405Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:46:47.4359062Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:46:47.4738658Z Successfully installed ninja-1.10.2 2025-09-07T07:46:47.5463959Z + 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 2025-09-07T07:46:47.5465294Z + 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 2025-09-07T07:46:47.5465895Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:46:47.5466183Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-09-07T07:46:47.5466451Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-09-07T07:46:47.5466700Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:46:47.5467056Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-09-07T07:46:47.5467434Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-09-07T07:46:47.5467718Z + cd test 2025-09-07T07:46:47.5467956Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:46:47.8294828Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:46:47.8296342Z import pynvml # type: ignore[import] 2025-09-07T07:46:48.5729229Z + [[ inductor_timm_perf_cpu_x86 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:46:48.5729675Z + [[ inductor_timm_perf_cpu_x86 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:46:48.5730066Z + [[ inductor_timm_perf_cpu_x86 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:46:48.5730740Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:46:48.5731426Z + [[ inductor_timm_perf_cpu_x86 == *pr_time_benchmarks* ]] 2025-09-07T07:46:48.5731844Z + [[ inductor_timm_perf_cpu_x86 == *dynamo_eager* ]] 2025-09-07T07:46:48.5732155Z + [[ inductor_timm_perf_cpu_x86 == *aot_eager* ]] 2025-09-07T07:46:48.5732431Z + [[ inductor_timm_perf_cpu_x86 == *aot_inductor* ]] 2025-09-07T07:46:48.5732751Z + [[ inductor_timm_perf_cpu_x86 == *max_autotune_inductor* ]] 2025-09-07T07:46:48.5733040Z + [[ inductor_timm_perf_cpu_x86 == *inductor* ]] 2025-09-07T07:46:48.5733301Z + [[ inductor_timm_perf_cpu_x86 != *perf* ]] 2025-09-07T07:46:48.5733579Z + [[ inductor_timm_perf_cpu_x86 == *dynamic* ]] 2025-09-07T07:46:48.5733835Z + [[ inductor_timm_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:46:48.5734106Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:46:48.5761959Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:46:48.5762278Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-09-07T07:46:48.5764617Z + cd test 2025-09-07T07:46:48.5765305Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:46:48.8646426Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:46:48.8647840Z import pynvml # type: ignore[import] 2025-09-07T07:46:49.4404432Z PyTorch built with: 2025-09-07T07:46:49.4404657Z - GCC 11.4 2025-09-07T07:46:49.4404819Z - C++ Version: 201703 2025-09-07T07:46:49.4407907Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:46:49.4408465Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:46:49.4408781Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:46:49.4409008Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:46:49.4409224Z - NNPACK is enabled 2025-09-07T07:46:49.4409413Z - CPU capability usage: AVX512 2025-09-07T07:46:49.4411884Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, 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, 2025-09-07T07:46:49.4414410Z 2025-09-07T07:46:49.6075431Z + cd test 2025-09-07T07:46:49.6075755Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:46:49.8830655Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:46:49.8832112Z import pynvml # type: ignore[import] 2025-09-07T07:46:50.4613880Z ATen/Parallel: 2025-09-07T07:46:50.4614142Z at::get_num_threads() : 48 2025-09-07T07:46:50.4614359Z at::get_num_interop_threads() : 48 2025-09-07T07:46:50.4614570Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:46:50.4614767Z omp_get_max_threads() : 48 2025-09-07T07:46:50.4615117Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:46:50.4615446Z mkl_get_max_threads() : 48 2025-09-07T07:46:50.4615701Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:46:50.4615976Z std::thread::hardware_concurrency() : 96 2025-09-07T07:46:50.4616183Z Environment variables: 2025-09-07T07:46:50.4616353Z OMP_NUM_THREADS : [not set] 2025-09-07T07:46:50.4616533Z MKL_NUM_THREADS : [not set] 2025-09-07T07:46:50.4616753Z ATen parallel backend: OpenMP 2025-09-07T07:46:50.4616869Z 2025-09-07T07:46:50.6255734Z + [[ inductor_timm_perf_cpu_x86 == *numpy_2* ]] 2025-09-07T07:46:50.6256137Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:46:50.6256442Z + [[ inductor_timm_perf_cpu_x86 == *backward* ]] 2025-09-07T07:46:50.6256705Z + [[ inductor_timm_perf_cpu_x86 == *xla* ]] 2025-09-07T07:46:50.6256966Z + [[ inductor_timm_perf_cpu_x86 == *vllm* ]] 2025-09-07T07:46:50.6257228Z + [[ inductor_timm_perf_cpu_x86 == *executorch* ]] 2025-09-07T07:46:50.6257523Z + [[ inductor_timm_perf_cpu_x86 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:46:50.6257834Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:46:50.6258114Z + [[ inductor_timm_perf_cpu_x86 == distributed ]] 2025-09-07T07:46:50.6258398Z + [[ inductor_timm_perf_cpu_x86 == *operator_benchmark* ]] 2025-09-07T07:46:50.6258708Z + [[ inductor_timm_perf_cpu_x86 == *inductor_distributed* ]] 2025-09-07T07:46:50.6259014Z + [[ inductor_timm_perf_cpu_x86 == *inductor-halide* ]] 2025-09-07T07:46:50.6259577Z + [[ inductor_timm_perf_cpu_x86 == *inductor-triton-cpu* ]] 2025-09-07T07:46:50.6260034Z + [[ inductor_timm_perf_cpu_x86 == *inductor-micro-benchmark* ]] 2025-09-07T07:46:50.6260363Z + [[ inductor_timm_perf_cpu_x86 == *huggingface* ]] 2025-09-07T07:46:50.6260636Z + [[ inductor_timm_perf_cpu_x86 == *timm* ]] 2025-09-07T07:46:50.6260871Z + install_torchvision 2025-09-07T07:46:50.6261072Z + local orig_preload 2025-09-07T07:46:50.6261265Z + local commit 2025-09-07T07:46:50.6261466Z ++ get_pinned_commit vision 2025-09-07T07:46:50.6261686Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:46:50.6736668Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:46:50.6736941Z + orig_preload= 2025-09-07T07:46:50.6737112Z + '[' -n '' ']' 2025-09-07T07:46:50.6737308Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:46:50.6737720Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:46:50.6738235Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:46:50.6738574Z + local wheel_dir=dist/vision 2025-09-07T07:46:50.6738762Z + local found_whl=0 2025-09-07T07:46:50.6738931Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:46:50.6739227Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T07:46:50.6739505Z + found_whl=1 2025-09-07T07:46:50.6739660Z + break 2025-09-07T07:46:50.6739800Z + '[' 1 == 0 ']' 2025-09-07T07:46:50.6739971Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:46:50.6740277Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:50.6740663Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-09-07T07:46:50.6740928Z + local args 2025-09-07T07:46:50.6741180Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T07:46:50.6741490Z + for path in "${args[@]}" 2025-09-07T07:46:50.6741782Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-09-07T07:46:50.6742175Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:50.6742612Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:50.9347950Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:50.9406059Z Installing collected packages: torchvision 2025-09-07T07:46:51.7803215Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:46:51.8106906Z + '[' -n '' ']' 2025-09-07T07:46:51.8107119Z + id=2 2025-09-07T07:46:51.8107303Z + test_dynamo_benchmark timm_models 2 2025-09-07T07:46:51.8107508Z ++ pwd 2025-09-07T07:46:51.8107771Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:46:51.8108033Z + local suite=timm_models 2025-09-07T07:46:51.8108279Z + shift 2025-09-07T07:46:51.8108484Z + local shard_id=2 2025-09-07T07:46:51.8108637Z + shift 2025-09-07T07:46:51.8108840Z + [[ inductor_timm_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:46:51.8109079Z + [[ inductor_timm_perf_cpu_x86 == *perf* ]] 2025-09-07T07:46:51.8109296Z + [[ inductor_timm_perf_cpu_x86 == *b200* ]] 2025-09-07T07:46:51.8109520Z + test_single_dynamo_benchmark dashboard timm_models 2 2025-09-07T07:46:51.8111630Z ++ pwd 2025-09-07T07:46:51.8113037Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:46:51.8113324Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:46:51.8125673Z + local name=dashboard 2025-09-07T07:46:51.8125864Z + shift 2025-09-07T07:46:51.8126036Z + local suite=timm_models 2025-09-07T07:46:51.8126211Z + shift 2025-09-07T07:46:51.8126355Z + local shard_id=2 2025-09-07T07:46:51.8126504Z + shift 2025-09-07T07:46:51.8126653Z + partition_flags=() 2025-09-07T07:46:51.8126829Z + local partition_flags 2025-09-07T07:46:51.8127204Z + [[ -n 5 ]] 2025-09-07T07:46:51.8127355Z + [[ -n 2 ]] 2025-09-07T07:46:51.8127620Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:46:51.8128032Z + [[ inductor_timm_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:46:51.8128265Z + [[ inductor_timm_perf_cpu_x86 == *perf* ]] 2025-09-07T07:46:51.8128571Z + test_perf_for_dashboard timm_models --device cpu --total-partitions 5 --partition-id 2 2025-09-07T07:46:51.8130415Z ++ pwd 2025-09-07T07:46:51.8131925Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:46:51.8132212Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:46:51.8143140Z + local suite=timm_models 2025-09-07T07:46:51.8143323Z + shift 2025-09-07T07:46:51.8143536Z + local backend=inductor 2025-09-07T07:46:51.8143711Z + modes=() 2025-09-07T07:46:51.8143851Z + local modes 2025-09-07T07:46:51.8144304Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *training-true* ]] 2025-09-07T07:46:51.8145056Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *inference-true* ]] 2025-09-07T07:46:51.8145521Z + modes+=(inference) 2025-09-07T07:46:51.8145706Z + targets=('accuracy' 'performance') 2025-09-07T07:46:51.8145894Z + local targets 2025-09-07T07:46:51.8146053Z + local device=cuda 2025-09-07T07:46:51.8146236Z + [[ inductor_timm_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:46:51.8146459Z + [[ inductor_timm_perf_cpu_x86 == *cpu_x86_zen* ]] 2025-09-07T07:46:51.8146683Z + [[ inductor_timm_perf_cpu_x86 == *cpu_x86* ]] 2025-09-07T07:46:51.8146888Z + device=cpu_x86 2025-09-07T07:46:51.8147059Z + test_inductor_set_cpu_affinity 2025-09-07T07:46:51.8147467Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:46:51.8331182Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2 2025-09-07T07:46:51.8331483Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:46:51.8331780Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:46:51.8332193Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:46:51.8332702Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:46:51.8333045Z + [[ inductor_timm_perf_cpu_x86 != *aarch64* ]] 2025-09-07T07:46:51.8339779Z +++ which python 2025-09-07T07:46:51.8353784Z ++ dirname /opt/conda/envs/py_3.9/bin/python 2025-09-07T07:46:51.8368030Z + IOMP_LIB=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so 2025-09-07T07:46:51.8368437Z + export LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:46:51.8368914Z + LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:46:51.8369268Z + export KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:46:51.8369517Z + KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:46:51.8369765Z + export KMP_BLOCKTIME=1 2025-09-07T07:46:51.8369949Z + KMP_BLOCKTIME=1 2025-09-07T07:46:51.8372174Z ++ nproc 2025-09-07T07:46:51.8392060Z + cpus=96 2025-09-07T07:46:51.8395415Z ++ lscpu 2025-09-07T07:46:51.8396387Z ++ grep 'Thread(s) per core:' 2025-09-07T07:46:51.8397160Z ++ awk '{print $4}' 2025-09-07T07:46:51.8650985Z + thread_per_core=2 2025-09-07T07:46:51.8651188Z + cores=48 2025-09-07T07:46:51.8651379Z + [[ inductor_timm_perf_cpu_x86 == *aarch64* ]] 2025-09-07T07:46:51.8651620Z + export OMP_NUM_THREADS=48 2025-09-07T07:46:51.8651807Z + OMP_NUM_THREADS=48 2025-09-07T07:46:51.8657993Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:46:51.8878613Z + start_cpu=0 2025-09-07T07:46:51.8879193Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:46:51.9097229Z + end_cpu=93 2025-09-07T07:46:51.9097549Z + export 'TASKSET=taskset -c 0-93' 2025-09-07T07:46:51.9097802Z + TASKSET='taskset -c 0-93' 2025-09-07T07:46:51.9098267Z + for mode in "${modes[@]}" 2025-09-07T07:46:51.9098468Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:46:51.9098681Z + [[ cpu_x86 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:46:51.9098936Z + dtype=amp 2025-09-07T07:46:51.9099104Z + for target in "${targets[@]}" 2025-09-07T07:46:51.9099294Z + target_flag=('--accuracy') 2025-09-07T07:46:51.9099475Z + local target_flag 2025-09-07T07:46:51.9099646Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:46:51.9099856Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:46:51.9100080Z + target_flag+=(--no-translation-validation) 2025-09-07T07:46:51.9100596Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T07:46:51.9101073Z + target_flag+=(--freezing) 2025-09-07T07:46:51.9101526Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T07:46:51.9102635Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T07:46:52.6257901Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:46:52.6258838Z import pynvml # type: ignore[import] 2025-09-07T07:46:55.5422392Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:46:55.5423350Z import pynvml # type: ignore[import] 2025-09-07T07:46:57.7224854Z 2025-09-07T07:46:58.1058566Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:58.1058803Z 2025-09-07T07:46:58.2073361Z model.safetensors: 0% 0.00/85.6M [00:00 2025-09-07T07:59:40.8396296Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8396454Z 2025-09-07T07:59:40.8396560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8396896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8397202Z return mod(*inputs) 2025-09-07T07:59:40.8397514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8397835Z x = self.forward_features(x) 2025-09-07T07:59:40.8398175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8398513Z x = self.blocks(x) 2025-09-07T07:59:40.8398837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8399172Z x = self.conv_pw(x) 2025-09-07T07:59:40.8399462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8399820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8400203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8400569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8400716Z 2025-09-07T07:59:40.8400817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8401162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8401473Z return mod(*inputs) 2025-09-07T07:59:40.8401777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8402110Z x = self.forward_features(x) 2025-09-07T07:59:40.8402445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8402784Z x = self.blocks(x) 2025-09-07T07:59:40.8403105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8403438Z x = self.conv_pw(x) 2025-09-07T07:59:40.8403727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8404079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8404440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8404795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8404944Z 2025-09-07T07:59:40.8405051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8405391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8405697Z return mod(*inputs) 2025-09-07T07:59:40.8406000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8406329Z x = self.forward_features(x) 2025-09-07T07:59:40.8406666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8406996Z x = self.blocks(x) 2025-09-07T07:59:40.8407319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8407664Z x = self.conv_pw(x) 2025-09-07T07:59:40.8407958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8408326Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8408723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8409076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8409224Z 2025-09-07T07:59:40.8409321Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8409534Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8409757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8410103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8410410Z return mod(*inputs) 2025-09-07T07:59:40.8410724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8411040Z x = self.forward_features(x) 2025-09-07T07:59:40.8411376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8411719Z x = self.blocks(x) 2025-09-07T07:59:40.8412037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8412367Z x = self.conv_pw(x) 2025-09-07T07:59:40.8412661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8413004Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8413119Z 2025-09-07T07:59:40.8413219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8413561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8413870Z return mod(*inputs) 2025-09-07T07:59:40.8414175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8414501Z x = self.forward_features(x) 2025-09-07T07:59:40.8414846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8415191Z x = self.blocks(x) 2025-09-07T07:59:40.8415504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.8415833Z x = self.bn1(x) 2025-09-07T07:59:40.8416117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8416429Z x = self.act(x) 2025-09-07T07:59:40.8416521Z 2025-09-07T07:59:40.8416633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8416966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8417273Z return mod(*inputs) 2025-09-07T07:59:40.8417576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8417907Z x = self.forward_features(x) 2025-09-07T07:59:40.8418243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8418593Z x = self.blocks(x) 2025-09-07T07:59:40.8418909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8419243Z x = self.conv_dw(x) 2025-09-07T07:59:40.8419551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8419907Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8420269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8420629Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8420792Z 2025-09-07T07:59:40.8420900Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8421254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8421566Z return mod(*inputs) 2025-09-07T07:59:40.8421919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8422249Z x = self.forward_features(x) 2025-09-07T07:59:40.8422589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8422921Z x = self.blocks(x) 2025-09-07T07:59:40.8423240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8423573Z x = self.conv_dw(x) 2025-09-07T07:59:40.8423871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8424209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8424581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8424941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8425089Z 2025-09-07T07:59:40.8425200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8425542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8425865Z return mod(*inputs) 2025-09-07T07:59:40.8426172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8426499Z x = self.forward_features(x) 2025-09-07T07:59:40.8426848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8427188Z x = self.blocks(x) 2025-09-07T07:59:40.8427498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8427836Z x = self.conv_dw(x) 2025-09-07T07:59:40.8428134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8428484Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8428837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8429198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8429365Z 2025-09-07T07:59:40.8429464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8429806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8430128Z return mod(*inputs) 2025-09-07T07:59:40.8430428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8430757Z x = self.forward_features(x) 2025-09-07T07:59:40.8431102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8431451Z x = self.blocks(x) 2025-09-07T07:59:40.8431775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8432105Z x = self.conv_dw(x) 2025-09-07T07:59:40.8432403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8432758Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8433142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8433491Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8433651Z 2025-09-07T07:59:40.8433759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8434102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8434458Z return mod(*inputs) 2025-09-07T07:59:40.8434796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8435124Z x = self.forward_features(x) 2025-09-07T07:59:40.8435470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8435815Z x = self.blocks(x) 2025-09-07T07:59:40.8436146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8436476Z x = self.conv_dw(x) 2025-09-07T07:59:40.8436776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8437128Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8437491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8437864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8438024Z 2025-09-07T07:59:40.8438121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8438462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8438789Z return mod(*inputs) 2025-09-07T07:59:40.8439093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8439427Z x = self.forward_features(x) 2025-09-07T07:59:40.8439755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8440091Z x = self.blocks(x) 2025-09-07T07:59:40.8440407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8440736Z x = self.conv_dw(x) 2025-09-07T07:59:40.8441027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8441382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8441747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8442100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8442248Z 2025-09-07T07:59:40.8442339Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8442541Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8442747Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8442975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8443318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8443620Z return mod(*inputs) 2025-09-07T07:59:40.8443930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8444256Z x = self.forward_features(x) 2025-09-07T07:59:40.8444595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8444942Z x = self.blocks(x) 2025-09-07T07:59:40.8445251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8445586Z x = self.conv_dw(x) 2025-09-07T07:59:40.8445886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8446208Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8446316Z 2025-09-07T07:59:40.8446416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8446756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8447097Z return mod(*inputs) 2025-09-07T07:59:40.8447427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8447760Z x = self.forward_features(x) 2025-09-07T07:59:40.8448089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8448435Z x = self.blocks(x) 2025-09-07T07:59:40.8448753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8449082Z x = self.bn2(x) 2025-09-07T07:59:40.8449360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8449669Z x = self.act(x) 2025-09-07T07:59:40.8449766Z 2025-09-07T07:59:40.8449868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8450212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8450521Z return mod(*inputs) 2025-09-07T07:59:40.8450818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8451151Z x = self.forward_features(x) 2025-09-07T07:59:40.8451492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8451846Z x = self.blocks(x) 2025-09-07T07:59:40.8452151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8452483Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8452785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8453141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8453500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8453854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8454013Z 2025-09-07T07:59:40.8454115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8454453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8454768Z return mod(*inputs) 2025-09-07T07:59:40.8455066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8455387Z x = self.forward_features(x) 2025-09-07T07:59:40.8455728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8456071Z x = self.blocks(x) 2025-09-07T07:59:40.8456389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8456718Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8457030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8457385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8457741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8458100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8458257Z 2025-09-07T07:59:40.8458357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8458701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8459012Z return mod(*inputs) 2025-09-07T07:59:40.8459315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8459635Z x = self.forward_features(x) 2025-09-07T07:59:40.8459974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8460332Z x = self.blocks(x) 2025-09-07T07:59:40.8460676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8461047Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8461353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8461710Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8462081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8462444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8462598Z 2025-09-07T07:59:40.8462707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8463053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8463365Z return mod(*inputs) 2025-09-07T07:59:40.8463679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8464019Z x = self.forward_features(x) 2025-09-07T07:59:40.8464357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8464747Z x = self.blocks(x) 2025-09-07T07:59:40.8465065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8465401Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8465705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8466046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8466403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8466758Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8466915Z 2025-09-07T07:59:40.8467008Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8467213Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8467448Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8467800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8468110Z return mod(*inputs) 2025-09-07T07:59:40.8468420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8468742Z x = self.forward_features(x) 2025-09-07T07:59:40.8469087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8469429Z x = self.blocks(x) 2025-09-07T07:59:40.8469744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8470072Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8470379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8470700Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8470810Z 2025-09-07T07:59:40.8470926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8471275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8471590Z return mod(*inputs) 2025-09-07T07:59:40.8471896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8472221Z x = self.forward_features(x) 2025-09-07T07:59:40.8472566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8472903Z x = self.blocks(x) 2025-09-07T07:59:40.8473238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:59:40.8473614Z x = self.bn3(x) 2025-09-07T07:59:40.8473909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8474215Z x = F.batch_norm( 2025-09-07T07:59:40.8474309Z 2025-09-07T07:59:40.8474406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8474743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8475045Z return mod(*inputs) 2025-09-07T07:59:40.8475347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8475663Z x = self.forward_features(x) 2025-09-07T07:59:40.8476001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8476339Z x = self.blocks(x) 2025-09-07T07:59:40.8476653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8476985Z x = self.conv_pw(x) 2025-09-07T07:59:40.8477272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8477642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8477998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8478354Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8478503Z 2025-09-07T07:59:40.8478608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8478940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8479247Z return mod(*inputs) 2025-09-07T07:59:40.8479553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8479884Z x = self.forward_features(x) 2025-09-07T07:59:40.8480211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8480553Z x = self.blocks(x) 2025-09-07T07:59:40.8480865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8481195Z x = self.conv_pw(x) 2025-09-07T07:59:40.8481488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8481878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8482235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8482594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8482744Z 2025-09-07T07:59:40.8482854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8483190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8483505Z return mod(*inputs) 2025-09-07T07:59:40.8483810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8484143Z x = self.forward_features(x) 2025-09-07T07:59:40.8484486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8484824Z x = self.blocks(x) 2025-09-07T07:59:40.8485142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8485480Z x = self.conv_pw(x) 2025-09-07T07:59:40.8485777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8486665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8487074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8487437Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8487589Z 2025-09-07T07:59:40.8487701Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8488046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8488349Z return mod(*inputs) 2025-09-07T07:59:40.8488653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8488982Z x = self.forward_features(x) 2025-09-07T07:59:40.8489319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8489657Z x = self.blocks(x) 2025-09-07T07:59:40.8489965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8490296Z x = self.conv_pw(x) 2025-09-07T07:59:40.8490594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8490973Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8491322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8491679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8491830Z 2025-09-07T07:59:40.8491913Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8492125Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8492357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8492689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8493000Z return mod(*inputs) 2025-09-07T07:59:40.8493306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8493634Z x = self.forward_features(x) 2025-09-07T07:59:40.8493967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8494307Z x = self.blocks(x) 2025-09-07T07:59:40.8494619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8494949Z x = self.conv_pw(x) 2025-09-07T07:59:40.8495244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8495551Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8495664Z 2025-09-07T07:59:40.8495762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8496104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8496408Z return mod(*inputs) 2025-09-07T07:59:40.8496700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8497024Z x = self.forward_features(x) 2025-09-07T07:59:40.8497366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8497701Z x = self.blocks(x) 2025-09-07T07:59:40.8498012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.8498330Z x = self.bn1(x) 2025-09-07T07:59:40.8498614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8498922Z x = self.act(x) 2025-09-07T07:59:40.8499013Z 2025-09-07T07:59:40.8499122Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8499470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8499802Z return mod(*inputs) 2025-09-07T07:59:40.8500106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8500433Z x = self.forward_features(x) 2025-09-07T07:59:40.8500773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8501109Z x = self.blocks(x) 2025-09-07T07:59:40.8501423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8501749Z x = self.bn2(x) 2025-09-07T07:59:40.8502042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8502339Z x = self.act(x) 2025-09-07T07:59:40.8502441Z 2025-09-07T07:59:40.8502541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8502882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8503186Z return mod(*inputs) 2025-09-07T07:59:40.8503484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8503831Z x = self.forward_features(x) 2025-09-07T07:59:40.8504174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8504517Z x = self.blocks(x) 2025-09-07T07:59:40.8504832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8505159Z x = self.bn2(x) 2025-09-07T07:59:40.8505444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8505753Z x = self.act(x) 2025-09-07T07:59:40.8505842Z 2025-09-07T07:59:40.8505949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8506294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8506599Z return mod(*inputs) 2025-09-07T07:59:40.8506906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8507236Z x = self.forward_features(x) 2025-09-07T07:59:40.8507578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8507912Z x = self.blocks(x) 2025-09-07T07:59:40.8508228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8508564Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8508871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8509231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8509592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8509959Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8510117Z 2025-09-07T07:59:40.8510219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8510558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8510856Z return mod(*inputs) 2025-09-07T07:59:40.8511158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8511483Z x = self.forward_features(x) 2025-09-07T07:59:40.8511829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8512186Z x = self.blocks(x) 2025-09-07T07:59:40.8512519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8512851Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8513151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8513500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8513845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8514196Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8514351Z 2025-09-07T07:59:40.8514450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8514790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8515098Z return mod(*inputs) 2025-09-07T07:59:40.8515395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8515720Z x = self.forward_features(x) 2025-09-07T07:59:40.8516059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8516396Z x = self.blocks(x) 2025-09-07T07:59:40.8516717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8517048Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8517345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8517693Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8518048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8518393Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8518549Z 2025-09-07T07:59:40.8518650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8518992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8519302Z return mod(*inputs) 2025-09-07T07:59:40.8519603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8519923Z x = self.forward_features(x) 2025-09-07T07:59:40.8520264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8520602Z x = self.blocks(x) 2025-09-07T07:59:40.8520915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8521240Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8521542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8521896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8522253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8522617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8522763Z 2025-09-07T07:59:40.8522841Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8523050Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8523279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8523616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8523914Z return mod(*inputs) 2025-09-07T07:59:40.8524215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8524541Z x = self.forward_features(x) 2025-09-07T07:59:40.8524876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8525243Z x = self.blocks(x) 2025-09-07T07:59:40.8525580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8525914Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8526218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8526534Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8526641Z 2025-09-07T07:59:40.8526739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8527075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8527386Z return mod(*inputs) 2025-09-07T07:59:40.8527686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8528010Z x = self.forward_features(x) 2025-09-07T07:59:40.8528344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8528679Z x = self.blocks(x) 2025-09-07T07:59:40.8528992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.8529350Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.8529470Z 2025-09-07T07:59:40.8529568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8529902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8530208Z return mod(*inputs) 2025-09-07T07:59:40.8530505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8530830Z x = self.forward_features(x) 2025-09-07T07:59:40.8531156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8531495Z x = self.blocks(x) 2025-09-07T07:59:40.8531810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.8532136Z x = self.bn1(x) 2025-09-07T07:59:40.8532408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8532712Z x = self.act(x) 2025-09-07T07:59:40.8532811Z 2025-09-07T07:59:40.8532911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8533248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8533551Z return mod(*inputs) 2025-09-07T07:59:40.8533841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8534162Z x = self.forward_features(x) 2025-09-07T07:59:40.8534498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8534834Z x = self.blocks(x) 2025-09-07T07:59:40.8535139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.8535467Z x = self.bn1(x) 2025-09-07T07:59:40.8535754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8536053Z x = self.act(x) 2025-09-07T07:59:40.8536142Z 2025-09-07T07:59:40.8536250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8536576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8536876Z return mod(*inputs) 2025-09-07T07:59:40.8537180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8537502Z x = self.forward_features(x) 2025-09-07T07:59:40.8537851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8538215Z x = self.blocks(x) 2025-09-07T07:59:40.8538528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8538856Z x = self.conv_dw(x) 2025-09-07T07:59:40.8539151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8539498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8539855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8540215Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8540364Z 2025-09-07T07:59:40.8540470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8540796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8541104Z return mod(*inputs) 2025-09-07T07:59:40.8541407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8541734Z x = self.forward_features(x) 2025-09-07T07:59:40.8542089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8542424Z x = self.blocks(x) 2025-09-07T07:59:40.8542737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8543076Z x = self.conv_dw(x) 2025-09-07T07:59:40.8543379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8543725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8544087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8544453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8544613Z 2025-09-07T07:59:40.8544714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8545057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8545362Z return mod(*inputs) 2025-09-07T07:59:40.8545669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8546001Z x = self.forward_features(x) 2025-09-07T07:59:40.8546340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8546681Z x = self.blocks(x) 2025-09-07T07:59:40.8546992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8547333Z x = self.conv_dw(x) 2025-09-07T07:59:40.8547634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8547985Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8548340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8548700Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8548857Z 2025-09-07T07:59:40.8548960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8549297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8549605Z return mod(*inputs) 2025-09-07T07:59:40.8549899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8550227Z x = self.forward_features(x) 2025-09-07T07:59:40.8550575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8550936Z x = self.blocks(x) 2025-09-07T07:59:40.8551245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8551582Z x = self.conv_dw(x) 2025-09-07T07:59:40.8551874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8552224Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8552579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8552924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8553079Z 2025-09-07T07:59:40.8553181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8553522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8553831Z return mod(*inputs) 2025-09-07T07:59:40.8554134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8554451Z x = self.forward_features(x) 2025-09-07T07:59:40.8554785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8555140Z x = self.blocks(x) 2025-09-07T07:59:40.8555459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8555787Z x = self.conv_dw(x) 2025-09-07T07:59:40.8556083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8556429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8556783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8557140Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8557294Z 2025-09-07T07:59:40.8557394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8557736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8558045Z return mod(*inputs) 2025-09-07T07:59:40.8558352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8558672Z x = self.forward_features(x) 2025-09-07T07:59:40.8559012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8559355Z x = self.blocks(x) 2025-09-07T07:59:40.8559676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8560013Z x = self.conv_dw(x) 2025-09-07T07:59:40.8560311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8560662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8561021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8561376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8561522Z 2025-09-07T07:59:40.8561630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8561963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8562271Z return mod(*inputs) 2025-09-07T07:59:40.8562576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8562901Z x = self.forward_features(x) 2025-09-07T07:59:40.8563248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8563589Z x = self.blocks(x) 2025-09-07T07:59:40.8563931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8564269Z x = self.conv_dw(x) 2025-09-07T07:59:40.8564568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8564913Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8565269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8565623Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8565772Z 2025-09-07T07:59:40.8566679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8567018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8567319Z return mod(*inputs) 2025-09-07T07:59:40.8567626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8567958Z x = self.forward_features(x) 2025-09-07T07:59:40.8568301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8568660Z x = self.blocks(x) 2025-09-07T07:59:40.8568971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8569299Z x = self.conv_dw(x) 2025-09-07T07:59:40.8569591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8569937Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8570283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8570639Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8570795Z 2025-09-07T07:59:40.8570877Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8571090Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8571292Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8571497Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8571725Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8572063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8572363Z return mod(*inputs) 2025-09-07T07:59:40.8572667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8572994Z x = self.forward_features(x) 2025-09-07T07:59:40.8573332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8573671Z x = self.blocks(x) 2025-09-07T07:59:40.8573981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8574319Z x = self.conv_dw(x) 2025-09-07T07:59:40.8574617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8574940Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8575049Z 2025-09-07T07:59:40.8575151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8575488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8575790Z return mod(*inputs) 2025-09-07T07:59:40.8576090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8576414Z x = self.forward_features(x) 2025-09-07T07:59:40.8576741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8577098Z x = self.blocks(x) 2025-09-07T07:59:40.8577443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8577773Z x = self.bn2(x) 2025-09-07T07:59:40.8578053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8578361Z x = F.batch_norm( 2025-09-07T07:59:40.8578462Z 2025-09-07T07:59:40.8578562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8578901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8579208Z return mod(*inputs) 2025-09-07T07:59:40.8579503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8579829Z x = self.forward_features(x) 2025-09-07T07:59:40.8580172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8580512Z x = self.blocks(x) 2025-09-07T07:59:40.8580816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8581167Z x = self.bn2(x) 2025-09-07T07:59:40.8581452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8581796Z x = self.act(x) 2025-09-07T07:59:40.8581887Z 2025-09-07T07:59:40.8581997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8582331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8582645Z return mod(*inputs) 2025-09-07T07:59:40.8582955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8583291Z x = self.forward_features(x) 2025-09-07T07:59:40.8583635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8583987Z x = self.blocks(x) 2025-09-07T07:59:40.8584307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8584642Z x = self.se(x) 2025-09-07T07:59:40.8584954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8585291Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8585409Z 2025-09-07T07:59:40.8585510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8585855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8586169Z return mod(*inputs) 2025-09-07T07:59:40.8586467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8586801Z x = self.forward_features(x) 2025-09-07T07:59:40.8587148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8587493Z x = self.blocks(x) 2025-09-07T07:59:40.8587813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8588145Z x = self.se(x) 2025-09-07T07:59:40.8588456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8588801Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8588908Z 2025-09-07T07:59:40.8589020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8589358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8589668Z return mod(*inputs) 2025-09-07T07:59:40.8590011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8590380Z x = self.forward_features(x) 2025-09-07T07:59:40.8590722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8591054Z x = self.blocks(x) 2025-09-07T07:59:40.8591368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8591693Z x = self.se(x) 2025-09-07T07:59:40.8592002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8592331Z return x * self.gate(x_se) 2025-09-07T07:59:40.8592453Z 2025-09-07T07:59:40.8592553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8592893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8593203Z return mod(*inputs) 2025-09-07T07:59:40.8593505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8593819Z x = self.forward_features(x) 2025-09-07T07:59:40.8594154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8594519Z x = self.blocks(x) 2025-09-07T07:59:40.8594833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8595156Z x = self.se(x) 2025-09-07T07:59:40.8595459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8595796Z return x * self.gate(x_se) 2025-09-07T07:59:40.8595906Z 2025-09-07T07:59:40.8596012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8596354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8596655Z return mod(*inputs) 2025-09-07T07:59:40.8596962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8597291Z x = self.forward_features(x) 2025-09-07T07:59:40.8597628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8597964Z x = self.blocks(x) 2025-09-07T07:59:40.8598275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8598605Z x = self.se(x) 2025-09-07T07:59:40.8598911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8599250Z return x * self.gate(x_se) 2025-09-07T07:59:40.8599359Z 2025-09-07T07:59:40.8599459Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8599805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8600112Z return mod(*inputs) 2025-09-07T07:59:40.8600417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8600739Z x = self.forward_features(x) 2025-09-07T07:59:40.8601080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8601418Z x = self.blocks(x) 2025-09-07T07:59:40.8601735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8602072Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8602178Z 2025-09-07T07:59:40.8602277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8602620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8602944Z return mod(*inputs) 2025-09-07T07:59:40.8603278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8603606Z x = self.forward_features(x) 2025-09-07T07:59:40.8603933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8604272Z x = self.blocks(x) 2025-09-07T07:59:40.8604582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8604914Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8605018Z 2025-09-07T07:59:40.8605119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8605459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8605764Z return mod(*inputs) 2025-09-07T07:59:40.8606063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8606389Z x = self.forward_features(x) 2025-09-07T07:59:40.8606721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8607061Z x = self.blocks(x) 2025-09-07T07:59:40.8607395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8607723Z x = self.conv_pw(x) 2025-09-07T07:59:40.8608012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8608367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8608728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8609088Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8609239Z 2025-09-07T07:59:40.8609347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8609682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8609987Z return mod(*inputs) 2025-09-07T07:59:40.8610286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8610613Z x = self.forward_features(x) 2025-09-07T07:59:40.8610945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8611284Z x = self.blocks(x) 2025-09-07T07:59:40.8611597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8611929Z x = self.conv_pw(x) 2025-09-07T07:59:40.8612224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8612569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8612926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8613287Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8613436Z 2025-09-07T07:59:40.8613547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8613887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8614183Z return mod(*inputs) 2025-09-07T07:59:40.8614485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8614814Z x = self.forward_features(x) 2025-09-07T07:59:40.8615148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8615477Z x = self.blocks(x) 2025-09-07T07:59:40.8615811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8616183Z x = self.conv_pw(x) 2025-09-07T07:59:40.8616481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8616838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8617190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8617560Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8617708Z 2025-09-07T07:59:40.8617815Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8618155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8618457Z return mod(*inputs) 2025-09-07T07:59:40.8618764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8619097Z x = self.forward_features(x) 2025-09-07T07:59:40.8619442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8619789Z x = self.blocks(x) 2025-09-07T07:59:40.8620099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8620450Z x = self.conv_pw(x) 2025-09-07T07:59:40.8620748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8621100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8621452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8621811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8621968Z 2025-09-07T07:59:40.8622051Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8622263Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8622494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8622824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8623136Z return mod(*inputs) 2025-09-07T07:59:40.8623439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8623764Z x = self.forward_features(x) 2025-09-07T07:59:40.8624095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8624433Z x = self.blocks(x) 2025-09-07T07:59:40.8624744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8625073Z x = self.conv_pw(x) 2025-09-07T07:59:40.8625366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8625677Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8625792Z 2025-09-07T07:59:40.8625890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8626232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8626540Z return mod(*inputs) 2025-09-07T07:59:40.8626832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8627164Z x = self.forward_features(x) 2025-09-07T07:59:40.8627504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8627842Z x = self.blocks(x) 2025-09-07T07:59:40.8628156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8628497Z x = self.conv_dw(x) 2025-09-07T07:59:40.8628796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8629179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8629542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8629900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8630058Z 2025-09-07T07:59:40.8630160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8630505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8630817Z return mod(*inputs) 2025-09-07T07:59:40.8631130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8631450Z x = self.forward_features(x) 2025-09-07T07:59:40.8631795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8632144Z x = self.blocks(x) 2025-09-07T07:59:40.8632462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8632792Z x = self.conv_dw(x) 2025-09-07T07:59:40.8633105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8633457Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8633815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8634170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8634317Z 2025-09-07T07:59:40.8634416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8634751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8635060Z return mod(*inputs) 2025-09-07T07:59:40.8635370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8635698Z x = self.forward_features(x) 2025-09-07T07:59:40.8636027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8636369Z x = self.blocks(x) 2025-09-07T07:59:40.8636682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8637013Z x = self.conv_dw(x) 2025-09-07T07:59:40.8637299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8637648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8638003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8638358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8638505Z 2025-09-07T07:59:40.8638614Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8638943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8639248Z return mod(*inputs) 2025-09-07T07:59:40.8639549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8639869Z x = self.forward_features(x) 2025-09-07T07:59:40.8640199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8640534Z x = self.blocks(x) 2025-09-07T07:59:40.8640847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8641176Z x = self.conv_dw(x) 2025-09-07T07:59:40.8641487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8641851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8642207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8642564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8642714Z 2025-09-07T07:59:40.8642801Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8643007Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8643237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8643580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8643889Z return mod(*inputs) 2025-09-07T07:59:40.8644194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8644514Z x = self.forward_features(x) 2025-09-07T07:59:40.8644862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8645206Z x = self.blocks(x) 2025-09-07T07:59:40.8645520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8645858Z x = self.conv_dw(x) 2025-09-07T07:59:40.8646153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8646472Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8646580Z 2025-09-07T07:59:40.8646689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8647031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8647328Z return mod(*inputs) 2025-09-07T07:59:40.8647628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8647955Z x = self.forward_features(x) 2025-09-07T07:59:40.8648298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8648627Z x = self.blocks(x) 2025-09-07T07:59:40.8648941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8649270Z x = self.bn2(x) 2025-09-07T07:59:40.8649554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8649864Z x = F.batch_norm( 2025-09-07T07:59:40.8649959Z 2025-09-07T07:59:40.8650057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8650396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8650699Z return mod(*inputs) 2025-09-07T07:59:40.8651001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8651318Z x = self.forward_features(x) 2025-09-07T07:59:40.8651656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8651995Z x = self.blocks(x) 2025-09-07T07:59:40.8652307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8652631Z x = self.bn2(x) 2025-09-07T07:59:40.8652905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8653214Z x = self.act(x) 2025-09-07T07:59:40.8653307Z 2025-09-07T07:59:40.8653406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8653740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8654055Z return mod(*inputs) 2025-09-07T07:59:40.8654387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8654713Z x = self.forward_features(x) 2025-09-07T07:59:40.8655051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8655389Z x = self.blocks(x) 2025-09-07T07:59:40.8655693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8656017Z x = self.se(x) 2025-09-07T07:59:40.8656321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8656655Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8656759Z 2025-09-07T07:59:40.8656858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8657194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8657501Z return mod(*inputs) 2025-09-07T07:59:40.8657803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8658128Z x = self.forward_features(x) 2025-09-07T07:59:40.8658460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8658815Z x = self.blocks(x) 2025-09-07T07:59:40.8659127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8659453Z x = self.se(x) 2025-09-07T07:59:40.8659750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8660087Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8660201Z 2025-09-07T07:59:40.8660300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8660645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8660954Z return mod(*inputs) 2025-09-07T07:59:40.8661248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8661571Z x = self.forward_features(x) 2025-09-07T07:59:40.8661910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8662250Z x = self.blocks(x) 2025-09-07T07:59:40.8662555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8662880Z x = self.se(x) 2025-09-07T07:59:40.8663183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8663522Z return x * self.gate(x_se) 2025-09-07T07:59:40.8663634Z 2025-09-07T07:59:40.8663744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8664079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8664387Z return mod(*inputs) 2025-09-07T07:59:40.8664693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8665020Z x = self.forward_features(x) 2025-09-07T07:59:40.8665347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8665684Z x = self.blocks(x) 2025-09-07T07:59:40.8665996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8666328Z x = self.se(x) 2025-09-07T07:59:40.8666627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8666969Z return x * self.gate(x_se) 2025-09-07T07:59:40.8667088Z 2025-09-07T07:59:40.8667188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8667592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8667898Z return mod(*inputs) 2025-09-07T07:59:40.8668192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8668519Z x = self.forward_features(x) 2025-09-07T07:59:40.8668858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8669195Z x = self.blocks(x) 2025-09-07T07:59:40.8669503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8669818Z x = self.se(x) 2025-09-07T07:59:40.8670125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8670463Z return x * self.gate(x_se) 2025-09-07T07:59:40.8670573Z 2025-09-07T07:59:40.8670662Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8670886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8671227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8671547Z return mod(*inputs) 2025-09-07T07:59:40.8671854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8672180Z x = self.forward_features(x) 2025-09-07T07:59:40.8672506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8672841Z x = self.blocks(x) 2025-09-07T07:59:40.8673153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8673485Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8673780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8674136Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8674498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8674862Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8675010Z 2025-09-07T07:59:40.8675129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8675464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8675775Z return mod(*inputs) 2025-09-07T07:59:40.8676075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8676397Z x = self.forward_features(x) 2025-09-07T07:59:40.8676736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8677071Z x = self.blocks(x) 2025-09-07T07:59:40.8677382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8677716Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8678021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8678365Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8678721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8679078Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8679224Z 2025-09-07T07:59:40.8679311Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8679540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8679894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8680232Z return mod(*inputs) 2025-09-07T07:59:40.8680544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8680866Z x = self.forward_features(x) 2025-09-07T07:59:40.8681199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8681540Z x = self.blocks(x) 2025-09-07T07:59:40.8681884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8682213Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8682517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8682858Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8683222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8683581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8683731Z 2025-09-07T07:59:40.8683840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8684206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8684510Z return mod(*inputs) 2025-09-07T07:59:40.8684809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8685131Z x = self.forward_features(x) 2025-09-07T07:59:40.8685467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8685799Z x = self.blocks(x) 2025-09-07T07:59:40.8686111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8686450Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8686758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8687098Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8687454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8687816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8687963Z 2025-09-07T07:59:40.8688056Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8688266Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8688490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8688832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8689136Z return mod(*inputs) 2025-09-07T07:59:40.8689441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8689757Z x = self.forward_features(x) 2025-09-07T07:59:40.8690101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8690438Z x = self.blocks(x) 2025-09-07T07:59:40.8690755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8691090Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8691387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8691700Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8691815Z 2025-09-07T07:59:40.8691914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8692251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8692581Z return mod(*inputs) 2025-09-07T07:59:40.8692887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8693259Z x = self.forward_features(x) 2025-09-07T07:59:40.8693604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8693950Z x = self.blocks(x) 2025-09-07T07:59:40.8694259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.8694605Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.8694737Z 2025-09-07T07:59:40.8694836Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8695178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8695484Z return mod(*inputs) 2025-09-07T07:59:40.8695782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8696109Z x = self.forward_features(x) 2025-09-07T07:59:40.8696454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8696791Z x = self.blocks(x) 2025-09-07T07:59:40.8697097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8697445Z x = self.conv_pw(x) 2025-09-07T07:59:40.8697741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8698092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8698454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8698803Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8698960Z 2025-09-07T07:59:40.8699061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8699399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8699706Z return mod(*inputs) 2025-09-07T07:59:40.8700003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8700328Z x = self.forward_features(x) 2025-09-07T07:59:40.8700664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8701010Z x = self.blocks(x) 2025-09-07T07:59:40.8701332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8701664Z x = self.conv_pw(x) 2025-09-07T07:59:40.8701967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8702327Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8702701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8703064Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8703226Z 2025-09-07T07:59:40.8703328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8703678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8703998Z return mod(*inputs) 2025-09-07T07:59:40.8704312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8704641Z x = self.forward_features(x) 2025-09-07T07:59:40.8704876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8704941Z x = self.blocks(x) 2025-09-07T07:59:40.8705166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8705248Z x = self.conv_pw(x) 2025-09-07T07:59:40.8705482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8705596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8705809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8705919Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8705922Z 2025-09-07T07:59:40.8706027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8706227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8706294Z return mod(*inputs) 2025-09-07T07:59:40.8706498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8706581Z x = self.forward_features(x) 2025-09-07T07:59:40.8706813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8706886Z x = self.blocks(x) 2025-09-07T07:59:40.8707102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8707181Z x = self.conv_pw(x) 2025-09-07T07:59:40.8707389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8707491Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8707703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8707803Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8707807Z 2025-09-07T07:59:40.8707892Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8707978Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8708084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8708279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8708344Z return mod(*inputs) 2025-09-07T07:59:40.8708551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8708630Z x = self.forward_features(x) 2025-09-07T07:59:40.8708858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8708931Z x = self.blocks(x) 2025-09-07T07:59:40.8709146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8709220Z x = self.conv_pw(x) 2025-09-07T07:59:40.8709417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8709489Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8709492Z 2025-09-07T07:59:40.8709602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8709792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8709864Z return mod(*inputs) 2025-09-07T07:59:40.8710067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8710139Z x = self.forward_features(x) 2025-09-07T07:59:40.8710372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8710436Z x = self.blocks(x) 2025-09-07T07:59:40.8710659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8710724Z x = self.conv_dw(x) 2025-09-07T07:59:40.8710951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8711085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8711291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8711400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8711404Z 2025-09-07T07:59:40.8711505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8711700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8711765Z return mod(*inputs) 2025-09-07T07:59:40.8711965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8712042Z x = self.forward_features(x) 2025-09-07T07:59:40.8712262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8712335Z x = self.blocks(x) 2025-09-07T07:59:40.8712552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8712617Z x = self.conv_dw(x) 2025-09-07T07:59:40.8712837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8712935Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8713144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8713243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8713246Z 2025-09-07T07:59:40.8713348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8713544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8713611Z return mod(*inputs) 2025-09-07T07:59:40.8713822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8713894Z x = self.forward_features(x) 2025-09-07T07:59:40.8714115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8714188Z x = self.blocks(x) 2025-09-07T07:59:40.8714402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8714475Z x = self.conv_dw(x) 2025-09-07T07:59:40.8714670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8714782Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8714986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8715087Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8715090Z 2025-09-07T07:59:40.8715199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8715387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8715460Z return mod(*inputs) 2025-09-07T07:59:40.8715659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8715729Z x = self.forward_features(x) 2025-09-07T07:59:40.8715958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8716021Z x = self.blocks(x) 2025-09-07T07:59:40.8716241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8716304Z x = self.conv_dw(x) 2025-09-07T07:59:40.8716515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8716648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8716856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8716966Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8716969Z 2025-09-07T07:59:40.8717050Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8717135Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8717237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8717430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8717502Z return mod(*inputs) 2025-09-07T07:59:40.8717703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8717781Z x = self.forward_features(x) 2025-09-07T07:59:40.8718008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8718072Z x = self.blocks(x) 2025-09-07T07:59:40.8718298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8718378Z x = self.conv_dw(x) 2025-09-07T07:59:40.8718585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8718654Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8718657Z 2025-09-07T07:59:40.8718758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8718954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8719019Z return mod(*inputs) 2025-09-07T07:59:40.8719227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8719299Z x = self.forward_features(x) 2025-09-07T07:59:40.8719529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8719601Z x = self.blocks(x) 2025-09-07T07:59:40.8719818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8719891Z x = self.bn2(x) 2025-09-07T07:59:40.8720085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8720157Z x = F.batch_norm( 2025-09-07T07:59:40.8720160Z 2025-09-07T07:59:40.8720260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8720450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8720524Z return mod(*inputs) 2025-09-07T07:59:40.8720727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8720807Z x = self.forward_features(x) 2025-09-07T07:59:40.8721033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8721100Z x = self.blocks(x) 2025-09-07T07:59:40.8721324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8721386Z x = self.bn2(x) 2025-09-07T07:59:40.8721586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8721649Z x = self.act(x) 2025-09-07T07:59:40.8721652Z 2025-09-07T07:59:40.8721752Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8721950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8722031Z return mod(*inputs) 2025-09-07T07:59:40.8722240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8722335Z x = self.forward_features(x) 2025-09-07T07:59:40.8722557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8722630Z x = self.blocks(x) 2025-09-07T07:59:40.8722845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8722915Z x = self.se(x) 2025-09-07T07:59:40.8723128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8723203Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8723206Z 2025-09-07T07:59:40.8723306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8723493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8723567Z return mod(*inputs) 2025-09-07T07:59:40.8723773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8723852Z x = self.forward_features(x) 2025-09-07T07:59:40.8724072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8724151Z x = self.blocks(x) 2025-09-07T07:59:40.8724375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8724436Z x = self.se(x) 2025-09-07T07:59:40.8724656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8724724Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8724727Z 2025-09-07T07:59:40.8724827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8725025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8725090Z return mod(*inputs) 2025-09-07T07:59:40.8725297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8725368Z x = self.forward_features(x) 2025-09-07T07:59:40.8725601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8725666Z x = self.blocks(x) 2025-09-07T07:59:40.8725884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8725952Z x = self.se(x) 2025-09-07T07:59:40.8726168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8726246Z return x * self.gate(x_se) 2025-09-07T07:59:40.8726249Z 2025-09-07T07:59:40.8726350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8726542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8726620Z return mod(*inputs) 2025-09-07T07:59:40.8726826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8726905Z x = self.forward_features(x) 2025-09-07T07:59:40.8727128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8727192Z x = self.blocks(x) 2025-09-07T07:59:40.8727415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8727479Z x = self.se(x) 2025-09-07T07:59:40.8727698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8727770Z return x * self.gate(x_se) 2025-09-07T07:59:40.8727791Z 2025-09-07T07:59:40.8727894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8728119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8728186Z return mod(*inputs) 2025-09-07T07:59:40.8728399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8728471Z x = self.forward_features(x) 2025-09-07T07:59:40.8728699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8728764Z x = self.blocks(x) 2025-09-07T07:59:40.8728979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8729050Z x = self.se(x) 2025-09-07T07:59:40.8729264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8729343Z return x * self.gate(x_se) 2025-09-07T07:59:40.8729346Z 2025-09-07T07:59:40.8729448Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8729640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8729714Z return mod(*inputs) 2025-09-07T07:59:40.8729936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8730021Z x = self.forward_features(x) 2025-09-07T07:59:40.8730242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8730306Z x = self.blocks(x) 2025-09-07T07:59:40.8730533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8730602Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8730809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8730916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8731123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8731235Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8731239Z 2025-09-07T07:59:40.8731339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8731537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8731601Z return mod(*inputs) 2025-09-07T07:59:40.8731808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8731879Z x = self.forward_features(x) 2025-09-07T07:59:40.8732100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8732173Z x = self.blocks(x) 2025-09-07T07:59:40.8732386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8732463Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8732658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8732759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8732973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8733071Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8733074Z 2025-09-07T07:59:40.8733179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8733365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8733437Z return mod(*inputs) 2025-09-07T07:59:40.8733654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8734242Z x = self.forward_features(x) 2025-09-07T07:59:40.8734476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8734543Z x = self.blocks(x) 2025-09-07T07:59:40.8734765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8734835Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8735032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8735143Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8735348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8735458Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8735461Z 2025-09-07T07:59:40.8735562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8735756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8735834Z return mod(*inputs) 2025-09-07T07:59:40.8736054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8736136Z x = self.forward_features(x) 2025-09-07T07:59:40.8736362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8736429Z x = self.blocks(x) 2025-09-07T07:59:40.8736652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8736719Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8736922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8737023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8737239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8737339Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8737344Z 2025-09-07T07:59:40.8737426Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8737515Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8737617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8737814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8737881Z return mod(*inputs) 2025-09-07T07:59:40.8738083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8738160Z x = self.forward_features(x) 2025-09-07T07:59:40.8738386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8738459Z x = self.blocks(x) 2025-09-07T07:59:40.8738675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8738743Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8738952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8739020Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8739023Z 2025-09-07T07:59:40.8739130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8739318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8739388Z return mod(*inputs) 2025-09-07T07:59:40.8739590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8739675Z x = self.forward_features(x) 2025-09-07T07:59:40.8739935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8740001Z x = self.blocks(x) 2025-09-07T07:59:40.8740237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.8740310Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.8740313Z 2025-09-07T07:59:40.8740411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8740605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8740668Z return mod(*inputs) 2025-09-07T07:59:40.8740871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8740939Z x = self.forward_features(x) 2025-09-07T07:59:40.8741156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8741231Z x = self.blocks(x) 2025-09-07T07:59:40.8741445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8741517Z x = self.conv_pw(x) 2025-09-07T07:59:40.8741726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8741829Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8742038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8742138Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8742141Z 2025-09-07T07:59:40.8742248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8742434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8742510Z return mod(*inputs) 2025-09-07T07:59:40.8742711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8742781Z x = self.forward_features(x) 2025-09-07T07:59:40.8743007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8743072Z x = self.blocks(x) 2025-09-07T07:59:40.8743293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8743356Z x = self.conv_pw(x) 2025-09-07T07:59:40.8743549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8743656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8743856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8743963Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8743966Z 2025-09-07T07:59:40.8744066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8744261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8744326Z return mod(*inputs) 2025-09-07T07:59:40.8744522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8744598Z x = self.forward_features(x) 2025-09-07T07:59:40.8744817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8744888Z x = self.blocks(x) 2025-09-07T07:59:40.8745100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8745163Z x = self.conv_pw(x) 2025-09-07T07:59:40.8745376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8745501Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8745711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8745810Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8745813Z 2025-09-07T07:59:40.8745910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8746103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8746166Z return mod(*inputs) 2025-09-07T07:59:40.8746368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8746437Z x = self.forward_features(x) 2025-09-07T07:59:40.8746652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8746725Z x = self.blocks(x) 2025-09-07T07:59:40.8746935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8747007Z x = self.conv_pw(x) 2025-09-07T07:59:40.8747212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8747319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8747518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8747614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8747617Z 2025-09-07T07:59:40.8747703Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8747781Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8747890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8748074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8748141Z return mod(*inputs) 2025-09-07T07:59:40.8748347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8748416Z x = self.forward_features(x) 2025-09-07T07:59:40.8748640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8748702Z x = self.blocks(x) 2025-09-07T07:59:40.8748914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8748985Z x = self.conv_pw(x) 2025-09-07T07:59:40.8749176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8749250Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8749255Z 2025-09-07T07:59:40.8749353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8749546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8749613Z return mod(*inputs) 2025-09-07T07:59:40.8749806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8749884Z x = self.forward_features(x) 2025-09-07T07:59:40.8750099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8750173Z x = self.blocks(x) 2025-09-07T07:59:40.8750380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8750445Z x = self.conv_dw(x) 2025-09-07T07:59:40.8750643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8750757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8751000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8751100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8751103Z 2025-09-07T07:59:40.8751203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8751400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8751462Z return mod(*inputs) 2025-09-07T07:59:40.8751666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8751736Z x = self.forward_features(x) 2025-09-07T07:59:40.8751950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8752018Z x = self.blocks(x) 2025-09-07T07:59:40.8752230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8752303Z x = self.conv_dw(x) 2025-09-07T07:59:40.8752495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8752601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8752816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8752913Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8752916Z 2025-09-07T07:59:40.8753021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8753203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8753274Z return mod(*inputs) 2025-09-07T07:59:40.8753469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8753539Z x = self.forward_features(x) 2025-09-07T07:59:40.8753768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8753829Z x = self.blocks(x) 2025-09-07T07:59:40.8754043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8754109Z x = self.conv_dw(x) 2025-09-07T07:59:40.8754302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8754405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8754604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8754708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8754711Z 2025-09-07T07:59:40.8754812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8755012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8755079Z return mod(*inputs) 2025-09-07T07:59:40.8755276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8755355Z x = self.forward_features(x) 2025-09-07T07:59:40.8755572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8755644Z x = self.blocks(x) 2025-09-07T07:59:40.8755852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8755914Z x = self.conv_dw(x) 2025-09-07T07:59:40.8756114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8756226Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8756465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8756564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8756567Z 2025-09-07T07:59:40.8756653Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8756731Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8756829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8757019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8757083Z return mod(*inputs) 2025-09-07T07:59:40.8757287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8757354Z x = self.forward_features(x) 2025-09-07T07:59:40.8757571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8757645Z x = self.blocks(x) 2025-09-07T07:59:40.8757860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8757930Z x = self.conv_dw(x) 2025-09-07T07:59:40.8758123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8758202Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8758205Z 2025-09-07T07:59:40.8758312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8758500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8758573Z return mod(*inputs) 2025-09-07T07:59:40.8758776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8758846Z x = self.forward_features(x) 2025-09-07T07:59:40.8759074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8788549Z x = self.blocks(x) 2025-09-07T07:59:40.8788951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8789029Z x = self.bn2(x) 2025-09-07T07:59:40.8789260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8789334Z x = F.batch_norm( 2025-09-07T07:59:40.8789339Z 2025-09-07T07:59:40.8789469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8789676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8789756Z return mod(*inputs) 2025-09-07T07:59:40.8789975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8790054Z x = self.forward_features(x) 2025-09-07T07:59:40.8790308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8790382Z x = self.blocks(x) 2025-09-07T07:59:40.8790613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8790677Z x = self.bn2(x) 2025-09-07T07:59:40.8790880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8790951Z x = self.act(x) 2025-09-07T07:59:40.8790955Z 2025-09-07T07:59:40.8791065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8791275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8791344Z return mod(*inputs) 2025-09-07T07:59:40.8791553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8791735Z x = self.forward_features(x) 2025-09-07T07:59:40.8792045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8792122Z x = self.blocks(x) 2025-09-07T07:59:40.8792351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8792419Z x = self.se(x) 2025-09-07T07:59:40.8792652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8792728Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8792731Z 2025-09-07T07:59:40.8792849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8793044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8793122Z return mod(*inputs) 2025-09-07T07:59:40.8793331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8793408Z x = self.forward_features(x) 2025-09-07T07:59:40.8793650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8793714Z x = self.blocks(x) 2025-09-07T07:59:40.8793979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8794042Z x = self.se(x) 2025-09-07T07:59:40.8794255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8794334Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8794337Z 2025-09-07T07:59:40.8794444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8794639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8794715Z return mod(*inputs) 2025-09-07T07:59:40.8794915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8794996Z x = self.forward_features(x) 2025-09-07T07:59:40.8795211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8795281Z x = self.blocks(x) 2025-09-07T07:59:40.8795490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8795561Z x = self.se(x) 2025-09-07T07:59:40.8795770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8795841Z return x * self.gate(x_se) 2025-09-07T07:59:40.8795843Z 2025-09-07T07:59:40.8795958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8796139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8796215Z return mod(*inputs) 2025-09-07T07:59:40.8796414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8796485Z x = self.forward_features(x) 2025-09-07T07:59:40.8796708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8796775Z x = self.blocks(x) 2025-09-07T07:59:40.8796992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8797053Z x = self.se(x) 2025-09-07T07:59:40.8797260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8797338Z return x * self.gate(x_se) 2025-09-07T07:59:40.8797340Z 2025-09-07T07:59:40.8797438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8797627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8797715Z return mod(*inputs) 2025-09-07T07:59:40.8797974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8798055Z x = self.forward_features(x) 2025-09-07T07:59:40.8798274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8798346Z x = self.blocks(x) 2025-09-07T07:59:40.8798555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8798620Z x = self.se(x) 2025-09-07T07:59:40.8798828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8798895Z return x * self.gate(x_se) 2025-09-07T07:59:40.8798898Z 2025-09-07T07:59:40.8798999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8799200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8799268Z return mod(*inputs) 2025-09-07T07:59:40.8799478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8799563Z x = self.forward_features(x) 2025-09-07T07:59:40.8799778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8799850Z x = self.blocks(x) 2025-09-07T07:59:40.8800061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8800138Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8800330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8800439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8800650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8800756Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8800760Z 2025-09-07T07:59:40.8800867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8801054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8801129Z return mod(*inputs) 2025-09-07T07:59:40.8801327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8801396Z x = self.forward_features(x) 2025-09-07T07:59:40.8801619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8801683Z x = self.blocks(x) 2025-09-07T07:59:40.8801903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8801971Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8802167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8802275Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8802480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8802587Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8802590Z 2025-09-07T07:59:40.8802689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8802887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8802951Z return mod(*inputs) 2025-09-07T07:59:40.8803148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8803242Z x = self.forward_features(x) 2025-09-07T07:59:40.8803543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8803613Z x = self.blocks(x) 2025-09-07T07:59:40.8803826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8803895Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8804099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8804198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8804408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8804505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8804508Z 2025-09-07T07:59:40.8804607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8804808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8804877Z return mod(*inputs) 2025-09-07T07:59:40.8805086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8805172Z x = self.forward_features(x) 2025-09-07T07:59:40.8805390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8805462Z x = self.blocks(x) 2025-09-07T07:59:40.8805671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8805745Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8805938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8806046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8806247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8806348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8806352Z 2025-09-07T07:59:40.8806451Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8806536Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8806646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8806830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8806893Z return mod(*inputs) 2025-09-07T07:59:40.8807095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8807163Z x = self.forward_features(x) 2025-09-07T07:59:40.8807386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8807451Z x = self.blocks(x) 2025-09-07T07:59:40.8807662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8807737Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8807930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8808006Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8808009Z 2025-09-07T07:59:40.8808109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8808300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8808365Z return mod(*inputs) 2025-09-07T07:59:40.8808560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8808637Z x = self.forward_features(x) 2025-09-07T07:59:40.8808856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8809105Z x = self.blocks(x) 2025-09-07T07:59:40.8809346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.8809423Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.8809426Z 2025-09-07T07:59:40.8809538Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8809728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8809802Z return mod(*inputs) 2025-09-07T07:59:40.8809999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8810069Z x = self.forward_features(x) 2025-09-07T07:59:40.8810297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8810362Z x = self.blocks(x) 2025-09-07T07:59:40.8810584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.8810648Z x = self.bn1(x) 2025-09-07T07:59:40.8810837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8810909Z x = self.act(x) 2025-09-07T07:59:40.8810927Z 2025-09-07T07:59:40.8811027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8811218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8811282Z return mod(*inputs) 2025-09-07T07:59:40.8811485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8811553Z x = self.forward_features(x) 2025-09-07T07:59:40.8811768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8811839Z x = self.blocks(x) 2025-09-07T07:59:40.8812049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.8812119Z x = self.bn1(x) 2025-09-07T07:59:40.8812306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8812368Z x = self.act(x) 2025-09-07T07:59:40.8812371Z 2025-09-07T07:59:40.8812476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8812662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8812732Z return mod(*inputs) 2025-09-07T07:59:40.8812927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8812995Z x = self.forward_features(x) 2025-09-07T07:59:40.8813218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8813280Z x = self.blocks(x) 2025-09-07T07:59:40.8813498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8813562Z x = self.conv_dw(x) 2025-09-07T07:59:40.8813755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8813866Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8814065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8814172Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8814175Z 2025-09-07T07:59:40.8814273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8814464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8814544Z return mod(*inputs) 2025-09-07T07:59:40.8814739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8814851Z x = self.forward_features(x) 2025-09-07T07:59:40.8815068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8815140Z x = self.blocks(x) 2025-09-07T07:59:40.8815351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8815415Z x = self.conv_dw(x) 2025-09-07T07:59:40.8815617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8815716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8815925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8816024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8816027Z 2025-09-07T07:59:40.8816136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8816324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8816389Z return mod(*inputs) 2025-09-07T07:59:40.8816610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8816679Z x = self.forward_features(x) 2025-09-07T07:59:40.8816906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8816969Z x = self.blocks(x) 2025-09-07T07:59:40.8817180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8817253Z x = self.conv_dw(x) 2025-09-07T07:59:40.8817448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8817559Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8817761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8817860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8817864Z 2025-09-07T07:59:40.8817973Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8818158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8818231Z return mod(*inputs) 2025-09-07T07:59:40.8818431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8818501Z x = self.forward_features(x) 2025-09-07T07:59:40.8818727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8818790Z x = self.blocks(x) 2025-09-07T07:59:40.8819010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8819073Z x = self.conv_dw(x) 2025-09-07T07:59:40.8819272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8819372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8819569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8819677Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8819679Z 2025-09-07T07:59:40.8819776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8819965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8820028Z return mod(*inputs) 2025-09-07T07:59:40.8820239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8820348Z x = self.forward_features(x) 2025-09-07T07:59:40.8820569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8820640Z x = self.blocks(x) 2025-09-07T07:59:40.8820848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8820913Z x = self.conv_dw(x) 2025-09-07T07:59:40.8821110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8821206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8821413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8821510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8821515Z 2025-09-07T07:59:40.8821621Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8821808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8821874Z return mod(*inputs) 2025-09-07T07:59:40.8822094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8822165Z x = self.forward_features(x) 2025-09-07T07:59:40.8822391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8822453Z x = self.blocks(x) 2025-09-07T07:59:40.8822664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8822737Z x = self.conv_dw(x) 2025-09-07T07:59:40.8822930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8823038Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8823239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8823335Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8823347Z 2025-09-07T07:59:40.8823429Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8823510Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8823590Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8823686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8823878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8823942Z return mod(*inputs) 2025-09-07T07:59:40.8824138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8824216Z x = self.forward_features(x) 2025-09-07T07:59:40.8824434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8824503Z x = self.blocks(x) 2025-09-07T07:59:40.8824711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8824776Z x = self.conv_dw(x) 2025-09-07T07:59:40.8824979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8825048Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8825058Z 2025-09-07T07:59:40.8825155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8825341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8825411Z return mod(*inputs) 2025-09-07T07:59:40.8825604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8825698Z x = self.forward_features(x) 2025-09-07T07:59:40.8825950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8826014Z x = self.blocks(x) 2025-09-07T07:59:40.8826235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8826296Z x = self.bn2(x) 2025-09-07T07:59:40.8826489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8826552Z x = F.batch_norm( 2025-09-07T07:59:40.8826555Z 2025-09-07T07:59:40.8826657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8826852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8826915Z return mod(*inputs) 2025-09-07T07:59:40.8827120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8827191Z x = self.forward_features(x) 2025-09-07T07:59:40.8827407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8827494Z x = self.blocks(x) 2025-09-07T07:59:40.8827705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8827775Z x = self.bn2(x) 2025-09-07T07:59:40.8827962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8828023Z x = self.act(x) 2025-09-07T07:59:40.8828033Z 2025-09-07T07:59:40.8828132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8828315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8828385Z return mod(*inputs) 2025-09-07T07:59:40.8828583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8828662Z x = self.forward_features(x) 2025-09-07T07:59:40.8828882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8828947Z x = self.blocks(x) 2025-09-07T07:59:40.8829165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8829226Z x = self.se(x) 2025-09-07T07:59:40.8829442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8829510Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8829513Z 2025-09-07T07:59:40.8829612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8829811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8829877Z return mod(*inputs) 2025-09-07T07:59:40.8832221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8832299Z x = self.forward_features(x) 2025-09-07T07:59:40.8832529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8832606Z x = self.blocks(x) 2025-09-07T07:59:40.8832820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8832891Z x = self.se(x) 2025-09-07T07:59:40.8833099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8833168Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8833171Z 2025-09-07T07:59:40.8833285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8833495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8833569Z return mod(*inputs) 2025-09-07T07:59:40.8833823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8833893Z x = self.forward_features(x) 2025-09-07T07:59:40.8834122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8834184Z x = self.blocks(x) 2025-09-07T07:59:40.8834401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8834462Z x = self.se(x) 2025-09-07T07:59:40.8834672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8834749Z return x * self.gate(x_se) 2025-09-07T07:59:40.8834752Z 2025-09-07T07:59:40.8834850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8835042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8835109Z return mod(*inputs) 2025-09-07T07:59:40.8835311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8835406Z x = self.forward_features(x) 2025-09-07T07:59:40.8835626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8835698Z x = self.blocks(x) 2025-09-07T07:59:40.8835908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8835967Z x = self.se(x) 2025-09-07T07:59:40.8836186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8836254Z return x * self.gate(x_se) 2025-09-07T07:59:40.8836259Z 2025-09-07T07:59:40.8836360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8836549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8836614Z return mod(*inputs) 2025-09-07T07:59:40.8836820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8836890Z x = self.forward_features(x) 2025-09-07T07:59:40.8837116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8837178Z x = self.blocks(x) 2025-09-07T07:59:40.8837395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8837455Z x = self.se(x) 2025-09-07T07:59:40.8837663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8837739Z return x * self.gate(x_se) 2025-09-07T07:59:40.8837742Z 2025-09-07T07:59:40.8837842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8838094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8838159Z return mod(*inputs) 2025-09-07T07:59:40.8838361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8838438Z x = self.forward_features(x) 2025-09-07T07:59:40.8838654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8838723Z x = self.blocks(x) 2025-09-07T07:59:40.8838931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8838997Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8839000Z 2025-09-07T07:59:40.8839119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8839317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8839390Z return mod(*inputs) 2025-09-07T07:59:40.8839587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8839661Z x = self.forward_features(x) 2025-09-07T07:59:40.8839877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8839940Z x = self.blocks(x) 2025-09-07T07:59:40.8840155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8840219Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8840222Z 2025-09-07T07:59:40.8840326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8840509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8840574Z return mod(*inputs) 2025-09-07T07:59:40.8840782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8840850Z x = self.forward_features(x) 2025-09-07T07:59:40.8841077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8841158Z x = self.blocks(x) 2025-09-07T07:59:40.8841369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8841442Z x = self.conv_pw(x) 2025-09-07T07:59:40.8841635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8841748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8841952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8842058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8842070Z 2025-09-07T07:59:40.8842172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8842357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8842434Z return mod(*inputs) 2025-09-07T07:59:40.8842631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8842708Z x = self.forward_features(x) 2025-09-07T07:59:40.8842924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8842987Z x = self.blocks(x) 2025-09-07T07:59:40.8843207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8843275Z x = self.conv_pw(x) 2025-09-07T07:59:40.8843478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8843611Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8843812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8843923Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8843926Z 2025-09-07T07:59:40.8844024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8844218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8844283Z return mod(*inputs) 2025-09-07T07:59:40.8844479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8844555Z x = self.forward_features(x) 2025-09-07T07:59:40.8844771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8844858Z x = self.blocks(x) 2025-09-07T07:59:40.8845085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8845159Z x = self.conv_pw(x) 2025-09-07T07:59:40.8845354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8845454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8845665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8845762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8845765Z 2025-09-07T07:59:40.8845871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8846054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8846121Z return mod(*inputs) 2025-09-07T07:59:40.8846332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8846402Z x = self.forward_features(x) 2025-09-07T07:59:40.8846627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8846706Z x = self.blocks(x) 2025-09-07T07:59:40.8846924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8846995Z x = self.conv_pw(x) 2025-09-07T07:59:40.8847193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8847300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8847507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8847614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8847617Z 2025-09-07T07:59:40.8847699Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8847777Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8847884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8848075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8848146Z return mod(*inputs) 2025-09-07T07:59:40.8848351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8848420Z x = self.forward_features(x) 2025-09-07T07:59:40.8848653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8848715Z x = self.blocks(x) 2025-09-07T07:59:40.8848937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8849002Z x = self.conv_pw(x) 2025-09-07T07:59:40.8849221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8849299Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8849304Z 2025-09-07T07:59:40.8849403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8849596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8849661Z return mod(*inputs) 2025-09-07T07:59:40.8849858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8849934Z x = self.forward_features(x) 2025-09-07T07:59:40.8850155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8850227Z x = self.blocks(x) 2025-09-07T07:59:40.8850450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8850540Z x = self.conv_dw(x) 2025-09-07T07:59:40.8850733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8850833Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8851042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8851140Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8851143Z 2025-09-07T07:59:40.8851247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8851430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8851494Z return mod(*inputs) 2025-09-07T07:59:40.8851698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8851770Z x = self.forward_features(x) 2025-09-07T07:59:40.8851997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8852059Z x = self.blocks(x) 2025-09-07T07:59:40.8852285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8852355Z x = self.conv_dw(x) 2025-09-07T07:59:40.8852547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8852653Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8852851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8852955Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8852959Z 2025-09-07T07:59:40.8853056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8853239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8853313Z return mod(*inputs) 2025-09-07T07:59:40.8853508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8853587Z x = self.forward_features(x) 2025-09-07T07:59:40.8853805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8853866Z x = self.blocks(x) 2025-09-07T07:59:40.8854084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8854148Z x = self.conv_dw(x) 2025-09-07T07:59:40.8854343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8854445Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8854646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8854770Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8854773Z 2025-09-07T07:59:40.8854874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8855067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8855133Z return mod(*inputs) 2025-09-07T07:59:40.8855335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8855404Z x = self.forward_features(x) 2025-09-07T07:59:40.8855620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8855693Z x = self.blocks(x) 2025-09-07T07:59:40.8855917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8856006Z x = self.conv_dw(x) 2025-09-07T07:59:40.8856200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8856300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8856512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8856608Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8856611Z 2025-09-07T07:59:40.8856717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8856905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8856970Z return mod(*inputs) 2025-09-07T07:59:40.8857181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8857250Z x = self.forward_features(x) 2025-09-07T07:59:40.8857481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8857543Z x = self.blocks(x) 2025-09-07T07:59:40.8857784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8857848Z x = self.conv_dw(x) 2025-09-07T07:59:40.8858037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8858140Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8858339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8858444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8858448Z 2025-09-07T07:59:40.8858546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8858730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8858805Z return mod(*inputs) 2025-09-07T07:59:40.8859002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8859079Z x = self.forward_features(x) 2025-09-07T07:59:40.8859296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8859359Z x = self.blocks(x) 2025-09-07T07:59:40.8859575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8859638Z x = self.conv_dw(x) 2025-09-07T07:59:40.8859834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8859935Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8860143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8860256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8860260Z 2025-09-07T07:59:40.8860359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8860549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8860612Z return mod(*inputs) 2025-09-07T07:59:40.8860817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8860887Z x = self.forward_features(x) 2025-09-07T07:59:40.8861108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8861180Z x = self.blocks(x) 2025-09-07T07:59:40.8861401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8861471Z x = self.conv_dw(x) 2025-09-07T07:59:40.8861677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8861777Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8861989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8862084Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8862087Z 2025-09-07T07:59:40.8862193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8862380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8862452Z return mod(*inputs) 2025-09-07T07:59:40.8862650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8862720Z x = self.forward_features(x) 2025-09-07T07:59:40.8862952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8863015Z x = self.blocks(x) 2025-09-07T07:59:40.8863234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8863312Z x = self.conv_dw(x) 2025-09-07T07:59:40.8863508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8863613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8863816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8863918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8863921Z 2025-09-07T07:59:40.8864006Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8864084Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8864169Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8864246Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8864351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8864540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8864605Z return mod(*inputs) 2025-09-07T07:59:40.8864814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8864881Z x = self.forward_features(x) 2025-09-07T07:59:40.8865107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8865169Z x = self.blocks(x) 2025-09-07T07:59:40.8865390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8865454Z x = self.conv_dw(x) 2025-09-07T07:59:40.8865649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8865741Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8865745Z 2025-09-07T07:59:40.8865844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8866035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8866099Z return mod(*inputs) 2025-09-07T07:59:40.8866294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8866370Z x = self.forward_features(x) 2025-09-07T07:59:40.8866598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8866661Z x = self.blocks(x) 2025-09-07T07:59:40.8866868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8866954Z x = self.bn2(x) 2025-09-07T07:59:40.8867156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8867230Z x = F.batch_norm( 2025-09-07T07:59:40.8867234Z 2025-09-07T07:59:40.8867333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8867516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8867587Z return mod(*inputs) 2025-09-07T07:59:40.8867789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8867865Z x = self.forward_features(x) 2025-09-07T07:59:40.8868087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8868155Z x = self.blocks(x) 2025-09-07T07:59:40.8868369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8868433Z x = self.bn2(x) 2025-09-07T07:59:40.8868628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8868708Z x = self.act(x) 2025-09-07T07:59:40.8868711Z 2025-09-07T07:59:40.8868818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8869002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8869065Z return mod(*inputs) 2025-09-07T07:59:40.8869275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8869343Z x = self.forward_features(x) 2025-09-07T07:59:40.8869572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8869636Z x = self.blocks(x) 2025-09-07T07:59:40.8869850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8869919Z x = self.se(x) 2025-09-07T07:59:40.8870131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8870208Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8870211Z 2025-09-07T07:59:40.8870309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8870496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8870566Z return mod(*inputs) 2025-09-07T07:59:40.8870766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8870841Z x = self.forward_features(x) 2025-09-07T07:59:40.8871062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8871132Z x = self.blocks(x) 2025-09-07T07:59:40.8871362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8871423Z x = self.se(x) 2025-09-07T07:59:40.8871643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8871713Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8871716Z 2025-09-07T07:59:40.8871819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8872003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8872067Z return mod(*inputs) 2025-09-07T07:59:40.8872273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8872340Z x = self.forward_features(x) 2025-09-07T07:59:40.8872579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8872657Z x = self.blocks(x) 2025-09-07T07:59:40.8872868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8872934Z x = self.se(x) 2025-09-07T07:59:40.8873140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8873214Z return x * self.gate(x_se) 2025-09-07T07:59:40.8873217Z 2025-09-07T07:59:40.8873311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8873492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8873562Z return mod(*inputs) 2025-09-07T07:59:40.8873757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8873829Z x = self.forward_features(x) 2025-09-07T07:59:40.8874047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8874116Z x = self.blocks(x) 2025-09-07T07:59:40.8874323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8874399Z x = self.se(x) 2025-09-07T07:59:40.8874615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8874681Z return x * self.gate(x_se) 2025-09-07T07:59:40.8874684Z 2025-09-07T07:59:40.8874791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8874975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8875039Z return mod(*inputs) 2025-09-07T07:59:40.8875244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8875311Z x = self.forward_features(x) 2025-09-07T07:59:40.8875539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8875600Z x = self.blocks(x) 2025-09-07T07:59:40.8875811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8875878Z x = self.se(x) 2025-09-07T07:59:40.8876088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8876162Z return x * self.gate(x_se) 2025-09-07T07:59:40.8876165Z 2025-09-07T07:59:40.8876242Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8876340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8876535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8876600Z return mod(*inputs) 2025-09-07T07:59:40.8876811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8876896Z x = self.forward_features(x) 2025-09-07T07:59:40.8877119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8877183Z x = self.blocks(x) 2025-09-07T07:59:40.8877391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8877465Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8877658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8877763Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8877962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8878076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8878079Z 2025-09-07T07:59:40.8878205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8878392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8878465Z return mod(*inputs) 2025-09-07T07:59:40.8878660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8878730Z x = self.forward_features(x) 2025-09-07T07:59:40.8878956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8879019Z x = self.blocks(x) 2025-09-07T07:59:40.8879235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8879297Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8879498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8879597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8879796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8879914Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8879917Z 2025-09-07T07:59:40.8879994Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8880097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8880280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8880345Z return mod(*inputs) 2025-09-07T07:59:40.8880548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8880615Z x = self.forward_features(x) 2025-09-07T07:59:40.8880840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8880900Z x = self.blocks(x) 2025-09-07T07:59:40.8881110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8881184Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8881373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8881477Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8881718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8881822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8881825Z 2025-09-07T07:59:40.8881922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8882105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8882179Z return mod(*inputs) 2025-09-07T07:59:40.8882416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8882497Z x = self.forward_features(x) 2025-09-07T07:59:40.8882717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8882783Z x = self.blocks(x) 2025-09-07T07:59:40.8883003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8883068Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8883265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8883362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8883560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8883690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8883716Z 2025-09-07T07:59:40.8883799Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8883881Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8883982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8884169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8884239Z return mod(*inputs) 2025-09-07T07:59:40.8884437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8884514Z x = self.forward_features(x) 2025-09-07T07:59:40.8884737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8884806Z x = self.blocks(x) 2025-09-07T07:59:40.8885017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8885080Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8885279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8885345Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8885367Z 2025-09-07T07:59:40.8885470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8885653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8885718Z return mod(*inputs) 2025-09-07T07:59:40.8885919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8885984Z x = self.forward_features(x) 2025-09-07T07:59:40.8886209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8886270Z x = self.blocks(x) 2025-09-07T07:59:40.8886479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.8886560Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.8886563Z 2025-09-07T07:59:40.8886658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8886850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8886911Z return mod(*inputs) 2025-09-07T07:59:40.8887111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8887178Z x = self.forward_features(x) 2025-09-07T07:59:40.8887396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8887464Z x = self.blocks(x) 2025-09-07T07:59:40.8887674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8887746Z x = self.conv_pw(x) 2025-09-07T07:59:40.8887952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8888052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8888260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8888358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8888361Z 2025-09-07T07:59:40.8888463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8888648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8888710Z return mod(*inputs) 2025-09-07T07:59:40.8888910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8889026Z x = self.forward_features(x) 2025-09-07T07:59:40.8889263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8889327Z x = self.blocks(x) 2025-09-07T07:59:40.8889537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8889606Z x = self.conv_pw(x) 2025-09-07T07:59:40.8889797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8889900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8890099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8890202Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8890205Z 2025-09-07T07:59:40.8890301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8890487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8890557Z return mod(*inputs) 2025-09-07T07:59:40.8890758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8890853Z x = self.forward_features(x) 2025-09-07T07:59:40.8891070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8891131Z x = self.blocks(x) 2025-09-07T07:59:40.8891349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8891414Z x = self.conv_pw(x) 2025-09-07T07:59:40.8891615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8891712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8891913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8892017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8892020Z 2025-09-07T07:59:40.8892119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8892312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8892372Z return mod(*inputs) 2025-09-07T07:59:40.8892577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8892646Z x = self.forward_features(x) 2025-09-07T07:59:40.8892866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8892937Z x = self.blocks(x) 2025-09-07T07:59:40.8893145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8893216Z x = self.conv_pw(x) 2025-09-07T07:59:40.8893428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8893525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8893732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8893825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8893828Z 2025-09-07T07:59:40.8893911Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8893989Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8894086Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8894276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8894338Z return mod(*inputs) 2025-09-07T07:59:40.8894551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8894619Z x = self.forward_features(x) 2025-09-07T07:59:40.8894857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8894920Z x = self.blocks(x) 2025-09-07T07:59:40.8895136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8895208Z x = self.conv_pw(x) 2025-09-07T07:59:40.8895405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8895478Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8895481Z 2025-09-07T07:59:40.8895579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8895762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8895836Z return mod(*inputs) 2025-09-07T07:59:40.8896033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8896111Z x = self.forward_features(x) 2025-09-07T07:59:40.8896329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8896409Z x = self.blocks(x) 2025-09-07T07:59:40.8896629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8896693Z x = self.conv_dw(x) 2025-09-07T07:59:40.8896889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8896988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8897189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8897296Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8897299Z 2025-09-07T07:59:40.8897397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8897593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8897658Z return mod(*inputs) 2025-09-07T07:59:40.8897862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8897932Z x = self.forward_features(x) 2025-09-07T07:59:40.8898148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8898220Z x = self.blocks(x) 2025-09-07T07:59:40.8898430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8898501Z x = self.conv_dw(x) 2025-09-07T07:59:40.8898690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8898791Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8899013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8899111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8899115Z 2025-09-07T07:59:40.8899220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8899404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8899474Z return mod(*inputs) 2025-09-07T07:59:40.8899668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8899737Z x = self.forward_features(x) 2025-09-07T07:59:40.8899961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8900045Z x = self.blocks(x) 2025-09-07T07:59:40.8900277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8900342Z x = self.conv_dw(x) 2025-09-07T07:59:40.8900533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8900641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8900845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8900951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8900954Z 2025-09-07T07:59:40.8901055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8901243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8901315Z return mod(*inputs) 2025-09-07T07:59:40.8901516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8901594Z x = self.forward_features(x) 2025-09-07T07:59:40.8901819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8901897Z x = self.blocks(x) 2025-09-07T07:59:40.8902117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8902182Z x = self.conv_dw(x) 2025-09-07T07:59:40.8902383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8902480Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8902690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8902787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8902791Z 2025-09-07T07:59:40.8902889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8903088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8903152Z return mod(*inputs) 2025-09-07T07:59:40.8903359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8903428Z x = self.forward_features(x) 2025-09-07T07:59:40.8903646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8903719Z x = self.blocks(x) 2025-09-07T07:59:40.8903931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8904003Z x = self.conv_dw(x) 2025-09-07T07:59:40.8904195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8904296Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8904523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8904623Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8904627Z 2025-09-07T07:59:40.8904733Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8904920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8904992Z return mod(*inputs) 2025-09-07T07:59:40.8905192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8905261Z x = self.forward_features(x) 2025-09-07T07:59:40.8905487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8905562Z x = self.blocks(x) 2025-09-07T07:59:40.8905799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8905864Z x = self.conv_dw(x) 2025-09-07T07:59:40.8906056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8906165Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8906364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8906468Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8906471Z 2025-09-07T07:59:40.8906568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8906763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8906826Z return mod(*inputs) 2025-09-07T07:59:40.8907026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8907104Z x = self.forward_features(x) 2025-09-07T07:59:40.8907326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8907411Z x = self.blocks(x) 2025-09-07T07:59:40.8907624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8907689Z x = self.conv_dw(x) 2025-09-07T07:59:40.8907888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8907985Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8908194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8908291Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8908295Z 2025-09-07T07:59:40.8908393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8908589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8908653Z return mod(*inputs) 2025-09-07T07:59:40.8908860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8908929Z x = self.forward_features(x) 2025-09-07T07:59:40.8909148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8909220Z x = self.blocks(x) 2025-09-07T07:59:40.8909429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8909501Z x = self.conv_dw(x) 2025-09-07T07:59:40.8909693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8909801Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8910016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8910114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8910119Z 2025-09-07T07:59:40.8910204Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8910282Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8910363Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8910437Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8910532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8910723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8910785Z return mod(*inputs) 2025-09-07T07:59:40.8910989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8911072Z x = self.forward_features(x) 2025-09-07T07:59:40.8911306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8911380Z x = self.blocks(x) 2025-09-07T07:59:40.8911592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8911662Z x = self.conv_dw(x) 2025-09-07T07:59:40.8911854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8911920Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8911932Z 2025-09-07T07:59:40.8912029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8912213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8912285Z return mod(*inputs) 2025-09-07T07:59:40.8912481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8912555Z x = self.forward_features(x) 2025-09-07T07:59:40.8912774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8912849Z x = self.blocks(x) 2025-09-07T07:59:40.8913068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8913129Z x = self.bn2(x) 2025-09-07T07:59:40.8913326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8913391Z x = F.batch_norm( 2025-09-07T07:59:40.8913393Z 2025-09-07T07:59:40.8913492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8913686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8913751Z return mod(*inputs) 2025-09-07T07:59:40.8913956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8914028Z x = self.forward_features(x) 2025-09-07T07:59:40.8914250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8914324Z x = self.blocks(x) 2025-09-07T07:59:40.8914537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8914604Z x = self.bn2(x) 2025-09-07T07:59:40.8914793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8914854Z x = self.act(x) 2025-09-07T07:59:40.8914866Z 2025-09-07T07:59:40.8914965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8915151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8915225Z return mod(*inputs) 2025-09-07T07:59:40.8915425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8915518Z x = self.forward_features(x) 2025-09-07T07:59:40.8915737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8915801Z x = self.blocks(x) 2025-09-07T07:59:40.8916021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8916083Z x = self.se(x) 2025-09-07T07:59:40.8916295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8916361Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8916364Z 2025-09-07T07:59:40.8916461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8916668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8916733Z return mod(*inputs) 2025-09-07T07:59:40.8916950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8917019Z x = self.forward_features(x) 2025-09-07T07:59:40.8917237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8917306Z x = self.blocks(x) 2025-09-07T07:59:40.8917516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8917582Z x = self.se(x) 2025-09-07T07:59:40.8917792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8917859Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8917869Z 2025-09-07T07:59:40.8917967Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8918154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8918225Z return mod(*inputs) 2025-09-07T07:59:40.8918427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8918516Z x = self.forward_features(x) 2025-09-07T07:59:40.8918738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8918800Z x = self.blocks(x) 2025-09-07T07:59:40.8919018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8919077Z x = self.se(x) 2025-09-07T07:59:40.8919293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8919362Z return x * self.gate(x_se) 2025-09-07T07:59:40.8919366Z 2025-09-07T07:59:40.8919462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8919659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8919723Z return mod(*inputs) 2025-09-07T07:59:40.8919928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8919997Z x = self.forward_features(x) 2025-09-07T07:59:40.8920214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8920284Z x = self.blocks(x) 2025-09-07T07:59:40.8920494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8920559Z x = self.se(x) 2025-09-07T07:59:40.8920766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8920837Z return x * self.gate(x_se) 2025-09-07T07:59:40.8920846Z 2025-09-07T07:59:40.8920945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8921153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8921225Z return mod(*inputs) 2025-09-07T07:59:40.8921425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8921497Z x = self.forward_features(x) 2025-09-07T07:59:40.8921712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8921773Z x = self.blocks(x) 2025-09-07T07:59:40.8921988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8922046Z x = self.se(x) 2025-09-07T07:59:40.8922258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8922341Z return x * self.gate(x_se) 2025-09-07T07:59:40.8922344Z 2025-09-07T07:59:40.8922459Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8922653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8922718Z return mod(*inputs) 2025-09-07T07:59:40.8922921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8922988Z x = self.forward_features(x) 2025-09-07T07:59:40.8923205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8923271Z x = self.blocks(x) 2025-09-07T07:59:40.8923480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8923550Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8923743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8923851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8924051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8924164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8924167Z 2025-09-07T07:59:40.8924273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8924458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8924529Z return mod(*inputs) 2025-09-07T07:59:40.8924727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8924793Z x = self.forward_features(x) 2025-09-07T07:59:40.8925016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8925078Z x = self.blocks(x) 2025-09-07T07:59:40.8925295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8925360Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8925555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8925658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8925856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8925960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8925963Z 2025-09-07T07:59:40.8926059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8926247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8926312Z return mod(*inputs) 2025-09-07T07:59:40.8926508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8926619Z x = self.forward_features(x) 2025-09-07T07:59:40.8926841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8926912Z x = self.blocks(x) 2025-09-07T07:59:40.8927122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8927188Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8927389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8927486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8927697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8927809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8927811Z 2025-09-07T07:59:40.8927923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8928117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8928185Z return mod(*inputs) 2025-09-07T07:59:40.8928391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8928460Z x = self.forward_features(x) 2025-09-07T07:59:40.8928683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8928745Z x = self.blocks(x) 2025-09-07T07:59:40.8928955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8929027Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8929221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8929326Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8929529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8929639Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8929642Z 2025-09-07T07:59:40.8929727Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8929805Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8929909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8930092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8930157Z return mod(*inputs) 2025-09-07T07:59:40.8930362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8930433Z x = self.forward_features(x) 2025-09-07T07:59:40.8930660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8930724Z x = self.blocks(x) 2025-09-07T07:59:40.8930938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8931010Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8931203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8931279Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8931282Z 2025-09-07T07:59:40.8931377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8931566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8931630Z return mod(*inputs) 2025-09-07T07:59:40.8931825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8931902Z x = self.forward_features(x) 2025-09-07T07:59:40.8932138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8932207Z x = self.blocks(x) 2025-09-07T07:59:40.8932418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.8932491Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.8932494Z 2025-09-07T07:59:40.8932600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8932783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8932852Z return mod(*inputs) 2025-09-07T07:59:40.8933049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8933117Z x = self.forward_features(x) 2025-09-07T07:59:40.8933357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8933435Z x = self.blocks(x) 2025-09-07T07:59:40.8933655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8933719Z x = self.conv_pw(x) 2025-09-07T07:59:40.8933907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8934014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8934213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8934319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8934322Z 2025-09-07T07:59:40.8934418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8934607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8934672Z return mod(*inputs) 2025-09-07T07:59:40.8934869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8934943Z x = self.forward_features(x) 2025-09-07T07:59:40.8935173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8935239Z x = self.blocks(x) 2025-09-07T07:59:40.8935445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8935507Z x = self.conv_pw(x) 2025-09-07T07:59:40.8935704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8935800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8936005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8936104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8936107Z 2025-09-07T07:59:40.8936210Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8936393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8936459Z return mod(*inputs) 2025-09-07T07:59:40.8936661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8936729Z x = self.forward_features(x) 2025-09-07T07:59:40.8936951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8937012Z x = self.blocks(x) 2025-09-07T07:59:40.8937219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8937290Z x = self.conv_pw(x) 2025-09-07T07:59:40.8937482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8937596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8937796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8937895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8937905Z 2025-09-07T07:59:40.8938002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8938184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8938254Z return mod(*inputs) 2025-09-07T07:59:40.8938450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8938525Z x = self.forward_features(x) 2025-09-07T07:59:40.8938756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8938830Z x = self.blocks(x) 2025-09-07T07:59:40.8939048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8939114Z x = self.conv_pw(x) 2025-09-07T07:59:40.8939311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8939406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8939605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8939710Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8939712Z 2025-09-07T07:59:40.8939789Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8939873Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8939971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8940155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8940228Z return mod(*inputs) 2025-09-07T07:59:40.8940426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8940526Z x = self.forward_features(x) 2025-09-07T07:59:40.8940748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8940809Z x = self.blocks(x) 2025-09-07T07:59:40.8941030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8941091Z x = self.conv_pw(x) 2025-09-07T07:59:40.8941291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8941360Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8941363Z 2025-09-07T07:59:40.8941470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8941656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8941720Z return mod(*inputs) 2025-09-07T07:59:40.8941929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8941998Z x = self.forward_features(x) 2025-09-07T07:59:40.8942226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8942288Z x = self.blocks(x) 2025-09-07T07:59:40.8942498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8942569Z x = self.conv_dw(x) 2025-09-07T07:59:40.8942762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8942867Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8943081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8943181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8943185Z 2025-09-07T07:59:40.8943294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8943478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8943549Z return mod(*inputs) 2025-09-07T07:59:40.8943745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8943821Z x = self.forward_features(x) 2025-09-07T07:59:40.8944039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8944117Z x = self.blocks(x) 2025-09-07T07:59:40.8944351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8944415Z x = self.conv_dw(x) 2025-09-07T07:59:40.8944614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8944712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8944914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8945018Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8945021Z 2025-09-07T07:59:40.8945117Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8945308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8945371Z return mod(*inputs) 2025-09-07T07:59:40.8945569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8945645Z x = self.forward_features(x) 2025-09-07T07:59:40.8945865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8945952Z x = self.blocks(x) 2025-09-07T07:59:40.8946166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8946227Z x = self.conv_dw(x) 2025-09-07T07:59:40.8946429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8946527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8946739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8946834Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8946839Z 2025-09-07T07:59:40.8946942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8947130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8947196Z return mod(*inputs) 2025-09-07T07:59:40.8947402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8947472Z x = self.forward_features(x) 2025-09-07T07:59:40.8947698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8947760Z x = self.blocks(x) 2025-09-07T07:59:40.8947971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8948042Z x = self.conv_dw(x) 2025-09-07T07:59:40.8948233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8948339Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8948556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8948652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8948662Z 2025-09-07T07:59:40.8948758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8948942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8949014Z return mod(*inputs) 2025-09-07T07:59:40.8949209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8949283Z x = self.forward_features(x) 2025-09-07T07:59:40.8949499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8949577Z x = self.blocks(x) 2025-09-07T07:59:40.8949810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8949873Z x = self.conv_dw(x) 2025-09-07T07:59:40.8950074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8950172Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8950377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8950484Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8950487Z 2025-09-07T07:59:40.8950583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8950780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8950843Z return mod(*inputs) 2025-09-07T07:59:40.8951052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8951122Z x = self.forward_features(x) 2025-09-07T07:59:40.8951347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8951416Z x = self.blocks(x) 2025-09-07T07:59:40.8951643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8951712Z x = self.conv_dw(x) 2025-09-07T07:59:40.8951905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8952002Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8952212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8952307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8952311Z 2025-09-07T07:59:40.8952415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8952602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8952668Z return mod(*inputs) 2025-09-07T07:59:40.8952869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8952939Z x = self.forward_features(x) 2025-09-07T07:59:40.8953165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8953227Z x = self.blocks(x) 2025-09-07T07:59:40.8953436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8953504Z x = self.conv_dw(x) 2025-09-07T07:59:40.8953697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8953805Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8954020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8954123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8954128Z 2025-09-07T07:59:40.8954227Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8954412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8954487Z return mod(*inputs) 2025-09-07T07:59:40.8954682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8954755Z x = self.forward_features(x) 2025-09-07T07:59:40.8954971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8955033Z x = self.blocks(x) 2025-09-07T07:59:40.8955273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8955348Z x = self.conv_dw(x) 2025-09-07T07:59:40.8955547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8955646Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8955845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8955948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8955951Z 2025-09-07T07:59:40.8956029Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8956115Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8956190Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8956269Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8956367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8956553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8956627Z return mod(*inputs) 2025-09-07T07:59:40.8956826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8956917Z x = self.forward_features(x) 2025-09-07T07:59:40.8957139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8957201Z x = self.blocks(x) 2025-09-07T07:59:40.8957421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.8957484Z x = self.conv_dw(x) 2025-09-07T07:59:40.8957686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8957753Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8957758Z 2025-09-07T07:59:40.8957856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8958052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8958116Z return mod(*inputs) 2025-09-07T07:59:40.8958324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8958394Z x = self.forward_features(x) 2025-09-07T07:59:40.8958613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8958683Z x = self.blocks(x) 2025-09-07T07:59:40.8958894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8958961Z x = self.bn2(x) 2025-09-07T07:59:40.8959151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.8959216Z x = F.batch_norm( 2025-09-07T07:59:40.8959226Z 2025-09-07T07:59:40.8959325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8959532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8959603Z return mod(*inputs) 2025-09-07T07:59:40.8959801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8959875Z x = self.forward_features(x) 2025-09-07T07:59:40.8960093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8960153Z x = self.blocks(x) 2025-09-07T07:59:40.8960370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8960431Z x = self.bn2(x) 2025-09-07T07:59:40.8960623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8960697Z x = self.act(x) 2025-09-07T07:59:40.8960700Z 2025-09-07T07:59:40.8960820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8961015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8961079Z return mod(*inputs) 2025-09-07T07:59:40.8961280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8961347Z x = self.forward_features(x) 2025-09-07T07:59:40.8961563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8961633Z x = self.blocks(x) 2025-09-07T07:59:40.8961841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8961908Z x = self.se(x) 2025-09-07T07:59:40.8962118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8962186Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8962200Z 2025-09-07T07:59:40.8962299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8962485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8962571Z return mod(*inputs) 2025-09-07T07:59:40.8962766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8962839Z x = self.forward_features(x) 2025-09-07T07:59:40.8963054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8963117Z x = self.blocks(x) 2025-09-07T07:59:40.8963333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8963396Z x = self.se(x) 2025-09-07T07:59:40.8963608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8963678Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8963682Z 2025-09-07T07:59:40.8963779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8963970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8964033Z return mod(*inputs) 2025-09-07T07:59:40.8964233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8964300Z x = self.forward_features(x) 2025-09-07T07:59:40.8964514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8964583Z x = self.blocks(x) 2025-09-07T07:59:40.8964789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8964856Z x = self.se(x) 2025-09-07T07:59:40.8965078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8965157Z return x * self.gate(x_se) 2025-09-07T07:59:40.8965160Z 2025-09-07T07:59:40.8965261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8965446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8965519Z return mod(*inputs) 2025-09-07T07:59:40.8965715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8965790Z x = self.forward_features(x) 2025-09-07T07:59:40.8966006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8966066Z x = self.blocks(x) 2025-09-07T07:59:40.8966280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8966358Z x = self.se(x) 2025-09-07T07:59:40.8966588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8966658Z return x * self.gate(x_se) 2025-09-07T07:59:40.8966663Z 2025-09-07T07:59:40.8966765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8966957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8967022Z return mod(*inputs) 2025-09-07T07:59:40.8967227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8967296Z x = self.forward_features(x) 2025-09-07T07:59:40.8967511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8967583Z x = self.blocks(x) 2025-09-07T07:59:40.8967792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8967860Z x = self.se(x) 2025-09-07T07:59:40.8968068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8968159Z return x * self.gate(x_se) 2025-09-07T07:59:40.8968162Z 2025-09-07T07:59:40.8968260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8968445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8968515Z return mod(*inputs) 2025-09-07T07:59:40.8968713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8968789Z x = self.forward_features(x) 2025-09-07T07:59:40.8969006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8969071Z x = self.blocks(x) 2025-09-07T07:59:40.8969290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8969354Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8969555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8969659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8969862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8969969Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8969971Z 2025-09-07T07:59:40.8970071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8970268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8970335Z return mod(*inputs) 2025-09-07T07:59:40.8970545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8970627Z x = self.forward_features(x) 2025-09-07T07:59:40.8970845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8970917Z x = self.blocks(x) 2025-09-07T07:59:40.8971128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8971201Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8971392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8971490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8971694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8971809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8971812Z 2025-09-07T07:59:40.8971930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8972117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8972182Z return mod(*inputs) 2025-09-07T07:59:40.8972386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8972454Z x = self.forward_features(x) 2025-09-07T07:59:40.8972678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8972739Z x = self.blocks(x) 2025-09-07T07:59:40.8972954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8973018Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8973208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8973314Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8973518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8973637Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8973640Z 2025-09-07T07:59:40.8973737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8973923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8973994Z return mod(*inputs) 2025-09-07T07:59:40.8974192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8974267Z x = self.forward_features(x) 2025-09-07T07:59:40.8974486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8974550Z x = self.blocks(x) 2025-09-07T07:59:40.8974771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8974835Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8975030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8975131Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8975340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8975435Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8975438Z 2025-09-07T07:59:40.8975517Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8975602Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8975699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8975894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8975957Z return mod(*inputs) 2025-09-07T07:59:40.8976204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8976284Z x = self.forward_features(x) 2025-09-07T07:59:40.8976506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8976576Z x = self.blocks(x) 2025-09-07T07:59:40.8976785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8976852Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8977053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.8977121Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.8977124Z 2025-09-07T07:59:40.8977256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8977439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8977519Z return mod(*inputs) 2025-09-07T07:59:40.8977729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8977801Z x = self.forward_features(x) 2025-09-07T07:59:40.8978024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8978085Z x = self.blocks(x) 2025-09-07T07:59:40.8978305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.8978378Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.8978381Z 2025-09-07T07:59:40.8978478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8978670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8978736Z return mod(*inputs) 2025-09-07T07:59:40.8978943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8979012Z x = self.forward_features(x) 2025-09-07T07:59:40.8979225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8979312Z x = self.blocks(x) 2025-09-07T07:59:40.8979523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.8979594Z x = self.bn1(x) 2025-09-07T07:59:40.8979781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8979841Z x = self.act(x) 2025-09-07T07:59:40.8979844Z 2025-09-07T07:59:40.8979948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8980137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8980208Z return mod(*inputs) 2025-09-07T07:59:40.8980409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8980477Z x = self.forward_features(x) 2025-09-07T07:59:40.8980705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8980767Z x = self.blocks(x) 2025-09-07T07:59:40.8980983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.8981043Z x = self.bn1(x) 2025-09-07T07:59:40.8981240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8981302Z x = self.act(x) 2025-09-07T07:59:40.8981304Z 2025-09-07T07:59:40.8981402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8981627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8981694Z return mod(*inputs) 2025-09-07T07:59:40.8981934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8982004Z x = self.forward_features(x) 2025-09-07T07:59:40.8982224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8982296Z x = self.blocks(x) 2025-09-07T07:59:40.8982506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8982574Z x = self.bn2(x) 2025-09-07T07:59:40.8982762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8982823Z x = self.act(x) 2025-09-07T07:59:40.8982826Z 2025-09-07T07:59:40.8982959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8983163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8983236Z return mod(*inputs) 2025-09-07T07:59:40.8983435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8983503Z x = self.forward_features(x) 2025-09-07T07:59:40.8983729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8983790Z x = self.blocks(x) 2025-09-07T07:59:40.8984006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.8984066Z x = self.bn2(x) 2025-09-07T07:59:40.8984258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.8984318Z x = self.act(x) 2025-09-07T07:59:40.8984323Z 2025-09-07T07:59:40.8984401Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.8984509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8984694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8984763Z return mod(*inputs) 2025-09-07T07:59:40.8984980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8985051Z x = self.forward_features(x) 2025-09-07T07:59:40.8985274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8985335Z x = self.blocks(x) 2025-09-07T07:59:40.8985551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8985610Z x = self.se(x) 2025-09-07T07:59:40.8985815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:59:40.8985900Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:59:40.8985905Z 2025-09-07T07:59:40.8986004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8986194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8986261Z return mod(*inputs) 2025-09-07T07:59:40.8986457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8986534Z x = self.forward_features(x) 2025-09-07T07:59:40.8986755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8986827Z x = self.blocks(x) 2025-09-07T07:59:40.8987038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8987110Z x = self.se(x) 2025-09-07T07:59:40.8987317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8987385Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8987401Z 2025-09-07T07:59:40.8987507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8987695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8987767Z return mod(*inputs) 2025-09-07T07:59:40.8987966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8988034Z x = self.forward_features(x) 2025-09-07T07:59:40.8988259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8988320Z x = self.blocks(x) 2025-09-07T07:59:40.8988538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8988615Z x = self.se(x) 2025-09-07T07:59:40.8988839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.8988916Z x_se = self.act1(x_se) 2025-09-07T07:59:40.8988919Z 2025-09-07T07:59:40.8989016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8989209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8989271Z return mod(*inputs) 2025-09-07T07:59:40.8989466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8989545Z x = self.forward_features(x) 2025-09-07T07:59:40.8989761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8989827Z x = self.blocks(x) 2025-09-07T07:59:40.8990037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8990109Z x = self.se(x) 2025-09-07T07:59:40.8990320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8990390Z return x * self.gate(x_se) 2025-09-07T07:59:40.8990407Z 2025-09-07T07:59:40.8990515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8990695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8990764Z return mod(*inputs) 2025-09-07T07:59:40.8990960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8991025Z x = self.forward_features(x) 2025-09-07T07:59:40.8991255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8991317Z x = self.blocks(x) 2025-09-07T07:59:40.8991540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8991600Z x = self.se(x) 2025-09-07T07:59:40.8991815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8991891Z return x * self.gate(x_se) 2025-09-07T07:59:40.8991893Z 2025-09-07T07:59:40.8991991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8992184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8992247Z return mod(*inputs) 2025-09-07T07:59:40.8992456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8992524Z x = self.forward_features(x) 2025-09-07T07:59:40.8992744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8992815Z x = self.blocks(x) 2025-09-07T07:59:40.8993042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.8993111Z x = self.se(x) 2025-09-07T07:59:40.8993318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.8993386Z return x * self.gate(x_se) 2025-09-07T07:59:40.8993389Z 2025-09-07T07:59:40.8993496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8993683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8993755Z return mod(*inputs) 2025-09-07T07:59:40.8993954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8994021Z x = self.forward_features(x) 2025-09-07T07:59:40.8994260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8994321Z x = self.blocks(x) 2025-09-07T07:59:40.8994552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8994617Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8994621Z 2025-09-07T07:59:40.8994719Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8994910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8994972Z return mod(*inputs) 2025-09-07T07:59:40.8995178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8995245Z x = self.forward_features(x) 2025-09-07T07:59:40.8995474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8995537Z x = self.blocks(x) 2025-09-07T07:59:40.8995747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.8995820Z x = self.conv_pwl(x) 2025-09-07T07:59:40.8995822Z 2025-09-07T07:59:40.8995921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8996127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8996191Z return mod(*inputs) 2025-09-07T07:59:40.8996392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8996467Z x = self.forward_features(x) 2025-09-07T07:59:40.8996684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8996751Z x = self.blocks(x) 2025-09-07T07:59:40.8996960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8997024Z x = self.conv_pw(x) 2025-09-07T07:59:40.8997229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8997332Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8997541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8997642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8997645Z 2025-09-07T07:59:40.8997748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8997930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8997993Z return mod(*inputs) 2025-09-07T07:59:40.8998197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.8998266Z x = self.forward_features(x) 2025-09-07T07:59:40.8998492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.8998568Z x = self.blocks(x) 2025-09-07T07:59:40.8998780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.8998853Z x = self.conv_pw(x) 2025-09-07T07:59:40.8999045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.8999150Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8999354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.8999451Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.8999460Z 2025-09-07T07:59:40.8999559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.8999760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.8999844Z return mod(*inputs) 2025-09-07T07:59:40.9000043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9000118Z x = self.forward_features(x) 2025-09-07T07:59:40.9000337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9000399Z x = self.blocks(x) 2025-09-07T07:59:40.9000614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9000676Z x = self.conv_pw(x) 2025-09-07T07:59:40.9000882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9000978Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9001181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9001286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9001291Z 2025-09-07T07:59:40.9001390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9001595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9001658Z return mod(*inputs) 2025-09-07T07:59:40.9001853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9001927Z x = self.forward_features(x) 2025-09-07T07:59:40.9002144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9002214Z x = self.blocks(x) 2025-09-07T07:59:40.9002425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9002498Z x = self.conv_pw(x) 2025-09-07T07:59:40.9002692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9002789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9002996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9003091Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9003094Z 2025-09-07T07:59:40.9003181Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9003257Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9003353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9003547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9003612Z return mod(*inputs) 2025-09-07T07:59:40.9003814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9003884Z x = self.forward_features(x) 2025-09-07T07:59:40.9004120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9004192Z x = self.blocks(x) 2025-09-07T07:59:40.9004404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9004475Z x = self.conv_pw(x) 2025-09-07T07:59:40.9004670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9004737Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9004748Z 2025-09-07T07:59:40.9004844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9005028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9005113Z return mod(*inputs) 2025-09-07T07:59:40.9005309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9005399Z x = self.forward_features(x) 2025-09-07T07:59:40.9005618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9005681Z x = self.blocks(x) 2025-09-07T07:59:40.9005899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9005961Z x = self.conv_dw(x) 2025-09-07T07:59:40.9006159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9006259Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9006460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9006563Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9006566Z 2025-09-07T07:59:40.9006661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9006852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9006915Z return mod(*inputs) 2025-09-07T07:59:40.9007135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9007209Z x = self.forward_features(x) 2025-09-07T07:59:40.9007425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9007490Z x = self.blocks(x) 2025-09-07T07:59:40.9007700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9007767Z x = self.conv_dw(x) 2025-09-07T07:59:40.9007955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9008054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9008262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9008358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9008363Z 2025-09-07T07:59:40.9008467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9008649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9008710Z return mod(*inputs) 2025-09-07T07:59:40.9008911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9008978Z x = self.forward_features(x) 2025-09-07T07:59:40.9009198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9009262Z x = self.blocks(x) 2025-09-07T07:59:40.9009469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9009551Z x = self.conv_dw(x) 2025-09-07T07:59:40.9009740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9009845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9010045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9010149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9010151Z 2025-09-07T07:59:40.9010247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9010430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9010498Z return mod(*inputs) 2025-09-07T07:59:40.9010711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9010800Z x = self.forward_features(x) 2025-09-07T07:59:40.9011021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9011083Z x = self.blocks(x) 2025-09-07T07:59:40.9011300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9011362Z x = self.conv_dw(x) 2025-09-07T07:59:40.9011558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9011655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9011853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9011957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9011961Z 2025-09-07T07:59:40.9012057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9012250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9012312Z return mod(*inputs) 2025-09-07T07:59:40.9012534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9012602Z x = self.forward_features(x) 2025-09-07T07:59:40.9012818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9012885Z x = self.blocks(x) 2025-09-07T07:59:40.9013093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9013162Z x = self.conv_dw(x) 2025-09-07T07:59:40.9013350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9013450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9013658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9013752Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9013757Z 2025-09-07T07:59:40.9013860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9014044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9014107Z return mod(*inputs) 2025-09-07T07:59:40.9014310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9014378Z x = self.forward_features(x) 2025-09-07T07:59:40.9014602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9014666Z x = self.blocks(x) 2025-09-07T07:59:40.9014885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9014969Z x = self.conv_dw(x) 2025-09-07T07:59:40.9015160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9015267Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9015468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9015573Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9015576Z 2025-09-07T07:59:40.9015673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9015857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9015930Z return mod(*inputs) 2025-09-07T07:59:40.9016138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9016230Z x = self.forward_features(x) 2025-09-07T07:59:40.9016448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9016511Z x = self.blocks(x) 2025-09-07T07:59:40.9016729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9016791Z x = self.conv_dw(x) 2025-09-07T07:59:40.9016988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9017085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9017285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9017380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9017384Z 2025-09-07T07:59:40.9017481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9017677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9017740Z return mod(*inputs) 2025-09-07T07:59:40.9017957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9018024Z x = self.forward_features(x) 2025-09-07T07:59:40.9018239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9018308Z x = self.blocks(x) 2025-09-07T07:59:40.9018516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9018585Z x = self.conv_dw(x) 2025-09-07T07:59:40.9018773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9018870Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9019077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9019170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9019175Z 2025-09-07T07:59:40.9019261Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9019340Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9019424Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9019497Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9019596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9019789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9019851Z return mod(*inputs) 2025-09-07T07:59:40.9020053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9020118Z x = self.forward_features(x) 2025-09-07T07:59:40.9020347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9020415Z x = self.blocks(x) 2025-09-07T07:59:40.9020623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9020690Z x = self.conv_dw(x) 2025-09-07T07:59:40.9020879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9020943Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9020946Z 2025-09-07T07:59:40.9021052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9021232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9021301Z return mod(*inputs) 2025-09-07T07:59:40.9021515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9021596Z x = self.forward_features(x) 2025-09-07T07:59:40.9021824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9021888Z x = self.blocks(x) 2025-09-07T07:59:40.9022105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.9022164Z x = self.bn2(x) 2025-09-07T07:59:40.9022348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.9022416Z x = F.batch_norm( 2025-09-07T07:59:40.9022419Z 2025-09-07T07:59:40.9022515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9022701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9022764Z return mod(*inputs) 2025-09-07T07:59:40.9022965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9023036Z x = self.forward_features(x) 2025-09-07T07:59:40.9023254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9023344Z x = self.blocks(x) 2025-09-07T07:59:40.9023558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.9023626Z x = self.bn2(x) 2025-09-07T07:59:40.9023816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9023876Z x = self.act(x) 2025-09-07T07:59:40.9023878Z 2025-09-07T07:59:40.9023983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9024168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9024240Z return mod(*inputs) 2025-09-07T07:59:40.9024441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9024511Z x = self.forward_features(x) 2025-09-07T07:59:40.9024744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9024808Z x = self.blocks(x) 2025-09-07T07:59:40.9025030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9025089Z x = self.se(x) 2025-09-07T07:59:40.9025301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9025376Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9025379Z 2025-09-07T07:59:40.9025477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9025673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9025736Z return mod(*inputs) 2025-09-07T07:59:40.9025960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9026030Z x = self.forward_features(x) 2025-09-07T07:59:40.9026255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9026325Z x = self.blocks(x) 2025-09-07T07:59:40.9026537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9026606Z x = self.se(x) 2025-09-07T07:59:40.9026814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9026880Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9026883Z 2025-09-07T07:59:40.9026991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9027192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9027278Z return mod(*inputs) 2025-09-07T07:59:40.9027478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9027546Z x = self.forward_features(x) 2025-09-07T07:59:40.9027769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9027829Z x = self.blocks(x) 2025-09-07T07:59:40.9028040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9028099Z x = self.se(x) 2025-09-07T07:59:40.9028302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9028375Z return x * self.gate(x_se) 2025-09-07T07:59:40.9028380Z 2025-09-07T07:59:40.9028476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9028667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9028730Z return mod(*inputs) 2025-09-07T07:59:40.9028934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9029019Z x = self.forward_features(x) 2025-09-07T07:59:40.9029236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9029307Z x = self.blocks(x) 2025-09-07T07:59:40.9029517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9029582Z x = self.se(x) 2025-09-07T07:59:40.9029791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9029860Z return x * self.gate(x_se) 2025-09-07T07:59:40.9029863Z 2025-09-07T07:59:40.9029970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9030156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9030226Z return mod(*inputs) 2025-09-07T07:59:40.9030426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9030495Z x = self.forward_features(x) 2025-09-07T07:59:40.9030721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9030784Z x = self.blocks(x) 2025-09-07T07:59:40.9031000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9031061Z x = self.se(x) 2025-09-07T07:59:40.9031268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9031343Z return x * self.gate(x_se) 2025-09-07T07:59:40.9031346Z 2025-09-07T07:59:40.9031437Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9031545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9031727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9031799Z return mod(*inputs) 2025-09-07T07:59:40.9031994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9032062Z x = self.forward_features(x) 2025-09-07T07:59:40.9032282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9032343Z x = self.blocks(x) 2025-09-07T07:59:40.9032557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9032640Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9032848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9032960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9033169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9033279Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9033281Z 2025-09-07T07:59:40.9033378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9033563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9033632Z return mod(*inputs) 2025-09-07T07:59:40.9033830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9033902Z x = self.forward_features(x) 2025-09-07T07:59:40.9034123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9034193Z x = self.blocks(x) 2025-09-07T07:59:40.9034404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9034485Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9034687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9034785Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9034992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9035090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9035093Z 2025-09-07T07:59:40.9035171Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9035274Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9035459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9035530Z return mod(*inputs) 2025-09-07T07:59:40.9035727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9035798Z x = self.forward_features(x) 2025-09-07T07:59:40.9036026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9036088Z x = self.blocks(x) 2025-09-07T07:59:40.9036305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9036369Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9036562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9036668Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9036870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9036992Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9036995Z 2025-09-07T07:59:40.9037095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9037289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9037356Z return mod(*inputs) 2025-09-07T07:59:40.9037555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9037629Z x = self.forward_features(x) 2025-09-07T07:59:40.9037846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9037913Z x = self.blocks(x) 2025-09-07T07:59:40.9038124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9038204Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9038419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9038519Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9038728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9038823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9038826Z 2025-09-07T07:59:40.9038911Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9038990Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9039089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9039281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9039348Z return mod(*inputs) 2025-09-07T07:59:40.9039555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9039626Z x = self.forward_features(x) 2025-09-07T07:59:40.9039850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9039937Z x = self.blocks(x) 2025-09-07T07:59:40.9040148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9040222Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9040416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9040482Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9040485Z 2025-09-07T07:59:40.9040588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9040772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9040842Z return mod(*inputs) 2025-09-07T07:59:40.9041041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9041111Z x = self.forward_features(x) 2025-09-07T07:59:40.9041337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9041399Z x = self.blocks(x) 2025-09-07T07:59:40.9041618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.9041689Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.9041692Z 2025-09-07T07:59:40.9041797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9041982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9042046Z return mod(*inputs) 2025-09-07T07:59:40.9042249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9042317Z x = self.forward_features(x) 2025-09-07T07:59:40.9042557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9042619Z x = self.blocks(x) 2025-09-07T07:59:40.9042828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9042898Z x = self.conv_pw(x) 2025-09-07T07:59:40.9043094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9043202Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9043404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9043501Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9043518Z 2025-09-07T07:59:40.9043624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9043830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9043904Z return mod(*inputs) 2025-09-07T07:59:40.9044106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9044176Z x = self.forward_features(x) 2025-09-07T07:59:40.9044400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9044460Z x = self.blocks(x) 2025-09-07T07:59:40.9044678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9044741Z x = self.conv_pw(x) 2025-09-07T07:59:40.9044943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9045044Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9045246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9045352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9045369Z 2025-09-07T07:59:40.9045466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9045656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9045720Z return mod(*inputs) 2025-09-07T07:59:40.9045915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9045992Z x = self.forward_features(x) 2025-09-07T07:59:40.9046206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9046275Z x = self.blocks(x) 2025-09-07T07:59:40.9046484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9046547Z x = self.conv_pw(x) 2025-09-07T07:59:40.9046746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9046843Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9047046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9047142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9047145Z 2025-09-07T07:59:40.9047247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9047430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9047493Z return mod(*inputs) 2025-09-07T07:59:40.9047694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9047763Z x = self.forward_features(x) 2025-09-07T07:59:40.9048000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9048063Z x = self.blocks(x) 2025-09-07T07:59:40.9048275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9048345Z x = self.conv_pw(x) 2025-09-07T07:59:40.9048541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9048643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9048844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9048939Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9048962Z 2025-09-07T07:59:40.9049041Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9049117Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9049238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9049431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9049504Z return mod(*inputs) 2025-09-07T07:59:40.9049699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9049767Z x = self.forward_features(x) 2025-09-07T07:59:40.9049990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9050053Z x = self.blocks(x) 2025-09-07T07:59:40.9050268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9050331Z x = self.conv_pw(x) 2025-09-07T07:59:40.9050524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9050599Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9050604Z 2025-09-07T07:59:40.9050705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9050897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9050977Z return mod(*inputs) 2025-09-07T07:59:40.9051172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9051252Z x = self.forward_features(x) 2025-09-07T07:59:40.9051470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9051539Z x = self.blocks(x) 2025-09-07T07:59:40.9051749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9051815Z x = self.conv_dw(x) 2025-09-07T07:59:40.9052015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9052113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9052320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9052419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9052422Z 2025-09-07T07:59:40.9052529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9052721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9052784Z return mod(*inputs) 2025-09-07T07:59:40.9052986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9053052Z x = self.forward_features(x) 2025-09-07T07:59:40.9053279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9053341Z x = self.blocks(x) 2025-09-07T07:59:40.9053566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9053640Z x = self.conv_dw(x) 2025-09-07T07:59:40.9053833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9053935Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9054132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9054229Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9054238Z 2025-09-07T07:59:40.9054336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9054521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9054608Z return mod(*inputs) 2025-09-07T07:59:40.9054826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9054904Z x = self.forward_features(x) 2025-09-07T07:59:40.9055122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9055185Z x = self.blocks(x) 2025-09-07T07:59:40.9055405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9055468Z x = self.conv_dw(x) 2025-09-07T07:59:40.9055668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9055766Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9055965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9056072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9056077Z 2025-09-07T07:59:40.9056179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9056374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9056452Z return mod(*inputs) 2025-09-07T07:59:40.9056649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9056724Z x = self.forward_features(x) 2025-09-07T07:59:40.9056942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9057011Z x = self.blocks(x) 2025-09-07T07:59:40.9057223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9057295Z x = self.conv_dw(x) 2025-09-07T07:59:40.9057485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9057585Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9057789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9057888Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9057891Z 2025-09-07T07:59:40.9057995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9058181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9058245Z return mod(*inputs) 2025-09-07T07:59:40.9058452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9058522Z x = self.forward_features(x) 2025-09-07T07:59:40.9058746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9058809Z x = self.blocks(x) 2025-09-07T07:59:40.9059038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9059107Z x = self.conv_dw(x) 2025-09-07T07:59:40.9059301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9059407Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9059605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9059707Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9059710Z 2025-09-07T07:59:40.9059807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9059993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9060079Z return mod(*inputs) 2025-09-07T07:59:40.9060289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9060364Z x = self.forward_features(x) 2025-09-07T07:59:40.9060581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9060644Z x = self.blocks(x) 2025-09-07T07:59:40.9060865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9060926Z x = self.conv_dw(x) 2025-09-07T07:59:40.9061126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9061225Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9061423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9061527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9061530Z 2025-09-07T07:59:40.9061633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9061828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9061932Z return mod(*inputs) 2025-09-07T07:59:40.9062134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9062203Z x = self.forward_features(x) 2025-09-07T07:59:40.9062419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9062489Z x = self.blocks(x) 2025-09-07T07:59:40.9062698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9062769Z x = self.conv_dw(x) 2025-09-07T07:59:40.9062963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9063061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9063270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9063368Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9063371Z 2025-09-07T07:59:40.9063475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9063660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9063731Z return mod(*inputs) 2025-09-07T07:59:40.9063926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9063995Z x = self.forward_features(x) 2025-09-07T07:59:40.9064220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9064282Z x = self.blocks(x) 2025-09-07T07:59:40.9064516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9064580Z x = self.conv_dw(x) 2025-09-07T07:59:40.9064774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9064879Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9065084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9065187Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9065190Z 2025-09-07T07:59:40.9065270Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9065348Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9065434Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9065534Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9065644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9065844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9065910Z return mod(*inputs) 2025-09-07T07:59:40.9066122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9066192Z x = self.forward_features(x) 2025-09-07T07:59:40.9066425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9066486Z x = self.blocks(x) 2025-09-07T07:59:40.9066700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9066769Z x = self.conv_dw(x) 2025-09-07T07:59:40.9066965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9067039Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9067042Z 2025-09-07T07:59:40.9067144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9067339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9067420Z return mod(*inputs) 2025-09-07T07:59:40.9067616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9067694Z x = self.forward_features(x) 2025-09-07T07:59:40.9067909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9067977Z x = self.blocks(x) 2025-09-07T07:59:40.9068185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.9068245Z x = self.bn2(x) 2025-09-07T07:59:40.9068441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.9068503Z x = F.batch_norm( 2025-09-07T07:59:40.9068507Z 2025-09-07T07:59:40.9068614Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9068798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9068861Z return mod(*inputs) 2025-09-07T07:59:40.9069062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9069130Z x = self.forward_features(x) 2025-09-07T07:59:40.9069352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9069412Z x = self.blocks(x) 2025-09-07T07:59:40.9069618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.9069687Z x = self.bn2(x) 2025-09-07T07:59:40.9069872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9069939Z x = self.act(x) 2025-09-07T07:59:40.9069957Z 2025-09-07T07:59:40.9070053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9070245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9070307Z return mod(*inputs) 2025-09-07T07:59:40.9070499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9070575Z x = self.forward_features(x) 2025-09-07T07:59:40.9070789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9070858Z x = self.blocks(x) 2025-09-07T07:59:40.9071067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9071139Z x = self.se(x) 2025-09-07T07:59:40.9071369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9071438Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9071441Z 2025-09-07T07:59:40.9071545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9071733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9071798Z return mod(*inputs) 2025-09-07T07:59:40.9072001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9072068Z x = self.forward_features(x) 2025-09-07T07:59:40.9072293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9072355Z x = self.blocks(x) 2025-09-07T07:59:40.9072567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9072637Z x = self.se(x) 2025-09-07T07:59:40.9072847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9072920Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9072940Z 2025-09-07T07:59:40.9073038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9073229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9073293Z return mod(*inputs) 2025-09-07T07:59:40.9073489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9073565Z x = self.forward_features(x) 2025-09-07T07:59:40.9073784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9073854Z x = self.blocks(x) 2025-09-07T07:59:40.9074062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9074122Z x = self.se(x) 2025-09-07T07:59:40.9074337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9074407Z return x * self.gate(x_se) 2025-09-07T07:59:40.9074409Z 2025-09-07T07:59:40.9074517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9074698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9074763Z return mod(*inputs) 2025-09-07T07:59:40.9074963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9075031Z x = self.forward_features(x) 2025-09-07T07:59:40.9075251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9075316Z x = self.blocks(x) 2025-09-07T07:59:40.9075537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9075606Z x = self.se(x) 2025-09-07T07:59:40.9075815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9075891Z return x * self.gate(x_se) 2025-09-07T07:59:40.9075893Z 2025-09-07T07:59:40.9075990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9076182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9076245Z return mod(*inputs) 2025-09-07T07:59:40.9076442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9076521Z x = self.forward_features(x) 2025-09-07T07:59:40.9076739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9076822Z x = self.blocks(x) 2025-09-07T07:59:40.9077049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9077109Z x = self.se(x) 2025-09-07T07:59:40.9077326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9077393Z return x * self.gate(x_se) 2025-09-07T07:59:40.9077395Z 2025-09-07T07:59:40.9077502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9077685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9077749Z return mod(*inputs) 2025-09-07T07:59:40.9077955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9078024Z x = self.forward_features(x) 2025-09-07T07:59:40.9078251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9078316Z x = self.blocks(x) 2025-09-07T07:59:40.9078535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9078616Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9078808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9078917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9079121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9079229Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9079232Z 2025-09-07T07:59:40.9079333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9079520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9079590Z return mod(*inputs) 2025-09-07T07:59:40.9079790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9079865Z x = self.forward_features(x) 2025-09-07T07:59:40.9080083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9080145Z x = self.blocks(x) 2025-09-07T07:59:40.9080361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9080427Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9080625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9080723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9080933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9081034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9081050Z 2025-09-07T07:59:40.9081150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9081345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9081409Z return mod(*inputs) 2025-09-07T07:59:40.9081648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9081716Z x = self.forward_features(x) 2025-09-07T07:59:40.9081936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9082005Z x = self.blocks(x) 2025-09-07T07:59:40.9082215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9082322Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9082536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9082641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9082858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9082962Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9082964Z 2025-09-07T07:59:40.9083070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9083254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9083323Z return mod(*inputs) 2025-09-07T07:59:40.9083520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9083589Z x = self.forward_features(x) 2025-09-07T07:59:40.9083811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9083875Z x = self.blocks(x) 2025-09-07T07:59:40.9084094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9084183Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9084374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9084481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9084681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9084785Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9084787Z 2025-09-07T07:59:40.9084867Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9084944Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9085051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9085240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9085312Z return mod(*inputs) 2025-09-07T07:59:40.9085508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9085577Z x = self.forward_features(x) 2025-09-07T07:59:40.9085802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9085862Z x = self.blocks(x) 2025-09-07T07:59:40.9086077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9086141Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9086343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9086414Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9086417Z 2025-09-07T07:59:40.9086517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9086732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9086796Z return mod(*inputs) 2025-09-07T07:59:40.9087002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9087072Z x = self.forward_features(x) 2025-09-07T07:59:40.9087293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9087363Z x = self.blocks(x) 2025-09-07T07:59:40.9087574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.9087655Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.9087658Z 2025-09-07T07:59:40.9087770Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9087973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9088048Z return mod(*inputs) 2025-09-07T07:59:40.9088244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9088321Z x = self.forward_features(x) 2025-09-07T07:59:40.9088537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9088604Z x = self.blocks(x) 2025-09-07T07:59:40.9088812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9088876Z x = self.conv_pw(x) 2025-09-07T07:59:40.9089076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9089174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9089389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9089487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9089490Z 2025-09-07T07:59:40.9089588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9089793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9089857Z return mod(*inputs) 2025-09-07T07:59:40.9090064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9090130Z x = self.forward_features(x) 2025-09-07T07:59:40.9090346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9090415Z x = self.blocks(x) 2025-09-07T07:59:40.9090625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9090698Z x = self.conv_pw(x) 2025-09-07T07:59:40.9090892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9090990Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9091199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9091295Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9091298Z 2025-09-07T07:59:40.9091404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9091587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9091658Z return mod(*inputs) 2025-09-07T07:59:40.9091854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9091923Z x = self.forward_features(x) 2025-09-07T07:59:40.9092163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9092227Z x = self.blocks(x) 2025-09-07T07:59:40.9092446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9092510Z x = self.conv_pw(x) 2025-09-07T07:59:40.9092705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9092811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9093010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9093116Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9093118Z 2025-09-07T07:59:40.9093216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9093425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9093505Z return mod(*inputs) 2025-09-07T07:59:40.9093700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9093777Z x = self.forward_features(x) 2025-09-07T07:59:40.9093991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9094059Z x = self.blocks(x) 2025-09-07T07:59:40.9094266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9094328Z x = self.conv_pw(x) 2025-09-07T07:59:40.9094524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9094622Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9094829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9094925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9094928Z 2025-09-07T07:59:40.9095006Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9095103Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9095201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9095395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9095461Z return mod(*inputs) 2025-09-07T07:59:40.9095656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9095734Z x = self.forward_features(x) 2025-09-07T07:59:40.9095951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9096020Z x = self.blocks(x) 2025-09-07T07:59:40.9096232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:59:40.9096302Z x = self.conv_pw(x) 2025-09-07T07:59:40.9096494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9096561Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9096564Z 2025-09-07T07:59:40.9096666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9096851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9096921Z return mod(*inputs) 2025-09-07T07:59:40.9097116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9097184Z x = self.forward_features(x) 2025-09-07T07:59:40.9097410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9097472Z x = self.blocks(x) 2025-09-07T07:59:40.9097706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9097771Z x = self.conv_dw(x) 2025-09-07T07:59:40.9097967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9098075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9098273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9098377Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9098379Z 2025-09-07T07:59:40.9098478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9098671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9098753Z return mod(*inputs) 2025-09-07T07:59:40.9098966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9099047Z x = self.forward_features(x) 2025-09-07T07:59:40.9099263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9099333Z x = self.blocks(x) 2025-09-07T07:59:40.9099544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9099608Z x = self.conv_dw(x) 2025-09-07T07:59:40.9099806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9099903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9100108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9100206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9100209Z 2025-09-07T07:59:40.9100307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9100500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9100578Z return mod(*inputs) 2025-09-07T07:59:40.9100781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9100851Z x = self.forward_features(x) 2025-09-07T07:59:40.9101074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9101137Z x = self.blocks(x) 2025-09-07T07:59:40.9101344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9101415Z x = self.conv_dw(x) 2025-09-07T07:59:40.9101605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9101713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9101914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9102011Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9102014Z 2025-09-07T07:59:40.9102117Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9102298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9102368Z return mod(*inputs) 2025-09-07T07:59:40.9102561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9102627Z x = self.forward_features(x) 2025-09-07T07:59:40.9102848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9102911Z x = self.blocks(x) 2025-09-07T07:59:40.9103142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9103207Z x = self.conv_dw(x) 2025-09-07T07:59:40.9103397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9103504Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9103701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9103805Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9103808Z 2025-09-07T07:59:40.9103907Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9104093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9104173Z return mod(*inputs) 2025-09-07T07:59:40.9104385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9104465Z x = self.forward_features(x) 2025-09-07T07:59:40.9104682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9104754Z x = self.blocks(x) 2025-09-07T07:59:40.9104964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9105027Z x = self.conv_dw(x) 2025-09-07T07:59:40.9105227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9105323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9105528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9105625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9105627Z 2025-09-07T07:59:40.9105734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9105920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9106006Z return mod(*inputs) 2025-09-07T07:59:40.9106213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9106281Z x = self.forward_features(x) 2025-09-07T07:59:40.9106506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9106568Z x = self.blocks(x) 2025-09-07T07:59:40.9106780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9106852Z x = self.conv_dw(x) 2025-09-07T07:59:40.9107045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9107149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9107350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9107447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9107451Z 2025-09-07T07:59:40.9107553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9107734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9107803Z return mod(*inputs) 2025-09-07T07:59:40.9107996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9108071Z x = self.forward_features(x) 2025-09-07T07:59:40.9108285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9108348Z x = self.blocks(x) 2025-09-07T07:59:40.9108581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9108645Z x = self.conv_dw(x) 2025-09-07T07:59:40.9108851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9108951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9109150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9109256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9109259Z 2025-09-07T07:59:40.9109358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9109551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9109634Z return mod(*inputs) 2025-09-07T07:59:40.9109843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9109922Z x = self.forward_features(x) 2025-09-07T07:59:40.9110139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9110210Z x = self.blocks(x) 2025-09-07T07:59:40.9110420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9110484Z x = self.conv_dw(x) 2025-09-07T07:59:40.9110683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9110781Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9110987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9111083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9111086Z 2025-09-07T07:59:40.9111170Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9111251Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9111326Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9111407Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9111522Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9111716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9111778Z return mod(*inputs) 2025-09-07T07:59:40.9111978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9112053Z x = self.forward_features(x) 2025-09-07T07:59:40.9112271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9112340Z x = self.blocks(x) 2025-09-07T07:59:40.9112548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9112612Z x = self.conv_dw(x) 2025-09-07T07:59:40.9112818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9112888Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9112891Z 2025-09-07T07:59:40.9112999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9113183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9113246Z return mod(*inputs) 2025-09-07T07:59:40.9113449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9113517Z x = self.forward_features(x) 2025-09-07T07:59:40.9113747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9113810Z x = self.blocks(x) 2025-09-07T07:59:40.9114046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.9114109Z x = self.bn2(x) 2025-09-07T07:59:40.9114297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:59:40.9114365Z x = F.batch_norm( 2025-09-07T07:59:40.9114368Z 2025-09-07T07:59:40.9114463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9114658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9114720Z return mod(*inputs) 2025-09-07T07:59:40.9114915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9114994Z x = self.forward_features(x) 2025-09-07T07:59:40.9115215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9115298Z x = self.blocks(x) 2025-09-07T07:59:40.9115523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:59:40.9115583Z x = self.bn2(x) 2025-09-07T07:59:40.9115781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9115842Z x = self.act(x) 2025-09-07T07:59:40.9115844Z 2025-09-07T07:59:40.9115949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9116128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9116191Z return mod(*inputs) 2025-09-07T07:59:40.9116392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9116459Z x = self.forward_features(x) 2025-09-07T07:59:40.9116689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9116752Z x = self.blocks(x) 2025-09-07T07:59:40.9116964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9117042Z x = self.se(x) 2025-09-07T07:59:40.9117251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9117328Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9117331Z 2025-09-07T07:59:40.9117429Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9117618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9117677Z return mod(*inputs) 2025-09-07T07:59:40.9117880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9117957Z x = self.forward_features(x) 2025-09-07T07:59:40.9118177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9118243Z x = self.blocks(x) 2025-09-07T07:59:40.9118453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9118515Z x = self.se(x) 2025-09-07T07:59:40.9118728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9118792Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9118795Z 2025-09-07T07:59:40.9118897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9119082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9119145Z return mod(*inputs) 2025-09-07T07:59:40.9119348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9119417Z x = self.forward_features(x) 2025-09-07T07:59:40.9119653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9119717Z x = self.blocks(x) 2025-09-07T07:59:40.9119932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9119994Z x = self.se(x) 2025-09-07T07:59:40.9120200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9120272Z return x * self.gate(x_se) 2025-09-07T07:59:40.9120274Z 2025-09-07T07:59:40.9120370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9120560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9120622Z return mod(*inputs) 2025-09-07T07:59:40.9120836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9120924Z x = self.forward_features(x) 2025-09-07T07:59:40.9121137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9121209Z x = self.blocks(x) 2025-09-07T07:59:40.9121415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9121473Z x = self.se(x) 2025-09-07T07:59:40.9121685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9121748Z return x * self.gate(x_se) 2025-09-07T07:59:40.9121750Z 2025-09-07T07:59:40.9121853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9122036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9122108Z return mod(*inputs) 2025-09-07T07:59:40.9122300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9122370Z x = self.forward_features(x) 2025-09-07T07:59:40.9122593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9122669Z x = self.blocks(x) 2025-09-07T07:59:40.9122887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9122947Z x = self.se(x) 2025-09-07T07:59:40.9123156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9123233Z return x * self.gate(x_se) 2025-09-07T07:59:40.9123236Z 2025-09-07T07:59:40.9123332Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9123524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9123590Z return mod(*inputs) 2025-09-07T07:59:40.9123795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9123871Z x = self.forward_features(x) 2025-09-07T07:59:40.9124096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9124167Z x = self.blocks(x) 2025-09-07T07:59:40.9124381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9124446Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9124648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9124749Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9124959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9125063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9125066Z 2025-09-07T07:59:40.9125186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9125370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9125436Z return mod(*inputs) 2025-09-07T07:59:40.9125641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9125709Z x = self.forward_features(x) 2025-09-07T07:59:40.9125934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9125995Z x = self.blocks(x) 2025-09-07T07:59:40.9126199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9126287Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9126500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9126608Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9126805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9126903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9126913Z 2025-09-07T07:59:40.9127007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9127193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9127266Z return mod(*inputs) 2025-09-07T07:59:40.9127466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9127541Z x = self.forward_features(x) 2025-09-07T07:59:40.9127764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9127828Z x = self.blocks(x) 2025-09-07T07:59:40.9128043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9128125Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9128325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9128424Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9128623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9128725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9128728Z 2025-09-07T07:59:40.9128825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9129014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9129080Z return mod(*inputs) 2025-09-07T07:59:40.9129272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9129349Z x = self.forward_features(x) 2025-09-07T07:59:40.9129570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9129639Z x = self.blocks(x) 2025-09-07T07:59:40.9129849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9129923Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9130110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9130209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9130415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9130514Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9130518Z 2025-09-07T07:59:40.9130620Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9130701Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9130803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9130998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9131063Z return mod(*inputs) 2025-09-07T07:59:40.9131269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9131341Z x = self.forward_features(x) 2025-09-07T07:59:40.9131563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9131633Z x = self.blocks(x) 2025-09-07T07:59:40.9131858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9131929Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9132131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9132197Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9132208Z 2025-09-07T07:59:40.9132305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9132491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9132560Z return mod(*inputs) 2025-09-07T07:59:40.9132753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9132830Z x = self.forward_features(x) 2025-09-07T07:59:40.9133047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9133112Z x = self.blocks(x) 2025-09-07T07:59:40.9133332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.9133406Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.9133409Z 2025-09-07T07:59:40.9133516Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9133713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9133776Z return mod(*inputs) 2025-09-07T07:59:40.9133980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9134049Z x = self.forward_features(x) 2025-09-07T07:59:40.9134268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9134329Z x = self.blocks(x) 2025-09-07T07:59:40.9134538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.9134608Z x = self.bn1(x) 2025-09-07T07:59:40.9134800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9134867Z x = self.act(x) 2025-09-07T07:59:40.9134870Z 2025-09-07T07:59:40.9134964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9135157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9135220Z return mod(*inputs) 2025-09-07T07:59:40.9135412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9135489Z x = self.forward_features(x) 2025-09-07T07:59:40.9135706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9135777Z x = self.blocks(x) 2025-09-07T07:59:40.9135987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.9136050Z x = self.bn1(x) 2025-09-07T07:59:40.9136259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9136320Z x = self.act(x) 2025-09-07T07:59:40.9136325Z 2025-09-07T07:59:40.9136432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9136620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9136685Z return mod(*inputs) 2025-09-07T07:59:40.9136889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9136960Z x = self.forward_features(x) 2025-09-07T07:59:40.9137187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9137245Z x = self.blocks(x) 2025-09-07T07:59:40.9137469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9137555Z x = self.conv_dw(x) 2025-09-07T07:59:40.9137750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9137861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9138060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9138166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9138169Z 2025-09-07T07:59:40.9138267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9138452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9138521Z return mod(*inputs) 2025-09-07T07:59:40.9138715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9138795Z x = self.forward_features(x) 2025-09-07T07:59:40.9139013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9139074Z x = self.blocks(x) 2025-09-07T07:59:40.9139304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9139368Z x = self.conv_dw(x) 2025-09-07T07:59:40.9139566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9139661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9139861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9139966Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9139970Z 2025-09-07T07:59:40.9140067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9140260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9140323Z return mod(*inputs) 2025-09-07T07:59:40.9140525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9140596Z x = self.forward_features(x) 2025-09-07T07:59:40.9140812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9140884Z x = self.blocks(x) 2025-09-07T07:59:40.9141093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9141164Z x = self.conv_dw(x) 2025-09-07T07:59:40.9141355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9141453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9141678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9141776Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9141781Z 2025-09-07T07:59:40.9141886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9142067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9142131Z return mod(*inputs) 2025-09-07T07:59:40.9142333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9142402Z x = self.forward_features(x) 2025-09-07T07:59:40.9142625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9142686Z x = self.blocks(x) 2025-09-07T07:59:40.9142920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9142997Z x = self.conv_dw(x) 2025-09-07T07:59:40.9143189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9143294Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9143492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9143596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9143598Z 2025-09-07T07:59:40.9143694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9143884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9143955Z return mod(*inputs) 2025-09-07T07:59:40.9144150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9144226Z x = self.forward_features(x) 2025-09-07T07:59:40.9144445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9144505Z x = self.blocks(x) 2025-09-07T07:59:40.9144737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9144798Z x = self.conv_dw(x) 2025-09-07T07:59:40.9144996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9145090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9145295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9145389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9145393Z 2025-09-07T07:59:40.9145490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9145682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9145746Z return mod(*inputs) 2025-09-07T07:59:40.9145947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9146017Z x = self.forward_features(x) 2025-09-07T07:59:40.9146233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9146302Z x = self.blocks(x) 2025-09-07T07:59:40.9146510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9146581Z x = self.conv_dw(x) 2025-09-07T07:59:40.9146770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9146867Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9147073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9147181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9147184Z 2025-09-07T07:59:40.9147291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9147474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9147543Z return mod(*inputs) 2025-09-07T07:59:40.9147739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9147808Z x = self.forward_features(x) 2025-09-07T07:59:40.9148031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9148092Z x = self.blocks(x) 2025-09-07T07:59:40.9148330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9148439Z x = self.conv_dw(x) 2025-09-07T07:59:40.9148634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9148738Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9148939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9149044Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9149047Z 2025-09-07T07:59:40.9149145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9149331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9149401Z return mod(*inputs) 2025-09-07T07:59:40.9149598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9149673Z x = self.forward_features(x) 2025-09-07T07:59:40.9149892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9149962Z x = self.blocks(x) 2025-09-07T07:59:40.9150173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9150253Z x = self.conv_dw(x) 2025-09-07T07:59:40.9150452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9150551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9150760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9150856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9150859Z 2025-09-07T07:59:40.9150939Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9151025Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9151102Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9151185Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9151284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9151473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9151543Z return mod(*inputs) 2025-09-07T07:59:40.9151743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9151821Z x = self.forward_features(x) 2025-09-07T07:59:40.9152041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9152102Z x = self.blocks(x) 2025-09-07T07:59:40.9152324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9152390Z x = self.conv_dw(x) 2025-09-07T07:59:40.9152606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9152672Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9152675Z 2025-09-07T07:59:40.9152752Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9152856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9153044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9153114Z return mod(*inputs) 2025-09-07T07:59:40.9153315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9153390Z x = self.forward_features(x) 2025-09-07T07:59:40.9153616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9153694Z x = self.blocks(x) 2025-09-07T07:59:40.9153923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9153982Z x = self.se(x) 2025-09-07T07:59:40.9154202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:59:40.9154278Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:59:40.9154281Z 2025-09-07T07:59:40.9154378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9154570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9154635Z return mod(*inputs) 2025-09-07T07:59:40.9154838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9154906Z x = self.forward_features(x) 2025-09-07T07:59:40.9155126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9155197Z x = self.blocks(x) 2025-09-07T07:59:40.9155410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9155476Z x = self.se(x) 2025-09-07T07:59:40.9155680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9155763Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9155772Z 2025-09-07T07:59:40.9155872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9156055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9156125Z return mod(*inputs) 2025-09-07T07:59:40.9156323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9156396Z x = self.forward_features(x) 2025-09-07T07:59:40.9156615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9156678Z x = self.blocks(x) 2025-09-07T07:59:40.9156893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9156954Z x = self.se(x) 2025-09-07T07:59:40.9157168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9157233Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9157236Z 2025-09-07T07:59:40.9157333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9157521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9157585Z return mod(*inputs) 2025-09-07T07:59:40.9157787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9157859Z x = self.forward_features(x) 2025-09-07T07:59:40.9158075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9158155Z x = self.blocks(x) 2025-09-07T07:59:40.9158365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9158433Z x = self.se(x) 2025-09-07T07:59:40.9158643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9158710Z return x * self.gate(x_se) 2025-09-07T07:59:40.9158721Z 2025-09-07T07:59:40.9158818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9159001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9159072Z return mod(*inputs) 2025-09-07T07:59:40.9159270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9159361Z x = self.forward_features(x) 2025-09-07T07:59:40.9159601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9159663Z x = self.blocks(x) 2025-09-07T07:59:40.9159878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9159939Z x = self.se(x) 2025-09-07T07:59:40.9160152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9160220Z return x * self.gate(x_se) 2025-09-07T07:59:40.9160223Z 2025-09-07T07:59:40.9160319Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9160508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9160571Z return mod(*inputs) 2025-09-07T07:59:40.9160778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9160846Z x = self.forward_features(x) 2025-09-07T07:59:40.9161064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9161149Z x = self.blocks(x) 2025-09-07T07:59:40.9161363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9161429Z x = self.se(x) 2025-09-07T07:59:40.9161636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9161702Z return x * self.gate(x_se) 2025-09-07T07:59:40.9161710Z 2025-09-07T07:59:40.9161808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9161996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9162071Z return mod(*inputs) 2025-09-07T07:59:40.9162272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9162347Z x = self.forward_features(x) 2025-09-07T07:59:40.9162568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9162632Z x = self.blocks(x) 2025-09-07T07:59:40.9162852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9162922Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9162925Z 2025-09-07T07:59:40.9163030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9163221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9163280Z return mod(*inputs) 2025-09-07T07:59:40.9163484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9163554Z x = self.forward_features(x) 2025-09-07T07:59:40.9163792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9163852Z x = self.blocks(x) 2025-09-07T07:59:40.9164062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9164135Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9164138Z 2025-09-07T07:59:40.9164236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9164423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9164488Z return mod(*inputs) 2025-09-07T07:59:40.9164692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9164758Z x = self.forward_features(x) 2025-09-07T07:59:40.9164983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9165067Z x = self.blocks(x) 2025-09-07T07:59:40.9165277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.9165343Z x = self.bn1(x) 2025-09-07T07:59:40.9165529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9165591Z x = self.act(x) 2025-09-07T07:59:40.9165594Z 2025-09-07T07:59:40.9165699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9165880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9165951Z return mod(*inputs) 2025-09-07T07:59:40.9166144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9166213Z x = self.forward_features(x) 2025-09-07T07:59:40.9166442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9166503Z x = self.blocks(x) 2025-09-07T07:59:40.9166720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.9166790Z x = self.bn1(x) 2025-09-07T07:59:40.9166980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9167048Z x = self.act(x) 2025-09-07T07:59:40.9167051Z 2025-09-07T07:59:40.9167149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9167342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9167403Z return mod(*inputs) 2025-09-07T07:59:40.9167609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9167674Z x = self.forward_features(x) 2025-09-07T07:59:40.9167900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9167969Z x = self.blocks(x) 2025-09-07T07:59:40.9168182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9168254Z x = self.conv_dw(x) 2025-09-07T07:59:40.9168444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9168546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9168754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9168850Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9168853Z 2025-09-07T07:59:40.9168957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9169144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9169208Z return mod(*inputs) 2025-09-07T07:59:40.9169435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9169506Z x = self.forward_features(x) 2025-09-07T07:59:40.9169732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9169793Z x = self.blocks(x) 2025-09-07T07:59:40.9170011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9170072Z x = self.conv_dw(x) 2025-09-07T07:59:40.9170262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9170369Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9170603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9170709Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9170712Z 2025-09-07T07:59:40.9170806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9170994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9171064Z return mod(*inputs) 2025-09-07T07:59:40.9171260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9171331Z x = self.forward_features(x) 2025-09-07T07:59:40.9171550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9171611Z x = self.blocks(x) 2025-09-07T07:59:40.9171825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9171889Z x = self.conv_dw(x) 2025-09-07T07:59:40.9172093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9172192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9172413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9172509Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9172512Z 2025-09-07T07:59:40.9172612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9172798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9172862Z return mod(*inputs) 2025-09-07T07:59:40.9173066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9173134Z x = self.forward_features(x) 2025-09-07T07:59:40.9173352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9173422Z x = self.blocks(x) 2025-09-07T07:59:40.9173635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9173702Z x = self.conv_dw(x) 2025-09-07T07:59:40.9173892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9173989Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9174200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9174299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9174302Z 2025-09-07T07:59:40.9174408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9174596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9174671Z return mod(*inputs) 2025-09-07T07:59:40.9174882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9174949Z x = self.forward_features(x) 2025-09-07T07:59:40.9175177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9175240Z x = self.blocks(x) 2025-09-07T07:59:40.9175461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9175522Z x = self.conv_dw(x) 2025-09-07T07:59:40.9175713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9175821Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9176035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9176154Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9176157Z 2025-09-07T07:59:40.9176254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9176438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9176509Z return mod(*inputs) 2025-09-07T07:59:40.9176705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9176780Z x = self.forward_features(x) 2025-09-07T07:59:40.9176998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9177065Z x = self.blocks(x) 2025-09-07T07:59:40.9177274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9177339Z x = self.conv_dw(x) 2025-09-07T07:59:40.9177539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9177638Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9177859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9177954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9177957Z 2025-09-07T07:59:40.9178050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9178239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9178303Z return mod(*inputs) 2025-09-07T07:59:40.9178504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9178574Z x = self.forward_features(x) 2025-09-07T07:59:40.9178794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9178866Z x = self.blocks(x) 2025-09-07T07:59:40.9179076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9179143Z x = self.conv_dw(x) 2025-09-07T07:59:40.9179336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9179441Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9179639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9179735Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9179738Z 2025-09-07T07:59:40.9179844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9180031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9180098Z return mod(*inputs) 2025-09-07T07:59:40.9180310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9180381Z x = self.forward_features(x) 2025-09-07T07:59:40.9180611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9180672Z x = self.blocks(x) 2025-09-07T07:59:40.9180885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9180946Z x = self.conv_dw(x) 2025-09-07T07:59:40.9181137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9181242Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9181455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9181609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9181613Z 2025-09-07T07:59:40.9181694Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9181779Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9181855Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9181928Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9182034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9182223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9182293Z return mod(*inputs) 2025-09-07T07:59:40.9182489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9182558Z x = self.forward_features(x) 2025-09-07T07:59:40.9182786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9182850Z x = self.blocks(x) 2025-09-07T07:59:40.9183067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9183157Z x = self.conv_dw(x) 2025-09-07T07:59:40.9183351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9183425Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9183428Z 2025-09-07T07:59:40.9183502Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9183604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9183791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9183854Z return mod(*inputs) 2025-09-07T07:59:40.9184056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9184128Z x = self.forward_features(x) 2025-09-07T07:59:40.9184360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9184425Z x = self.blocks(x) 2025-09-07T07:59:40.9184637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9184701Z x = self.se(x) 2025-09-07T07:59:40.9184915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:59:40.9184997Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:59:40.9185001Z 2025-09-07T07:59:40.9185101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9185299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9185363Z return mod(*inputs) 2025-09-07T07:59:40.9185571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9185646Z x = self.forward_features(x) 2025-09-07T07:59:40.9185891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9185959Z x = self.blocks(x) 2025-09-07T07:59:40.9186168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9186228Z x = self.se(x) 2025-09-07T07:59:40.9186445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9186514Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9186517Z 2025-09-07T07:59:40.9186625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9186808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9186892Z return mod(*inputs) 2025-09-07T07:59:40.9187116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9187188Z x = self.forward_features(x) 2025-09-07T07:59:40.9187417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9187483Z x = self.blocks(x) 2025-09-07T07:59:40.9187689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9187756Z x = self.se(x) 2025-09-07T07:59:40.9187963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9188034Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9188037Z 2025-09-07T07:59:40.9188134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9188326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9188394Z return mod(*inputs) 2025-09-07T07:59:40.9188596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9188671Z x = self.forward_features(x) 2025-09-07T07:59:40.9188890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9188979Z x = self.blocks(x) 2025-09-07T07:59:40.9189184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9189241Z x = self.se(x) 2025-09-07T07:59:40.9189456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9189522Z return x * self.gate(x_se) 2025-09-07T07:59:40.9189525Z 2025-09-07T07:59:40.9189628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9189807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9189870Z return mod(*inputs) 2025-09-07T07:59:40.9190071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9190141Z x = self.forward_features(x) 2025-09-07T07:59:40.9190364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9190424Z x = self.blocks(x) 2025-09-07T07:59:40.9190634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9190700Z x = self.se(x) 2025-09-07T07:59:40.9190906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9190979Z return x * self.gate(x_se) 2025-09-07T07:59:40.9190983Z 2025-09-07T07:59:40.9191077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9191267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9191359Z return mod(*inputs) 2025-09-07T07:59:40.9191560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9191632Z x = self.forward_features(x) 2025-09-07T07:59:40.9191851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9191919Z x = self.blocks(x) 2025-09-07T07:59:40.9192129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9192186Z x = self.se(x) 2025-09-07T07:59:40.9192403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9192482Z return x * self.gate(x_se) 2025-09-07T07:59:40.9192485Z 2025-09-07T07:59:40.9192572Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9192685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9192871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9192942Z return mod(*inputs) 2025-09-07T07:59:40.9193137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9193209Z x = self.forward_features(x) 2025-09-07T07:59:40.9193424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9193484Z x = self.blocks(x) 2025-09-07T07:59:40.9193697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9193760Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9193964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9194068Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9194277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9194388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9194391Z 2025-09-07T07:59:40.9194487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9194679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9194740Z return mod(*inputs) 2025-09-07T07:59:40.9194939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9195008Z x = self.forward_features(x) 2025-09-07T07:59:40.9195224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9195295Z x = self.blocks(x) 2025-09-07T07:59:40.9195505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9195573Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9195765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9195865Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9196071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9196164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9196167Z 2025-09-07T07:59:40.9196252Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9196352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9196542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9196607Z return mod(*inputs) 2025-09-07T07:59:40.9196821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9196896Z x = self.forward_features(x) 2025-09-07T07:59:40.9197112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9197181Z x = self.blocks(x) 2025-09-07T07:59:40.9197385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9197452Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9197651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9197751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9197957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9198068Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9198084Z 2025-09-07T07:59:40.9198194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9198379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9198440Z return mod(*inputs) 2025-09-07T07:59:40.9198644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9198712Z x = self.forward_features(x) 2025-09-07T07:59:40.9198938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9199000Z x = self.blocks(x) 2025-09-07T07:59:40.9199212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9199283Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9199475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9199581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9199783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9199889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9199892Z 2025-09-07T07:59:40.9199977Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9200053Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9200158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9200341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9200404Z return mod(*inputs) 2025-09-07T07:59:40.9200608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9200678Z x = self.forward_features(x) 2025-09-07T07:59:40.9200901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9200965Z x = self.blocks(x) 2025-09-07T07:59:40.9201177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9201247Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9201438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9201511Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9201514Z 2025-09-07T07:59:40.9201610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9201798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9201863Z return mod(*inputs) 2025-09-07T07:59:40.9202061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9202137Z x = self.forward_features(x) 2025-09-07T07:59:40.9202370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9202440Z x = self.blocks(x) 2025-09-07T07:59:40.9202656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.9202724Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.9202727Z 2025-09-07T07:59:40.9202832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9203018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9203085Z return mod(*inputs) 2025-09-07T07:59:40.9203285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9203370Z x = self.forward_features(x) 2025-09-07T07:59:40.9203617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9203683Z x = self.blocks(x) 2025-09-07T07:59:40.9203896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.9203957Z x = self.bn1(x) 2025-09-07T07:59:40.9204149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9204209Z x = self.act(x) 2025-09-07T07:59:40.9204212Z 2025-09-07T07:59:40.9204305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9204494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9204558Z return mod(*inputs) 2025-09-07T07:59:40.9204759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9204828Z x = self.forward_features(x) 2025-09-07T07:59:40.9205045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9205116Z x = self.blocks(x) 2025-09-07T07:59:40.9205325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.9205409Z x = self.bn1(x) 2025-09-07T07:59:40.9205598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9205657Z x = self.act(x) 2025-09-07T07:59:40.9205661Z 2025-09-07T07:59:40.9205767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9205950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9206016Z return mod(*inputs) 2025-09-07T07:59:40.9206221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9206292Z x = self.forward_features(x) 2025-09-07T07:59:40.9206517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9206579Z x = self.blocks(x) 2025-09-07T07:59:40.9206799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9206860Z x = self.conv_dw(x) 2025-09-07T07:59:40.9207066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9207163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9207367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9207476Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9207480Z 2025-09-07T07:59:40.9207576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9207784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9207849Z return mod(*inputs) 2025-09-07T07:59:40.9208050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9208127Z x = self.forward_features(x) 2025-09-07T07:59:40.9208348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9208413Z x = self.blocks(x) 2025-09-07T07:59:40.9208628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9208690Z x = self.conv_dw(x) 2025-09-07T07:59:40.9208887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9209002Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9209231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9209331Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9209335Z 2025-09-07T07:59:40.9209441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9209625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9209689Z return mod(*inputs) 2025-09-07T07:59:40.9209888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9209957Z x = self.forward_features(x) 2025-09-07T07:59:40.9210184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9210248Z x = self.blocks(x) 2025-09-07T07:59:40.9210456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9210529Z x = self.conv_dw(x) 2025-09-07T07:59:40.9210722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9210838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9211036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9211133Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9211142Z 2025-09-07T07:59:40.9211237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9211418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9211491Z return mod(*inputs) 2025-09-07T07:59:40.9211685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9211761Z x = self.forward_features(x) 2025-09-07T07:59:40.9211983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9212044Z x = self.blocks(x) 2025-09-07T07:59:40.9212268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9212331Z x = self.conv_dw(x) 2025-09-07T07:59:40.9212531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9212629Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9212829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9212933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9212938Z 2025-09-07T07:59:40.9213036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9213227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9213308Z return mod(*inputs) 2025-09-07T07:59:40.9213507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9213586Z x = self.forward_features(x) 2025-09-07T07:59:40.9213803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9213871Z x = self.blocks(x) 2025-09-07T07:59:40.9214081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9214153Z x = self.conv_dw(x) 2025-09-07T07:59:40.9214348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9214466Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9214695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9214794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9214797Z 2025-09-07T07:59:40.9214908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9215095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9215160Z return mod(*inputs) 2025-09-07T07:59:40.9215367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9215436Z x = self.forward_features(x) 2025-09-07T07:59:40.9215660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9215722Z x = self.blocks(x) 2025-09-07T07:59:40.9215934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9216006Z x = self.conv_dw(x) 2025-09-07T07:59:40.9216200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9216307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9216523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9216628Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9216631Z 2025-09-07T07:59:40.9216728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9216915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9216989Z return mod(*inputs) 2025-09-07T07:59:40.9217185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9217265Z x = self.forward_features(x) 2025-09-07T07:59:40.9217486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9217548Z x = self.blocks(x) 2025-09-07T07:59:40.9217766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9217833Z x = self.conv_dw(x) 2025-09-07T07:59:40.9218030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9218127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9218328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9218430Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9218432Z 2025-09-07T07:59:40.9218532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9218725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9218806Z return mod(*inputs) 2025-09-07T07:59:40.9219012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9219084Z x = self.forward_features(x) 2025-09-07T07:59:40.9219302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9219373Z x = self.blocks(x) 2025-09-07T07:59:40.9219581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9219648Z x = self.conv_dw(x) 2025-09-07T07:59:40.9219838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9219950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9220173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9220272Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9220275Z 2025-09-07T07:59:40.9220365Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9220441Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9220516Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9220600Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9220700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9220892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9220957Z return mod(*inputs) 2025-09-07T07:59:40.9221157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9221236Z x = self.forward_features(x) 2025-09-07T07:59:40.9221457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9221530Z x = self.blocks(x) 2025-09-07T07:59:40.9221743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9221831Z x = self.conv_dw(x) 2025-09-07T07:59:40.9222025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9222092Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9222095Z 2025-09-07T07:59:40.9222178Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9222277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9222470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9222538Z return mod(*inputs) 2025-09-07T07:59:40.9222739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9222814Z x = self.forward_features(x) 2025-09-07T07:59:40.9223033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9223105Z x = self.blocks(x) 2025-09-07T07:59:40.9223320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9223381Z x = self.se(x) 2025-09-07T07:59:40.9223602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:59:40.9223678Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:59:40.9223681Z 2025-09-07T07:59:40.9223787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9223973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9224039Z return mod(*inputs) 2025-09-07T07:59:40.9224248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9224548Z x = self.forward_features(x) 2025-09-07T07:59:40.9224777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9224842Z x = self.blocks(x) 2025-09-07T07:59:40.9225065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9225127Z x = self.se(x) 2025-09-07T07:59:40.9225338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9225415Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9225418Z 2025-09-07T07:59:40.9225518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9225718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9225800Z return mod(*inputs) 2025-09-07T07:59:40.9226019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9226103Z x = self.forward_features(x) 2025-09-07T07:59:40.9226329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9226403Z x = self.blocks(x) 2025-09-07T07:59:40.9226615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9226674Z x = self.se(x) 2025-09-07T07:59:40.9226907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9226976Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9226979Z 2025-09-07T07:59:40.9227087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9227280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9227345Z return mod(*inputs) 2025-09-07T07:59:40.9227555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9227624Z x = self.forward_features(x) 2025-09-07T07:59:40.9227863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9227924Z x = self.blocks(x) 2025-09-07T07:59:40.9228141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9228201Z x = self.se(x) 2025-09-07T07:59:40.9228407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9228485Z return x * self.gate(x_se) 2025-09-07T07:59:40.9228488Z 2025-09-07T07:59:40.9228586Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9228784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9228851Z return mod(*inputs) 2025-09-07T07:59:40.9229047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9229126Z x = self.forward_features(x) 2025-09-07T07:59:40.9229340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9229411Z x = self.blocks(x) 2025-09-07T07:59:40.9229617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9229678Z x = self.se(x) 2025-09-07T07:59:40.9229891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9229960Z return x * self.gate(x_se) 2025-09-07T07:59:40.9229963Z 2025-09-07T07:59:40.9230068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9230264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9230331Z return mod(*inputs) 2025-09-07T07:59:40.9230536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9230607Z x = self.forward_features(x) 2025-09-07T07:59:40.9230832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9230895Z x = self.blocks(x) 2025-09-07T07:59:40.9231110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9231169Z x = self.se(x) 2025-09-07T07:59:40.9231378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9231477Z return x * self.gate(x_se) 2025-09-07T07:59:40.9231480Z 2025-09-07T07:59:40.9231596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9231790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9231856Z return mod(*inputs) 2025-09-07T07:59:40.9232053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9232127Z x = self.forward_features(x) 2025-09-07T07:59:40.9232344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9232415Z x = self.blocks(x) 2025-09-07T07:59:40.9232622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9232689Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9232889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9232994Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9233202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9233319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9233322Z 2025-09-07T07:59:40.9233424Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9233606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9233673Z return mod(*inputs) 2025-09-07T07:59:40.9233874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9233943Z x = self.forward_features(x) 2025-09-07T07:59:40.9234171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9234234Z x = self.blocks(x) 2025-09-07T07:59:40.9234446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9234521Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9234715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9234826Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9235029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9235128Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9235139Z 2025-09-07T07:59:40.9235238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9235422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9235498Z return mod(*inputs) 2025-09-07T07:59:40.9235696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9235786Z x = self.forward_features(x) 2025-09-07T07:59:40.9236005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9236070Z x = self.blocks(x) 2025-09-07T07:59:40.9236287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9236354Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9236555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9236655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9236856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9237014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9237017Z 2025-09-07T07:59:40.9237131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9237328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9237396Z return mod(*inputs) 2025-09-07T07:59:40.9237596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9237673Z x = self.forward_features(x) 2025-09-07T07:59:40.9237894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9237966Z x = self.blocks(x) 2025-09-07T07:59:40.9238177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9238250Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9238442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9238544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9238756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9238869Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9238872Z 2025-09-07T07:59:40.9238957Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9239034Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9239133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9239327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9239392Z return mod(*inputs) 2025-09-07T07:59:40.9239598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9239666Z x = self.forward_features(x) 2025-09-07T07:59:40.9239887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9239958Z x = self.blocks(x) 2025-09-07T07:59:40.9240170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9240245Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9240437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9240506Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9240516Z 2025-09-07T07:59:40.9240617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9240803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9240875Z return mod(*inputs) 2025-09-07T07:59:40.9241071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9241147Z x = self.forward_features(x) 2025-09-07T07:59:40.9241380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9241444Z x = self.blocks(x) 2025-09-07T07:59:40.9241668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.9241744Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.9241748Z 2025-09-07T07:59:40.9241848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9242032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9242093Z return mod(*inputs) 2025-09-07T07:59:40.9242296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9242360Z x = self.forward_features(x) 2025-09-07T07:59:40.9242594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9242653Z x = self.blocks(x) 2025-09-07T07:59:40.9242879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.9242945Z x = self.bn1(x) 2025-09-07T07:59:40.9243133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9243197Z x = self.act(x) 2025-09-07T07:59:40.9243200Z 2025-09-07T07:59:40.9243294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9243478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9243547Z return mod(*inputs) 2025-09-07T07:59:40.9243746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9243819Z x = self.forward_features(x) 2025-09-07T07:59:40.9244038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9244107Z x = self.blocks(x) 2025-09-07T07:59:40.9244319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:59:40.9244393Z x = self.bn1(x) 2025-09-07T07:59:40.9244585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9244646Z x = self.act(x) 2025-09-07T07:59:40.9244649Z 2025-09-07T07:59:40.9244752Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9244934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9244995Z return mod(*inputs) 2025-09-07T07:59:40.9245196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9245264Z x = self.forward_features(x) 2025-09-07T07:59:40.9245488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9245549Z x = self.blocks(x) 2025-09-07T07:59:40.9245755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9245827Z x = self.conv_dw(x) 2025-09-07T07:59:40.9246017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9246123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9246321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9246420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9246432Z 2025-09-07T07:59:40.9246529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9246717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9246789Z return mod(*inputs) 2025-09-07T07:59:40.9246998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9247076Z x = self.forward_features(x) 2025-09-07T07:59:40.9247296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9247356Z x = self.blocks(x) 2025-09-07T07:59:40.9247574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9247636Z x = self.conv_dw(x) 2025-09-07T07:59:40.9247839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9247941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9248152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9248274Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9248277Z 2025-09-07T07:59:40.9248378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9248576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9248642Z return mod(*inputs) 2025-09-07T07:59:40.9248842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9248907Z x = self.forward_features(x) 2025-09-07T07:59:40.9249121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9249191Z x = self.blocks(x) 2025-09-07T07:59:40.9249400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9249474Z x = self.conv_dw(x) 2025-09-07T07:59:40.9249667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9249764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9249987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9250085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9250088Z 2025-09-07T07:59:40.9250187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9250370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9250433Z return mod(*inputs) 2025-09-07T07:59:40.9250636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9250707Z x = self.forward_features(x) 2025-09-07T07:59:40.9250931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9250996Z x = self.blocks(x) 2025-09-07T07:59:40.9251212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9251281Z x = self.conv_dw(x) 2025-09-07T07:59:40.9251472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9251579Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9251775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9251875Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9251878Z 2025-09-07T07:59:40.9251976Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9252163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9252236Z return mod(*inputs) 2025-09-07T07:59:40.9252447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9252526Z x = self.forward_features(x) 2025-09-07T07:59:40.9252745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9252806Z x = self.blocks(x) 2025-09-07T07:59:40.9253021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9253084Z x = self.conv_dw(x) 2025-09-07T07:59:40.9253281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9253380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9253593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9253710Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9253713Z 2025-09-07T07:59:40.9253812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9254002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9254066Z return mod(*inputs) 2025-09-07T07:59:40.9254272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9254340Z x = self.forward_features(x) 2025-09-07T07:59:40.9254556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9254627Z x = self.blocks(x) 2025-09-07T07:59:40.9254838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9254910Z x = self.conv_dw(x) 2025-09-07T07:59:40.9255103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9255202Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9255421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9255515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9255517Z 2025-09-07T07:59:40.9255620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9255803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9255874Z return mod(*inputs) 2025-09-07T07:59:40.9256068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9256137Z x = self.forward_features(x) 2025-09-07T07:59:40.9256360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9256422Z x = self.blocks(x) 2025-09-07T07:59:40.9256641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9256706Z x = self.conv_dw(x) 2025-09-07T07:59:40.9256891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9256993Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9257191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9257293Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9257296Z 2025-09-07T07:59:40.9257393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9257578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9257651Z return mod(*inputs) 2025-09-07T07:59:40.9257861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9257938Z x = self.forward_features(x) 2025-09-07T07:59:40.9258159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9258232Z x = self.blocks(x) 2025-09-07T07:59:40.9258444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9258506Z x = self.conv_dw(x) 2025-09-07T07:59:40.9258702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9258797Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9259020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9259129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9259134Z 2025-09-07T07:59:40.9259213Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9259294Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9259372Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9259454Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9259552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9259738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9259813Z return mod(*inputs) 2025-09-07T07:59:40.9260012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9260092Z x = self.forward_features(x) 2025-09-07T07:59:40.9260315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9260380Z x = self.blocks(x) 2025-09-07T07:59:40.9260604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:59:40.9260666Z x = self.conv_dw(x) 2025-09-07T07:59:40.9260883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9260951Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9260954Z 2025-09-07T07:59:40.9261028Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9261125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9261309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9261378Z return mod(*inputs) 2025-09-07T07:59:40.9261577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9261651Z x = self.forward_features(x) 2025-09-07T07:59:40.9261877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9261939Z x = self.blocks(x) 2025-09-07T07:59:40.9262159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9262221Z x = self.se(x) 2025-09-07T07:59:40.9262439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:59:40.9262513Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:59:40.9262516Z 2025-09-07T07:59:40.9262614Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9262811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9262877Z return mod(*inputs) 2025-09-07T07:59:40.9263080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9263152Z x = self.forward_features(x) 2025-09-07T07:59:40.9263391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9263465Z x = self.blocks(x) 2025-09-07T07:59:40.9263682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9263751Z x = self.se(x) 2025-09-07T07:59:40.9263962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9264028Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9264038Z 2025-09-07T07:59:40.9264138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9264322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9264413Z return mod(*inputs) 2025-09-07T07:59:40.9264615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9264716Z x = self.forward_features(x) 2025-09-07T07:59:40.9264935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9265000Z x = self.blocks(x) 2025-09-07T07:59:40.9265218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9265278Z x = self.se(x) 2025-09-07T07:59:40.9265495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:59:40.9265563Z x_se = self.act1(x_se) 2025-09-07T07:59:40.9265566Z 2025-09-07T07:59:40.9265664Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9265857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9265922Z return mod(*inputs) 2025-09-07T07:59:40.9266131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9266200Z x = self.forward_features(x) 2025-09-07T07:59:40.9266416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9266501Z x = self.blocks(x) 2025-09-07T07:59:40.9266715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9266782Z x = self.se(x) 2025-09-07T07:59:40.9266993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9267061Z return x * self.gate(x_se) 2025-09-07T07:59:40.9267071Z 2025-09-07T07:59:40.9267171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9267360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9267432Z return mod(*inputs) 2025-09-07T07:59:40.9267631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9267708Z x = self.forward_features(x) 2025-09-07T07:59:40.9267930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9267990Z x = self.blocks(x) 2025-09-07T07:59:40.9268208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9268267Z x = self.se(x) 2025-09-07T07:59:40.9268481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9268548Z return x * self.gate(x_se) 2025-09-07T07:59:40.9268551Z 2025-09-07T07:59:40.9268650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9268845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9268923Z return mod(*inputs) 2025-09-07T07:59:40.9269134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9269204Z x = self.forward_features(x) 2025-09-07T07:59:40.9269425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9269495Z x = self.blocks(x) 2025-09-07T07:59:40.9269706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:59:40.9269774Z x = self.se(x) 2025-09-07T07:59:40.9269985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:59:40.9270054Z return x * self.gate(x_se) 2025-09-07T07:59:40.9270077Z 2025-09-07T07:59:40.9270174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9270372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9270448Z return mod(*inputs) 2025-09-07T07:59:40.9270643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9270723Z x = self.forward_features(x) 2025-09-07T07:59:40.9270941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9271003Z x = self.blocks(x) 2025-09-07T07:59:40.9271221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9271288Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9271487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9271590Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9271793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9271900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9271926Z 2025-09-07T07:59:40.9272024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9272214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9272277Z return mod(*inputs) 2025-09-07T07:59:40.9272480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9272547Z x = self.forward_features(x) 2025-09-07T07:59:40.9272764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9272838Z x = self.blocks(x) 2025-09-07T07:59:40.9273048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9273123Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9273318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9273420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9273628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9273726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9273729Z 2025-09-07T07:59:40.9273833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9274020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9274084Z return mod(*inputs) 2025-09-07T07:59:40.9274287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9274357Z x = self.forward_features(x) 2025-09-07T07:59:40.9274597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9274661Z x = self.blocks(x) 2025-09-07T07:59:40.9274872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9274947Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9275140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9275247Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9275445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9275551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9275569Z 2025-09-07T07:59:40.9275669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9275871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9275946Z return mod(*inputs) 2025-09-07T07:59:40.9276146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9276224Z x = self.forward_features(x) 2025-09-07T07:59:40.9276446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9276508Z x = self.blocks(x) 2025-09-07T07:59:40.9276731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9276799Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9277002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:59:40.9277101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9277308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:59:40.9277413Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:59:40.9277429Z 2025-09-07T07:59:40.9277510Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9277597Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9277696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9277890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9277955Z return mod(*inputs) 2025-09-07T07:59:40.9278156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9278232Z x = self.forward_features(x) 2025-09-07T07:59:40.9278452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9278522Z x = self.blocks(x) 2025-09-07T07:59:40.9278740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:59:40.9278804Z x = self.conv_pwl(x) 2025-09-07T07:59:40.9279009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:59:40.9279077Z x = torch.cat(x_out, 1) 2025-09-07T07:59:40.9279080Z 2025-09-07T07:59:40.9279187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9279374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9279437Z return mod(*inputs) 2025-09-07T07:59:40.9279641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9279709Z x = self.forward_features(x) 2025-09-07T07:59:40.9279937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:59:40.9280002Z x = self.blocks(x) 2025-09-07T07:59:40.9280230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:59:40.9280310Z x = self.drop_path(x) + shortcut 2025-09-07T07:59:40.9280314Z 2025-09-07T07:59:40.9280413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9280606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9280670Z return mod(*inputs) 2025-09-07T07:59:40.9280870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9280937Z x = self.forward_features(x) 2025-09-07T07:59:40.9281150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T07:59:40.9281236Z x = self.bn2(x) 2025-09-07T07:59:40.9281439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9281510Z x = self.act(x) 2025-09-07T07:59:40.9281513Z 2025-09-07T07:59:40.9281641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9281833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9281908Z return mod(*inputs) 2025-09-07T07:59:40.9282107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:59:40.9282185Z x = self.forward_features(x) 2025-09-07T07:59:40.9282405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T07:59:40.9282465Z x = self.bn2(x) 2025-09-07T07:59:40.9282667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:59:40.9282731Z x = self.act(x) 2025-09-07T07:59:40.9282734Z 2025-09-07T07:59:40.9282822Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9282923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:59:40.9283114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:59:40.9283216Z return mod(*inputs) 2025-09-07T07:59:40.9283414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:59:40.9283490Z x = self.forward_head(x) 2025-09-07T07:59:40.9283702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T07:59:40.9283779Z x = self.global_pool(x) 2025-09-07T07:59:40.9283999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T07:59:40.9284066Z x = self.pool(x) 2025-09-07T07:59:40.9284070Z 2025-09-07T07:59:40.9284154Z cudagraph partition due to non gpu ops 2025-09-07T07:59:40.9284232Z cudagraph partition due to non gpu ops 2025-09-07T08:00:12.5370965Z pass 2025-09-07T08:00:12.5371360Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:14.6736016Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:00:14.6736949Z import pynvml # type: ignore[import] 2025-09-07T08:00:16.8462961Z 2025-09-07T08:00:17.0352452Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:00:17.0352770Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:00:17.0353031Z cpu eval mnasnet_100 2025-09-07T08:00:17.9579946Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:18.0034696Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:18.0467231Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:26.9943085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9943525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9943857Z return mod(*inputs) 2025-09-07T08:00:26.9944200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9944544Z x = self.forward_features(x) 2025-09-07T08:00:26.9944898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 251, in forward_features 2025-09-07T08:00:26.9945250Z x = self.conv_stem(x) 2025-09-07T08:00:26.9945622Z 2025-09-07T08:00:26.9945739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9946153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9946464Z return mod(*inputs) 2025-09-07T08:00:26.9946775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9947144Z x = self.forward_features(x) 2025-09-07T08:00:26.9947484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 252, in forward_features 2025-09-07T08:00:26.9947843Z x = self.bn1(x) 2025-09-07T08:00:26.9948138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9948452Z x = self.act(x) 2025-09-07T08:00:26.9948543Z 2025-09-07T08:00:26.9948658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9948993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9949300Z return mod(*inputs) 2025-09-07T08:00:26.9949753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9950088Z x = self.forward_features(x) 2025-09-07T08:00:26.9951247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 252, in forward_features 2025-09-07T08:00:26.9951579Z x = self.bn1(x) 2025-09-07T08:00:26.9951869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9952171Z x = self.act(x) 2025-09-07T08:00:26.9952260Z 2025-09-07T08:00:26.9952370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9952708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9953030Z return mod(*inputs) 2025-09-07T08:00:26.9953342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9953671Z x = self.forward_features(x) 2025-09-07T08:00:26.9954014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9954347Z x = self.blocks(x) 2025-09-07T08:00:26.9954669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T08:00:26.9954997Z x = self.bn1(x) 2025-09-07T08:00:26.9955276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9955570Z x = self.act(x) 2025-09-07T08:00:26.9955663Z 2025-09-07T08:00:26.9955763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9956100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9956410Z return mod(*inputs) 2025-09-07T08:00:26.9956714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9957080Z x = self.forward_features(x) 2025-09-07T08:00:26.9957427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9957772Z x = self.blocks(x) 2025-09-07T08:00:26.9958091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T08:00:26.9958421Z x = self.bn1(x) 2025-09-07T08:00:26.9958712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9959023Z x = self.act(x) 2025-09-07T08:00:26.9959113Z 2025-09-07T08:00:26.9959224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9959573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9959899Z return mod(*inputs) 2025-09-07T08:00:26.9960230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9960554Z x = self.forward_features(x) 2025-09-07T08:00:26.9960889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9961219Z x = self.blocks(x) 2025-09-07T08:00:26.9961530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward 2025-09-07T08:00:26.9961857Z x = self.conv_pw(x) 2025-09-07T08:00:26.9961953Z 2025-09-07T08:00:26.9962058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9962394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9962690Z return mod(*inputs) 2025-09-07T08:00:26.9962992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9963321Z x = self.forward_features(x) 2025-09-07T08:00:26.9963655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9963984Z x = self.blocks(x) 2025-09-07T08:00:26.9964322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward 2025-09-07T08:00:26.9964652Z x = self.conv_pw(x) 2025-09-07T08:00:26.9964748Z 2025-09-07T08:00:26.9964856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9965198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9965498Z return mod(*inputs) 2025-09-07T08:00:26.9965803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9966129Z x = self.forward_features(x) 2025-09-07T08:00:26.9966467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9966795Z x = self.blocks(x) 2025-09-07T08:00:26.9967103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:26.9967433Z x = self.bn1(x) 2025-09-07T08:00:26.9967716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9968016Z x = self.act(x) 2025-09-07T08:00:26.9968103Z 2025-09-07T08:00:26.9968201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9968538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9968843Z return mod(*inputs) 2025-09-07T08:00:26.9969143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9969463Z x = self.forward_features(x) 2025-09-07T08:00:26.9969810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9970143Z x = self.blocks(x) 2025-09-07T08:00:26.9970450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:26.9970776Z x = self.bn1(x) 2025-09-07T08:00:26.9971047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9971345Z x = self.act(x) 2025-09-07T08:00:26.9971441Z 2025-09-07T08:00:26.9971538Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9971875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9972170Z return mod(*inputs) 2025-09-07T08:00:26.9972472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9972817Z x = self.forward_features(x) 2025-09-07T08:00:26.9973174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9973510Z x = self.blocks(x) 2025-09-07T08:00:26.9973812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:26.9974137Z x = self.bn2(x) 2025-09-07T08:00:26.9974419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9974722Z x = self.act(x) 2025-09-07T08:00:26.9974811Z 2025-09-07T08:00:26.9974910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9975247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9975552Z return mod(*inputs) 2025-09-07T08:00:26.9975858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9976178Z x = self.forward_features(x) 2025-09-07T08:00:26.9976504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9976864Z x = self.blocks(x) 2025-09-07T08:00:26.9977177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:26.9977510Z x = self.bn2(x) 2025-09-07T08:00:26.9977779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9978080Z x = self.act(x) 2025-09-07T08:00:26.9978173Z 2025-09-07T08:00:26.9978272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9978606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9978912Z return mod(*inputs) 2025-09-07T08:00:26.9979204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9979531Z x = self.forward_features(x) 2025-09-07T08:00:26.9979870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9980210Z x = self.blocks(x) 2025-09-07T08:00:26.9980513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:26.9980851Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:26.9980982Z 2025-09-07T08:00:26.9981080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9981417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9981790Z return mod(*inputs) 2025-09-07T08:00:26.9982080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9982402Z x = self.forward_features(x) 2025-09-07T08:00:26.9982779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9983114Z x = self.blocks(x) 2025-09-07T08:00:26.9983417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:26.9983760Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:26.9983889Z 2025-09-07T08:00:26.9983989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9984329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9984634Z return mod(*inputs) 2025-09-07T08:00:26.9984928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9985249Z x = self.forward_features(x) 2025-09-07T08:00:26.9985616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9985978Z x = self.blocks(x) 2025-09-07T08:00:26.9986290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:26.9986623Z x = self.bn1(x) 2025-09-07T08:00:26.9986906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9987212Z x = self.act(x) 2025-09-07T08:00:26.9987298Z 2025-09-07T08:00:26.9987403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9987734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9988036Z return mod(*inputs) 2025-09-07T08:00:26.9988340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9988667Z x = self.forward_features(x) 2025-09-07T08:00:26.9988995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9989334Z x = self.blocks(x) 2025-09-07T08:00:26.9989646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:26.9990020Z x = self.bn1(x) 2025-09-07T08:00:26.9990298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9990593Z x = self.act(x) 2025-09-07T08:00:26.9990690Z 2025-09-07T08:00:26.9990788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9991132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9991436Z return mod(*inputs) 2025-09-07T08:00:26.9991731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9992059Z x = self.forward_features(x) 2025-09-07T08:00:26.9992402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9992743Z x = self.blocks(x) 2025-09-07T08:00:26.9993057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:26.9993383Z x = self.bn2(x) 2025-09-07T08:00:26.9993669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9993976Z x = self.act(x) 2025-09-07T08:00:26.9994063Z 2025-09-07T08:00:26.9994171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9994506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9994813Z return mod(*inputs) 2025-09-07T08:00:26.9995118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9995450Z x = self.forward_features(x) 2025-09-07T08:00:26.9995806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9996139Z x = self.blocks(x) 2025-09-07T08:00:26.9996454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:26.9996781Z x = self.bn2(x) 2025-09-07T08:00:26.9997063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:26.9997357Z x = self.act(x) 2025-09-07T08:00:26.9997454Z 2025-09-07T08:00:26.9997535Z cudagraph partition due to non gpu ops 2025-09-07T08:00:26.9997767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:26.9998102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:26.9998418Z return mod(*inputs) 2025-09-07T08:00:26.9998730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:26.9999055Z x = self.forward_features(x) 2025-09-07T08:00:26.9999389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:26.9999728Z x = self.blocks(x) 2025-09-07T08:00:27.0000033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0000360Z x = self.bn1(x) 2025-09-07T08:00:27.0000640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0000943Z x = self.act(x) 2025-09-07T08:00:27.0001030Z 2025-09-07T08:00:27.0001141Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0001468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0001770Z return mod(*inputs) 2025-09-07T08:00:27.0002075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0002399Z x = self.forward_features(x) 2025-09-07T08:00:27.0002732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0003106Z x = self.blocks(x) 2025-09-07T08:00:27.0003417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0003745Z x = self.bn1(x) 2025-09-07T08:00:27.0004023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0004318Z x = self.act(x) 2025-09-07T08:00:27.0004413Z 2025-09-07T08:00:27.0004515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0004854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0005156Z return mod(*inputs) 2025-09-07T08:00:27.0005456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0005785Z x = self.forward_features(x) 2025-09-07T08:00:27.0006123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0006459Z x = self.blocks(x) 2025-09-07T08:00:27.0006769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0007090Z x = self.bn2(x) 2025-09-07T08:00:27.0007369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0007673Z x = self.act(x) 2025-09-07T08:00:27.0007761Z 2025-09-07T08:00:27.0007867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0008198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0008504Z return mod(*inputs) 2025-09-07T08:00:27.0008819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0009145Z x = self.forward_features(x) 2025-09-07T08:00:27.0009469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0009804Z x = self.blocks(x) 2025-09-07T08:00:27.0010114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0010438Z x = self.bn2(x) 2025-09-07T08:00:27.0010711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0010999Z x = self.act(x) 2025-09-07T08:00:27.0011113Z 2025-09-07T08:00:27.0011193Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0011425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0011777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0012071Z return mod(*inputs) 2025-09-07T08:00:27.0012376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0012701Z x = self.forward_features(x) 2025-09-07T08:00:27.0013035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0013372Z x = self.blocks(x) 2025-09-07T08:00:27.0013675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0014005Z x = self.bn1(x) 2025-09-07T08:00:27.0014283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0014588Z x = self.act(x) 2025-09-07T08:00:27.0014674Z 2025-09-07T08:00:27.0014773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0015111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0015419Z return mod(*inputs) 2025-09-07T08:00:27.0015740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0016062Z x = self.forward_features(x) 2025-09-07T08:00:27.0016392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0016735Z x = self.blocks(x) 2025-09-07T08:00:27.0017048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0017376Z x = self.bn1(x) 2025-09-07T08:00:27.0017648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0017952Z x = self.act(x) 2025-09-07T08:00:27.0018049Z 2025-09-07T08:00:27.0018150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0018489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0018795Z return mod(*inputs) 2025-09-07T08:00:27.0019089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0019414Z x = self.forward_features(x) 2025-09-07T08:00:27.0019752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0020087Z x = self.blocks(x) 2025-09-07T08:00:27.0020390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0020721Z x = self.bn2(x) 2025-09-07T08:00:27.0021001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0021308Z x = self.act(x) 2025-09-07T08:00:27.0021396Z 2025-09-07T08:00:27.0021519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0021848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0022153Z return mod(*inputs) 2025-09-07T08:00:27.0022451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0022772Z x = self.forward_features(x) 2025-09-07T08:00:27.0023097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0023432Z x = self.blocks(x) 2025-09-07T08:00:27.0023739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0024087Z x = self.bn2(x) 2025-09-07T08:00:27.0024396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0024688Z x = self.act(x) 2025-09-07T08:00:27.0024786Z 2025-09-07T08:00:27.0024886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0025223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0025523Z return mod(*inputs) 2025-09-07T08:00:27.0025818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0026138Z x = self.forward_features(x) 2025-09-07T08:00:27.0026467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0026802Z x = self.blocks(x) 2025-09-07T08:00:27.0027114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:27.0027446Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:27.0027578Z 2025-09-07T08:00:27.0027676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0028013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0028337Z return mod(*inputs) 2025-09-07T08:00:27.0028630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0028954Z x = self.forward_features(x) 2025-09-07T08:00:27.0029291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0029624Z x = self.blocks(x) 2025-09-07T08:00:27.0029935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:27.0030266Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:27.0030395Z 2025-09-07T08:00:27.0030495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0030833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0031137Z return mod(*inputs) 2025-09-07T08:00:27.0031431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0031756Z x = self.forward_features(x) 2025-09-07T08:00:27.0032086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0032422Z x = self.blocks(x) 2025-09-07T08:00:27.0032732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0033050Z x = self.bn1(x) 2025-09-07T08:00:27.0033333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0033639Z x = self.act(x) 2025-09-07T08:00:27.0033726Z 2025-09-07T08:00:27.0033832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0034182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0034490Z return mod(*inputs) 2025-09-07T08:00:27.0034796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0035121Z x = self.forward_features(x) 2025-09-07T08:00:27.0035461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0035788Z x = self.blocks(x) 2025-09-07T08:00:27.0036099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0036425Z x = self.bn1(x) 2025-09-07T08:00:27.0036708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0037020Z x = self.act(x) 2025-09-07T08:00:27.0037116Z 2025-09-07T08:00:27.0037248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0037590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0037896Z return mod(*inputs) 2025-09-07T08:00:27.0038197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0038511Z x = self.forward_features(x) 2025-09-07T08:00:27.0038844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0039179Z x = self.blocks(x) 2025-09-07T08:00:27.0039490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0039808Z x = self.bn2(x) 2025-09-07T08:00:27.0040089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0040395Z x = self.act(x) 2025-09-07T08:00:27.0040480Z 2025-09-07T08:00:27.0040591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0040930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0041242Z return mod(*inputs) 2025-09-07T08:00:27.0041542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0041867Z x = self.forward_features(x) 2025-09-07T08:00:27.0042204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0042532Z x = self.blocks(x) 2025-09-07T08:00:27.0042844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0043170Z x = self.bn2(x) 2025-09-07T08:00:27.0043448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0043752Z x = self.act(x) 2025-09-07T08:00:27.0043840Z 2025-09-07T08:00:27.0043924Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0044156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0044497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0044804Z return mod(*inputs) 2025-09-07T08:00:27.0045102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0045430Z x = self.forward_features(x) 2025-09-07T08:00:27.0045767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0046106Z x = self.blocks(x) 2025-09-07T08:00:27.0046417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0046740Z x = self.bn1(x) 2025-09-07T08:00:27.0047039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0047347Z x = self.act(x) 2025-09-07T08:00:27.0047434Z 2025-09-07T08:00:27.0047541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0047873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0048178Z return mod(*inputs) 2025-09-07T08:00:27.0048477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0048796Z x = self.forward_features(x) 2025-09-07T08:00:27.0049128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0049453Z x = self.blocks(x) 2025-09-07T08:00:27.0050185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0050513Z x = self.bn1(x) 2025-09-07T08:00:27.0050810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0051108Z x = self.act(x) 2025-09-07T08:00:27.0051205Z 2025-09-07T08:00:27.0051305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0051650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0051958Z return mod(*inputs) 2025-09-07T08:00:27.0052254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0052576Z x = self.forward_features(x) 2025-09-07T08:00:27.0052911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0053248Z x = self.blocks(x) 2025-09-07T08:00:27.0053561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0053882Z x = self.bn2(x) 2025-09-07T08:00:27.0054160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0054482Z x = self.act(x) 2025-09-07T08:00:27.0054569Z 2025-09-07T08:00:27.0054676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0055011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0055306Z return mod(*inputs) 2025-09-07T08:00:27.0055604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0055925Z x = self.forward_features(x) 2025-09-07T08:00:27.0056258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0056589Z x = self.blocks(x) 2025-09-07T08:00:27.0056905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0057231Z x = self.bn2(x) 2025-09-07T08:00:27.0057515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0057813Z x = self.act(x) 2025-09-07T08:00:27.0057909Z 2025-09-07T08:00:27.0057988Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0058224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0058562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0058867Z return mod(*inputs) 2025-09-07T08:00:27.0059161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0059496Z x = self.forward_features(x) 2025-09-07T08:00:27.0059835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0060176Z x = self.blocks(x) 2025-09-07T08:00:27.0060495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0060827Z x = self.bn1(x) 2025-09-07T08:00:27.0061111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0061416Z x = self.act(x) 2025-09-07T08:00:27.0061503Z 2025-09-07T08:00:27.0061610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0061944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0062253Z return mod(*inputs) 2025-09-07T08:00:27.0062558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0062901Z x = self.forward_features(x) 2025-09-07T08:00:27.0063243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0063583Z x = self.blocks(x) 2025-09-07T08:00:27.0063895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0064227Z x = self.bn1(x) 2025-09-07T08:00:27.0064508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0064805Z x = self.act(x) 2025-09-07T08:00:27.0064901Z 2025-09-07T08:00:27.0065000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0065335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0065634Z return mod(*inputs) 2025-09-07T08:00:27.0065928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0066253Z x = self.forward_features(x) 2025-09-07T08:00:27.0066590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0066922Z x = self.blocks(x) 2025-09-07T08:00:27.0067235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0067570Z x = self.bn2(x) 2025-09-07T08:00:27.0067846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0068147Z x = self.act(x) 2025-09-07T08:00:27.0068233Z 2025-09-07T08:00:27.0068340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0068664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0068971Z return mod(*inputs) 2025-09-07T08:00:27.0069272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0069594Z x = self.forward_features(x) 2025-09-07T08:00:27.0069928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0070258Z x = self.blocks(x) 2025-09-07T08:00:27.0070568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0070896Z x = self.bn2(x) 2025-09-07T08:00:27.0071171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0071466Z x = self.act(x) 2025-09-07T08:00:27.0071561Z 2025-09-07T08:00:27.0071659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0071996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0072300Z return mod(*inputs) 2025-09-07T08:00:27.0072610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0072930Z x = self.forward_features(x) 2025-09-07T08:00:27.0073281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0073621Z x = self.blocks(x) 2025-09-07T08:00:27.0073930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:27.0074261Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:27.0074392Z 2025-09-07T08:00:27.0074491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0074828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0075131Z return mod(*inputs) 2025-09-07T08:00:27.0075436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0075765Z x = self.forward_features(x) 2025-09-07T08:00:27.0076115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0076451Z x = self.blocks(x) 2025-09-07T08:00:27.0076758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:27.0077088Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:27.0077216Z 2025-09-07T08:00:27.0077315Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0077653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0077952Z return mod(*inputs) 2025-09-07T08:00:27.0078254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0078570Z x = self.forward_features(x) 2025-09-07T08:00:27.0078909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0079244Z x = self.blocks(x) 2025-09-07T08:00:27.0079550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0079867Z x = self.bn1(x) 2025-09-07T08:00:27.0080170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0080472Z x = self.act(x) 2025-09-07T08:00:27.0080560Z 2025-09-07T08:00:27.0080667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0081000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0081296Z return mod(*inputs) 2025-09-07T08:00:27.0081631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0081955Z x = self.forward_features(x) 2025-09-07T08:00:27.0082295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0082625Z x = self.blocks(x) 2025-09-07T08:00:27.0082941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0083274Z x = self.bn1(x) 2025-09-07T08:00:27.0083564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0083866Z x = self.act(x) 2025-09-07T08:00:27.0083953Z 2025-09-07T08:00:27.0084052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0084395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0084698Z return mod(*inputs) 2025-09-07T08:00:27.0085002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0085319Z x = self.forward_features(x) 2025-09-07T08:00:27.0085661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0086029Z x = self.blocks(x) 2025-09-07T08:00:27.0086342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0086674Z x = self.bn2(x) 2025-09-07T08:00:27.0086947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0087249Z x = self.act(x) 2025-09-07T08:00:27.0087344Z 2025-09-07T08:00:27.0087443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0087780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0088077Z return mod(*inputs) 2025-09-07T08:00:27.0088384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0088755Z x = self.forward_features(x) 2025-09-07T08:00:27.0089120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0089459Z x = self.blocks(x) 2025-09-07T08:00:27.0089767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0090103Z x = self.bn2(x) 2025-09-07T08:00:27.0090386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0090691Z x = self.act(x) 2025-09-07T08:00:27.0090780Z 2025-09-07T08:00:27.0090865Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0091107Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0091447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0091757Z return mod(*inputs) 2025-09-07T08:00:27.0092069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0092391Z x = self.forward_features(x) 2025-09-07T08:00:27.0092733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0093098Z x = self.blocks(x) 2025-09-07T08:00:27.0093411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0093732Z x = self.bn1(x) 2025-09-07T08:00:27.0094015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0122455Z x = self.act(x) 2025-09-07T08:00:27.0122591Z 2025-09-07T08:00:27.0122736Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0123136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0123483Z return mod(*inputs) 2025-09-07T08:00:27.0123835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0124200Z x = self.forward_features(x) 2025-09-07T08:00:27.0124563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0124926Z x = self.blocks(x) 2025-09-07T08:00:27.0125260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0125624Z x = self.bn1(x) 2025-09-07T08:00:27.0125974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0126281Z x = self.act(x) 2025-09-07T08:00:27.0126390Z 2025-09-07T08:00:27.0126500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0126860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0127178Z return mod(*inputs) 2025-09-07T08:00:27.0127587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0127945Z x = self.forward_features(x) 2025-09-07T08:00:27.0128309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0128663Z x = self.blocks(x) 2025-09-07T08:00:27.0128991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0129329Z x = self.bn2(x) 2025-09-07T08:00:27.0129626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0129939Z x = self.act(x) 2025-09-07T08:00:27.0130039Z 2025-09-07T08:00:27.0130156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0130533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0130844Z return mod(*inputs) 2025-09-07T08:00:27.0131182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0131515Z x = self.forward_features(x) 2025-09-07T08:00:27.0131860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0132205Z x = self.blocks(x) 2025-09-07T08:00:27.0132530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0132867Z x = self.bn2(x) 2025-09-07T08:00:27.0133155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0133453Z x = self.act(x) 2025-09-07T08:00:27.0133551Z 2025-09-07T08:00:27.0133636Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0133884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0134234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0134553Z return mod(*inputs) 2025-09-07T08:00:27.0134862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0135216Z x = self.forward_features(x) 2025-09-07T08:00:27.0135556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0135902Z x = self.blocks(x) 2025-09-07T08:00:27.0136223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0136560Z x = self.bn1(x) 2025-09-07T08:00:27.0136850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0137152Z x = self.act(x) 2025-09-07T08:00:27.0137253Z 2025-09-07T08:00:27.0137356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0137703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0158581Z return mod(*inputs) 2025-09-07T08:00:27.0158957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0159321Z x = self.forward_features(x) 2025-09-07T08:00:27.0159683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0160048Z x = self.blocks(x) 2025-09-07T08:00:27.0160387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0160747Z x = self.bn1(x) 2025-09-07T08:00:27.0161062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0161387Z x = self.act(x) 2025-09-07T08:00:27.0161484Z 2025-09-07T08:00:27.0161610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0161998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0162328Z return mod(*inputs) 2025-09-07T08:00:27.0162651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0162996Z x = self.forward_features(x) 2025-09-07T08:00:27.0163345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0163713Z x = self.blocks(x) 2025-09-07T08:00:27.0164027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0164355Z x = self.bn2(x) 2025-09-07T08:00:27.0164637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0164956Z x = self.act(x) 2025-09-07T08:00:27.0165044Z 2025-09-07T08:00:27.0165167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0165510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0165815Z return mod(*inputs) 2025-09-07T08:00:27.0166119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0166438Z x = self.forward_features(x) 2025-09-07T08:00:27.0166777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0167109Z x = self.blocks(x) 2025-09-07T08:00:27.0167417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0167740Z x = self.bn2(x) 2025-09-07T08:00:27.0168018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0168318Z x = self.act(x) 2025-09-07T08:00:27.0168404Z 2025-09-07T08:00:27.0168506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0168845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0169184Z return mod(*inputs) 2025-09-07T08:00:27.0169488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0169812Z x = self.forward_features(x) 2025-09-07T08:00:27.0170151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0170489Z x = self.blocks(x) 2025-09-07T08:00:27.0170799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:27.0171140Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:27.0171264Z 2025-09-07T08:00:27.0171367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0171705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0172007Z return mod(*inputs) 2025-09-07T08:00:27.0172312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0172639Z x = self.forward_features(x) 2025-09-07T08:00:27.0172976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0173314Z x = self.blocks(x) 2025-09-07T08:00:27.0173624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:27.0173962Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:27.0174084Z 2025-09-07T08:00:27.0174190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0174528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0174855Z return mod(*inputs) 2025-09-07T08:00:27.0175158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0175484Z x = self.forward_features(x) 2025-09-07T08:00:27.0175816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0176150Z x = self.blocks(x) 2025-09-07T08:00:27.0176459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0176786Z x = self.bn1(x) 2025-09-07T08:00:27.0177064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0177369Z x = self.act(x) 2025-09-07T08:00:27.0177479Z 2025-09-07T08:00:27.0177580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0177936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0178248Z return mod(*inputs) 2025-09-07T08:00:27.0178566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0178906Z x = self.forward_features(x) 2025-09-07T08:00:27.0179258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0179619Z x = self.blocks(x) 2025-09-07T08:00:27.0179938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0180270Z x = self.bn1(x) 2025-09-07T08:00:27.0180550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0180861Z x = self.act(x) 2025-09-07T08:00:27.0180959Z 2025-09-07T08:00:27.0181062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0181412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0181766Z return mod(*inputs) 2025-09-07T08:00:27.0182151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0182480Z x = self.forward_features(x) 2025-09-07T08:00:27.0182826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0183169Z x = self.blocks(x) 2025-09-07T08:00:27.0183477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0183811Z x = self.bn2(x) 2025-09-07T08:00:27.0184096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0184406Z x = self.act(x) 2025-09-07T08:00:27.0184494Z 2025-09-07T08:00:27.0184596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0184942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0185260Z return mod(*inputs) 2025-09-07T08:00:27.0185567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0185897Z x = self.forward_features(x) 2025-09-07T08:00:27.0186237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0186579Z x = self.blocks(x) 2025-09-07T08:00:27.0186893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0187226Z x = self.bn2(x) 2025-09-07T08:00:27.0187500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0187811Z x = self.act(x) 2025-09-07T08:00:27.0187907Z 2025-09-07T08:00:27.0188041Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0188277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0188619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0188927Z return mod(*inputs) 2025-09-07T08:00:27.0189235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0189573Z x = self.forward_features(x) 2025-09-07T08:00:27.0189915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0190252Z x = self.blocks(x) 2025-09-07T08:00:27.0190571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0190925Z x = self.bn1(x) 2025-09-07T08:00:27.0191240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0191547Z x = self.act(x) 2025-09-07T08:00:27.0191636Z 2025-09-07T08:00:27.0191736Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0192082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0192388Z return mod(*inputs) 2025-09-07T08:00:27.0192688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0193010Z x = self.forward_features(x) 2025-09-07T08:00:27.0193349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0193688Z x = self.blocks(x) 2025-09-07T08:00:27.0194001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0194333Z x = self.bn1(x) 2025-09-07T08:00:27.0194609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0194915Z x = self.act(x) 2025-09-07T08:00:27.0195003Z 2025-09-07T08:00:27.0195386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0195729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0196038Z return mod(*inputs) 2025-09-07T08:00:27.0196354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0196698Z x = self.forward_features(x) 2025-09-07T08:00:27.0197049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0197399Z x = self.blocks(x) 2025-09-07T08:00:27.0197713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0198055Z x = self.bn2(x) 2025-09-07T08:00:27.0198341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0198654Z x = self.act(x) 2025-09-07T08:00:27.0198745Z 2025-09-07T08:00:27.0198844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0199192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0199502Z return mod(*inputs) 2025-09-07T08:00:27.0199812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0200141Z x = self.forward_features(x) 2025-09-07T08:00:27.0200488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0200836Z x = self.blocks(x) 2025-09-07T08:00:27.0201158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0201494Z x = self.bn2(x) 2025-09-07T08:00:27.0201788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0202091Z x = self.act(x) 2025-09-07T08:00:27.0202188Z 2025-09-07T08:00:27.0202285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0202625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0202923Z return mod(*inputs) 2025-09-07T08:00:27.0203222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0203545Z x = self.forward_features(x) 2025-09-07T08:00:27.0203886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0204242Z x = self.blocks(x) 2025-09-07T08:00:27.0204557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:27.0204903Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:27.0205036Z 2025-09-07T08:00:27.0205134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0205472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0205778Z return mod(*inputs) 2025-09-07T08:00:27.0206075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0206402Z x = self.forward_features(x) 2025-09-07T08:00:27.0206740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0207078Z x = self.blocks(x) 2025-09-07T08:00:27.0207386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:27.0207725Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:27.0207858Z 2025-09-07T08:00:27.0207961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0208299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0208628Z return mod(*inputs) 2025-09-07T08:00:27.0208925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0209247Z x = self.forward_features(x) 2025-09-07T08:00:27.0209589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0209932Z x = self.blocks(x) 2025-09-07T08:00:27.0210246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0210572Z x = self.bn1(x) 2025-09-07T08:00:27.0210853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0211156Z x = self.act(x) 2025-09-07T08:00:27.0211244Z 2025-09-07T08:00:27.0211350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0211681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0211987Z return mod(*inputs) 2025-09-07T08:00:27.0212291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0212619Z x = self.forward_features(x) 2025-09-07T08:00:27.0212944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0213284Z x = self.blocks(x) 2025-09-07T08:00:27.0213600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0213936Z x = self.bn1(x) 2025-09-07T08:00:27.0214224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0214537Z x = self.act(x) 2025-09-07T08:00:27.0214637Z 2025-09-07T08:00:27.0214735Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0215073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0215382Z return mod(*inputs) 2025-09-07T08:00:27.0215678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0216005Z x = self.forward_features(x) 2025-09-07T08:00:27.0216345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0216679Z x = self.blocks(x) 2025-09-07T08:00:27.0216989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0217328Z x = self.bn2(x) 2025-09-07T08:00:27.0217624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0217923Z x = self.act(x) 2025-09-07T08:00:27.0218011Z 2025-09-07T08:00:27.0218119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0218447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0218752Z return mod(*inputs) 2025-09-07T08:00:27.0219059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0219384Z x = self.forward_features(x) 2025-09-07T08:00:27.0219717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0220044Z x = self.blocks(x) 2025-09-07T08:00:27.0220356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0220685Z x = self.bn2(x) 2025-09-07T08:00:27.0220969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0221263Z x = self.act(x) 2025-09-07T08:00:27.0221377Z 2025-09-07T08:00:27.0221521Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0221757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0222092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0222403Z return mod(*inputs) 2025-09-07T08:00:27.0222709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0223033Z x = self.forward_features(x) 2025-09-07T08:00:27.0223369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0223714Z x = self.blocks(x) 2025-09-07T08:00:27.0224034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0224367Z x = self.bn1(x) 2025-09-07T08:00:27.0224653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0224950Z x = self.act(x) 2025-09-07T08:00:27.0225046Z 2025-09-07T08:00:27.0225145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0225482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0225793Z return mod(*inputs) 2025-09-07T08:00:27.0226088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0226417Z x = self.forward_features(x) 2025-09-07T08:00:27.0226755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0227099Z x = self.blocks(x) 2025-09-07T08:00:27.0227429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0227753Z x = self.bn1(x) 2025-09-07T08:00:27.0228036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0228339Z x = self.act(x) 2025-09-07T08:00:27.0228425Z 2025-09-07T08:00:27.0228535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0228864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0229174Z return mod(*inputs) 2025-09-07T08:00:27.0229477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0229801Z x = self.forward_features(x) 2025-09-07T08:00:27.0230162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0230512Z x = self.blocks(x) 2025-09-07T08:00:27.0230832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0231162Z x = self.bn2(x) 2025-09-07T08:00:27.0231442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0231742Z x = self.act(x) 2025-09-07T08:00:27.0231838Z 2025-09-07T08:00:27.0231938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0232277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0232584Z return mod(*inputs) 2025-09-07T08:00:27.0232891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0233212Z x = self.forward_features(x) 2025-09-07T08:00:27.0233553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0233895Z x = self.blocks(x) 2025-09-07T08:00:27.0234213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0234549Z x = self.bn2(x) 2025-09-07T08:00:27.0234829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0235132Z x = self.act(x) 2025-09-07T08:00:27.0235219Z 2025-09-07T08:00:27.0235309Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0235542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0235871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0236174Z return mod(*inputs) 2025-09-07T08:00:27.0236481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0236806Z x = self.forward_features(x) 2025-09-07T08:00:27.0237139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0237480Z x = self.blocks(x) 2025-09-07T08:00:27.0237795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0238121Z x = self.bn1(x) 2025-09-07T08:00:27.0238391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0238687Z x = self.act(x) 2025-09-07T08:00:27.0238784Z 2025-09-07T08:00:27.0238883Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0239219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0239520Z return mod(*inputs) 2025-09-07T08:00:27.0239816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0240140Z x = self.forward_features(x) 2025-09-07T08:00:27.0240496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0240839Z x = self.blocks(x) 2025-09-07T08:00:27.0241145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0241472Z x = self.bn1(x) 2025-09-07T08:00:27.0241756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0242060Z x = self.act(x) 2025-09-07T08:00:27.0242147Z 2025-09-07T08:00:27.0242250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0242578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0242920Z return mod(*inputs) 2025-09-07T08:00:27.0243240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0243570Z x = self.forward_features(x) 2025-09-07T08:00:27.0243904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0244255Z x = self.blocks(x) 2025-09-07T08:00:27.0244569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0244905Z x = self.bn2(x) 2025-09-07T08:00:27.0245190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0245488Z x = self.act(x) 2025-09-07T08:00:27.0245587Z 2025-09-07T08:00:27.0245689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0246035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0246350Z return mod(*inputs) 2025-09-07T08:00:27.0246656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0246987Z x = self.forward_features(x) 2025-09-07T08:00:27.0247328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0247683Z x = self.blocks(x) 2025-09-07T08:00:27.0247991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0248308Z x = self.bn2(x) 2025-09-07T08:00:27.0248588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0248889Z x = self.act(x) 2025-09-07T08:00:27.0248976Z 2025-09-07T08:00:27.0249064Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0249290Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0249628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0249935Z return mod(*inputs) 2025-09-07T08:00:27.0250238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0250564Z x = self.forward_features(x) 2025-09-07T08:00:27.0250893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0251231Z x = self.blocks(x) 2025-09-07T08:00:27.0251543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0251866Z x = self.bn1(x) 2025-09-07T08:00:27.0252134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0252437Z x = self.act(x) 2025-09-07T08:00:27.0252533Z 2025-09-07T08:00:27.0252631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0252966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0253285Z return mod(*inputs) 2025-09-07T08:00:27.0253582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0253908Z x = self.forward_features(x) 2025-09-07T08:00:27.0254244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0254584Z x = self.blocks(x) 2025-09-07T08:00:27.0254897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:27.0255220Z x = self.bn1(x) 2025-09-07T08:00:27.0255488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0255807Z x = self.act(x) 2025-09-07T08:00:27.0255901Z 2025-09-07T08:00:27.0256001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0256353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0256653Z return mod(*inputs) 2025-09-07T08:00:27.0256958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0257286Z x = self.forward_features(x) 2025-09-07T08:00:27.0257627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0257968Z x = self.blocks(x) 2025-09-07T08:00:27.0258275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0258606Z x = self.bn2(x) 2025-09-07T08:00:27.0258892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0259202Z x = self.act(x) 2025-09-07T08:00:27.0259293Z 2025-09-07T08:00:27.0259398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0259749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0260070Z return mod(*inputs) 2025-09-07T08:00:27.0260370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0260694Z x = self.forward_features(x) 2025-09-07T08:00:27.0261019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0261358Z x = self.blocks(x) 2025-09-07T08:00:27.0261668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:27.0261990Z x = self.bn2(x) 2025-09-07T08:00:27.0262259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0262557Z x = self.act(x) 2025-09-07T08:00:27.0262651Z 2025-09-07T08:00:27.0262753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0263090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0263395Z return mod(*inputs) 2025-09-07T08:00:27.0263686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0264009Z x = self.forward_features(x) 2025-09-07T08:00:27.0264344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0264676Z x = self.blocks(x) 2025-09-07T08:00:27.0264975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:00:27.0265306Z x = self.conv_pwl(x) 2025-09-07T08:00:27.0265419Z 2025-09-07T08:00:27.0265517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0265869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0266180Z return mod(*inputs) 2025-09-07T08:00:27.0266472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0266801Z x = self.forward_features(x) 2025-09-07T08:00:27.0267140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:27.0267477Z x = self.blocks(x) 2025-09-07T08:00:27.0267779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:00:27.0268113Z x = self.conv_pwl(x) 2025-09-07T08:00:27.0268224Z 2025-09-07T08:00:27.0268322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0268677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0268976Z return mod(*inputs) 2025-09-07T08:00:27.0269283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0269610Z x = self.forward_features(x) 2025-09-07T08:00:27.0269949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:00:27.0270287Z x = self.bn2(x) 2025-09-07T08:00:27.0270561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0270861Z x = self.act(x) 2025-09-07T08:00:27.0270954Z 2025-09-07T08:00:27.0271051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0271389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0271697Z return mod(*inputs) 2025-09-07T08:00:27.0271996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:27.0272327Z x = self.forward_features(x) 2025-09-07T08:00:27.0272668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:00:27.0273016Z x = self.bn2(x) 2025-09-07T08:00:27.0273286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:27.0273586Z x = self.act(x) 2025-09-07T08:00:27.0273681Z 2025-09-07T08:00:27.0273762Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0273992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:27.0274325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:27.0274619Z return mod(*inputs) 2025-09-07T08:00:27.0274915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:00:27.0275235Z x = self.forward_head(x) 2025-09-07T08:00:27.0275555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T08:00:27.0275880Z x = self.global_pool(x) 2025-09-07T08:00:27.0276210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:00:27.0276542Z x = self.pool(x) 2025-09-07T08:00:27.0276638Z 2025-09-07T08:00:27.0276721Z cudagraph partition due to non gpu ops 2025-09-07T08:00:27.0276928Z cudagraph partition due to non gpu ops 2025-09-07T08:00:35.0237738Z pass 2025-09-07T08:00:35.0238181Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:36.9453379Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:00:36.9454314Z import pynvml # type: ignore[import] 2025-09-07T08:00:39.1148665Z 2025-09-07T08:00:39.4579429Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:00:39.4579778Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:00:39.4580089Z cpu eval mobilenetv2_100 2025-09-07T08:00:40.2702984Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:40.3153876Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:40.3606224Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:51.0206436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0206982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0208321Z return mod(*inputs) 2025-09-07T08:00:51.0208745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0209224Z x = self.forward_features(x) 2025-09-07T08:00:51.0209590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 251, in forward_features 2025-09-07T08:00:51.0209950Z x = self.conv_stem(x) 2025-09-07T08:00:51.0210065Z 2025-09-07T08:00:51.0210179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0210578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0210928Z return mod(*inputs) 2025-09-07T08:00:51.0211277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0211632Z x = self.forward_features(x) 2025-09-07T08:00:51.0212017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 252, in forward_features 2025-09-07T08:00:51.0212401Z x = self.bn1(x) 2025-09-07T08:00:51.0212729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0213063Z x = self.act(x) 2025-09-07T08:00:51.0213198Z 2025-09-07T08:00:51.0213312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0213690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0214034Z return mod(*inputs) 2025-09-07T08:00:51.0214383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0214742Z x = self.forward_features(x) 2025-09-07T08:00:51.0215101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 252, in forward_features 2025-09-07T08:00:51.0215469Z x = self.bn1(x) 2025-09-07T08:00:51.0215814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0216159Z x = self.act(x) 2025-09-07T08:00:51.0216274Z 2025-09-07T08:00:51.0216384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0216791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0217142Z return mod(*inputs) 2025-09-07T08:00:51.0217486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0217888Z x = self.forward_features(x) 2025-09-07T08:00:51.0218325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0218764Z x = self.blocks(x) 2025-09-07T08:00:51.0219200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T08:00:51.0219605Z x = self.bn1(x) 2025-09-07T08:00:51.0219948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0220248Z x = self.act(x) 2025-09-07T08:00:51.0220425Z 2025-09-07T08:00:51.0220570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0221024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0221341Z return mod(*inputs) 2025-09-07T08:00:51.0221648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0221985Z x = self.forward_features(x) 2025-09-07T08:00:51.0222330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0222679Z x = self.blocks(x) 2025-09-07T08:00:51.0223004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T08:00:51.0223360Z x = self.bn1(x) 2025-09-07T08:00:51.0224321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0224644Z x = self.act(x) 2025-09-07T08:00:51.0224737Z 2025-09-07T08:00:51.0224850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0225201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0225515Z return mod(*inputs) 2025-09-07T08:00:51.0225832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0226171Z x = self.forward_features(x) 2025-09-07T08:00:51.0226516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0226856Z x = self.blocks(x) 2025-09-07T08:00:51.0227182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward 2025-09-07T08:00:51.0227523Z x = self.conv_pw(x) 2025-09-07T08:00:51.0227624Z 2025-09-07T08:00:51.0227755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0228098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0228436Z return mod(*inputs) 2025-09-07T08:00:51.0228745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0229076Z x = self.forward_features(x) 2025-09-07T08:00:51.0229420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0229755Z x = self.blocks(x) 2025-09-07T08:00:51.0230078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward 2025-09-07T08:00:51.0230416Z x = self.conv_pw(x) 2025-09-07T08:00:51.0230517Z 2025-09-07T08:00:51.0230626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0230967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0231280Z return mod(*inputs) 2025-09-07T08:00:51.0231590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0231919Z x = self.forward_features(x) 2025-09-07T08:00:51.0232264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0232597Z x = self.blocks(x) 2025-09-07T08:00:51.0232916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0233255Z x = self.bn1(x) 2025-09-07T08:00:51.0233540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0233844Z x = self.act(x) 2025-09-07T08:00:51.0233944Z 2025-09-07T08:00:51.0234049Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0234414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0234728Z return mod(*inputs) 2025-09-07T08:00:51.0235036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0235357Z x = self.forward_features(x) 2025-09-07T08:00:51.0235698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0236042Z x = self.blocks(x) 2025-09-07T08:00:51.0236361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0236689Z x = self.bn1(x) 2025-09-07T08:00:51.0236975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0237306Z x = self.act(x) 2025-09-07T08:00:51.0237396Z 2025-09-07T08:00:51.0237519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0237870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0238177Z return mod(*inputs) 2025-09-07T08:00:51.0238487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0238821Z x = self.forward_features(x) 2025-09-07T08:00:51.0239165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0239502Z x = self.blocks(x) 2025-09-07T08:00:51.0239820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0240155Z x = self.bn2(x) 2025-09-07T08:00:51.0240447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0240758Z x = self.act(x) 2025-09-07T08:00:51.0240848Z 2025-09-07T08:00:51.0240953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0241296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0241628Z return mod(*inputs) 2025-09-07T08:00:51.0241936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0242263Z x = self.forward_features(x) 2025-09-07T08:00:51.0242610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0242957Z x = self.blocks(x) 2025-09-07T08:00:51.0243279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0243617Z x = self.bn2(x) 2025-09-07T08:00:51.0243899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0244209Z x = self.act(x) 2025-09-07T08:00:51.0244301Z 2025-09-07T08:00:51.0244411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0244760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0245067Z return mod(*inputs) 2025-09-07T08:00:51.0245376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0245713Z x = self.forward_features(x) 2025-09-07T08:00:51.0246060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0246401Z x = self.blocks(x) 2025-09-07T08:00:51.0246715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0247063Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0247189Z 2025-09-07T08:00:51.0247300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0247662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0247970Z return mod(*inputs) 2025-09-07T08:00:51.0248280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0248611Z x = self.forward_features(x) 2025-09-07T08:00:51.0248955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0249300Z x = self.blocks(x) 2025-09-07T08:00:51.0249611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0249963Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0250114Z 2025-09-07T08:00:51.0250217Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0250583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0250891Z return mod(*inputs) 2025-09-07T08:00:51.0251202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0251535Z x = self.forward_features(x) 2025-09-07T08:00:51.0251880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0252225Z x = self.blocks(x) 2025-09-07T08:00:51.0252535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0252874Z x = self.bn1(x) 2025-09-07T08:00:51.0253163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0253473Z x = self.act(x) 2025-09-07T08:00:51.0253565Z 2025-09-07T08:00:51.0253666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0254014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0254331Z return mod(*inputs) 2025-09-07T08:00:51.0254644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0255013Z x = self.forward_features(x) 2025-09-07T08:00:51.0255350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0255695Z x = self.blocks(x) 2025-09-07T08:00:51.0256014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0256347Z x = self.bn1(x) 2025-09-07T08:00:51.0256625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0256939Z x = self.act(x) 2025-09-07T08:00:51.0257031Z 2025-09-07T08:00:51.0257135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0257503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0257836Z return mod(*inputs) 2025-09-07T08:00:51.0258167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0258514Z x = self.forward_features(x) 2025-09-07T08:00:51.0258879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0259244Z x = self.blocks(x) 2025-09-07T08:00:51.0259571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0259925Z x = self.bn2(x) 2025-09-07T08:00:51.0260240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0260554Z x = self.act(x) 2025-09-07T08:00:51.0260642Z 2025-09-07T08:00:51.0260767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0261150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0261468Z return mod(*inputs) 2025-09-07T08:00:51.0261780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0262118Z x = self.forward_features(x) 2025-09-07T08:00:51.0262454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0262799Z x = self.blocks(x) 2025-09-07T08:00:51.0263115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0263452Z x = self.bn2(x) 2025-09-07T08:00:51.0263754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0264056Z x = self.act(x) 2025-09-07T08:00:51.0264169Z 2025-09-07T08:00:51.0264255Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0264495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0264846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0265155Z return mod(*inputs) 2025-09-07T08:00:51.0265467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0265803Z x = self.forward_features(x) 2025-09-07T08:00:51.0266152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0266498Z x = self.blocks(x) 2025-09-07T08:00:51.0266820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0267161Z x = self.bn1(x) 2025-09-07T08:00:51.0267452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0267766Z x = self.act(x) 2025-09-07T08:00:51.0267856Z 2025-09-07T08:00:51.0267958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0268321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0268633Z return mod(*inputs) 2025-09-07T08:00:51.0268948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0269276Z x = self.forward_features(x) 2025-09-07T08:00:51.0269620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0269963Z x = self.blocks(x) 2025-09-07T08:00:51.0270285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0270625Z x = self.bn1(x) 2025-09-07T08:00:51.0270908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0271219Z x = self.act(x) 2025-09-07T08:00:51.0271319Z 2025-09-07T08:00:51.0271423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0271771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0272078Z return mod(*inputs) 2025-09-07T08:00:51.0272390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0272721Z x = self.forward_features(x) 2025-09-07T08:00:51.0273072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0273408Z x = self.blocks(x) 2025-09-07T08:00:51.0273712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0274042Z x = self.bn2(x) 2025-09-07T08:00:51.0274339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0274645Z x = self.act(x) 2025-09-07T08:00:51.0274732Z 2025-09-07T08:00:51.0274832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0275169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0275469Z return mod(*inputs) 2025-09-07T08:00:51.0275775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0276097Z x = self.forward_features(x) 2025-09-07T08:00:51.0276422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0276778Z x = self.blocks(x) 2025-09-07T08:00:51.0277107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0277435Z x = self.bn2(x) 2025-09-07T08:00:51.0277708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0278008Z x = self.act(x) 2025-09-07T08:00:51.0278105Z 2025-09-07T08:00:51.0278204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0278540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0278845Z return mod(*inputs) 2025-09-07T08:00:51.0279137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0279456Z x = self.forward_features(x) 2025-09-07T08:00:51.0279792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0280126Z x = self.blocks(x) 2025-09-07T08:00:51.0280434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0280772Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0280899Z 2025-09-07T08:00:51.0281017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0281358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0281767Z return mod(*inputs) 2025-09-07T08:00:51.0282072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0282408Z x = self.forward_features(x) 2025-09-07T08:00:51.0282755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0283103Z x = self.blocks(x) 2025-09-07T08:00:51.0283417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0283767Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0283900Z 2025-09-07T08:00:51.0284003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0284352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0284672Z return mod(*inputs) 2025-09-07T08:00:51.0284973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0285301Z x = self.forward_features(x) 2025-09-07T08:00:51.0285643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0286001Z x = self.blocks(x) 2025-09-07T08:00:51.0286308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0286646Z x = self.bn1(x) 2025-09-07T08:00:51.0286935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0287289Z x = self.act(x) 2025-09-07T08:00:51.0287380Z 2025-09-07T08:00:51.0287487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0287824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0288139Z return mod(*inputs) 2025-09-07T08:00:51.0288450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0288780Z x = self.forward_features(x) 2025-09-07T08:00:51.0289121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0289468Z x = self.blocks(x) 2025-09-07T08:00:51.0289790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0290158Z x = self.bn1(x) 2025-09-07T08:00:51.0290462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0290758Z x = self.act(x) 2025-09-07T08:00:51.0290853Z 2025-09-07T08:00:51.0290953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0291296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0291596Z return mod(*inputs) 2025-09-07T08:00:51.0291891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0292213Z x = self.forward_features(x) 2025-09-07T08:00:51.0292553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0292897Z x = self.blocks(x) 2025-09-07T08:00:51.0293211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0293531Z x = self.bn2(x) 2025-09-07T08:00:51.0293814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0294119Z x = self.act(x) 2025-09-07T08:00:51.0294230Z 2025-09-07T08:00:51.0294336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0294663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0294965Z return mod(*inputs) 2025-09-07T08:00:51.0295264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0295589Z x = self.forward_features(x) 2025-09-07T08:00:51.0295925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0296252Z x = self.blocks(x) 2025-09-07T08:00:51.0296567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0296894Z x = self.bn2(x) 2025-09-07T08:00:51.0297175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0297468Z x = self.act(x) 2025-09-07T08:00:51.0297562Z 2025-09-07T08:00:51.0297643Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0297878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0298212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0298519Z return mod(*inputs) 2025-09-07T08:00:51.0298819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0299141Z x = self.forward_features(x) 2025-09-07T08:00:51.0299479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0299815Z x = self.blocks(x) 2025-09-07T08:00:51.0300135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0300466Z x = self.bn1(x) 2025-09-07T08:00:51.0300746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0301048Z x = self.act(x) 2025-09-07T08:00:51.0301134Z 2025-09-07T08:00:51.0301239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0301572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0301879Z return mod(*inputs) 2025-09-07T08:00:51.0302184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0302504Z x = self.forward_features(x) 2025-09-07T08:00:51.0302855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0303217Z x = self.blocks(x) 2025-09-07T08:00:51.0303531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0303858Z x = self.bn1(x) 2025-09-07T08:00:51.0304138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0304428Z x = self.act(x) 2025-09-07T08:00:51.0304525Z 2025-09-07T08:00:51.0304626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0304974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0305281Z return mod(*inputs) 2025-09-07T08:00:51.0305578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0305902Z x = self.forward_features(x) 2025-09-07T08:00:51.0306242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0306580Z x = self.blocks(x) 2025-09-07T08:00:51.0306892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0307228Z x = self.bn2(x) 2025-09-07T08:00:51.0307513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0307817Z x = self.act(x) 2025-09-07T08:00:51.0307906Z 2025-09-07T08:00:51.0308015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0308348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0308657Z return mod(*inputs) 2025-09-07T08:00:51.0308965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0309295Z x = self.forward_features(x) 2025-09-07T08:00:51.0309638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0309972Z x = self.blocks(x) 2025-09-07T08:00:51.0310289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0310622Z x = self.bn2(x) 2025-09-07T08:00:51.0310905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0311202Z x = self.act(x) 2025-09-07T08:00:51.0311302Z 2025-09-07T08:00:51.0311385Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0311624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0311962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0312264Z return mod(*inputs) 2025-09-07T08:00:51.0312573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0312903Z x = self.forward_features(x) 2025-09-07T08:00:51.0313262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0313602Z x = self.blocks(x) 2025-09-07T08:00:51.0313905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0314231Z x = self.bn1(x) 2025-09-07T08:00:51.0314511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0314814Z x = self.act(x) 2025-09-07T08:00:51.0314903Z 2025-09-07T08:00:51.0315003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0315341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0315667Z return mod(*inputs) 2025-09-07T08:00:51.0315985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0316313Z x = self.forward_features(x) 2025-09-07T08:00:51.0316640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0316982Z x = self.blocks(x) 2025-09-07T08:00:51.0317292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0317617Z x = self.bn1(x) 2025-09-07T08:00:51.0317886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0318184Z x = self.act(x) 2025-09-07T08:00:51.0318277Z 2025-09-07T08:00:51.0318377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0318716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0319021Z return mod(*inputs) 2025-09-07T08:00:51.0319316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0319639Z x = self.forward_features(x) 2025-09-07T08:00:51.0319973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0320324Z x = self.blocks(x) 2025-09-07T08:00:51.0320628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0320955Z x = self.bn2(x) 2025-09-07T08:00:51.0321231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0321531Z x = self.act(x) 2025-09-07T08:00:51.0321616Z 2025-09-07T08:00:51.0321720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0322053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0322363Z return mod(*inputs) 2025-09-07T08:00:51.0322665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0322992Z x = self.forward_features(x) 2025-09-07T08:00:51.0323325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0323663Z x = self.blocks(x) 2025-09-07T08:00:51.0323973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0324302Z x = self.bn2(x) 2025-09-07T08:00:51.0324586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0324881Z x = self.act(x) 2025-09-07T08:00:51.0324977Z 2025-09-07T08:00:51.0325076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0325417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0325726Z return mod(*inputs) 2025-09-07T08:00:51.0326066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0326391Z x = self.forward_features(x) 2025-09-07T08:00:51.0326725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0327059Z x = self.blocks(x) 2025-09-07T08:00:51.0327369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0327698Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0327827Z 2025-09-07T08:00:51.0327928Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0328267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0328598Z return mod(*inputs) 2025-09-07T08:00:51.0328915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0329243Z x = self.forward_features(x) 2025-09-07T08:00:51.0329579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0329915Z x = self.blocks(x) 2025-09-07T08:00:51.0330224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0330556Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0330683Z 2025-09-07T08:00:51.0330894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0331233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0331535Z return mod(*inputs) 2025-09-07T08:00:51.0331836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0332156Z x = self.forward_features(x) 2025-09-07T08:00:51.0332497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0332836Z x = self.blocks(x) 2025-09-07T08:00:51.0333167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0333487Z x = self.bn1(x) 2025-09-07T08:00:51.0333771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0334074Z x = self.act(x) 2025-09-07T08:00:51.0334162Z 2025-09-07T08:00:51.0334268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0334606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0334899Z return mod(*inputs) 2025-09-07T08:00:51.0335204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0335525Z x = self.forward_features(x) 2025-09-07T08:00:51.0335864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0336192Z x = self.blocks(x) 2025-09-07T08:00:51.0336505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0336831Z x = self.bn1(x) 2025-09-07T08:00:51.0337112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0337411Z x = self.act(x) 2025-09-07T08:00:51.0337497Z 2025-09-07T08:00:51.0337596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0337933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0338239Z return mod(*inputs) 2025-09-07T08:00:51.0338544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0338872Z x = self.forward_features(x) 2025-09-07T08:00:51.0339214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0339558Z x = self.blocks(x) 2025-09-07T08:00:51.0339871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0340198Z x = self.bn2(x) 2025-09-07T08:00:51.0340476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0340775Z x = self.act(x) 2025-09-07T08:00:51.0340863Z 2025-09-07T08:00:51.0340971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0341308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0341622Z return mod(*inputs) 2025-09-07T08:00:51.0341944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0342278Z x = self.forward_features(x) 2025-09-07T08:00:51.0342623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0342967Z x = self.blocks(x) 2025-09-07T08:00:51.0343278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0343611Z x = self.bn2(x) 2025-09-07T08:00:51.0343898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0344206Z x = self.act(x) 2025-09-07T08:00:51.0344294Z 2025-09-07T08:00:51.0344377Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0344619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0344965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0345277Z return mod(*inputs) 2025-09-07T08:00:51.0345582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0345924Z x = self.forward_features(x) 2025-09-07T08:00:51.0346260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0346597Z x = self.blocks(x) 2025-09-07T08:00:51.0346906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0347223Z x = self.bn1(x) 2025-09-07T08:00:51.0347499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0347799Z x = self.act(x) 2025-09-07T08:00:51.0347888Z 2025-09-07T08:00:51.0347991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0348323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0348626Z return mod(*inputs) 2025-09-07T08:00:51.0348928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0349254Z x = self.forward_features(x) 2025-09-07T08:00:51.0349585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0349913Z x = self.blocks(x) 2025-09-07T08:00:51.0350225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0350545Z x = self.bn1(x) 2025-09-07T08:00:51.0350823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0351116Z x = self.act(x) 2025-09-07T08:00:51.0351211Z 2025-09-07T08:00:51.0351310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0351664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0351968Z return mod(*inputs) 2025-09-07T08:00:51.0352265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0352587Z x = self.forward_features(x) 2025-09-07T08:00:51.0352922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0353257Z x = self.blocks(x) 2025-09-07T08:00:51.0353569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0353888Z x = self.bn2(x) 2025-09-07T08:00:51.0354170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0354498Z x = self.act(x) 2025-09-07T08:00:51.0354585Z 2025-09-07T08:00:51.0354709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0355053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0355348Z return mod(*inputs) 2025-09-07T08:00:51.0355650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0355971Z x = self.forward_features(x) 2025-09-07T08:00:51.0356309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0356636Z x = self.blocks(x) 2025-09-07T08:00:51.0356952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0357280Z x = self.bn2(x) 2025-09-07T08:00:51.0357557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0357860Z x = self.act(x) 2025-09-07T08:00:51.0357948Z 2025-09-07T08:00:51.0358031Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0358265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0358605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0358928Z return mod(*inputs) 2025-09-07T08:00:51.0359223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0359548Z x = self.forward_features(x) 2025-09-07T08:00:51.0359884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0360223Z x = self.blocks(x) 2025-09-07T08:00:51.0360532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0360851Z x = self.bn1(x) 2025-09-07T08:00:51.0361132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0361433Z x = self.act(x) 2025-09-07T08:00:51.0361522Z 2025-09-07T08:00:51.0361630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0361958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0362261Z return mod(*inputs) 2025-09-07T08:00:51.0362563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0362888Z x = self.forward_features(x) 2025-09-07T08:00:51.0363222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0363551Z x = self.blocks(x) 2025-09-07T08:00:51.0363858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0364184Z x = self.bn1(x) 2025-09-07T08:00:51.0364478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0364770Z x = self.act(x) 2025-09-07T08:00:51.0364864Z 2025-09-07T08:00:51.0364961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0365301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0365606Z return mod(*inputs) 2025-09-07T08:00:51.0365909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0366224Z x = self.forward_features(x) 2025-09-07T08:00:51.0366562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0366898Z x = self.blocks(x) 2025-09-07T08:00:51.0367210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0367551Z x = self.bn2(x) 2025-09-07T08:00:51.0367844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0368152Z x = self.act(x) 2025-09-07T08:00:51.0368239Z 2025-09-07T08:00:51.0368347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0368685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0368982Z return mod(*inputs) 2025-09-07T08:00:51.0369282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0369606Z x = self.forward_features(x) 2025-09-07T08:00:51.0369941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0370272Z x = self.blocks(x) 2025-09-07T08:00:51.0370584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0370911Z x = self.bn2(x) 2025-09-07T08:00:51.0371190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0371509Z x = self.act(x) 2025-09-07T08:00:51.0371595Z 2025-09-07T08:00:51.0371672Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0371905Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0372245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0372553Z return mod(*inputs) 2025-09-07T08:00:51.0372846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0373171Z x = self.forward_features(x) 2025-09-07T08:00:51.0373507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0373848Z x = self.blocks(x) 2025-09-07T08:00:51.0374154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0374480Z x = self.bn1(x) 2025-09-07T08:00:51.0374763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0375064Z x = self.act(x) 2025-09-07T08:00:51.0375149Z 2025-09-07T08:00:51.0375256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0375587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0375887Z return mod(*inputs) 2025-09-07T08:00:51.0376191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0376512Z x = self.forward_features(x) 2025-09-07T08:00:51.0376842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0377179Z x = self.blocks(x) 2025-09-07T08:00:51.0377502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0377831Z x = self.bn1(x) 2025-09-07T08:00:51.0378112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0378406Z x = self.act(x) 2025-09-07T08:00:51.0378502Z 2025-09-07T08:00:51.0378603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0378946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0379249Z return mod(*inputs) 2025-09-07T08:00:51.0379545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0379872Z x = self.forward_features(x) 2025-09-07T08:00:51.0380227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0380580Z x = self.blocks(x) 2025-09-07T08:00:51.0380892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0381213Z x = self.bn2(x) 2025-09-07T08:00:51.0381492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0381873Z x = self.act(x) 2025-09-07T08:00:51.0381963Z 2025-09-07T08:00:51.0382076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0382411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0382721Z return mod(*inputs) 2025-09-07T08:00:51.0383028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0383362Z x = self.forward_features(x) 2025-09-07T08:00:51.0383705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0384042Z x = self.blocks(x) 2025-09-07T08:00:51.0384362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0384721Z x = self.bn2(x) 2025-09-07T08:00:51.0384997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0385288Z x = self.act(x) 2025-09-07T08:00:51.0385385Z 2025-09-07T08:00:51.0385484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0385820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0386125Z return mod(*inputs) 2025-09-07T08:00:51.0386426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0386745Z x = self.forward_features(x) 2025-09-07T08:00:51.0387088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0387422Z x = self.blocks(x) 2025-09-07T08:00:51.0387736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0388066Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0388194Z 2025-09-07T08:00:51.0388292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0388631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0388938Z return mod(*inputs) 2025-09-07T08:00:51.0389240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0389551Z x = self.forward_features(x) 2025-09-07T08:00:51.0389888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0390221Z x = self.blocks(x) 2025-09-07T08:00:51.0390559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0390894Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0391024Z 2025-09-07T08:00:51.0391124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0391462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0391767Z return mod(*inputs) 2025-09-07T08:00:51.0392068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0392386Z x = self.forward_features(x) 2025-09-07T08:00:51.0392726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0393085Z x = self.blocks(x) 2025-09-07T08:00:51.0393419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0393741Z x = self.bn1(x) 2025-09-07T08:00:51.0394022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0394325Z x = self.act(x) 2025-09-07T08:00:51.0394414Z 2025-09-07T08:00:51.0394521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0394860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0395159Z return mod(*inputs) 2025-09-07T08:00:51.0395459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0395784Z x = self.forward_features(x) 2025-09-07T08:00:51.0396122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0396454Z x = self.blocks(x) 2025-09-07T08:00:51.0396770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0397097Z x = self.bn1(x) 2025-09-07T08:00:51.0397396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0397700Z x = self.act(x) 2025-09-07T08:00:51.0397792Z 2025-09-07T08:00:51.0397891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0398225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0398535Z return mod(*inputs) 2025-09-07T08:00:51.0398832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0399144Z x = self.forward_features(x) 2025-09-07T08:00:51.0399478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0399811Z x = self.blocks(x) 2025-09-07T08:00:51.0400121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0400450Z x = self.bn2(x) 2025-09-07T08:00:51.0400721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0401023Z x = self.act(x) 2025-09-07T08:00:51.0401116Z 2025-09-07T08:00:51.0401215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0401553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0401847Z return mod(*inputs) 2025-09-07T08:00:51.0402151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0402476Z x = self.forward_features(x) 2025-09-07T08:00:51.0402809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0403170Z x = self.blocks(x) 2025-09-07T08:00:51.0403475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0403802Z x = self.bn2(x) 2025-09-07T08:00:51.0404085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0404389Z x = self.act(x) 2025-09-07T08:00:51.0404476Z 2025-09-07T08:00:51.0404558Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0404791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0405132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0405444Z return mod(*inputs) 2025-09-07T08:00:51.0405752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0406085Z x = self.forward_features(x) 2025-09-07T08:00:51.0406433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0406774Z x = self.blocks(x) 2025-09-07T08:00:51.0407085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0407404Z x = self.bn1(x) 2025-09-07T08:00:51.0407685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0407984Z x = self.act(x) 2025-09-07T08:00:51.0408072Z 2025-09-07T08:00:51.0408179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0408519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0408816Z return mod(*inputs) 2025-09-07T08:00:51.0409121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0409449Z x = self.forward_features(x) 2025-09-07T08:00:51.0409787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0410134Z x = self.blocks(x) 2025-09-07T08:00:51.0410450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0410776Z x = self.bn1(x) 2025-09-07T08:00:51.0411056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0411357Z x = self.act(x) 2025-09-07T08:00:51.0411445Z 2025-09-07T08:00:51.0411543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0411884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0412190Z return mod(*inputs) 2025-09-07T08:00:51.0412493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0412811Z x = self.forward_features(x) 2025-09-07T08:00:51.0413148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0413484Z x = self.blocks(x) 2025-09-07T08:00:51.0413795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0414122Z x = self.bn2(x) 2025-09-07T08:00:51.0414395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0414699Z x = self.act(x) 2025-09-07T08:00:51.0414784Z 2025-09-07T08:00:51.0414891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0415232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0415532Z return mod(*inputs) 2025-09-07T08:00:51.0415854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0416182Z x = self.forward_features(x) 2025-09-07T08:00:51.0416516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0416856Z x = self.blocks(x) 2025-09-07T08:00:51.0417161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0417486Z x = self.bn2(x) 2025-09-07T08:00:51.0417765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0418063Z x = self.act(x) 2025-09-07T08:00:51.0418148Z 2025-09-07T08:00:51.0418228Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0418460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0418814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0419137Z return mod(*inputs) 2025-09-07T08:00:51.0419436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0419761Z x = self.forward_features(x) 2025-09-07T08:00:51.0420095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0420430Z x = self.blocks(x) 2025-09-07T08:00:51.0420744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0421064Z x = self.bn1(x) 2025-09-07T08:00:51.0421343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0421643Z x = self.act(x) 2025-09-07T08:00:51.0421732Z 2025-09-07T08:00:51.0421838Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0422171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0422482Z return mod(*inputs) 2025-09-07T08:00:51.0422781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0423124Z x = self.forward_features(x) 2025-09-07T08:00:51.0423463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0423794Z x = self.blocks(x) 2025-09-07T08:00:51.0424108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0424438Z x = self.bn1(x) 2025-09-07T08:00:51.0424719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0425019Z x = self.act(x) 2025-09-07T08:00:51.0425113Z 2025-09-07T08:00:51.0425209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0425550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0425858Z return mod(*inputs) 2025-09-07T08:00:51.0426164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0426483Z x = self.forward_features(x) 2025-09-07T08:00:51.0426816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0427154Z x = self.blocks(x) 2025-09-07T08:00:51.0427465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0427789Z x = self.bn2(x) 2025-09-07T08:00:51.0428071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0428378Z x = self.act(x) 2025-09-07T08:00:51.0428464Z 2025-09-07T08:00:51.0428573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0428929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0429231Z return mod(*inputs) 2025-09-07T08:00:51.0429539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0429866Z x = self.forward_features(x) 2025-09-07T08:00:51.0430203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0430532Z x = self.blocks(x) 2025-09-07T08:00:51.0430841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0431166Z x = self.bn2(x) 2025-09-07T08:00:51.0431443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0431792Z x = self.act(x) 2025-09-07T08:00:51.0431881Z 2025-09-07T08:00:51.0431999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0432339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0432646Z return mod(*inputs) 2025-09-07T08:00:51.0432946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0433260Z x = self.forward_features(x) 2025-09-07T08:00:51.0433598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0433936Z x = self.blocks(x) 2025-09-07T08:00:51.0434250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0434591Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0434711Z 2025-09-07T08:00:51.0434812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0435152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0435459Z return mod(*inputs) 2025-09-07T08:00:51.0435759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0436091Z x = self.forward_features(x) 2025-09-07T08:00:51.0436425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0436761Z x = self.blocks(x) 2025-09-07T08:00:51.0437074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:00:51.0437412Z x = self.drop_path(x) + shortcut 2025-09-07T08:00:51.0437533Z 2025-09-07T08:00:51.0437632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0437972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0438278Z return mod(*inputs) 2025-09-07T08:00:51.0438586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0438899Z x = self.forward_features(x) 2025-09-07T08:00:51.0439235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0439569Z x = self.blocks(x) 2025-09-07T08:00:51.0439885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0440209Z x = self.bn1(x) 2025-09-07T08:00:51.0440485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0440787Z x = self.act(x) 2025-09-07T08:00:51.0440883Z 2025-09-07T08:00:51.0440982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0441322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0441622Z return mod(*inputs) 2025-09-07T08:00:51.0441944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0442271Z x = self.forward_features(x) 2025-09-07T08:00:51.0442604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0442938Z x = self.blocks(x) 2025-09-07T08:00:51.0443240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0443567Z x = self.bn1(x) 2025-09-07T08:00:51.0443846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0444149Z x = self.act(x) 2025-09-07T08:00:51.0444256Z 2025-09-07T08:00:51.0444356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0444714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0445023Z return mod(*inputs) 2025-09-07T08:00:51.0445321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0445644Z x = self.forward_features(x) 2025-09-07T08:00:51.0445966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0446304Z x = self.blocks(x) 2025-09-07T08:00:51.0446616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0446945Z x = self.bn2(x) 2025-09-07T08:00:51.0447219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0447522Z x = self.act(x) 2025-09-07T08:00:51.0447615Z 2025-09-07T08:00:51.0447717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0448054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0448364Z return mod(*inputs) 2025-09-07T08:00:51.0448657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0449011Z x = self.forward_features(x) 2025-09-07T08:00:51.0449346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0449680Z x = self.blocks(x) 2025-09-07T08:00:51.0449984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0450307Z x = self.bn2(x) 2025-09-07T08:00:51.0450586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0450891Z x = self.act(x) 2025-09-07T08:00:51.0450979Z 2025-09-07T08:00:51.0451065Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0451292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0451630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0451939Z return mod(*inputs) 2025-09-07T08:00:51.0452244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0452561Z x = self.forward_features(x) 2025-09-07T08:00:51.0452898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0453239Z x = self.blocks(x) 2025-09-07T08:00:51.0453551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0453875Z x = self.bn1(x) 2025-09-07T08:00:51.0454147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0454455Z x = self.act(x) 2025-09-07T08:00:51.0454543Z 2025-09-07T08:00:51.0454663Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0454999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0455300Z return mod(*inputs) 2025-09-07T08:00:51.0455601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0455926Z x = self.forward_features(x) 2025-09-07T08:00:51.0456263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0456597Z x = self.blocks(x) 2025-09-07T08:00:51.0456900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0457242Z x = self.bn1(x) 2025-09-07T08:00:51.0457560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0457867Z x = self.act(x) 2025-09-07T08:00:51.0457957Z 2025-09-07T08:00:51.0458058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0458403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0458709Z return mod(*inputs) 2025-09-07T08:00:51.0459012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0459334Z x = self.forward_features(x) 2025-09-07T08:00:51.0459663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0460004Z x = self.blocks(x) 2025-09-07T08:00:51.0460315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0460644Z x = self.bn2(x) 2025-09-07T08:00:51.0460919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0461221Z x = self.act(x) 2025-09-07T08:00:51.0461313Z 2025-09-07T08:00:51.0461414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0461767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0462072Z return mod(*inputs) 2025-09-07T08:00:51.0462366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0462688Z x = self.forward_features(x) 2025-09-07T08:00:51.0463023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0463356Z x = self.blocks(x) 2025-09-07T08:00:51.0463662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0463989Z x = self.bn2(x) 2025-09-07T08:00:51.0464270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0464568Z x = self.act(x) 2025-09-07T08:00:51.0464656Z 2025-09-07T08:00:51.0464744Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0464971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0465311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0465620Z return mod(*inputs) 2025-09-07T08:00:51.0465925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0466245Z x = self.forward_features(x) 2025-09-07T08:00:51.0466587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0466923Z x = self.blocks(x) 2025-09-07T08:00:51.0467235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0467570Z x = self.bn1(x) 2025-09-07T08:00:51.0467852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0468158Z x = self.act(x) 2025-09-07T08:00:51.0468244Z 2025-09-07T08:00:51.0468352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0468690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0468988Z return mod(*inputs) 2025-09-07T08:00:51.0469290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0469616Z x = self.forward_features(x) 2025-09-07T08:00:51.0469951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0470298Z x = self.blocks(x) 2025-09-07T08:00:51.0470627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:00:51.0470951Z x = self.bn1(x) 2025-09-07T08:00:51.0471232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0471539Z x = self.act(x) 2025-09-07T08:00:51.0471625Z 2025-09-07T08:00:51.0471724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0472061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0472369Z return mod(*inputs) 2025-09-07T08:00:51.0472675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0472991Z x = self.forward_features(x) 2025-09-07T08:00:51.0473333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0473670Z x = self.blocks(x) 2025-09-07T08:00:51.0473981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0474308Z x = self.bn2(x) 2025-09-07T08:00:51.0474593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0474893Z x = self.act(x) 2025-09-07T08:00:51.0474992Z 2025-09-07T08:00:51.0475095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0475429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0475725Z return mod(*inputs) 2025-09-07T08:00:51.0476026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0476346Z x = self.forward_features(x) 2025-09-07T08:00:51.0476684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0477022Z x = self.blocks(x) 2025-09-07T08:00:51.0477325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:00:51.0477650Z x = self.bn2(x) 2025-09-07T08:00:51.0477930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0478225Z x = self.act(x) 2025-09-07T08:00:51.0478312Z 2025-09-07T08:00:51.0478412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0478749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0479055Z return mod(*inputs) 2025-09-07T08:00:51.0479359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0479685Z x = self.forward_features(x) 2025-09-07T08:00:51.0480015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0480368Z x = self.blocks(x) 2025-09-07T08:00:51.0480685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:00:51.0481023Z x = self.conv_pwl(x) 2025-09-07T08:00:51.0481130Z 2025-09-07T08:00:51.0481231Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0481602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0481935Z return mod(*inputs) 2025-09-07T08:00:51.0482240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0482563Z x = self.forward_features(x) 2025-09-07T08:00:51.0482895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:00:51.0483267Z x = self.blocks(x) 2025-09-07T08:00:51.0483600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:00:51.0483934Z x = self.conv_pwl(x) 2025-09-07T08:00:51.0484042Z 2025-09-07T08:00:51.0484143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0484483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0484786Z return mod(*inputs) 2025-09-07T08:00:51.0485093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0485415Z x = self.forward_features(x) 2025-09-07T08:00:51.0485743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:00:51.0486079Z x = self.bn2(x) 2025-09-07T08:00:51.0486365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0486667Z x = self.act(x) 2025-09-07T08:00:51.0486758Z 2025-09-07T08:00:51.0486859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0487197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0487529Z return mod(*inputs) 2025-09-07T08:00:51.0487829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:00:51.0488152Z x = self.forward_features(x) 2025-09-07T08:00:51.0488481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:00:51.0488816Z x = self.bn2(x) 2025-09-07T08:00:51.0489095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:00:51.0489395Z x = self.act(x) 2025-09-07T08:00:51.0489481Z 2025-09-07T08:00:51.0489561Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0489794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:51.0490134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:00:51.0490442Z return mod(*inputs) 2025-09-07T08:00:51.0490743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:00:51.0491058Z x = self.forward_head(x) 2025-09-07T08:00:51.0491385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T08:00:51.0491720Z x = self.global_pool(x) 2025-09-07T08:00:51.0492051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:00:51.0492376Z x = self.pool(x) 2025-09-07T08:00:51.0492486Z 2025-09-07T08:00:51.0492567Z cudagraph partition due to non gpu ops 2025-09-07T08:00:51.0492777Z cudagraph partition due to non gpu ops 2025-09-07T08:00:58.4049563Z pass 2025-09-07T08:00:58.4050219Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:00.5124095Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:01:00.5125729Z import pynvml # type: ignore[import] 2025-09-07T08:01:02.6884887Z 2025-09-07T08:01:02.8766622Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:01:02.8766928Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:01:02.8767192Z cpu eval mobilenetv3_large_100 2025-09-07T08:01:03.5476573Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:03.5944538Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:03.6398519Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:15.0751503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0751959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0752286Z return mod(*inputs) 2025-09-07T08:01:15.0752625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0752968Z x = self.forward_features(x) 2025-09-07T08:01:15.0753315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 250, in forward_features 2025-09-07T08:01:15.0753661Z x = self.conv_stem(x) 2025-09-07T08:01:15.0753772Z 2025-09-07T08:01:15.0753885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0754244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0754568Z return mod(*inputs) 2025-09-07T08:01:15.0754908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0755469Z x = self.forward_features(x) 2025-09-07T08:01:15.0755816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0756157Z x = self.blocks(x) 2025-09-07T08:01:15.0756486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 197, in forward 2025-09-07T08:01:15.0756829Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.0756969Z 2025-09-07T08:01:15.0757073Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0757424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0757743Z return mod(*inputs) 2025-09-07T08:01:15.0758052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0758373Z x = self.forward_features(x) 2025-09-07T08:01:15.0758708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0759043Z x = self.blocks(x) 2025-09-07T08:01:15.0759480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 197, in forward 2025-09-07T08:01:15.0759830Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.0759953Z 2025-09-07T08:01:15.0760057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0760406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0760725Z return mod(*inputs) 2025-09-07T08:01:15.0761042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0761372Z x = self.forward_features(x) 2025-09-07T08:01:15.0761786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0762139Z x = self.blocks(x) 2025-09-07T08:01:15.0762465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T08:01:15.0762800Z x = self.bn1(x) 2025-09-07T08:01:15.0763089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0763406Z x = self.act(x) 2025-09-07T08:01:15.0763500Z 2025-09-07T08:01:15.0763610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0763961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0764328Z return mod(*inputs) 2025-09-07T08:01:15.0764638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0765008Z x = self.forward_features(x) 2025-09-07T08:01:15.0765358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0765708Z x = self.blocks(x) 2025-09-07T08:01:15.0766027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T08:01:15.0766374Z x = self.bn1(x) 2025-09-07T08:01:15.0766675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0766993Z x = self.act(x) 2025-09-07T08:01:15.0767083Z 2025-09-07T08:01:15.0767168Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0767410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0767756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0768073Z return mod(*inputs) 2025-09-07T08:01:15.0768390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0768719Z x = self.forward_features(x) 2025-09-07T08:01:15.0769089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0769433Z x = self.blocks(x) 2025-09-07T08:01:15.0769752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0770083Z x = self.bn1(x) 2025-09-07T08:01:15.0770381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0770693Z x = self.act(x) 2025-09-07T08:01:15.0770782Z 2025-09-07T08:01:15.0770891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0771244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0771555Z return mod(*inputs) 2025-09-07T08:01:15.0771863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0772195Z x = self.forward_features(x) 2025-09-07T08:01:15.0772546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0772880Z x = self.blocks(x) 2025-09-07T08:01:15.0773199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0773541Z x = self.bn1(x) 2025-09-07T08:01:15.0773827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0774131Z x = self.act(x) 2025-09-07T08:01:15.0774220Z 2025-09-07T08:01:15.0774323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0774667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0774999Z return mod(*inputs) 2025-09-07T08:01:15.0775310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0775634Z x = self.forward_features(x) 2025-09-07T08:01:15.0775979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0776324Z x = self.blocks(x) 2025-09-07T08:01:15.0776642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0776976Z x = self.bn2(x) 2025-09-07T08:01:15.0777256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0777566Z x = self.act(x) 2025-09-07T08:01:15.0777684Z 2025-09-07T08:01:15.0777787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0778157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0778465Z return mod(*inputs) 2025-09-07T08:01:15.0778773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0779105Z x = self.forward_features(x) 2025-09-07T08:01:15.0779450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0779796Z x = self.blocks(x) 2025-09-07T08:01:15.0780109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0780445Z x = self.bn2(x) 2025-09-07T08:01:15.0780731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0781042Z x = self.act(x) 2025-09-07T08:01:15.0781131Z 2025-09-07T08:01:15.0781232Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0781663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0781980Z return mod(*inputs) 2025-09-07T08:01:15.0782324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0782658Z x = self.forward_features(x) 2025-09-07T08:01:15.0782997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0783355Z x = self.blocks(x) 2025-09-07T08:01:15.0783688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.0784051Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.0784178Z 2025-09-07T08:01:15.0784284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0784641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0784961Z return mod(*inputs) 2025-09-07T08:01:15.0785287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0785630Z x = self.forward_features(x) 2025-09-07T08:01:15.0785973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0786325Z x = self.blocks(x) 2025-09-07T08:01:15.0786656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.0787012Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.0787138Z 2025-09-07T08:01:15.0787241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0787596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0787919Z return mod(*inputs) 2025-09-07T08:01:15.0788236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0788652Z x = self.forward_features(x) 2025-09-07T08:01:15.0788996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0789350Z x = self.blocks(x) 2025-09-07T08:01:15.0789678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0790027Z x = self.bn1(x) 2025-09-07T08:01:15.0790313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0790636Z x = self.act(x) 2025-09-07T08:01:15.0790736Z 2025-09-07T08:01:15.0790841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0791201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0791552Z return mod(*inputs) 2025-09-07T08:01:15.0791885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0792225Z x = self.forward_features(x) 2025-09-07T08:01:15.0792590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0792945Z x = self.blocks(x) 2025-09-07T08:01:15.0793273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0793628Z x = self.bn1(x) 2025-09-07T08:01:15.0793928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0794255Z x = self.act(x) 2025-09-07T08:01:15.0794349Z 2025-09-07T08:01:15.0794464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0794824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0795152Z return mod(*inputs) 2025-09-07T08:01:15.0795480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0795879Z x = self.forward_features(x) 2025-09-07T08:01:15.0796273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0796621Z x = self.blocks(x) 2025-09-07T08:01:15.0796938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0797282Z x = self.bn2(x) 2025-09-07T08:01:15.0797576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0797892Z x = self.act(x) 2025-09-07T08:01:15.0797982Z 2025-09-07T08:01:15.0798089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0798453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0798775Z return mod(*inputs) 2025-09-07T08:01:15.0799088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0799417Z x = self.forward_features(x) 2025-09-07T08:01:15.0799768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0800119Z x = self.blocks(x) 2025-09-07T08:01:15.0800446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0800788Z x = self.bn2(x) 2025-09-07T08:01:15.0801076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0801395Z x = self.act(x) 2025-09-07T08:01:15.0801494Z 2025-09-07T08:01:15.0801579Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0801823Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0802190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0802514Z return mod(*inputs) 2025-09-07T08:01:15.0802833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0803173Z x = self.forward_features(x) 2025-09-07T08:01:15.0803523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0803873Z x = self.blocks(x) 2025-09-07T08:01:15.0804201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0804550Z x = self.bn1(x) 2025-09-07T08:01:15.0804846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0805199Z x = self.act(x) 2025-09-07T08:01:15.0805302Z 2025-09-07T08:01:15.0805425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0805788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0806116Z return mod(*inputs) 2025-09-07T08:01:15.0806434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0806764Z x = self.forward_features(x) 2025-09-07T08:01:15.0807112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0807461Z x = self.blocks(x) 2025-09-07T08:01:15.0807784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0808123Z x = self.bn1(x) 2025-09-07T08:01:15.0808420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0808743Z x = self.act(x) 2025-09-07T08:01:15.0808838Z 2025-09-07T08:01:15.0808953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0809313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0809645Z return mod(*inputs) 2025-09-07T08:01:15.0809962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0810303Z x = self.forward_features(x) 2025-09-07T08:01:15.0810653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0811010Z x = self.blocks(x) 2025-09-07T08:01:15.0811331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0811675Z x = self.bn2(x) 2025-09-07T08:01:15.0811974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0812293Z x = self.act(x) 2025-09-07T08:01:15.0812387Z 2025-09-07T08:01:15.0812496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0812852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0813175Z return mod(*inputs) 2025-09-07T08:01:15.0813489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0813826Z x = self.forward_features(x) 2025-09-07T08:01:15.0814171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0814522Z x = self.blocks(x) 2025-09-07T08:01:15.0814852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0815197Z x = self.bn2(x) 2025-09-07T08:01:15.0815487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0815822Z x = self.act(x) 2025-09-07T08:01:15.0815923Z 2025-09-07T08:01:15.0816007Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0816255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0816610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0816923Z return mod(*inputs) 2025-09-07T08:01:15.0817240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0817578Z x = self.forward_features(x) 2025-09-07T08:01:15.0817928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0818270Z x = self.blocks(x) 2025-09-07T08:01:15.0818621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0818975Z x = self.se(x) 2025-09-07T08:01:15.0819313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:01:15.0819670Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:01:15.0819809Z 2025-09-07T08:01:15.0819915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0820269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0820591Z return mod(*inputs) 2025-09-07T08:01:15.0820904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0821236Z x = self.forward_features(x) 2025-09-07T08:01:15.0821585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0821937Z x = self.blocks(x) 2025-09-07T08:01:15.0822267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0822613Z x = self.se(x) 2025-09-07T08:01:15.0822926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.0823302Z x_se = self.act1(x_se) 2025-09-07T08:01:15.0823413Z 2025-09-07T08:01:15.0823525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0823882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0824197Z return mod(*inputs) 2025-09-07T08:01:15.0824510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0824851Z x = self.forward_features(x) 2025-09-07T08:01:15.0825206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0825560Z x = self.blocks(x) 2025-09-07T08:01:15.0825884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0826238Z x = self.se(x) 2025-09-07T08:01:15.0826558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.0826918Z x_se = self.act1(x_se) 2025-09-07T08:01:15.0827029Z 2025-09-07T08:01:15.0827135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0827496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0827822Z return mod(*inputs) 2025-09-07T08:01:15.0828137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0828477Z x = self.forward_features(x) 2025-09-07T08:01:15.0828827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0829179Z x = self.blocks(x) 2025-09-07T08:01:15.0829523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0829869Z x = self.se(x) 2025-09-07T08:01:15.0830179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0830535Z return x * self.gate(x_se) 2025-09-07T08:01:15.0830658Z 2025-09-07T08:01:15.0830761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0831119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0831439Z return mod(*inputs) 2025-09-07T08:01:15.0831747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0832105Z x = self.forward_features(x) 2025-09-07T08:01:15.0832479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0832831Z x = self.blocks(x) 2025-09-07T08:01:15.0833147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0833491Z x = self.se(x) 2025-09-07T08:01:15.0833808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0834160Z return x * self.gate(x_se) 2025-09-07T08:01:15.0834276Z 2025-09-07T08:01:15.0834387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0834737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0835057Z return mod(*inputs) 2025-09-07T08:01:15.0835371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0835713Z x = self.forward_features(x) 2025-09-07T08:01:15.0836056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0836410Z x = self.blocks(x) 2025-09-07T08:01:15.0836736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0837105Z x = self.se(x) 2025-09-07T08:01:15.0837426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0837775Z return x * self.gate(x_se) 2025-09-07T08:01:15.0837898Z 2025-09-07T08:01:15.0838003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0838363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0838688Z return mod(*inputs) 2025-09-07T08:01:15.0839001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0839344Z x = self.forward_features(x) 2025-09-07T08:01:15.0839699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0840053Z x = self.blocks(x) 2025-09-07T08:01:15.0840382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.0840745Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.0840884Z 2025-09-07T08:01:15.0840990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0841355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0841690Z return mod(*inputs) 2025-09-07T08:01:15.0842007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0842358Z x = self.forward_features(x) 2025-09-07T08:01:15.0842722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0843101Z x = self.blocks(x) 2025-09-07T08:01:15.0843432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.0843782Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.0843919Z 2025-09-07T08:01:15.0844024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0844378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0844699Z return mod(*inputs) 2025-09-07T08:01:15.0845006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0845352Z x = self.forward_features(x) 2025-09-07T08:01:15.0845700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0846104Z x = self.blocks(x) 2025-09-07T08:01:15.0846443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0846782Z x = self.bn1(x) 2025-09-07T08:01:15.0847083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0847401Z x = self.act(x) 2025-09-07T08:01:15.0847495Z 2025-09-07T08:01:15.0847607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0847954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0848278Z return mod(*inputs) 2025-09-07T08:01:15.0848591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0848931Z x = self.forward_features(x) 2025-09-07T08:01:15.0849284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0849633Z x = self.blocks(x) 2025-09-07T08:01:15.0849965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0850320Z x = self.bn1(x) 2025-09-07T08:01:15.0850619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0850930Z x = self.act(x) 2025-09-07T08:01:15.0851030Z 2025-09-07T08:01:15.0851136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0851488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0851807Z return mod(*inputs) 2025-09-07T08:01:15.0852123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0852456Z x = self.forward_features(x) 2025-09-07T08:01:15.0852805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0853156Z x = self.blocks(x) 2025-09-07T08:01:15.0853485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0853825Z x = self.bn2(x) 2025-09-07T08:01:15.0854126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0854438Z x = self.act(x) 2025-09-07T08:01:15.0854530Z 2025-09-07T08:01:15.0854637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0854980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0855285Z return mod(*inputs) 2025-09-07T08:01:15.0855590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0855924Z x = self.forward_features(x) 2025-09-07T08:01:15.0856295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0856636Z x = self.blocks(x) 2025-09-07T08:01:15.0856959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0857304Z x = self.bn2(x) 2025-09-07T08:01:15.0857592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0857903Z x = self.act(x) 2025-09-07T08:01:15.0857994Z 2025-09-07T08:01:15.0858076Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0858312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0858658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0858973Z return mod(*inputs) 2025-09-07T08:01:15.0859294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0859639Z x = self.forward_features(x) 2025-09-07T08:01:15.0859988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0860335Z x = self.blocks(x) 2025-09-07T08:01:15.0860649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0860987Z x = self.se(x) 2025-09-07T08:01:15.0861297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:01:15.0861649Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:01:15.0861779Z 2025-09-07T08:01:15.0861886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0862230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0862549Z return mod(*inputs) 2025-09-07T08:01:15.0862861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0863196Z x = self.forward_features(x) 2025-09-07T08:01:15.0863534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0863892Z x = self.blocks(x) 2025-09-07T08:01:15.0864211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0864547Z x = self.se(x) 2025-09-07T08:01:15.0864856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.0865190Z x_se = self.act1(x_se) 2025-09-07T08:01:15.0865308Z 2025-09-07T08:01:15.0865410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0865758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0866071Z return mod(*inputs) 2025-09-07T08:01:15.0866372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0866700Z x = self.forward_features(x) 2025-09-07T08:01:15.0867042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0867385Z x = self.blocks(x) 2025-09-07T08:01:15.0867709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0868036Z x = self.se(x) 2025-09-07T08:01:15.0868351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.0868690Z x_se = self.act1(x_se) 2025-09-07T08:01:15.0868797Z 2025-09-07T08:01:15.0868907Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0869252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0869557Z return mod(*inputs) 2025-09-07T08:01:15.0869881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0870215Z x = self.forward_features(x) 2025-09-07T08:01:15.0870559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0870894Z x = self.blocks(x) 2025-09-07T08:01:15.0871213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0871548Z x = self.se(x) 2025-09-07T08:01:15.0871857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0872193Z return x * self.gate(x_se) 2025-09-07T08:01:15.0872333Z 2025-09-07T08:01:15.0872435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0872802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0873125Z return mod(*inputs) 2025-09-07T08:01:15.0873434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0873758Z x = self.forward_features(x) 2025-09-07T08:01:15.0874103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0874446Z x = self.blocks(x) 2025-09-07T08:01:15.0874762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0875091Z x = self.se(x) 2025-09-07T08:01:15.0875397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0875738Z return x * self.gate(x_se) 2025-09-07T08:01:15.0875851Z 2025-09-07T08:01:15.0875958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0876309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0876615Z return mod(*inputs) 2025-09-07T08:01:15.0876946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0877278Z x = self.forward_features(x) 2025-09-07T08:01:15.0877623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0877967Z x = self.blocks(x) 2025-09-07T08:01:15.0878280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0878619Z x = self.se(x) 2025-09-07T08:01:15.0878935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0879280Z return x * self.gate(x_se) 2025-09-07T08:01:15.0879395Z 2025-09-07T08:01:15.0879479Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0879722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0880073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0880390Z return mod(*inputs) 2025-09-07T08:01:15.0880696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0881028Z x = self.forward_features(x) 2025-09-07T08:01:15.0881370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0881767Z x = self.blocks(x) 2025-09-07T08:01:15.0882093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0882432Z x = self.bn1(x) 2025-09-07T08:01:15.0882731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0883087Z x = self.act(x) 2025-09-07T08:01:15.0883182Z 2025-09-07T08:01:15.0883294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0883638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0883954Z return mod(*inputs) 2025-09-07T08:01:15.0884270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0884604Z x = self.forward_features(x) 2025-09-07T08:01:15.0884951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0885290Z x = self.blocks(x) 2025-09-07T08:01:15.0885615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0885984Z x = self.bn1(x) 2025-09-07T08:01:15.0886303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0886606Z x = self.act(x) 2025-09-07T08:01:15.0886707Z 2025-09-07T08:01:15.0886808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0887158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0887471Z return mod(*inputs) 2025-09-07T08:01:15.0887780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0888102Z x = self.forward_features(x) 2025-09-07T08:01:15.0888442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0888784Z x = self.blocks(x) 2025-09-07T08:01:15.0889104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0889433Z x = self.bn2(x) 2025-09-07T08:01:15.0889723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0890032Z x = self.act(x) 2025-09-07T08:01:15.0890147Z 2025-09-07T08:01:15.0890259Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0890608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0890922Z return mod(*inputs) 2025-09-07T08:01:15.0891234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0891569Z x = self.forward_features(x) 2025-09-07T08:01:15.0891919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0892265Z x = self.blocks(x) 2025-09-07T08:01:15.0892594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0892939Z x = self.bn2(x) 2025-09-07T08:01:15.0893237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0893557Z x = self.act(x) 2025-09-07T08:01:15.0893649Z 2025-09-07T08:01:15.0893735Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0893980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0894332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0894651Z return mod(*inputs) 2025-09-07T08:01:15.0894959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0895297Z x = self.forward_features(x) 2025-09-07T08:01:15.0895649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0896005Z x = self.blocks(x) 2025-09-07T08:01:15.0896347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0896679Z x = self.se(x) 2025-09-07T08:01:15.0896992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:01:15.0897344Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:01:15.0897472Z 2025-09-07T08:01:15.0897582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0897921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0898239Z return mod(*inputs) 2025-09-07T08:01:15.0898547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0898878Z x = self.forward_features(x) 2025-09-07T08:01:15.0899241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0899590Z x = self.blocks(x) 2025-09-07T08:01:15.0899918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0900259Z x = self.se(x) 2025-09-07T08:01:15.0900568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.0900902Z x_se = self.act1(x_se) 2025-09-07T08:01:15.0901020Z 2025-09-07T08:01:15.0901122Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0901472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0901784Z return mod(*inputs) 2025-09-07T08:01:15.0902094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0902420Z x = self.forward_features(x) 2025-09-07T08:01:15.0902766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0903111Z x = self.blocks(x) 2025-09-07T08:01:15.0903432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0903788Z x = self.se(x) 2025-09-07T08:01:15.0904098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.0904439Z x_se = self.act1(x_se) 2025-09-07T08:01:15.0904547Z 2025-09-07T08:01:15.0904656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0905002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0905303Z return mod(*inputs) 2025-09-07T08:01:15.0905613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0905942Z x = self.forward_features(x) 2025-09-07T08:01:15.0906282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0906617Z x = self.blocks(x) 2025-09-07T08:01:15.0906937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0907275Z x = self.se(x) 2025-09-07T08:01:15.0907587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0907933Z return x * self.gate(x_se) 2025-09-07T08:01:15.0908046Z 2025-09-07T08:01:15.0908147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0908494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0908806Z return mod(*inputs) 2025-09-07T08:01:15.0909114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0909434Z x = self.forward_features(x) 2025-09-07T08:01:15.0909793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0910136Z x = self.blocks(x) 2025-09-07T08:01:15.0910454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0910792Z x = self.se(x) 2025-09-07T08:01:15.0911096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0911440Z return x * self.gate(x_se) 2025-09-07T08:01:15.0911559Z 2025-09-07T08:01:15.0911662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0912009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0912334Z return mod(*inputs) 2025-09-07T08:01:15.0912662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0913003Z x = self.forward_features(x) 2025-09-07T08:01:15.0913348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0913696Z x = self.blocks(x) 2025-09-07T08:01:15.0914008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0914347Z x = self.se(x) 2025-09-07T08:01:15.0914660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.0915007Z return x * self.gate(x_se) 2025-09-07T08:01:15.0915121Z 2025-09-07T08:01:15.0915203Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0915443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0915795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0916116Z return mod(*inputs) 2025-09-07T08:01:15.0916430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0916768Z x = self.forward_features(x) 2025-09-07T08:01:15.0917113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0917454Z x = self.blocks(x) 2025-09-07T08:01:15.0917772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0918101Z x = self.bn1(x) 2025-09-07T08:01:15.0918389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0918700Z x = self.act(x) 2025-09-07T08:01:15.0918791Z 2025-09-07T08:01:15.0918901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0919251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0919554Z return mod(*inputs) 2025-09-07T08:01:15.0919862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0920192Z x = self.forward_features(x) 2025-09-07T08:01:15.0920531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0920864Z x = self.blocks(x) 2025-09-07T08:01:15.0921180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0921516Z x = self.bn1(x) 2025-09-07T08:01:15.0921804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0922111Z x = self.act(x) 2025-09-07T08:01:15.0922203Z 2025-09-07T08:01:15.0922304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0922651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0922978Z return mod(*inputs) 2025-09-07T08:01:15.0923292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0923620Z x = self.forward_features(x) 2025-09-07T08:01:15.0923971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0924324Z x = self.blocks(x) 2025-09-07T08:01:15.0924651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0924995Z x = self.bn2(x) 2025-09-07T08:01:15.0925279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0925609Z x = self.act(x) 2025-09-07T08:01:15.0925701Z 2025-09-07T08:01:15.0925809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0926176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0926485Z return mod(*inputs) 2025-09-07T08:01:15.0926802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0927132Z x = self.forward_features(x) 2025-09-07T08:01:15.0927474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0927815Z x = self.blocks(x) 2025-09-07T08:01:15.0928128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0928462Z x = self.bn2(x) 2025-09-07T08:01:15.0928752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0929063Z x = self.act(x) 2025-09-07T08:01:15.0929154Z 2025-09-07T08:01:15.0929258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0929609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0929921Z return mod(*inputs) 2025-09-07T08:01:15.0930245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0930566Z x = self.forward_features(x) 2025-09-07T08:01:15.0930911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0931258Z x = self.blocks(x) 2025-09-07T08:01:15.0931581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.0931937Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.0932062Z 2025-09-07T08:01:15.0932165Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0932514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0932830Z return mod(*inputs) 2025-09-07T08:01:15.0933139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0933468Z x = self.forward_features(x) 2025-09-07T08:01:15.0933806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0934150Z x = self.blocks(x) 2025-09-07T08:01:15.0934471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.0934825Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.0934947Z 2025-09-07T08:01:15.0935048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0935398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0935715Z return mod(*inputs) 2025-09-07T08:01:15.0936039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0936367Z x = self.forward_features(x) 2025-09-07T08:01:15.0936702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0937044Z x = self.blocks(x) 2025-09-07T08:01:15.0937362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0937696Z x = self.bn1(x) 2025-09-07T08:01:15.0937978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0938287Z x = self.act(x) 2025-09-07T08:01:15.0938385Z 2025-09-07T08:01:15.0938487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0938856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0939181Z return mod(*inputs) 2025-09-07T08:01:15.0939486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0939817Z x = self.forward_features(x) 2025-09-07T08:01:15.0940165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0940509Z x = self.blocks(x) 2025-09-07T08:01:15.0940822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0941162Z x = self.bn1(x) 2025-09-07T08:01:15.0941451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0941760Z x = self.act(x) 2025-09-07T08:01:15.0941848Z 2025-09-07T08:01:15.0942102Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0942444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0942759Z return mod(*inputs) 2025-09-07T08:01:15.0943067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0943423Z x = self.forward_features(x) 2025-09-07T08:01:15.0943756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0944106Z x = self.blocks(x) 2025-09-07T08:01:15.0944431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0944771Z x = self.bn2(x) 2025-09-07T08:01:15.0945058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0945361Z x = self.act(x) 2025-09-07T08:01:15.0945459Z 2025-09-07T08:01:15.0945560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0945912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0946225Z return mod(*inputs) 2025-09-07T08:01:15.0946526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0946859Z x = self.forward_features(x) 2025-09-07T08:01:15.0947201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0947542Z x = self.blocks(x) 2025-09-07T08:01:15.0947859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0948186Z x = self.bn2(x) 2025-09-07T08:01:15.0948473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0948783Z x = self.act(x) 2025-09-07T08:01:15.0948874Z 2025-09-07T08:01:15.0948964Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0949193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0949552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0949867Z return mod(*inputs) 2025-09-07T08:01:15.0950174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0950498Z x = self.forward_features(x) 2025-09-07T08:01:15.0950844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0951185Z x = self.blocks(x) 2025-09-07T08:01:15.0951558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0951889Z x = self.bn1(x) 2025-09-07T08:01:15.0952164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0952481Z x = self.act(x) 2025-09-07T08:01:15.0952600Z 2025-09-07T08:01:15.0952703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0953045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0953359Z return mod(*inputs) 2025-09-07T08:01:15.0953667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0953998Z x = self.forward_features(x) 2025-09-07T08:01:15.0954343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0954683Z x = self.blocks(x) 2025-09-07T08:01:15.0954996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0955334Z x = self.bn1(x) 2025-09-07T08:01:15.0955622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0955932Z x = self.act(x) 2025-09-07T08:01:15.0956022Z 2025-09-07T08:01:15.0956127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0956477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0956814Z return mod(*inputs) 2025-09-07T08:01:15.0957120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0957453Z x = self.forward_features(x) 2025-09-07T08:01:15.0957792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0958135Z x = self.blocks(x) 2025-09-07T08:01:15.0958460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0958800Z x = self.bn2(x) 2025-09-07T08:01:15.0959082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0959395Z x = self.act(x) 2025-09-07T08:01:15.0959494Z 2025-09-07T08:01:15.0959596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0959949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0960259Z return mod(*inputs) 2025-09-07T08:01:15.0960559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0960893Z x = self.forward_features(x) 2025-09-07T08:01:15.0961240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0961584Z x = self.blocks(x) 2025-09-07T08:01:15.0961897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0962235Z x = self.bn2(x) 2025-09-07T08:01:15.0962538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0962854Z x = self.act(x) 2025-09-07T08:01:15.0962942Z 2025-09-07T08:01:15.0963032Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0963266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0963611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0963923Z return mod(*inputs) 2025-09-07T08:01:15.0964230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0964555Z x = self.forward_features(x) 2025-09-07T08:01:15.0964898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0965260Z x = self.blocks(x) 2025-09-07T08:01:15.0965579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0965934Z x = self.bn1(x) 2025-09-07T08:01:15.0966218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0966530Z x = self.act(x) 2025-09-07T08:01:15.0966620Z 2025-09-07T08:01:15.0966730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0967079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0967386Z return mod(*inputs) 2025-09-07T08:01:15.0967696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0968028Z x = self.forward_features(x) 2025-09-07T08:01:15.0968368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0968717Z x = self.blocks(x) 2025-09-07T08:01:15.0969032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0969372Z x = self.bn1(x) 2025-09-07T08:01:15.0969661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0969990Z x = self.act(x) 2025-09-07T08:01:15.0970081Z 2025-09-07T08:01:15.0970185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0970533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0970850Z return mod(*inputs) 2025-09-07T08:01:15.0971155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0971484Z x = self.forward_features(x) 2025-09-07T08:01:15.0971822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0972164Z x = self.blocks(x) 2025-09-07T08:01:15.0972491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0972836Z x = self.bn2(x) 2025-09-07T08:01:15.0973113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0973425Z x = self.act(x) 2025-09-07T08:01:15.0973522Z 2025-09-07T08:01:15.0973625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0973975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0974288Z return mod(*inputs) 2025-09-07T08:01:15.0974585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0974918Z x = self.forward_features(x) 2025-09-07T08:01:15.0975262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0975607Z x = self.blocks(x) 2025-09-07T08:01:15.0975936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0976273Z x = self.bn2(x) 2025-09-07T08:01:15.0976564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0976875Z x = self.act(x) 2025-09-07T08:01:15.0976964Z 2025-09-07T08:01:15.0977046Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0977284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0977632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0977943Z return mod(*inputs) 2025-09-07T08:01:15.0978249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0978593Z x = self.forward_features(x) 2025-09-07T08:01:15.0978961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0979304Z x = self.blocks(x) 2025-09-07T08:01:15.0979624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0979952Z x = self.bn1(x) 2025-09-07T08:01:15.0980242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0980554Z x = self.act(x) 2025-09-07T08:01:15.0980644Z 2025-09-07T08:01:15.0980754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0981099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0981404Z return mod(*inputs) 2025-09-07T08:01:15.0981757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0982090Z x = self.forward_features(x) 2025-09-07T08:01:15.0982443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0982785Z x = self.blocks(x) 2025-09-07T08:01:15.0983148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.0983483Z x = self.bn1(x) 2025-09-07T08:01:15.0983773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0984091Z x = self.act(x) 2025-09-07T08:01:15.0984182Z 2025-09-07T08:01:15.0984286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0984638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0984960Z return mod(*inputs) 2025-09-07T08:01:15.0985279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0985604Z x = self.forward_features(x) 2025-09-07T08:01:15.0985955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0986299Z x = self.blocks(x) 2025-09-07T08:01:15.0986620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0986957Z x = self.bn2(x) 2025-09-07T08:01:15.0987250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0987557Z x = self.act(x) 2025-09-07T08:01:15.0987651Z 2025-09-07T08:01:15.0987751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0988090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0988387Z return mod(*inputs) 2025-09-07T08:01:15.0988688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0989013Z x = self.forward_features(x) 2025-09-07T08:01:15.0989375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0989714Z x = self.blocks(x) 2025-09-07T08:01:15.0990026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.0990358Z x = self.bn2(x) 2025-09-07T08:01:15.0990644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.0990952Z x = self.act(x) 2025-09-07T08:01:15.0991042Z 2025-09-07T08:01:15.0991122Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.0991359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0991700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0992034Z return mod(*inputs) 2025-09-07T08:01:15.0992357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0992671Z x = self.forward_features(x) 2025-09-07T08:01:15.0993006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0993342Z x = self.blocks(x) 2025-09-07T08:01:15.0993656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0993978Z x = self.se(x) 2025-09-07T08:01:15.0994282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:01:15.0994622Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:01:15.0994744Z 2025-09-07T08:01:15.0994854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0995195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0995499Z return mod(*inputs) 2025-09-07T08:01:15.0995801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0996136Z x = self.forward_features(x) 2025-09-07T08:01:15.0996471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.0996796Z x = self.blocks(x) 2025-09-07T08:01:15.0997105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.0997437Z x = self.se(x) 2025-09-07T08:01:15.0997746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.0998078Z x_se = self.act1(x_se) 2025-09-07T08:01:15.0998190Z 2025-09-07T08:01:15.0998289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.0998633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.0998943Z return mod(*inputs) 2025-09-07T08:01:15.0999242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.0999558Z x = self.forward_features(x) 2025-09-07T08:01:15.0999892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1000221Z x = self.blocks(x) 2025-09-07T08:01:15.1000534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1000867Z x = self.se(x) 2025-09-07T08:01:15.1001166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1001508Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1001615Z 2025-09-07T08:01:15.1001721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1002082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1002387Z return mod(*inputs) 2025-09-07T08:01:15.1002695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1003022Z x = self.forward_features(x) 2025-09-07T08:01:15.1003359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1003692Z x = self.blocks(x) 2025-09-07T08:01:15.1003998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1004324Z x = self.se(x) 2025-09-07T08:01:15.1004626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1004993Z return x * self.gate(x_se) 2025-09-07T08:01:15.1005108Z 2025-09-07T08:01:15.1005223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1005567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1005873Z return mod(*inputs) 2025-09-07T08:01:15.1006175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1006499Z x = self.forward_features(x) 2025-09-07T08:01:15.1006824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1007161Z x = self.blocks(x) 2025-09-07T08:01:15.1007476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1007802Z x = self.se(x) 2025-09-07T08:01:15.1008105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1008449Z return x * self.gate(x_se) 2025-09-07T08:01:15.1008567Z 2025-09-07T08:01:15.1008668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1009009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1009330Z return mod(*inputs) 2025-09-07T08:01:15.1009619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1009941Z x = self.forward_features(x) 2025-09-07T08:01:15.1010274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1010605Z x = self.blocks(x) 2025-09-07T08:01:15.1010910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1011239Z x = self.se(x) 2025-09-07T08:01:15.1011544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1011883Z return x * self.gate(x_se) 2025-09-07T08:01:15.1011992Z 2025-09-07T08:01:15.1012100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1012434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1012741Z return mod(*inputs) 2025-09-07T08:01:15.1013041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1013365Z x = self.forward_features(x) 2025-09-07T08:01:15.1013692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1014028Z x = self.blocks(x) 2025-09-07T08:01:15.1014342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.1014681Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.1014802Z 2025-09-07T08:01:15.1014925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1015266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1015577Z return mod(*inputs) 2025-09-07T08:01:15.1015878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1016203Z x = self.forward_features(x) 2025-09-07T08:01:15.1016529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1016869Z x = self.blocks(x) 2025-09-07T08:01:15.1017178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.1017516Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.1017655Z 2025-09-07T08:01:15.1017762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1018106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1018415Z return mod(*inputs) 2025-09-07T08:01:15.1018715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1019038Z x = self.forward_features(x) 2025-09-07T08:01:15.1019366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1019702Z x = self.blocks(x) 2025-09-07T08:01:15.1020012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.1020342Z x = self.bn1(x) 2025-09-07T08:01:15.1020625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1020928Z x = self.act(x) 2025-09-07T08:01:15.1021023Z 2025-09-07T08:01:15.1021125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1021469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1021775Z return mod(*inputs) 2025-09-07T08:01:15.1022083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1022403Z x = self.forward_features(x) 2025-09-07T08:01:15.1022739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1023073Z x = self.blocks(x) 2025-09-07T08:01:15.1023386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.1023710Z x = self.bn1(x) 2025-09-07T08:01:15.1023994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1024299Z x = self.act(x) 2025-09-07T08:01:15.1024388Z 2025-09-07T08:01:15.1024500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1024835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1025146Z return mod(*inputs) 2025-09-07T08:01:15.1025444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1025766Z x = self.forward_features(x) 2025-09-07T08:01:15.1026104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1026433Z x = self.blocks(x) 2025-09-07T08:01:15.1026748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.1027080Z x = self.bn2(x) 2025-09-07T08:01:15.1027368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1027661Z x = self.act(x) 2025-09-07T08:01:15.1027757Z 2025-09-07T08:01:15.1027875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1028225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1028533Z return mod(*inputs) 2025-09-07T08:01:15.1028834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1029148Z x = self.forward_features(x) 2025-09-07T08:01:15.1029483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1029821Z x = self.blocks(x) 2025-09-07T08:01:15.1030134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.1030472Z x = self.bn2(x) 2025-09-07T08:01:15.1030754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1031074Z x = self.act(x) 2025-09-07T08:01:15.1031165Z 2025-09-07T08:01:15.1031256Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1031489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1031821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1032126Z return mod(*inputs) 2025-09-07T08:01:15.1032424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1032743Z x = self.forward_features(x) 2025-09-07T08:01:15.1033070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1033403Z x = self.blocks(x) 2025-09-07T08:01:15.1033711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1034041Z x = self.se(x) 2025-09-07T08:01:15.1034337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:01:15.1034674Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:01:15.1034821Z 2025-09-07T08:01:15.1034920Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1035257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1035562Z return mod(*inputs) 2025-09-07T08:01:15.1035856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1036178Z x = self.forward_features(x) 2025-09-07T08:01:15.1036512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1036848Z x = self.blocks(x) 2025-09-07T08:01:15.1037161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1037483Z x = self.se(x) 2025-09-07T08:01:15.1037789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1038126Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1038233Z 2025-09-07T08:01:15.1038342Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1038673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1038982Z return mod(*inputs) 2025-09-07T08:01:15.1039285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1039609Z x = self.forward_features(x) 2025-09-07T08:01:15.1039945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1040272Z x = self.blocks(x) 2025-09-07T08:01:15.1040586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1040929Z x = self.se(x) 2025-09-07T08:01:15.1041246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1041575Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1041691Z 2025-09-07T08:01:15.1041794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1042135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1042443Z return mod(*inputs) 2025-09-07T08:01:15.1042744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1043059Z x = self.forward_features(x) 2025-09-07T08:01:15.1043393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1044043Z x = self.blocks(x) 2025-09-07T08:01:15.1044385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1044712Z x = self.se(x) 2025-09-07T08:01:15.1045028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1045372Z return x * self.gate(x_se) 2025-09-07T08:01:15.1045488Z 2025-09-07T08:01:15.1045598Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1045944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1046252Z return mod(*inputs) 2025-09-07T08:01:15.1046560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1046887Z x = self.forward_features(x) 2025-09-07T08:01:15.1047234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1047566Z x = self.blocks(x) 2025-09-07T08:01:15.1047889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1048235Z x = self.se(x) 2025-09-07T08:01:15.1048539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1048874Z return x * self.gate(x_se) 2025-09-07T08:01:15.1048983Z 2025-09-07T08:01:15.1049082Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1049423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1049724Z return mod(*inputs) 2025-09-07T08:01:15.1050026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1050343Z x = self.forward_features(x) 2025-09-07T08:01:15.1050676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1051011Z x = self.blocks(x) 2025-09-07T08:01:15.1072886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1073268Z x = self.se(x) 2025-09-07T08:01:15.1073594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1073941Z return x * self.gate(x_se) 2025-09-07T08:01:15.1074068Z 2025-09-07T08:01:15.1074158Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1074410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1074773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1075095Z return mod(*inputs) 2025-09-07T08:01:15.1075416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1075761Z x = self.forward_features(x) 2025-09-07T08:01:15.1076170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1076525Z x = self.blocks(x) 2025-09-07T08:01:15.1076849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.1077188Z x = self.bn1(x) 2025-09-07T08:01:15.1077485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1077794Z x = self.act(x) 2025-09-07T08:01:15.1077887Z 2025-09-07T08:01:15.1078000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1078345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1078692Z return mod(*inputs) 2025-09-07T08:01:15.1079040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1079369Z x = self.forward_features(x) 2025-09-07T08:01:15.1079703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1080048Z x = self.blocks(x) 2025-09-07T08:01:15.1080364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.1080696Z x = self.bn1(x) 2025-09-07T08:01:15.1080981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1081273Z x = self.act(x) 2025-09-07T08:01:15.1081372Z 2025-09-07T08:01:15.1081477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1081880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1082204Z return mod(*inputs) 2025-09-07T08:01:15.1082521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1082850Z x = self.forward_features(x) 2025-09-07T08:01:15.1083193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1083632Z x = self.blocks(x) 2025-09-07T08:01:15.1083954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.1084286Z x = self.bn2(x) 2025-09-07T08:01:15.1084582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1084874Z x = self.act(x) 2025-09-07T08:01:15.1084967Z 2025-09-07T08:01:15.1085069Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1085418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1085742Z return mod(*inputs) 2025-09-07T08:01:15.1086062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1086388Z x = self.forward_features(x) 2025-09-07T08:01:15.1086739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1087081Z x = self.blocks(x) 2025-09-07T08:01:15.1087399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.1087725Z x = self.bn2(x) 2025-09-07T08:01:15.1088011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1088318Z x = self.act(x) 2025-09-07T08:01:15.1088406Z 2025-09-07T08:01:15.1088498Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1088736Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1089081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1089421Z return mod(*inputs) 2025-09-07T08:01:15.1089733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1090071Z x = self.forward_features(x) 2025-09-07T08:01:15.1090405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1090749Z x = self.blocks(x) 2025-09-07T08:01:15.1091070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1091406Z x = self.se(x) 2025-09-07T08:01:15.1091715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:01:15.1092088Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:01:15.1092226Z 2025-09-07T08:01:15.1092329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1092697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1093008Z return mod(*inputs) 2025-09-07T08:01:15.1093311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1093640Z x = self.forward_features(x) 2025-09-07T08:01:15.1093983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1094324Z x = self.blocks(x) 2025-09-07T08:01:15.1094643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1094971Z x = self.se(x) 2025-09-07T08:01:15.1095281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1095626Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1095738Z 2025-09-07T08:01:15.1095861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1096192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1096517Z return mod(*inputs) 2025-09-07T08:01:15.1096821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1097146Z x = self.forward_features(x) 2025-09-07T08:01:15.1097481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1097812Z x = self.blocks(x) 2025-09-07T08:01:15.1098128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1098457Z x = self.se(x) 2025-09-07T08:01:15.1098769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1099097Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1099211Z 2025-09-07T08:01:15.1099312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1099654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1099965Z return mod(*inputs) 2025-09-07T08:01:15.1100263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1100580Z x = self.forward_features(x) 2025-09-07T08:01:15.1100917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1101251Z x = self.blocks(x) 2025-09-07T08:01:15.1101561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1101880Z x = self.se(x) 2025-09-07T08:01:15.1102185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1102544Z return x * self.gate(x_se) 2025-09-07T08:01:15.1102658Z 2025-09-07T08:01:15.1102766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1103106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1103400Z return mod(*inputs) 2025-09-07T08:01:15.1103696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1104016Z x = self.forward_features(x) 2025-09-07T08:01:15.1104345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1104666Z x = self.blocks(x) 2025-09-07T08:01:15.1104972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1105319Z x = self.se(x) 2025-09-07T08:01:15.1105637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1105974Z return x * self.gate(x_se) 2025-09-07T08:01:15.1106084Z 2025-09-07T08:01:15.1106184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1106525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1106830Z return mod(*inputs) 2025-09-07T08:01:15.1107129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1107441Z x = self.forward_features(x) 2025-09-07T08:01:15.1107772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1108106Z x = self.blocks(x) 2025-09-07T08:01:15.1108420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1108750Z x = self.se(x) 2025-09-07T08:01:15.1109047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1109403Z return x * self.gate(x_se) 2025-09-07T08:01:15.1109524Z 2025-09-07T08:01:15.1109626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1109971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1110275Z return mod(*inputs) 2025-09-07T08:01:15.1110584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1110916Z x = self.forward_features(x) 2025-09-07T08:01:15.1111257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1111602Z x = self.blocks(x) 2025-09-07T08:01:15.1111916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.1112273Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.1112411Z 2025-09-07T08:01:15.1112516Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1112868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1113177Z return mod(*inputs) 2025-09-07T08:01:15.1113482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1113809Z x = self.forward_features(x) 2025-09-07T08:01:15.1114151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1114491Z x = self.blocks(x) 2025-09-07T08:01:15.1114800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:01:15.1115151Z x = self.drop_path(x) + shortcut 2025-09-07T08:01:15.1115284Z 2025-09-07T08:01:15.1115405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1115749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1116051Z return mod(*inputs) 2025-09-07T08:01:15.1116345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1116667Z x = self.forward_features(x) 2025-09-07T08:01:15.1117002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1117334Z x = self.blocks(x) 2025-09-07T08:01:15.1117635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.1117962Z x = self.bn1(x) 2025-09-07T08:01:15.1118264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1118584Z x = self.act(x) 2025-09-07T08:01:15.1118675Z 2025-09-07T08:01:15.1118785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1119119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1119428Z return mod(*inputs) 2025-09-07T08:01:15.1119730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1120053Z x = self.forward_features(x) 2025-09-07T08:01:15.1120381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1120719Z x = self.blocks(x) 2025-09-07T08:01:15.1121028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.1121362Z x = self.bn1(x) 2025-09-07T08:01:15.1121636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1121938Z x = self.act(x) 2025-09-07T08:01:15.1122034Z 2025-09-07T08:01:15.1122132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1122488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1122791Z return mod(*inputs) 2025-09-07T08:01:15.1123079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1123399Z x = self.forward_features(x) 2025-09-07T08:01:15.1123730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1124059Z x = self.blocks(x) 2025-09-07T08:01:15.1124363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.1124695Z x = self.bn2(x) 2025-09-07T08:01:15.1124977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1125279Z x = self.act(x) 2025-09-07T08:01:15.1125366Z 2025-09-07T08:01:15.1125476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1125811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1126114Z return mod(*inputs) 2025-09-07T08:01:15.1126418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1126738Z x = self.forward_features(x) 2025-09-07T08:01:15.1127063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1127397Z x = self.blocks(x) 2025-09-07T08:01:15.1127710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.1128043Z x = self.bn2(x) 2025-09-07T08:01:15.1128339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1128644Z x = self.act(x) 2025-09-07T08:01:15.1128736Z 2025-09-07T08:01:15.1128829Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1129061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1129406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1129719Z return mod(*inputs) 2025-09-07T08:01:15.1130027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1130355Z x = self.forward_features(x) 2025-09-07T08:01:15.1130690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1131058Z x = self.blocks(x) 2025-09-07T08:01:15.1131391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1131724Z x = self.se(x) 2025-09-07T08:01:15.1132023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:01:15.1132370Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:01:15.1132506Z 2025-09-07T08:01:15.1132605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1132950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1133260Z return mod(*inputs) 2025-09-07T08:01:15.1133557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1133887Z x = self.forward_features(x) 2025-09-07T08:01:15.1134226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1134567Z x = self.blocks(x) 2025-09-07T08:01:15.1134876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1135209Z x = self.se(x) 2025-09-07T08:01:15.1135534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1135870Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1135976Z 2025-09-07T08:01:15.1136085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1136413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1136724Z return mod(*inputs) 2025-09-07T08:01:15.1137025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1137353Z x = self.forward_features(x) 2025-09-07T08:01:15.1137685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1138024Z x = self.blocks(x) 2025-09-07T08:01:15.1138336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1138668Z x = self.se(x) 2025-09-07T08:01:15.1138875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1138952Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1138956Z 2025-09-07T08:01:15.1139054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1139238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1139311Z return mod(*inputs) 2025-09-07T08:01:15.1139507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1139588Z x = self.forward_features(x) 2025-09-07T08:01:15.1139804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1139884Z x = self.blocks(x) 2025-09-07T08:01:15.1140104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1140165Z x = self.se(x) 2025-09-07T08:01:15.1140386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1140455Z return x * self.gate(x_se) 2025-09-07T08:01:15.1140458Z 2025-09-07T08:01:15.1140565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1140752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1140818Z return mod(*inputs) 2025-09-07T08:01:15.1141024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1141126Z x = self.forward_features(x) 2025-09-07T08:01:15.1141367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1141429Z x = self.blocks(x) 2025-09-07T08:01:15.1141640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1141707Z x = self.se(x) 2025-09-07T08:01:15.1141913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1141987Z return x * self.gate(x_se) 2025-09-07T08:01:15.1141990Z 2025-09-07T08:01:15.1142088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1142274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1142344Z return mod(*inputs) 2025-09-07T08:01:15.1142540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1142619Z x = self.forward_features(x) 2025-09-07T08:01:15.1142838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1142914Z x = self.blocks(x) 2025-09-07T08:01:15.1143130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1143189Z x = self.se(x) 2025-09-07T08:01:15.1143402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1143468Z return x * self.gate(x_se) 2025-09-07T08:01:15.1143471Z 2025-09-07T08:01:15.1143558Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1143659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1143846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1143922Z return mod(*inputs) 2025-09-07T08:01:15.1144121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1144200Z x = self.forward_features(x) 2025-09-07T08:01:15.1144416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1144480Z x = self.blocks(x) 2025-09-07T08:01:15.1144700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.1144761Z x = self.bn1(x) 2025-09-07T08:01:15.1144959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1145020Z x = self.act(x) 2025-09-07T08:01:15.1145023Z 2025-09-07T08:01:15.1145122Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1145318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1145383Z return mod(*inputs) 2025-09-07T08:01:15.1145599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1145669Z x = self.forward_features(x) 2025-09-07T08:01:15.1145882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1145952Z x = self.blocks(x) 2025-09-07T08:01:15.1146169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:01:15.1146239Z x = self.bn1(x) 2025-09-07T08:01:15.1146432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1146496Z x = self.act(x) 2025-09-07T08:01:15.1146507Z 2025-09-07T08:01:15.1146625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1146826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1146903Z return mod(*inputs) 2025-09-07T08:01:15.1147098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1147176Z x = self.forward_features(x) 2025-09-07T08:01:15.1147395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1147456Z x = self.blocks(x) 2025-09-07T08:01:15.1147676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.1147737Z x = self.bn2(x) 2025-09-07T08:01:15.1147936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1147997Z x = self.act(x) 2025-09-07T08:01:15.1148002Z 2025-09-07T08:01:15.1148100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1148295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1148359Z return mod(*inputs) 2025-09-07T08:01:15.1148562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1148861Z x = self.forward_features(x) 2025-09-07T08:01:15.1149078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1149150Z x = self.blocks(x) 2025-09-07T08:01:15.1149363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:01:15.1149433Z x = self.bn2(x) 2025-09-07T08:01:15.1149621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1149686Z x = self.act(x) 2025-09-07T08:01:15.1149697Z 2025-09-07T08:01:15.1149778Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1149879Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1150077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1150146Z return mod(*inputs) 2025-09-07T08:01:15.1150353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1150421Z x = self.forward_features(x) 2025-09-07T08:01:15.1150636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1150711Z x = self.blocks(x) 2025-09-07T08:01:15.1150926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1150996Z x = self.se(x) 2025-09-07T08:01:15.1151209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:01:15.1151285Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:01:15.1151288Z 2025-09-07T08:01:15.1151412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1151597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1151673Z return mod(*inputs) 2025-09-07T08:01:15.1151869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1151936Z x = self.forward_features(x) 2025-09-07T08:01:15.1152158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1152221Z x = self.blocks(x) 2025-09-07T08:01:15.1152439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1152515Z x = self.se(x) 2025-09-07T08:01:15.1152740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1152815Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1152818Z 2025-09-07T08:01:15.1152917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1153112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1153175Z return mod(*inputs) 2025-09-07T08:01:15.1153376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1153445Z x = self.forward_features(x) 2025-09-07T08:01:15.1153656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1153729Z x = self.blocks(x) 2025-09-07T08:01:15.1153939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1154007Z x = self.se(x) 2025-09-07T08:01:15.1154219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:01:15.1154287Z x_se = self.act1(x_se) 2025-09-07T08:01:15.1154290Z 2025-09-07T08:01:15.1154413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1154599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1154672Z return mod(*inputs) 2025-09-07T08:01:15.1154869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1154938Z x = self.forward_features(x) 2025-09-07T08:01:15.1155158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1155218Z x = self.blocks(x) 2025-09-07T08:01:15.1155438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1155499Z x = self.se(x) 2025-09-07T08:01:15.1155708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1155785Z return x * self.gate(x_se) 2025-09-07T08:01:15.1155789Z 2025-09-07T08:01:15.1155886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1156074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1156139Z return mod(*inputs) 2025-09-07T08:01:15.1156338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1156406Z x = self.forward_features(x) 2025-09-07T08:01:15.1156620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1156694Z x = self.blocks(x) 2025-09-07T08:01:15.1156906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1157004Z x = self.se(x) 2025-09-07T08:01:15.1157210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1157278Z return x * self.gate(x_se) 2025-09-07T08:01:15.1157281Z 2025-09-07T08:01:15.1157387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1157568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1157639Z return mod(*inputs) 2025-09-07T08:01:15.1157830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1157898Z x = self.forward_features(x) 2025-09-07T08:01:15.1158118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1158198Z x = self.blocks(x) 2025-09-07T08:01:15.1158434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:01:15.1158496Z x = self.se(x) 2025-09-07T08:01:15.1158705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:01:15.1158786Z return x * self.gate(x_se) 2025-09-07T08:01:15.1158789Z 2025-09-07T08:01:15.1158867Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1158973Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1159160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1159230Z return mod(*inputs) 2025-09-07T08:01:15.1159423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1159494Z x = self.forward_features(x) 2025-09-07T08:01:15.1159718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1159783Z x = self.blocks(x) 2025-09-07T08:01:15.1160002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 112, in forward 2025-09-07T08:01:15.1160078Z x = self.bn1(x) 2025-09-07T08:01:15.1160270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1160339Z x = self.act(x) 2025-09-07T08:01:15.1160342Z 2025-09-07T08:01:15.1160440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1160637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1160701Z return mod(*inputs) 2025-09-07T08:01:15.1160901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 271, in forward 2025-09-07T08:01:15.1160978Z x = self.forward_features(x) 2025-09-07T08:01:15.1161199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features 2025-09-07T08:01:15.1161270Z x = self.blocks(x) 2025-09-07T08:01:15.1161485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 112, in forward 2025-09-07T08:01:15.1161549Z x = self.bn1(x) 2025-09-07T08:01:15.1161747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:15.1161809Z x = self.act(x) 2025-09-07T08:01:15.1161812Z 2025-09-07T08:01:15.1161902Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1161999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1162196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1162262Z return mod(*inputs) 2025-09-07T08:01:15.1162462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 272, in forward 2025-09-07T08:01:15.1162542Z x = self.forward_head(x) 2025-09-07T08:01:15.1162773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 259, in forward_head 2025-09-07T08:01:15.1162852Z x = self.global_pool(x) 2025-09-07T08:01:15.1163066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:01:15.1163129Z x = self.pool(x) 2025-09-07T08:01:15.1163132Z 2025-09-07T08:01:15.1163240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1163421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1163492Z return mod(*inputs) 2025-09-07T08:01:15.1163685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 272, in forward 2025-09-07T08:01:15.1163769Z x = self.forward_head(x) 2025-09-07T08:01:15.1164002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 262, in forward_head 2025-09-07T08:01:15.1164065Z x = self.act2(x) 2025-09-07T08:01:15.1164068Z 2025-09-07T08:01:15.1164174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:15.1164360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:15.1164422Z return mod(*inputs) 2025-09-07T08:01:15.1164624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 272, in forward 2025-09-07T08:01:15.1164693Z x = self.forward_head(x) 2025-09-07T08:01:15.1164904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilenetv3.py", line 262, in forward_head 2025-09-07T08:01:15.1164965Z x = self.act2(x) 2025-09-07T08:01:15.1164968Z 2025-09-07T08:01:15.1165054Z cudagraph partition due to non gpu ops 2025-09-07T08:01:15.1165132Z cudagraph partition due to non gpu ops 2025-09-07T08:01:27.4625229Z pass 2025-09-07T08:01:27.4625730Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:29.6017875Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:01:29.6019164Z import pynvml # type: ignore[import] 2025-09-07T08:01:31.7742250Z 2025-09-07T08:01:32.1478703Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:01:32.1479025Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:01:32.1479284Z cpu eval mobilevit_s 2025-09-07T08:01:32.7578807Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:32.8426016Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:32.9267533Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:51.5548235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5548680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5549052Z return mod(*inputs) 2025-09-07T08:01:51.5549394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5549730Z x = self.forward_features(x) 2025-09-07T08:01:51.5550063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1421, in forward_features 2025-09-07T08:01:51.5550398Z x = self.stem(x) 2025-09-07T08:01:51.5550703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5551024Z x = self.conv(x) 2025-09-07T08:01:51.5551119Z 2025-09-07T08:01:51.5551233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5551978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5552308Z return mod(*inputs) 2025-09-07T08:01:51.5552620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5552950Z x = self.forward_features(x) 2025-09-07T08:01:51.5553280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1421, in forward_features 2025-09-07T08:01:51.5553608Z x = self.stem(x) 2025-09-07T08:01:51.5553900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5554206Z x = self.bn(x) 2025-09-07T08:01:51.5554490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5554859Z x = self.act(x) 2025-09-07T08:01:51.5554962Z 2025-09-07T08:01:51.5555119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5555483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5555798Z return mod(*inputs) 2025-09-07T08:01:51.5556090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5556406Z x = self.forward_features(x) 2025-09-07T08:01:51.5556736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1421, in forward_features 2025-09-07T08:01:51.5557060Z x = self.stem(x) 2025-09-07T08:01:51.5557352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5557656Z x = self.bn(x) 2025-09-07T08:01:51.5557945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5558265Z x = self.act(x) 2025-09-07T08:01:51.5558360Z 2025-09-07T08:01:51.5558471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5558813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5559191Z return mod(*inputs) 2025-09-07T08:01:51.5559488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5559805Z x = self.forward_features(x) 2025-09-07T08:01:51.5560132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5560453Z x = self.stages(x) 2025-09-07T08:01:51.5560752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5561066Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5561375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5561680Z x = self.bn(x) 2025-09-07T08:01:51.5561966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5562264Z x = self.act(x) 2025-09-07T08:01:51.5562357Z 2025-09-07T08:01:51.5562469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5562806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5563105Z return mod(*inputs) 2025-09-07T08:01:51.5563398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5563721Z x = self.forward_features(x) 2025-09-07T08:01:51.5564050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5564373Z x = self.stages(x) 2025-09-07T08:01:51.5564665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5564974Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5566219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5566548Z x = self.bn(x) 2025-09-07T08:01:51.5566831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5567131Z x = self.act(x) 2025-09-07T08:01:51.5567220Z 2025-09-07T08:01:51.5567328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5567662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5567956Z return mod(*inputs) 2025-09-07T08:01:51.5568247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5568556Z x = self.forward_features(x) 2025-09-07T08:01:51.5568910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5569260Z x = self.stages(x) 2025-09-07T08:01:51.5569548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5569860Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5570163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5570468Z x = self.bn(x) 2025-09-07T08:01:51.5570741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5571039Z x = self.act(x) 2025-09-07T08:01:51.5571138Z 2025-09-07T08:01:51.5571242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5571586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5571887Z return mod(*inputs) 2025-09-07T08:01:51.5572179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5572500Z x = self.forward_features(x) 2025-09-07T08:01:51.5572827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5573182Z x = self.stages(x) 2025-09-07T08:01:51.5573463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5573770Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5574076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5574387Z x = self.bn(x) 2025-09-07T08:01:51.5574658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5574960Z x = self.act(x) 2025-09-07T08:01:51.5575058Z 2025-09-07T08:01:51.5575160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5575502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5575805Z return mod(*inputs) 2025-09-07T08:01:51.5576090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5576406Z x = self.forward_features(x) 2025-09-07T08:01:51.5576736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5577067Z x = self.stages(x) 2025-09-07T08:01:51.5577346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 344, in forward 2025-09-07T08:01:51.5577652Z x = self.conv3_1x1(x) 2025-09-07T08:01:51.5577953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5578262Z x = self.conv(x) 2025-09-07T08:01:51.5578357Z 2025-09-07T08:01:51.5578462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5578812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5579119Z return mod(*inputs) 2025-09-07T08:01:51.5579410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5579722Z x = self.forward_features(x) 2025-09-07T08:01:51.5580035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5580365Z x = self.stages(x) 2025-09-07T08:01:51.5580651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 344, in forward 2025-09-07T08:01:51.5580955Z x = self.conv3_1x1(x) 2025-09-07T08:01:51.5581249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5581564Z x = self.conv(x) 2025-09-07T08:01:51.5581751Z 2025-09-07T08:01:51.5581853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5582244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5582554Z return mod(*inputs) 2025-09-07T08:01:51.5582839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5583154Z x = self.forward_features(x) 2025-09-07T08:01:51.5583482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5583811Z x = self.stages(x) 2025-09-07T08:01:51.5584088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5584393Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5584694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5585005Z x = self.bn(x) 2025-09-07T08:01:51.5585292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5585587Z x = self.act(x) 2025-09-07T08:01:51.5585686Z 2025-09-07T08:01:51.5585788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5586158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5586466Z return mod(*inputs) 2025-09-07T08:01:51.5586749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5587063Z x = self.forward_features(x) 2025-09-07T08:01:51.5587387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5587713Z x = self.stages(x) 2025-09-07T08:01:51.5587996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5588292Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5588592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5588902Z x = self.bn(x) 2025-09-07T08:01:51.5589185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5589478Z x = self.act(x) 2025-09-07T08:01:51.5589579Z 2025-09-07T08:01:51.5589679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5590022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5590330Z return mod(*inputs) 2025-09-07T08:01:51.5590622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5590927Z x = self.forward_features(x) 2025-09-07T08:01:51.5591272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5591603Z x = self.stages(x) 2025-09-07T08:01:51.5591910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5592217Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5592517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5592829Z x = self.bn(x) 2025-09-07T08:01:51.5593103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5593404Z x = self.act(x) 2025-09-07T08:01:51.5593501Z 2025-09-07T08:01:51.5593602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5593948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5594253Z return mod(*inputs) 2025-09-07T08:01:51.5594538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5594880Z x = self.forward_features(x) 2025-09-07T08:01:51.5595240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5595571Z x = self.stages(x) 2025-09-07T08:01:51.5595854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5596160Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5596458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5596765Z x = self.bn(x) 2025-09-07T08:01:51.5597035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5597340Z x = self.act(x) 2025-09-07T08:01:51.5597434Z 2025-09-07T08:01:51.5597536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5597876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5598184Z return mod(*inputs) 2025-09-07T08:01:51.5598468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5598776Z x = self.forward_features(x) 2025-09-07T08:01:51.5599114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5599436Z x = self.stages(x) 2025-09-07T08:01:51.5599713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 348, in forward 2025-09-07T08:01:51.5600025Z x = x + self.shortcut(shortcut) 2025-09-07T08:01:51.5600156Z 2025-09-07T08:01:51.5600256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5600595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5600903Z return mod(*inputs) 2025-09-07T08:01:51.5601185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5601503Z x = self.forward_features(x) 2025-09-07T08:01:51.5601831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5602163Z x = self.stages(x) 2025-09-07T08:01:51.5602455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 348, in forward 2025-09-07T08:01:51.5602782Z x = x + self.shortcut(shortcut) 2025-09-07T08:01:51.5602915Z 2025-09-07T08:01:51.5603017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5603372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5603687Z return mod(*inputs) 2025-09-07T08:01:51.5603979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5604305Z x = self.forward_features(x) 2025-09-07T08:01:51.5604655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5604994Z x = self.stages(x) 2025-09-07T08:01:51.5605281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5605638Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5605937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5606248Z x = self.bn(x) 2025-09-07T08:01:51.5606528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5606821Z x = self.act(x) 2025-09-07T08:01:51.5606921Z 2025-09-07T08:01:51.5607021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5607362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5607688Z return mod(*inputs) 2025-09-07T08:01:51.5607990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5608309Z x = self.forward_features(x) 2025-09-07T08:01:51.5608639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5608970Z x = self.stages(x) 2025-09-07T08:01:51.5609255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5609552Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5609850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5610157Z x = self.bn(x) 2025-09-07T08:01:51.5610440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5610736Z x = self.act(x) 2025-09-07T08:01:51.5610832Z 2025-09-07T08:01:51.5610932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5611275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5611580Z return mod(*inputs) 2025-09-07T08:01:51.5611885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5612184Z x = self.forward_features(x) 2025-09-07T08:01:51.5612508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5612836Z x = self.stages(x) 2025-09-07T08:01:51.5613117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5613411Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5613710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5614017Z x = self.bn(x) 2025-09-07T08:01:51.5614296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5614599Z x = self.act(x) 2025-09-07T08:01:51.5614689Z 2025-09-07T08:01:51.5614788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5615129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5615432Z return mod(*inputs) 2025-09-07T08:01:51.5615721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5616023Z x = self.forward_features(x) 2025-09-07T08:01:51.5616351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5616679Z x = self.stages(x) 2025-09-07T08:01:51.5616967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5617266Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5617583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5617894Z x = self.bn(x) 2025-09-07T08:01:51.5618181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5618492Z x = self.act(x) 2025-09-07T08:01:51.5618584Z 2025-09-07T08:01:51.5618669Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5618915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5619261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5619573Z return mod(*inputs) 2025-09-07T08:01:51.5619863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5620186Z x = self.forward_features(x) 2025-09-07T08:01:51.5620528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5620874Z x = self.stages(x) 2025-09-07T08:01:51.5621167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5621469Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5621770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5622076Z x = self.bn(x) 2025-09-07T08:01:51.5622356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5622649Z x = self.act(x) 2025-09-07T08:01:51.5622748Z 2025-09-07T08:01:51.5622846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5623186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5623494Z return mod(*inputs) 2025-09-07T08:01:51.5623782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5624092Z x = self.forward_features(x) 2025-09-07T08:01:51.5624424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5624772Z x = self.stages(x) 2025-09-07T08:01:51.5625059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5625354Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5625654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5625959Z x = self.bn(x) 2025-09-07T08:01:51.5626235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5626525Z x = self.act(x) 2025-09-07T08:01:51.5626621Z 2025-09-07T08:01:51.5626722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5627062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5627374Z return mod(*inputs) 2025-09-07T08:01:51.5627665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5627973Z x = self.forward_features(x) 2025-09-07T08:01:51.5628302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5628628Z x = self.stages(x) 2025-09-07T08:01:51.5628912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5629212Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5629511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5629819Z x = self.bn(x) 2025-09-07T08:01:51.5630104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5630407Z x = self.act(x) 2025-09-07T08:01:51.5630497Z 2025-09-07T08:01:51.5630612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5630958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5631272Z return mod(*inputs) 2025-09-07T08:01:51.5631565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5631873Z x = self.forward_features(x) 2025-09-07T08:01:51.5632201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5632527Z x = self.stages(x) 2025-09-07T08:01:51.5632817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5633139Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5633426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5633747Z x = self.bn(x) 2025-09-07T08:01:51.5634028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5634330Z x = self.act(x) 2025-09-07T08:01:51.5634420Z 2025-09-07T08:01:51.5634501Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5634736Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5635078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5635386Z return mod(*inputs) 2025-09-07T08:01:51.5635678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5635982Z x = self.forward_features(x) 2025-09-07T08:01:51.5636309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5636639Z x = self.stages(x) 2025-09-07T08:01:51.5636927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5637223Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5637525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5637850Z x = self.bn(x) 2025-09-07T08:01:51.5638132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5638426Z x = self.act(x) 2025-09-07T08:01:51.5638526Z 2025-09-07T08:01:51.5638626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5638972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5639276Z return mod(*inputs) 2025-09-07T08:01:51.5639567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5639870Z x = self.forward_features(x) 2025-09-07T08:01:51.5640199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5640524Z x = self.stages(x) 2025-09-07T08:01:51.5640814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5641109Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5641404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5641711Z x = self.bn(x) 2025-09-07T08:01:51.5641991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5642323Z x = self.act(x) 2025-09-07T08:01:51.5642412Z 2025-09-07T08:01:51.5642514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5642857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5643165Z return mod(*inputs) 2025-09-07T08:01:51.5643472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5643778Z x = self.forward_features(x) 2025-09-07T08:01:51.5644102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5644431Z x = self.stages(x) 2025-09-07T08:01:51.5644717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5645021Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5645313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5645620Z x = self.bn(x) 2025-09-07T08:01:51.5645903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5646237Z x = self.act(x) 2025-09-07T08:01:51.5646340Z 2025-09-07T08:01:51.5646457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5646801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5647108Z return mod(*inputs) 2025-09-07T08:01:51.5647398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5647711Z x = self.forward_features(x) 2025-09-07T08:01:51.5648028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5648356Z x = self.stages(x) 2025-09-07T08:01:51.5648640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5648945Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5649234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5649539Z x = self.bn(x) 2025-09-07T08:01:51.5649819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5650120Z x = self.act(x) 2025-09-07T08:01:51.5650211Z 2025-09-07T08:01:51.5650339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5650670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5650981Z return mod(*inputs) 2025-09-07T08:01:51.5651277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5651589Z x = self.forward_features(x) 2025-09-07T08:01:51.5651904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5652230Z x = self.stages(x) 2025-09-07T08:01:51.5652514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 344, in forward 2025-09-07T08:01:51.5652820Z x = self.conv3_1x1(x) 2025-09-07T08:01:51.5653117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5653427Z x = self.conv(x) 2025-09-07T08:01:51.5653529Z 2025-09-07T08:01:51.5653628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5653970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5654274Z return mod(*inputs) 2025-09-07T08:01:51.5654556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5654869Z x = self.forward_features(x) 2025-09-07T08:01:51.5655194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5655523Z x = self.stages(x) 2025-09-07T08:01:51.5655803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 344, in forward 2025-09-07T08:01:51.5656108Z x = self.conv3_1x1(x) 2025-09-07T08:01:51.5656426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5656739Z x = self.conv(x) 2025-09-07T08:01:51.5656834Z 2025-09-07T08:01:51.5656942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5657276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5657583Z return mod(*inputs) 2025-09-07T08:01:51.5657874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5658184Z x = self.forward_features(x) 2025-09-07T08:01:51.5658500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5658843Z x = self.stages(x) 2025-09-07T08:01:51.5659161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 233, in forward 2025-09-07T08:01:51.5659476Z x = self.conv_kxk(x) 2025-09-07T08:01:51.5659778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5660079Z x = self.bn(x) 2025-09-07T08:01:51.5660359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5660659Z x = self.act(x) 2025-09-07T08:01:51.5660750Z 2025-09-07T08:01:51.5660856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5661191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5661496Z return mod(*inputs) 2025-09-07T08:01:51.5661786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5662096Z x = self.forward_features(x) 2025-09-07T08:01:51.5662421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5662740Z x = self.stages(x) 2025-09-07T08:01:51.5663035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 233, in forward 2025-09-07T08:01:51.5663361Z x = self.conv_kxk(x) 2025-09-07T08:01:51.5663659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5663960Z x = self.bn(x) 2025-09-07T08:01:51.5664240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5664540Z x = self.act(x) 2025-09-07T08:01:51.5664628Z 2025-09-07T08:01:51.5664735Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5665071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5665373Z return mod(*inputs) 2025-09-07T08:01:51.5665664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5665975Z x = self.forward_features(x) 2025-09-07T08:01:51.5666296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5666618Z x = self.stages(x) 2025-09-07T08:01:51.5666908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 234, in forward 2025-09-07T08:01:51.5667214Z x = self.conv_1x1(x) 2025-09-07T08:01:51.5667315Z 2025-09-07T08:01:51.5667422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5667756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5668053Z return mod(*inputs) 2025-09-07T08:01:51.5668339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5668651Z x = self.forward_features(x) 2025-09-07T08:01:51.5668990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5669308Z x = self.stages(x) 2025-09-07T08:01:51.5669601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 234, in forward 2025-09-07T08:01:51.5669908Z x = self.conv_1x1(x) 2025-09-07T08:01:51.5670010Z 2025-09-07T08:01:51.5670101Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5670306Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5670515Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5670743Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5671087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5671395Z return mod(*inputs) 2025-09-07T08:01:51.5671700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5672028Z x = self.forward_features(x) 2025-09-07T08:01:51.5672362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5672691Z x = self.stages(x) 2025-09-07T08:01:51.5672977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5673298Z x = self.transformer(x) 2025-09-07T08:01:51.5673633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5674017Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5674391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5674731Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5674870Z 2025-09-07T08:01:51.5674971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5675315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5675622Z return mod(*inputs) 2025-09-07T08:01:51.5675910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5676238Z x = self.forward_features(x) 2025-09-07T08:01:51.5676565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5676896Z x = self.stages(x) 2025-09-07T08:01:51.5677190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 251, in forward 2025-09-07T08:01:51.5677635Z x = x.reshape(B, C, num_patches, self.patch_area).transpose(1, 3).reshape(B * self.patch_area, num_patches, -1) 2025-09-07T08:01:51.5677891Z 2025-09-07T08:01:51.5677974Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5678184Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5678394Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5678591Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5678795Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5678998Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5679201Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5679395Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5679594Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5679826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5680166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5680473Z return mod(*inputs) 2025-09-07T08:01:51.5680759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5681074Z x = self.forward_features(x) 2025-09-07T08:01:51.5681403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5681808Z x = self.stages(x) 2025-09-07T08:01:51.5682097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5682416Z x = self.transformer(x) 2025-09-07T08:01:51.5682742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5683117Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5683486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5683819Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5684079Z 2025-09-07T08:01:51.5684159Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5684361Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5684592Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5684785Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5685013Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5685223Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5685460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5685797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5686110Z return mod(*inputs) 2025-09-07T08:01:51.5686407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5686725Z x = self.forward_features(x) 2025-09-07T08:01:51.5687055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5687376Z x = self.stages(x) 2025-09-07T08:01:51.5687671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 262, in forward 2025-09-07T08:01:51.5688061Z x = x.transpose(1, 2).reshape(B, C, num_patch_h * patch_h, num_patch_w * patch_w) 2025-09-07T08:01:51.5688253Z 2025-09-07T08:01:51.5688340Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5688568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5688921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5689224Z return mod(*inputs) 2025-09-07T08:01:51.5689517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5689830Z x = self.forward_features(x) 2025-09-07T08:01:51.5690148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5690473Z x = self.stages(x) 2025-09-07T08:01:51.5690765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 266, in forward 2025-09-07T08:01:51.5691078Z x = self.conv_proj(x) 2025-09-07T08:01:51.5691373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5691684Z x = self.bn(x) 2025-09-07T08:01:51.5691967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5692271Z x = self.act(x) 2025-09-07T08:01:51.5692363Z 2025-09-07T08:01:51.5692471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5692799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5693104Z return mod(*inputs) 2025-09-07T08:01:51.5693395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5693703Z x = self.forward_features(x) 2025-09-07T08:01:51.5694018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5694341Z x = self.stages(x) 2025-09-07T08:01:51.5694661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 266, in forward 2025-09-07T08:01:51.5694975Z x = self.conv_proj(x) 2025-09-07T08:01:51.5695279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5695580Z x = self.bn(x) 2025-09-07T08:01:51.5695860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5696160Z x = self.act(x) 2025-09-07T08:01:51.5696250Z 2025-09-07T08:01:51.5696339Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5696540Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5696767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5697106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5697430Z return mod(*inputs) 2025-09-07T08:01:51.5697729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5698047Z x = self.forward_features(x) 2025-09-07T08:01:51.5698380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5698710Z x = self.stages(x) 2025-09-07T08:01:51.5699003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5699342Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5699498Z 2025-09-07T08:01:51.5699600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5699942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5700249Z return mod(*inputs) 2025-09-07T08:01:51.5700547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5700864Z x = self.forward_features(x) 2025-09-07T08:01:51.5701195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5701525Z x = self.stages(x) 2025-09-07T08:01:51.5701831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5702166Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5702512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5702823Z x = self.bn(x) 2025-09-07T08:01:51.5703108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5703410Z x = self.act(x) 2025-09-07T08:01:51.5703501Z 2025-09-07T08:01:51.5703605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5703942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5704251Z return mod(*inputs) 2025-09-07T08:01:51.5704545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5704852Z x = self.forward_features(x) 2025-09-07T08:01:51.5705183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5705509Z x = self.stages(x) 2025-09-07T08:01:51.5705799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5706139Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5706472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5706778Z x = self.bn(x) 2025-09-07T08:01:51.5707059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5707358Z x = self.act(x) 2025-09-07T08:01:51.5707451Z 2025-09-07T08:01:51.5707569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5707909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5708217Z return mod(*inputs) 2025-09-07T08:01:51.5708509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5708819Z x = self.forward_features(x) 2025-09-07T08:01:51.5709138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5709462Z x = self.stages(x) 2025-09-07T08:01:51.5709746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5710069Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5710375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5710685Z x = self.bn(x) 2025-09-07T08:01:51.5710968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5711273Z x = self.act(x) 2025-09-07T08:01:51.5711364Z 2025-09-07T08:01:51.5711462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5711806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5712114Z return mod(*inputs) 2025-09-07T08:01:51.5712410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5712726Z x = self.forward_features(x) 2025-09-07T08:01:51.5713048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5713383Z x = self.stages(x) 2025-09-07T08:01:51.5713670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5713980Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5714276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5714629Z x = self.bn(x) 2025-09-07T08:01:51.5714908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5715209Z x = self.act(x) 2025-09-07T08:01:51.5715299Z 2025-09-07T08:01:51.5715405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5715736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5716040Z return mod(*inputs) 2025-09-07T08:01:51.5716328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5716644Z x = self.forward_features(x) 2025-09-07T08:01:51.5716964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5717295Z x = self.stages(x) 2025-09-07T08:01:51.5717583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5717894Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5718192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5718493Z x = self.bn(x) 2025-09-07T08:01:51.5718772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5719073Z x = self.act(x) 2025-09-07T08:01:51.5719161Z 2025-09-07T08:01:51.5719270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5719600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5719908Z return mod(*inputs) 2025-09-07T08:01:51.5720219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5720533Z x = self.forward_features(x) 2025-09-07T08:01:51.5720858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5721176Z x = self.stages(x) 2025-09-07T08:01:51.5721461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5721763Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5722054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5722350Z x = self.bn(x) 2025-09-07T08:01:51.5722631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5722946Z x = self.act(x) 2025-09-07T08:01:51.5723032Z 2025-09-07T08:01:51.5723139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5723483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5723793Z return mod(*inputs) 2025-09-07T08:01:51.5724085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5724398Z x = self.forward_features(x) 2025-09-07T08:01:51.5724724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5725041Z x = self.stages(x) 2025-09-07T08:01:51.5725326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 344, in forward 2025-09-07T08:01:51.5725629Z x = self.conv3_1x1(x) 2025-09-07T08:01:51.5725929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5726228Z x = self.conv(x) 2025-09-07T08:01:51.5726333Z 2025-09-07T08:01:51.5726437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5726783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5727090Z return mod(*inputs) 2025-09-07T08:01:51.5727400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5727715Z x = self.forward_features(x) 2025-09-07T08:01:51.5728048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5728378Z x = self.stages(x) 2025-09-07T08:01:51.5728669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 344, in forward 2025-09-07T08:01:51.5728970Z x = self.conv3_1x1(x) 2025-09-07T08:01:51.5729271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5729581Z x = self.conv(x) 2025-09-07T08:01:51.5729678Z 2025-09-07T08:01:51.5729788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5730140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5730440Z return mod(*inputs) 2025-09-07T08:01:51.5730731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5731043Z x = self.forward_features(x) 2025-09-07T08:01:51.5731370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5731690Z x = self.stages(x) 2025-09-07T08:01:51.5731980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 233, in forward 2025-09-07T08:01:51.5732293Z x = self.conv_kxk(x) 2025-09-07T08:01:51.5732590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5732904Z x = self.bn(x) 2025-09-07T08:01:51.5733194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5733499Z x = self.act(x) 2025-09-07T08:01:51.5733591Z 2025-09-07T08:01:51.5733700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5734037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5734331Z return mod(*inputs) 2025-09-07T08:01:51.5734618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5734931Z x = self.forward_features(x) 2025-09-07T08:01:51.5735255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5735578Z x = self.stages(x) 2025-09-07T08:01:51.5735873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 233, in forward 2025-09-07T08:01:51.5736198Z x = self.conv_kxk(x) 2025-09-07T08:01:51.5736499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5736803Z x = self.bn(x) 2025-09-07T08:01:51.5737076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5737374Z x = self.act(x) 2025-09-07T08:01:51.5737470Z 2025-09-07T08:01:51.5737570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5737908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5738208Z return mod(*inputs) 2025-09-07T08:01:51.5738491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5738802Z x = self.forward_features(x) 2025-09-07T08:01:51.5739130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5739458Z x = self.stages(x) 2025-09-07T08:01:51.5739744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 234, in forward 2025-09-07T08:01:51.5740081Z x = self.conv_1x1(x) 2025-09-07T08:01:51.5740191Z 2025-09-07T08:01:51.5740292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5740632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5740936Z return mod(*inputs) 2025-09-07T08:01:51.5741223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5741533Z x = self.forward_features(x) 2025-09-07T08:01:51.5741866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5742197Z x = self.stages(x) 2025-09-07T08:01:51.5742478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 234, in forward 2025-09-07T08:01:51.5742793Z x = self.conv_1x1(x) 2025-09-07T08:01:51.5742901Z 2025-09-07T08:01:51.5742982Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5743194Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5743395Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5743625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5743967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5744273Z return mod(*inputs) 2025-09-07T08:01:51.5744566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5744870Z x = self.forward_features(x) 2025-09-07T08:01:51.5745197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5745525Z x = self.stages(x) 2025-09-07T08:01:51.5745831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5746140Z x = self.transformer(x) 2025-09-07T08:01:51.5746474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5746856Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5747227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5747572Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5747701Z 2025-09-07T08:01:51.5747802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5748146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5748465Z return mod(*inputs) 2025-09-07T08:01:51.5748757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5749073Z x = self.forward_features(x) 2025-09-07T08:01:51.5749402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5749727Z x = self.stages(x) 2025-09-07T08:01:51.5750018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 251, in forward 2025-09-07T08:01:51.5750461Z x = x.reshape(B, C, num_patches, self.patch_area).transpose(1, 3).reshape(B * self.patch_area, num_patches, -1) 2025-09-07T08:01:51.5750704Z 2025-09-07T08:01:51.5750784Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5750994Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5751200Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5751402Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5751598Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5751800Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5752001Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5752202Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5752396Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5752646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5752992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5753302Z return mod(*inputs) 2025-09-07T08:01:51.5753599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5753909Z x = self.forward_features(x) 2025-09-07T08:01:51.5754240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5754573Z x = self.stages(x) 2025-09-07T08:01:51.5754869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5755181Z x = self.transformer(x) 2025-09-07T08:01:51.5755510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5755895Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5756272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5756617Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5756744Z 2025-09-07T08:01:51.5756820Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5757029Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5757237Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5757440Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5757634Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5757840Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5758048Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5758252Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5758448Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5758695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5759042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5759351Z return mod(*inputs) 2025-09-07T08:01:51.5759638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5759953Z x = self.forward_features(x) 2025-09-07T08:01:51.5760282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5760609Z x = self.stages(x) 2025-09-07T08:01:51.5760900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5761220Z x = self.transformer(x) 2025-09-07T08:01:51.5761564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5761938Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5762307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5762641Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5762772Z 2025-09-07T08:01:51.5762850Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5763051Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5763253Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5763452Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5763645Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5763846Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5764043Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5764244Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5764434Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5764667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5765012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5765318Z return mod(*inputs) 2025-09-07T08:01:51.5765620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5765935Z x = self.forward_features(x) 2025-09-07T08:01:51.5766263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5766589Z x = self.stages(x) 2025-09-07T08:01:51.5766873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5767188Z x = self.transformer(x) 2025-09-07T08:01:51.5767516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5767891Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5768267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5768601Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5768736Z 2025-09-07T08:01:51.5768813Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5769014Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5769213Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5769406Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5769607Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5769805Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5770032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5770373Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5770676Z return mod(*inputs) 2025-09-07T08:01:51.5770972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5771301Z x = self.forward_features(x) 2025-09-07T08:01:51.5771628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5771951Z x = self.stages(x) 2025-09-07T08:01:51.5772244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 262, in forward 2025-09-07T08:01:51.5772627Z x = x.transpose(1, 2).reshape(B, C, num_patch_h * patch_h, num_patch_w * patch_w) 2025-09-07T08:01:51.5772814Z 2025-09-07T08:01:51.5772901Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5773128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5773456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5773779Z return mod(*inputs) 2025-09-07T08:01:51.5774085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5774401Z x = self.forward_features(x) 2025-09-07T08:01:51.5774719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5775045Z x = self.stages(x) 2025-09-07T08:01:51.5775334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 266, in forward 2025-09-07T08:01:51.5775640Z x = self.conv_proj(x) 2025-09-07T08:01:51.5775934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5776240Z x = self.bn(x) 2025-09-07T08:01:51.5776521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5776825Z x = self.act(x) 2025-09-07T08:01:51.5776916Z 2025-09-07T08:01:51.5777024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5777359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5777664Z return mod(*inputs) 2025-09-07T08:01:51.5777958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5778282Z x = self.forward_features(x) 2025-09-07T08:01:51.5778603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5778932Z x = self.stages(x) 2025-09-07T08:01:51.5779221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 266, in forward 2025-09-07T08:01:51.5779538Z x = self.conv_proj(x) 2025-09-07T08:01:51.5779839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5780139Z x = self.bn(x) 2025-09-07T08:01:51.5780423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5780727Z x = self.act(x) 2025-09-07T08:01:51.5780819Z 2025-09-07T08:01:51.5780906Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5781107Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5781341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5781718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5782021Z return mod(*inputs) 2025-09-07T08:01:51.5782315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5782627Z x = self.forward_features(x) 2025-09-07T08:01:51.5782960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5783291Z x = self.stages(x) 2025-09-07T08:01:51.5783584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5783922Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5784118Z 2025-09-07T08:01:51.5784219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5784561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5784868Z return mod(*inputs) 2025-09-07T08:01:51.5785159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5785464Z x = self.forward_features(x) 2025-09-07T08:01:51.5785794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5786123Z x = self.stages(x) 2025-09-07T08:01:51.5786415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5786777Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5787157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5787466Z x = self.bn(x) 2025-09-07T08:01:51.5787747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5788052Z x = self.act(x) 2025-09-07T08:01:51.5788141Z 2025-09-07T08:01:51.5788242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5788581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5788886Z return mod(*inputs) 2025-09-07T08:01:51.5789181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5789484Z x = self.forward_features(x) 2025-09-07T08:01:51.5789807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5790136Z x = self.stages(x) 2025-09-07T08:01:51.5790430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5790765Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5791129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5791443Z x = self.bn(x) 2025-09-07T08:01:51.5791730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5792036Z x = self.act(x) 2025-09-07T08:01:51.5792130Z 2025-09-07T08:01:51.5792233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5792582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5792892Z return mod(*inputs) 2025-09-07T08:01:51.5793192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5793508Z x = self.forward_features(x) 2025-09-07T08:01:51.5793837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5794169Z x = self.stages(x) 2025-09-07T08:01:51.5794464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5794777Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5795077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5795393Z x = self.bn(x) 2025-09-07T08:01:51.5795683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5795994Z x = self.act(x) 2025-09-07T08:01:51.5796087Z 2025-09-07T08:01:51.5796199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5796541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5796856Z return mod(*inputs) 2025-09-07T08:01:51.5797169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5797482Z x = self.forward_features(x) 2025-09-07T08:01:51.5797800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5798125Z x = self.stages(x) 2025-09-07T08:01:51.5798412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 340, in forward 2025-09-07T08:01:51.5798721Z x = self.conv1_1x1(x) 2025-09-07T08:01:51.5799013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5799320Z x = self.bn(x) 2025-09-07T08:01:51.5799601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5799921Z x = self.act(x) 2025-09-07T08:01:51.5800013Z 2025-09-07T08:01:51.5800134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5800471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5800789Z return mod(*inputs) 2025-09-07T08:01:51.5801083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5801402Z x = self.forward_features(x) 2025-09-07T08:01:51.5801730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5802062Z x = self.stages(x) 2025-09-07T08:01:51.5802353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5802666Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5802970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5803276Z x = self.bn(x) 2025-09-07T08:01:51.5803566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5803873Z x = self.act(x) 2025-09-07T08:01:51.5803978Z 2025-09-07T08:01:51.5804085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5804416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5804721Z return mod(*inputs) 2025-09-07T08:01:51.5805015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5805324Z x = self.forward_features(x) 2025-09-07T08:01:51.5805650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5805970Z x = self.stages(x) 2025-09-07T08:01:51.5806259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 341, in forward 2025-09-07T08:01:51.5806571Z x = self.conv2_kxk(x) 2025-09-07T08:01:51.5806873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5807178Z x = self.bn(x) 2025-09-07T08:01:51.5807458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5807758Z x = self.act(x) 2025-09-07T08:01:51.5807847Z 2025-09-07T08:01:51.5807953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5808295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5808597Z return mod(*inputs) 2025-09-07T08:01:51.5808888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5809205Z x = self.forward_features(x) 2025-09-07T08:01:51.5809543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5809879Z x = self.stages(x) 2025-09-07T08:01:51.5810171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 344, in forward 2025-09-07T08:01:51.5810484Z x = self.conv3_1x1(x) 2025-09-07T08:01:51.5810787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5811090Z x = self.conv(x) 2025-09-07T08:01:51.5811193Z 2025-09-07T08:01:51.5811295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5811639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5811945Z return mod(*inputs) 2025-09-07T08:01:51.5812236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5812562Z x = self.forward_features(x) 2025-09-07T08:01:51.5812905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5813231Z x = self.stages(x) 2025-09-07T08:01:51.5813516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 344, in forward 2025-09-07T08:01:51.5813817Z x = self.conv3_1x1(x) 2025-09-07T08:01:51.5814114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:01:51.5814420Z x = self.conv(x) 2025-09-07T08:01:51.5814515Z 2025-09-07T08:01:51.5814623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5814965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5815260Z return mod(*inputs) 2025-09-07T08:01:51.5815549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5815855Z x = self.forward_features(x) 2025-09-07T08:01:51.5816187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5816506Z x = self.stages(x) 2025-09-07T08:01:51.5816798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 233, in forward 2025-09-07T08:01:51.5817124Z x = self.conv_kxk(x) 2025-09-07T08:01:51.5817427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5817734Z x = self.bn(x) 2025-09-07T08:01:51.5818009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5818312Z x = self.act(x) 2025-09-07T08:01:51.5818411Z 2025-09-07T08:01:51.5818511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5818848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5819147Z return mod(*inputs) 2025-09-07T08:01:51.5819442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5819753Z x = self.forward_features(x) 2025-09-07T08:01:51.5820083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5820408Z x = self.stages(x) 2025-09-07T08:01:51.5820690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 233, in forward 2025-09-07T08:01:51.5821000Z x = self.conv_kxk(x) 2025-09-07T08:01:51.5821301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5821605Z x = self.bn(x) 2025-09-07T08:01:51.5821879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5822185Z x = self.act(x) 2025-09-07T08:01:51.5822281Z 2025-09-07T08:01:51.5822382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5822739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5823051Z return mod(*inputs) 2025-09-07T08:01:51.5823338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5823648Z x = self.forward_features(x) 2025-09-07T08:01:51.5823979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5824305Z x = self.stages(x) 2025-09-07T08:01:51.5824597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 234, in forward 2025-09-07T08:01:51.5824913Z x = self.conv_1x1(x) 2025-09-07T08:01:51.5825029Z 2025-09-07T08:01:51.5825134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5825494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5825820Z return mod(*inputs) 2025-09-07T08:01:51.5826108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5826423Z x = self.forward_features(x) 2025-09-07T08:01:51.5826753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5827081Z x = self.stages(x) 2025-09-07T08:01:51.5827371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 234, in forward 2025-09-07T08:01:51.5827690Z x = self.conv_1x1(x) 2025-09-07T08:01:51.5827806Z 2025-09-07T08:01:51.5827889Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5828104Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5828322Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5828555Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5828910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5829222Z return mod(*inputs) 2025-09-07T08:01:51.5829583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5829918Z x = self.forward_features(x) 2025-09-07T08:01:51.5830237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5830565Z x = self.stages(x) 2025-09-07T08:01:51.5830857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5831171Z x = self.transformer(x) 2025-09-07T08:01:51.5831499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5831869Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5832236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5832581Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5832710Z 2025-09-07T08:01:51.5832816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5833149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5833454Z return mod(*inputs) 2025-09-07T08:01:51.5833744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5834056Z x = self.forward_features(x) 2025-09-07T08:01:51.5834382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5834705Z x = self.stages(x) 2025-09-07T08:01:51.5834998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 251, in forward 2025-09-07T08:01:51.5835442Z x = x.reshape(B, C, num_patches, self.patch_area).transpose(1, 3).reshape(B * self.patch_area, num_patches, -1) 2025-09-07T08:01:51.5835702Z 2025-09-07T08:01:51.5835790Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5836000Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5836200Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5836405Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5836611Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5836813Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5837013Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5837215Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5837419Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5837648Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5837980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5838316Z return mod(*inputs) 2025-09-07T08:01:51.5838626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5838939Z x = self.forward_features(x) 2025-09-07T08:01:51.5839261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5839591Z x = self.stages(x) 2025-09-07T08:01:51.5839883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5840192Z x = self.transformer(x) 2025-09-07T08:01:51.5840513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5840878Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5841242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5841583Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5841708Z 2025-09-07T08:01:51.5841794Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5841992Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5842191Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5842404Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5842605Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5842797Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5842999Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5843204Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5843405Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5843623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5843966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5844275Z return mod(*inputs) 2025-09-07T08:01:51.5844573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5844885Z x = self.forward_features(x) 2025-09-07T08:01:51.5845210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5845544Z x = self.stages(x) 2025-09-07T08:01:51.5845839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 254, in forward 2025-09-07T08:01:51.5846155Z x = self.transformer(x) 2025-09-07T08:01:51.5846473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:01:51.5846847Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:01:51.5847217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:01:51.5847559Z x = F.scaled_dot_product_attention( 2025-09-07T08:01:51.5847685Z 2025-09-07T08:01:51.5847769Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5847966Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5848189Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5848393Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5848594Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5848788Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5849011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5849354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5849663Z return mod(*inputs) 2025-09-07T08:01:51.5849948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5850262Z x = self.forward_features(x) 2025-09-07T08:01:51.5850589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5850932Z x = self.stages(x) 2025-09-07T08:01:51.5851248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 262, in forward 2025-09-07T08:01:51.5851626Z x = x.transpose(1, 2).reshape(B, C, num_patch_h * patch_h, num_patch_w * patch_w) 2025-09-07T08:01:51.5851824Z 2025-09-07T08:01:51.5851904Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5852133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5852473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5852770Z return mod(*inputs) 2025-09-07T08:01:51.5853063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5853378Z x = self.forward_features(x) 2025-09-07T08:01:51.5853704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5854030Z x = self.stages(x) 2025-09-07T08:01:51.5854314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 266, in forward 2025-09-07T08:01:51.5854625Z x = self.conv_proj(x) 2025-09-07T08:01:51.5854925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5855250Z x = self.bn(x) 2025-09-07T08:01:51.5855529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5855830Z x = self.act(x) 2025-09-07T08:01:51.5855930Z 2025-09-07T08:01:51.5856030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5856369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5856677Z return mod(*inputs) 2025-09-07T08:01:51.5856960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5857275Z x = self.forward_features(x) 2025-09-07T08:01:51.5857604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5857935Z x = self.stages(x) 2025-09-07T08:01:51.5858224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 266, in forward 2025-09-07T08:01:51.5858541Z x = self.conv_proj(x) 2025-09-07T08:01:51.5858844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5859154Z x = self.bn(x) 2025-09-07T08:01:51.5859438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5859746Z x = self.act(x) 2025-09-07T08:01:51.5859844Z 2025-09-07T08:01:51.5859923Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5860131Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5860362Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5860699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5861024Z return mod(*inputs) 2025-09-07T08:01:51.5861320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5861634Z x = self.forward_features(x) 2025-09-07T08:01:51.5861954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5862282Z x = self.stages(x) 2025-09-07T08:01:51.5862574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5862916Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5863062Z 2025-09-07T08:01:51.5863168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5863503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5863828Z return mod(*inputs) 2025-09-07T08:01:51.5864137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5864445Z x = self.forward_features(x) 2025-09-07T08:01:51.5864762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5865089Z x = self.stages(x) 2025-09-07T08:01:51.5865382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5865722Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5866058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5866358Z x = self.bn(x) 2025-09-07T08:01:51.5866640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5866941Z x = self.act(x) 2025-09-07T08:01:51.5867033Z 2025-09-07T08:01:51.5867140Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5867473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5867780Z return mod(*inputs) 2025-09-07T08:01:51.5868086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5868400Z x = self.forward_features(x) 2025-09-07T08:01:51.5868729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T08:01:51.5869047Z x = self.stages(x) 2025-09-07T08:01:51.5869336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/mobilevit.py", line 268, in forward 2025-09-07T08:01:51.5869674Z x = self.conv_fusion(torch.cat((shortcut, x), dim=1)) 2025-09-07T08:01:51.5870015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5870318Z x = self.bn(x) 2025-09-07T08:01:51.5870602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5870905Z x = self.act(x) 2025-09-07T08:01:51.5870996Z 2025-09-07T08:01:51.5871102Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5871445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5871743Z return mod(*inputs) 2025-09-07T08:01:51.5872033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5872346Z x = self.forward_features(x) 2025-09-07T08:01:51.5872675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1426, in forward_features 2025-09-07T08:01:51.5873001Z x = self.final_conv(x) 2025-09-07T08:01:51.5873308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5873616Z x = self.bn(x) 2025-09-07T08:01:51.5873916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5874216Z x = self.act(x) 2025-09-07T08:01:51.5874307Z 2025-09-07T08:01:51.5874405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5874744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5875050Z return mod(*inputs) 2025-09-07T08:01:51.5875342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T08:01:51.5875642Z x = self.forward_features(x) 2025-09-07T08:01:51.5875973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1426, in forward_features 2025-09-07T08:01:51.5876321Z x = self.final_conv(x) 2025-09-07T08:01:51.5876626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:01:51.5876950Z x = self.bn(x) 2025-09-07T08:01:51.5877227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:01:51.5877526Z x = self.act(x) 2025-09-07T08:01:51.5877616Z 2025-09-07T08:01:51.5877705Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5877935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:51.5878265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:01:51.5878570Z return mod(*inputs) 2025-09-07T08:01:51.5878853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1434, in forward 2025-09-07T08:01:51.5879160Z x = self.forward_head(x) 2025-09-07T08:01:51.5879470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/byobnet.py", line 1430, in forward_head 2025-09-07T08:01:51.5879862Z return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x) 2025-09-07T08:01:51.5880247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/classifier.py", line 128, in forward 2025-09-07T08:01:51.5880566Z x = self.global_pool(x) 2025-09-07T08:01:51.5880911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:01:51.5881244Z x = self.pool(x) 2025-09-07T08:01:51.5881352Z 2025-09-07T08:01:51.5881431Z cudagraph partition due to non gpu ops 2025-09-07T08:01:51.5881675Z cudagraph partition due to non gpu ops 2025-09-07T08:02:29.1871814Z pass 2025-09-07T08:02:29.1872260Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:31.3164183Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:02:31.3164967Z import pynvml # type: ignore[import] 2025-09-07T08:02:33.4967027Z 2025-09-07T08:02:34.1657270Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:02:34.1657647Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:02:34.1657910Z cpu eval nfnet_l0 2025-09-07T08:02:34.9122262Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:35.0170453Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:35.1194910Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:43.6389048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6389465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6389815Z return mod(*inputs) 2025-09-07T08:02:43.6390395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6390753Z x = self.forward_features(x) 2025-09-07T08:02:43.6391095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 440, in forward_features 2025-09-07T08:02:43.6391467Z x = self.stem(x) 2025-09-07T08:02:43.6391767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6392195Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6392425Z 2025-09-07T08:02:43.6392544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6392891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6393283Z return mod(*inputs) 2025-09-07T08:02:43.6393579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6393942Z x = self.forward_features(x) 2025-09-07T08:02:43.6394269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 440, in forward_features 2025-09-07T08:02:43.6394597Z x = self.stem(x) 2025-09-07T08:02:43.6394703Z 2025-09-07T08:02:43.6394806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6395150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6395459Z return mod(*inputs) 2025-09-07T08:02:43.6395738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6396043Z x = self.forward_features(x) 2025-09-07T08:02:43.6396380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 440, in forward_features 2025-09-07T08:02:43.6396708Z x = self.stem(x) 2025-09-07T08:02:43.6396803Z 2025-09-07T08:02:43.6396907Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6397252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6397564Z return mod(*inputs) 2025-09-07T08:02:43.6397918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6398227Z x = self.forward_features(x) 2025-09-07T08:02:43.6398546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 440, in forward_features 2025-09-07T08:02:43.6398880Z x = self.stem(x) 2025-09-07T08:02:43.6398987Z 2025-09-07T08:02:43.6399089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6399444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6399749Z return mod(*inputs) 2025-09-07T08:02:43.6400045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6400358Z x = self.forward_features(x) 2025-09-07T08:02:43.6400686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 440, in forward_features 2025-09-07T08:02:43.6401014Z x = self.stem(x) 2025-09-07T08:02:43.6401106Z 2025-09-07T08:02:43.6401208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6401560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6401873Z return mod(*inputs) 2025-09-07T08:02:43.6402173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6402472Z x = self.forward_features(x) 2025-09-07T08:02:43.6402795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 440, in forward_features 2025-09-07T08:02:43.6403118Z x = self.stem(x) 2025-09-07T08:02:43.6403212Z 2025-09-07T08:02:43.6403321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6403692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6404001Z return mod(*inputs) 2025-09-07T08:02:43.6404288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6404594Z x = self.forward_features(x) 2025-09-07T08:02:43.6404923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 440, in forward_features 2025-09-07T08:02:43.6405251Z x = self.stem(x) 2025-09-07T08:02:43.6405350Z 2025-09-07T08:02:43.6405450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6405796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6406136Z return mod(*inputs) 2025-09-07T08:02:43.6406442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6406802Z x = self.forward_features(x) 2025-09-07T08:02:43.6407134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6407472Z x = self.stages(x) 2025-09-07T08:02:43.6407767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6408077Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6408208Z 2025-09-07T08:02:43.6408311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6408660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6408973Z return mod(*inputs) 2025-09-07T08:02:43.6409265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6409569Z x = self.forward_features(x) 2025-09-07T08:02:43.6409903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6410237Z x = self.stages(x) 2025-09-07T08:02:43.6410737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6411103Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6411225Z 2025-09-07T08:02:43.6411323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6411668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6411982Z return mod(*inputs) 2025-09-07T08:02:43.6412273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6412592Z x = self.forward_features(x) 2025-09-07T08:02:43.6412917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6413253Z x = self.stages(x) 2025-09-07T08:02:43.6413544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6413875Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6414000Z 2025-09-07T08:02:43.6414103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6414462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6414779Z return mod(*inputs) 2025-09-07T08:02:43.6415077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6415402Z x = self.forward_features(x) 2025-09-07T08:02:43.6415728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6416069Z x = self.stages(x) 2025-09-07T08:02:43.6416359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6416687Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6416817Z 2025-09-07T08:02:43.6416951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6417298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6417626Z return mod(*inputs) 2025-09-07T08:02:43.6417920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6418241Z x = self.forward_features(x) 2025-09-07T08:02:43.6418567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6418902Z x = self.stages(x) 2025-09-07T08:02:43.6419200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6419525Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6419675Z 2025-09-07T08:02:43.6419785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6420188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6420507Z return mod(*inputs) 2025-09-07T08:02:43.6420816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6421140Z x = self.forward_features(x) 2025-09-07T08:02:43.6421471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6421810Z x = self.stages(x) 2025-09-07T08:02:43.6422103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6422432Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6422567Z 2025-09-07T08:02:43.6422679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6423029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6423353Z return mod(*inputs) 2025-09-07T08:02:43.6423660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6423979Z x = self.forward_features(x) 2025-09-07T08:02:43.6424323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6424664Z x = self.stages(x) 2025-09-07T08:02:43.6424951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6425277Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6425410Z 2025-09-07T08:02:43.6425519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6425864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6426184Z return mod(*inputs) 2025-09-07T08:02:43.6426480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6426800Z x = self.forward_features(x) 2025-09-07T08:02:43.6427129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6427470Z x = self.stages(x) 2025-09-07T08:02:43.6427767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6428090Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6428218Z 2025-09-07T08:02:43.6428326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6428670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6428988Z return mod(*inputs) 2025-09-07T08:02:43.6429282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6429601Z x = self.forward_features(x) 2025-09-07T08:02:43.6429929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6430275Z x = self.stages(x) 2025-09-07T08:02:43.6430580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6430909Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6431036Z 2025-09-07T08:02:43.6431142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6431502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6431823Z return mod(*inputs) 2025-09-07T08:02:43.6432118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6432439Z x = self.forward_features(x) 2025-09-07T08:02:43.6432768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6433128Z x = self.stages(x) 2025-09-07T08:02:43.6433443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6433770Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6434096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6434535Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6434773Z 2025-09-07T08:02:43.6434880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6435236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6435554Z return mod(*inputs) 2025-09-07T08:02:43.6435846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6436169Z x = self.forward_features(x) 2025-09-07T08:02:43.6436516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6436858Z x = self.stages(x) 2025-09-07T08:02:43.6437157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6437488Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6437818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6438244Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6438468Z 2025-09-07T08:02:43.6438562Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6438797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6439154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6439471Z return mod(*inputs) 2025-09-07T08:02:43.6439767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6440084Z x = self.forward_features(x) 2025-09-07T08:02:43.6440412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6440749Z x = self.stages(x) 2025-09-07T08:02:43.6441044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6441372Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6441721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6442074Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6442214Z 2025-09-07T08:02:43.6442319Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6442671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6442990Z return mod(*inputs) 2025-09-07T08:02:43.6443279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6443614Z x = self.forward_features(x) 2025-09-07T08:02:43.6443952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6444292Z x = self.stages(x) 2025-09-07T08:02:43.6444576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6444911Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6445270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6445614Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6445741Z 2025-09-07T08:02:43.6445851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6446196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6447510Z return mod(*inputs) 2025-09-07T08:02:43.6447832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6448156Z x = self.forward_features(x) 2025-09-07T08:02:43.6448490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6448831Z x = self.stages(x) 2025-09-07T08:02:43.6449123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6449454Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6449808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6450149Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6450284Z 2025-09-07T08:02:43.6450389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6450751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6451073Z return mod(*inputs) 2025-09-07T08:02:43.6451364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6451705Z x = self.forward_features(x) 2025-09-07T08:02:43.6452035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6452368Z x = self.stages(x) 2025-09-07T08:02:43.6452659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6452976Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6453332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6453675Z return x * self.gate(x_se) 2025-09-07T08:02:43.6454006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6454368Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6454534Z 2025-09-07T08:02:43.6454641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6454991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6455314Z return mod(*inputs) 2025-09-07T08:02:43.6455608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6455921Z x = self.forward_features(x) 2025-09-07T08:02:43.6456251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6456587Z x = self.stages(x) 2025-09-07T08:02:43.6456882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6457204Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6457559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6457920Z return x * self.gate(x_se) 2025-09-07T08:02:43.6458242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6458606Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6458758Z 2025-09-07T08:02:43.6458859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6459216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6459527Z return mod(*inputs) 2025-09-07T08:02:43.6459819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6460123Z x = self.forward_features(x) 2025-09-07T08:02:43.6460450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6460805Z x = self.stages(x) 2025-09-07T08:02:43.6461107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 199, in forward 2025-09-07T08:02:43.6461441Z out = out * self.alpha + shortcut 2025-09-07T08:02:43.6461570Z 2025-09-07T08:02:43.6461654Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6461892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6462237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6462549Z return mod(*inputs) 2025-09-07T08:02:43.6462831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6463142Z x = self.forward_features(x) 2025-09-07T08:02:43.6463469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6463801Z x = self.stages(x) 2025-09-07T08:02:43.6464086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6464391Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6464520Z 2025-09-07T08:02:43.6464624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6464982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6465300Z return mod(*inputs) 2025-09-07T08:02:43.6465580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6465892Z x = self.forward_features(x) 2025-09-07T08:02:43.6466220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6466553Z x = self.stages(x) 2025-09-07T08:02:43.6466837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6467146Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6467279Z 2025-09-07T08:02:43.6467383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6467728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6468045Z return mod(*inputs) 2025-09-07T08:02:43.6468327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6468639Z x = self.forward_features(x) 2025-09-07T08:02:43.6468961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6469294Z x = self.stages(x) 2025-09-07T08:02:43.6469577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6469885Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6470018Z 2025-09-07T08:02:43.6470123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6470473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6470799Z return mod(*inputs) 2025-09-07T08:02:43.6471085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6471398Z x = self.forward_features(x) 2025-09-07T08:02:43.6471727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6472057Z x = self.stages(x) 2025-09-07T08:02:43.6472345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6472654Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6472788Z 2025-09-07T08:02:43.6472887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6473231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6473563Z return mod(*inputs) 2025-09-07T08:02:43.6473860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6474175Z x = self.forward_features(x) 2025-09-07T08:02:43.6474503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6474831Z x = self.stages(x) 2025-09-07T08:02:43.6475118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6475430Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6475565Z 2025-09-07T08:02:43.6475667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6476010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6476319Z return mod(*inputs) 2025-09-07T08:02:43.6476600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6476912Z x = self.forward_features(x) 2025-09-07T08:02:43.6477241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6477569Z x = self.stages(x) 2025-09-07T08:02:43.6477872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6478178Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6478313Z 2025-09-07T08:02:43.6478414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6478760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6479072Z return mod(*inputs) 2025-09-07T08:02:43.6479354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6479668Z x = self.forward_features(x) 2025-09-07T08:02:43.6479996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6480326Z x = self.stages(x) 2025-09-07T08:02:43.6480614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6480922Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6481055Z 2025-09-07T08:02:43.6481158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6481507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6481900Z return mod(*inputs) 2025-09-07T08:02:43.6482184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6482500Z x = self.forward_features(x) 2025-09-07T08:02:43.6482825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6483169Z x = self.stages(x) 2025-09-07T08:02:43.6483462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6483816Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6484150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6484584Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6484804Z 2025-09-07T08:02:43.6484916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6485264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6485581Z return mod(*inputs) 2025-09-07T08:02:43.6485876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6486200Z x = self.forward_features(x) 2025-09-07T08:02:43.6486566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6486901Z x = self.stages(x) 2025-09-07T08:02:43.6487224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6487548Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6487884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6488309Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6488546Z 2025-09-07T08:02:43.6488630Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6488873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6489231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6489551Z return mod(*inputs) 2025-09-07T08:02:43.6489844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6490170Z x = self.forward_features(x) 2025-09-07T08:02:43.6490516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6490857Z x = self.stages(x) 2025-09-07T08:02:43.6491169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6491502Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6491857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6492206Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6492337Z 2025-09-07T08:02:43.6492447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6492792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6493115Z return mod(*inputs) 2025-09-07T08:02:43.6493416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6493739Z x = self.forward_features(x) 2025-09-07T08:02:43.6494071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6494409Z x = self.stages(x) 2025-09-07T08:02:43.6494705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6495040Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6495396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6495732Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6495867Z 2025-09-07T08:02:43.6495972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6496329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6496659Z return mod(*inputs) 2025-09-07T08:02:43.6496965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6497278Z x = self.forward_features(x) 2025-09-07T08:02:43.6497606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6497937Z x = self.stages(x) 2025-09-07T08:02:43.6498221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6498542Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6498888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6499221Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6499345Z 2025-09-07T08:02:43.6499455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6499817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6500123Z return mod(*inputs) 2025-09-07T08:02:43.6500429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6500746Z x = self.forward_features(x) 2025-09-07T08:02:43.6501073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6501392Z x = self.stages(x) 2025-09-07T08:02:43.6501677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6502003Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6502350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6502679Z return x * self.gate(x_se) 2025-09-07T08:02:43.6502991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6503352Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6503505Z 2025-09-07T08:02:43.6503618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6503971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6504295Z return mod(*inputs) 2025-09-07T08:02:43.6504584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6504901Z x = self.forward_features(x) 2025-09-07T08:02:43.6505223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6505553Z x = self.stages(x) 2025-09-07T08:02:43.6505827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6506146Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6506492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6506827Z return x * self.gate(x_se) 2025-09-07T08:02:43.6507138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6507498Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6507655Z 2025-09-07T08:02:43.6507759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6508101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6508410Z return mod(*inputs) 2025-09-07T08:02:43.6508690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6509000Z x = self.forward_features(x) 2025-09-07T08:02:43.6509327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6509655Z x = self.stages(x) 2025-09-07T08:02:43.6509958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 199, in forward 2025-09-07T08:02:43.6510278Z out = out * self.alpha + shortcut 2025-09-07T08:02:43.6510414Z 2025-09-07T08:02:43.6510519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6510863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6511172Z return mod(*inputs) 2025-09-07T08:02:43.6511451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6511762Z x = self.forward_features(x) 2025-09-07T08:02:43.6512090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6512417Z x = self.stages(x) 2025-09-07T08:02:43.6512689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 183, in forward 2025-09-07T08:02:43.6513027Z shortcut = self.downsample(out) 2025-09-07T08:02:43.6513359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 101, in forward 2025-09-07T08:02:43.6513674Z return self.conv(self.pool(x)) 2025-09-07T08:02:43.6513799Z 2025-09-07T08:02:43.6513889Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6514120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6514462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6514777Z return mod(*inputs) 2025-09-07T08:02:43.6515065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6515369Z x = self.forward_features(x) 2025-09-07T08:02:43.6515700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6516028Z x = self.stages(x) 2025-09-07T08:02:43.6516314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6516618Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6516747Z 2025-09-07T08:02:43.6516850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6517218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6517529Z return mod(*inputs) 2025-09-07T08:02:43.6517822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6518129Z x = self.forward_features(x) 2025-09-07T08:02:43.6518457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6518793Z x = self.stages(x) 2025-09-07T08:02:43.6519090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6519397Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6519533Z 2025-09-07T08:02:43.6519636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6519984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6520297Z return mod(*inputs) 2025-09-07T08:02:43.6520586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6520890Z x = self.forward_features(x) 2025-09-07T08:02:43.6521215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6521541Z x = self.stages(x) 2025-09-07T08:02:43.6521827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6522136Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6522269Z 2025-09-07T08:02:43.6522370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6522720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6523053Z return mod(*inputs) 2025-09-07T08:02:43.6523346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6523650Z x = self.forward_features(x) 2025-09-07T08:02:43.6523975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6524305Z x = self.stages(x) 2025-09-07T08:02:43.6524589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6524899Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6525035Z 2025-09-07T08:02:43.6525136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6525484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6525813Z return mod(*inputs) 2025-09-07T08:02:43.6526116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6526423Z x = self.forward_features(x) 2025-09-07T08:02:43.6526750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6527085Z x = self.stages(x) 2025-09-07T08:02:43.6527373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6527684Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6527822Z 2025-09-07T08:02:43.6527923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6528268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6528582Z return mod(*inputs) 2025-09-07T08:02:43.6528873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6529177Z x = self.forward_features(x) 2025-09-07T08:02:43.6529509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6529843Z x = self.stages(x) 2025-09-07T08:02:43.6530147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6530453Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6530587Z 2025-09-07T08:02:43.6530690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6531038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6531353Z return mod(*inputs) 2025-09-07T08:02:43.6531642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6531949Z x = self.forward_features(x) 2025-09-07T08:02:43.6532282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6532618Z x = self.stages(x) 2025-09-07T08:02:43.6532908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6533220Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6533354Z 2025-09-07T08:02:43.6533456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6533808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6534123Z return mod(*inputs) 2025-09-07T08:02:43.6534412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6534714Z x = self.forward_features(x) 2025-09-07T08:02:43.6535047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6535380Z x = self.stages(x) 2025-09-07T08:02:43.6535666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6535988Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6536318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6536742Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6536964Z 2025-09-07T08:02:43.6537074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6537427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6537737Z return mod(*inputs) 2025-09-07T08:02:43.6538027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6538343Z x = self.forward_features(x) 2025-09-07T08:02:43.6538689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6539036Z x = self.stages(x) 2025-09-07T08:02:43.6539322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6539639Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6539959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6540375Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6540597Z 2025-09-07T08:02:43.6540679Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6540918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6541269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6541578Z return mod(*inputs) 2025-09-07T08:02:43.6541876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6542180Z x = self.forward_features(x) 2025-09-07T08:02:43.6542514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6542851Z x = self.stages(x) 2025-09-07T08:02:43.6543166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6543485Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6543836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6544176Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6544302Z 2025-09-07T08:02:43.6544414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6544763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6545071Z return mod(*inputs) 2025-09-07T08:02:43.6545372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6545691Z x = self.forward_features(x) 2025-09-07T08:02:43.6546019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6546343Z x = self.stages(x) 2025-09-07T08:02:43.6546634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6546964Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6547314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6547654Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6547777Z 2025-09-07T08:02:43.6547881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6548229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6548544Z return mod(*inputs) 2025-09-07T08:02:43.6548850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6549158Z x = self.forward_features(x) 2025-09-07T08:02:43.6549490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6549823Z x = self.stages(x) 2025-09-07T08:02:43.6550112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6550439Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6550779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6551118Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6551249Z 2025-09-07T08:02:43.6551353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6551714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6552032Z return mod(*inputs) 2025-09-07T08:02:43.6552324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6552632Z x = self.forward_features(x) 2025-09-07T08:02:43.6552960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6553286Z x = self.stages(x) 2025-09-07T08:02:43.6553562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6553884Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6554228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6554556Z return x * self.gate(x_se) 2025-09-07T08:02:43.6554866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6555230Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6555391Z 2025-09-07T08:02:43.6555495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6555840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6556185Z return mod(*inputs) 2025-09-07T08:02:43.6556464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6556777Z x = self.forward_features(x) 2025-09-07T08:02:43.6557101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6557429Z x = self.stages(x) 2025-09-07T08:02:43.6557705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6558026Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6558372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6558702Z return x * self.gate(x_se) 2025-09-07T08:02:43.6559022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6559373Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6559530Z 2025-09-07T08:02:43.6559631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6559974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6560282Z return mod(*inputs) 2025-09-07T08:02:43.6560559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6560876Z x = self.forward_features(x) 2025-09-07T08:02:43.6561200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6561532Z x = self.stages(x) 2025-09-07T08:02:43.6561837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6562143Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6562270Z 2025-09-07T08:02:43.6562373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6562721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6563034Z return mod(*inputs) 2025-09-07T08:02:43.6563315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6563627Z x = self.forward_features(x) 2025-09-07T08:02:43.6563952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6564279Z x = self.stages(x) 2025-09-07T08:02:43.6564581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6564887Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6565037Z 2025-09-07T08:02:43.6565142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6565486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6565803Z return mod(*inputs) 2025-09-07T08:02:43.6566083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6566393Z x = self.forward_features(x) 2025-09-07T08:02:43.6566724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6567054Z x = self.stages(x) 2025-09-07T08:02:43.6567337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6567642Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6567775Z 2025-09-07T08:02:43.6567878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6568223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6568536Z return mod(*inputs) 2025-09-07T08:02:43.6568817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6569145Z x = self.forward_features(x) 2025-09-07T08:02:43.6569471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6569799Z x = self.stages(x) 2025-09-07T08:02:43.6570086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6570394Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6570532Z 2025-09-07T08:02:43.6570631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6570975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6571284Z return mod(*inputs) 2025-09-07T08:02:43.6571567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6571874Z x = self.forward_features(x) 2025-09-07T08:02:43.6572202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6572533Z x = self.stages(x) 2025-09-07T08:02:43.6572818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6573127Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6573263Z 2025-09-07T08:02:43.6573366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6573718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6574033Z return mod(*inputs) 2025-09-07T08:02:43.6574317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6574628Z x = self.forward_features(x) 2025-09-07T08:02:43.6574974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6575311Z x = self.stages(x) 2025-09-07T08:02:43.6575597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6575909Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6576045Z 2025-09-07T08:02:43.6576147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6576506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6576820Z return mod(*inputs) 2025-09-07T08:02:43.6577104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6577430Z x = self.forward_features(x) 2025-09-07T08:02:43.6577774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6578106Z x = self.stages(x) 2025-09-07T08:02:43.6578389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6578695Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6578822Z 2025-09-07T08:02:43.6578924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6579268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6579577Z return mod(*inputs) 2025-09-07T08:02:43.6579856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6580164Z x = self.forward_features(x) 2025-09-07T08:02:43.6580486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6580816Z x = self.stages(x) 2025-09-07T08:02:43.6581105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6581409Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6581771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6582227Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6582448Z 2025-09-07T08:02:43.6582563Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6582914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6583219Z return mod(*inputs) 2025-09-07T08:02:43.6583514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6583828Z x = self.forward_features(x) 2025-09-07T08:02:43.6584157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6584480Z x = self.stages(x) 2025-09-07T08:02:43.6584772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6585087Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6585409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6585816Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6586042Z 2025-09-07T08:02:43.6586124Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6586362Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6586712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6587026Z return mod(*inputs) 2025-09-07T08:02:43.6587300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6587603Z x = self.forward_features(x) 2025-09-07T08:02:43.6587949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6588271Z x = self.stages(x) 2025-09-07T08:02:43.6588539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6588856Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6589192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6589520Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6589643Z 2025-09-07T08:02:43.6589748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6590082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6590411Z return mod(*inputs) 2025-09-07T08:02:43.6590713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6591020Z x = self.forward_features(x) 2025-09-07T08:02:43.6591339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6591656Z x = self.stages(x) 2025-09-07T08:02:43.6591929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6592245Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6592575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6592891Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6593017Z 2025-09-07T08:02:43.6593119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6593456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6593758Z return mod(*inputs) 2025-09-07T08:02:43.6594038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6594330Z x = self.forward_features(x) 2025-09-07T08:02:43.6594672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6594993Z x = self.stages(x) 2025-09-07T08:02:43.6595270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6595576Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6595913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6596244Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6596363Z 2025-09-07T08:02:43.6596472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6596812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6597108Z return mod(*inputs) 2025-09-07T08:02:43.6597392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6597699Z x = self.forward_features(x) 2025-09-07T08:02:43.6598018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6598329Z x = self.stages(x) 2025-09-07T08:02:43.6598602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6598916Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6599255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6599575Z return x * self.gate(x_se) 2025-09-07T08:02:43.6599883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6600235Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6600406Z 2025-09-07T08:02:43.6600508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6600844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6601139Z return mod(*inputs) 2025-09-07T08:02:43.6601420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6601723Z x = self.forward_features(x) 2025-09-07T08:02:43.6602038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6602359Z x = self.stages(x) 2025-09-07T08:02:43.6602625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6602962Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6603325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6603651Z return x * self.gate(x_se) 2025-09-07T08:02:43.6603956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6604309Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6604466Z 2025-09-07T08:02:43.6604565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6604905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6605207Z return mod(*inputs) 2025-09-07T08:02:43.6605486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6605788Z x = self.forward_features(x) 2025-09-07T08:02:43.6606107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6606425Z x = self.stages(x) 2025-09-07T08:02:43.6606697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 199, in forward 2025-09-07T08:02:43.6607015Z out = out * self.alpha + shortcut 2025-09-07T08:02:43.6607164Z 2025-09-07T08:02:43.6607261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6607600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6607901Z return mod(*inputs) 2025-09-07T08:02:43.6608174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6608481Z x = self.forward_features(x) 2025-09-07T08:02:43.6608797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6609116Z x = self.stages(x) 2025-09-07T08:02:43.6609383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 183, in forward 2025-09-07T08:02:43.6609694Z shortcut = self.downsample(out) 2025-09-07T08:02:43.6610004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 101, in forward 2025-09-07T08:02:43.6610312Z return self.conv(self.pool(x)) 2025-09-07T08:02:43.6610433Z 2025-09-07T08:02:43.6610518Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6610741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6611076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6611378Z return mod(*inputs) 2025-09-07T08:02:43.6611659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6611950Z x = self.forward_features(x) 2025-09-07T08:02:43.6612269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6612588Z x = self.stages(x) 2025-09-07T08:02:43.6612886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6613189Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6613309Z 2025-09-07T08:02:43.6613406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6613741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6614048Z return mod(*inputs) 2025-09-07T08:02:43.6614330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6614625Z x = self.forward_features(x) 2025-09-07T08:02:43.6614945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6615261Z x = self.stages(x) 2025-09-07T08:02:43.6615555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6615907Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6616033Z 2025-09-07T08:02:43.6616134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6616473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6616779Z return mod(*inputs) 2025-09-07T08:02:43.6617063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6617356Z x = self.forward_features(x) 2025-09-07T08:02:43.6617680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6618001Z x = self.stages(x) 2025-09-07T08:02:43.6618278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6618589Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6618712Z 2025-09-07T08:02:43.6618811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6619152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6619457Z return mod(*inputs) 2025-09-07T08:02:43.6619756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6620052Z x = self.forward_features(x) 2025-09-07T08:02:43.6620374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6620692Z x = self.stages(x) 2025-09-07T08:02:43.6620971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6621275Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6621399Z 2025-09-07T08:02:43.6621499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6621839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6622147Z return mod(*inputs) 2025-09-07T08:02:43.6622429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6622719Z x = self.forward_features(x) 2025-09-07T08:02:43.6623038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6623356Z x = self.stages(x) 2025-09-07T08:02:43.6623632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6623940Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6624062Z 2025-09-07T08:02:43.6624161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6624501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6624807Z return mod(*inputs) 2025-09-07T08:02:43.6625088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6625400Z x = self.forward_features(x) 2025-09-07T08:02:43.6625729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6626054Z x = self.stages(x) 2025-09-07T08:02:43.6626334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6626634Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6626762Z 2025-09-07T08:02:43.6626863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6627201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6627502Z return mod(*inputs) 2025-09-07T08:02:43.6627781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6628099Z x = self.forward_features(x) 2025-09-07T08:02:43.6628433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6628758Z x = self.stages(x) 2025-09-07T08:02:43.6629035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6629334Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6629459Z 2025-09-07T08:02:43.6629560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6629891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6630193Z return mod(*inputs) 2025-09-07T08:02:43.6630471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6630765Z x = self.forward_features(x) 2025-09-07T08:02:43.6631090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6631411Z x = self.stages(x) 2025-09-07T08:02:43.6631694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6631988Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6632327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6632737Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6632960Z 2025-09-07T08:02:43.6633061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6633397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6633689Z return mod(*inputs) 2025-09-07T08:02:43.6633972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6634274Z x = self.forward_features(x) 2025-09-07T08:02:43.6634591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6634913Z x = self.stages(x) 2025-09-07T08:02:43.6635182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6635488Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6635800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6636205Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6636418Z 2025-09-07T08:02:43.6636500Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6636727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6637060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6637367Z return mod(*inputs) 2025-09-07T08:02:43.6637647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6637963Z x = self.forward_features(x) 2025-09-07T08:02:43.6638284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6638610Z x = self.stages(x) 2025-09-07T08:02:43.6638892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6639201Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6639541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6639873Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6639995Z 2025-09-07T08:02:43.6640104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6640441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6640761Z return mod(*inputs) 2025-09-07T08:02:43.6641060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6641361Z x = self.forward_features(x) 2025-09-07T08:02:43.6641683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6641993Z x = self.stages(x) 2025-09-07T08:02:43.6642273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6642585Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6642922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6643247Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6643366Z 2025-09-07T08:02:43.6643467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6643804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6644107Z return mod(*inputs) 2025-09-07T08:02:43.6644385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6644685Z x = self.forward_features(x) 2025-09-07T08:02:43.6645022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6645343Z x = self.stages(x) 2025-09-07T08:02:43.6645622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6645937Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6646265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6646592Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6646719Z 2025-09-07T08:02:43.6646822Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6647159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6647456Z return mod(*inputs) 2025-09-07T08:02:43.6647735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6648038Z x = self.forward_features(x) 2025-09-07T08:02:43.6648358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6648677Z x = self.stages(x) 2025-09-07T08:02:43.6648945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6649260Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6649594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6649913Z return x * self.gate(x_se) 2025-09-07T08:02:43.6650221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6650597Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6650755Z 2025-09-07T08:02:43.6650855Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6651196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6651502Z return mod(*inputs) 2025-09-07T08:02:43.6651778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6652085Z x = self.forward_features(x) 2025-09-07T08:02:43.6652404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6652729Z x = self.stages(x) 2025-09-07T08:02:43.6652999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6675784Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6676332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6676688Z return x * self.gate(x_se) 2025-09-07T08:02:43.6677030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6677402Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6677565Z 2025-09-07T08:02:43.6677690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6678048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6678372Z return mod(*inputs) 2025-09-07T08:02:43.6678675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6678999Z x = self.forward_features(x) 2025-09-07T08:02:43.6679339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6679664Z x = self.stages(x) 2025-09-07T08:02:43.6679959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6680273Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6680427Z 2025-09-07T08:02:43.6680543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6680888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6681212Z return mod(*inputs) 2025-09-07T08:02:43.6681512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6681890Z x = self.forward_features(x) 2025-09-07T08:02:43.6682232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6682573Z x = self.stages(x) 2025-09-07T08:02:43.6682874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6683212Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6683343Z 2025-09-07T08:02:43.6683457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6683813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6684143Z return mod(*inputs) 2025-09-07T08:02:43.6684447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6684770Z x = self.forward_features(x) 2025-09-07T08:02:43.6685114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6685447Z x = self.stages(x) 2025-09-07T08:02:43.6685740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6686065Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6686196Z 2025-09-07T08:02:43.6686310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6686706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6687023Z return mod(*inputs) 2025-09-07T08:02:43.6687318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6687628Z x = self.forward_features(x) 2025-09-07T08:02:43.6687961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6688291Z x = self.stages(x) 2025-09-07T08:02:43.6688576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6688897Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6689028Z 2025-09-07T08:02:43.6689168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6689544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6689860Z return mod(*inputs) 2025-09-07T08:02:43.6690149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6690453Z x = self.forward_features(x) 2025-09-07T08:02:43.6690782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6691113Z x = self.stages(x) 2025-09-07T08:02:43.6691399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6691719Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6691846Z 2025-09-07T08:02:43.6691949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6692296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6692617Z return mod(*inputs) 2025-09-07T08:02:43.6692905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6693206Z x = self.forward_features(x) 2025-09-07T08:02:43.6693532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6693887Z x = self.stages(x) 2025-09-07T08:02:43.6694171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6694481Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6694607Z 2025-09-07T08:02:43.6694708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6695051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6695405Z return mod(*inputs) 2025-09-07T08:02:43.6695695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6695993Z x = self.forward_features(x) 2025-09-07T08:02:43.6696314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6696632Z x = self.stages(x) 2025-09-07T08:02:43.6696914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6697214Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6697334Z 2025-09-07T08:02:43.6697433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6697769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6698072Z return mod(*inputs) 2025-09-07T08:02:43.6698353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6698645Z x = self.forward_features(x) 2025-09-07T08:02:43.6698967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6699289Z x = self.stages(x) 2025-09-07T08:02:43.6699583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6699893Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6700202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6700620Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6700847Z 2025-09-07T08:02:43.6700951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6701295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6701592Z return mod(*inputs) 2025-09-07T08:02:43.6701878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6702201Z x = self.forward_features(x) 2025-09-07T08:02:43.6702551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6702871Z x = self.stages(x) 2025-09-07T08:02:43.6703141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6703448Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6703761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6704169Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6704381Z 2025-09-07T08:02:43.6704474Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6704699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6705039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6705342Z return mod(*inputs) 2025-09-07T08:02:43.6705625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6705921Z x = self.forward_features(x) 2025-09-07T08:02:43.6706245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6706585Z x = self.stages(x) 2025-09-07T08:02:43.6706871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6707190Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6707539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6707878Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6708005Z 2025-09-07T08:02:43.6708115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6708463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6708767Z return mod(*inputs) 2025-09-07T08:02:43.6709058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6709370Z x = self.forward_features(x) 2025-09-07T08:02:43.6709698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6710014Z x = self.stages(x) 2025-09-07T08:02:43.6710297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6710620Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6710965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6711300Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6711425Z 2025-09-07T08:02:43.6711527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6711871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6712183Z return mod(*inputs) 2025-09-07T08:02:43.6712487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6712787Z x = self.forward_features(x) 2025-09-07T08:02:43.6713108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6713433Z x = self.stages(x) 2025-09-07T08:02:43.6713715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6714033Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6714361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6714692Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6714836Z 2025-09-07T08:02:43.6714939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6715302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6715616Z return mod(*inputs) 2025-09-07T08:02:43.6715895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6716201Z x = self.forward_features(x) 2025-09-07T08:02:43.6716524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6716841Z x = self.stages(x) 2025-09-07T08:02:43.6717113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6717432Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6717773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6718107Z return x * self.gate(x_se) 2025-09-07T08:02:43.6718414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6718773Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6718933Z 2025-09-07T08:02:43.6719036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6719397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6719705Z return mod(*inputs) 2025-09-07T08:02:43.6719979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6720283Z x = self.forward_features(x) 2025-09-07T08:02:43.6720605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6720927Z x = self.stages(x) 2025-09-07T08:02:43.6721197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6721512Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6721850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6722179Z return x * self.gate(x_se) 2025-09-07T08:02:43.6722490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6722838Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6722996Z 2025-09-07T08:02:43.6723097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6723436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6723739Z return mod(*inputs) 2025-09-07T08:02:43.6724022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6724325Z x = self.forward_features(x) 2025-09-07T08:02:43.6724645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6724966Z x = self.stages(x) 2025-09-07T08:02:43.6725260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6725565Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6725695Z 2025-09-07T08:02:43.6725794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6726133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6726437Z return mod(*inputs) 2025-09-07T08:02:43.6726717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6727014Z x = self.forward_features(x) 2025-09-07T08:02:43.6727334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6727674Z x = self.stages(x) 2025-09-07T08:02:43.6727971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6728271Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6728402Z 2025-09-07T08:02:43.6728500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6728840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6729148Z return mod(*inputs) 2025-09-07T08:02:43.6729430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6729733Z x = self.forward_features(x) 2025-09-07T08:02:43.6730049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6730359Z x = self.stages(x) 2025-09-07T08:02:43.6730639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6730946Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6731071Z 2025-09-07T08:02:43.6731182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6731508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6731835Z return mod(*inputs) 2025-09-07T08:02:43.6732119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6732424Z x = self.forward_features(x) 2025-09-07T08:02:43.6732743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6733062Z x = self.stages(x) 2025-09-07T08:02:43.6733248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6733328Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6733333Z 2025-09-07T08:02:43.6733442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6733631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6733698Z return mod(*inputs) 2025-09-07T08:02:43.6733887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6733959Z x = self.forward_features(x) 2025-09-07T08:02:43.6734169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6734234Z x = self.stages(x) 2025-09-07T08:02:43.6734409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6734492Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6734495Z 2025-09-07T08:02:43.6734595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6734788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6734856Z return mod(*inputs) 2025-09-07T08:02:43.6735055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6735126Z x = self.forward_features(x) 2025-09-07T08:02:43.6735330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6735405Z x = self.stages(x) 2025-09-07T08:02:43.6735578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6735658Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6735661Z 2025-09-07T08:02:43.6735758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6735942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6736016Z return mod(*inputs) 2025-09-07T08:02:43.6736206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6736296Z x = self.forward_features(x) 2025-09-07T08:02:43.6736500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6736563Z x = self.stages(x) 2025-09-07T08:02:43.6736748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6736819Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6737016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6737186Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6737189Z 2025-09-07T08:02:43.6737293Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6737474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6737541Z return mod(*inputs) 2025-09-07T08:02:43.6737727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6737795Z x = self.forward_features(x) 2025-09-07T08:02:43.6738003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6738083Z x = self.stages(x) 2025-09-07T08:02:43.6738263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6738341Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6738533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6738708Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6738711Z 2025-09-07T08:02:43.6738791Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6738894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6739091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6739156Z return mod(*inputs) 2025-09-07T08:02:43.6739349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6739421Z x = self.forward_features(x) 2025-09-07T08:02:43.6739628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6739703Z x = self.stages(x) 2025-09-07T08:02:43.6739884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6739977Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6740184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6740261Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6740270Z 2025-09-07T08:02:43.6740373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6740575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6740648Z return mod(*inputs) 2025-09-07T08:02:43.6740830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6740908Z x = self.forward_features(x) 2025-09-07T08:02:43.6741112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6741176Z x = self.stages(x) 2025-09-07T08:02:43.6741364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6741450Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6741661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6741762Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6741765Z 2025-09-07T08:02:43.6741876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6742071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6742136Z return mod(*inputs) 2025-09-07T08:02:43.6742318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6742387Z x = self.forward_features(x) 2025-09-07T08:02:43.6742587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6742657Z x = self.stages(x) 2025-09-07T08:02:43.6742831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6742922Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6743126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6743209Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6743212Z 2025-09-07T08:02:43.6743310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6743495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6743890Z return mod(*inputs) 2025-09-07T08:02:43.6744072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6744149Z x = self.forward_features(x) 2025-09-07T08:02:43.6744353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6744418Z x = self.stages(x) 2025-09-07T08:02:43.6744606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6744691Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6744904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6744977Z return x * self.gate(x_se) 2025-09-07T08:02:43.6745177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6745294Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6745297Z 2025-09-07T08:02:43.6745397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6745590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6745658Z return mod(*inputs) 2025-09-07T08:02:43.6745837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6745917Z x = self.forward_features(x) 2025-09-07T08:02:43.6746123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6746201Z x = self.stages(x) 2025-09-07T08:02:43.6746401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6746495Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6746699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6746769Z return x * self.gate(x_se) 2025-09-07T08:02:43.6746978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6747082Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6747085Z 2025-09-07T08:02:43.6747193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6747384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6747465Z return mod(*inputs) 2025-09-07T08:02:43.6747652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6747879Z x = self.forward_features(x) 2025-09-07T08:02:43.6748088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6748153Z x = self.stages(x) 2025-09-07T08:02:43.6748329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6748409Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6748412Z 2025-09-07T08:02:43.6748509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6748700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6748764Z return mod(*inputs) 2025-09-07T08:02:43.6748947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6749019Z x = self.forward_features(x) 2025-09-07T08:02:43.6749226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6749305Z x = self.stages(x) 2025-09-07T08:02:43.6749482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6749579Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6749582Z 2025-09-07T08:02:43.6749682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6749864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6749936Z return mod(*inputs) 2025-09-07T08:02:43.6750115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6750193Z x = self.forward_features(x) 2025-09-07T08:02:43.6750396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6750460Z x = self.stages(x) 2025-09-07T08:02:43.6750650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6750724Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6750729Z 2025-09-07T08:02:43.6750834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6751019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6751093Z return mod(*inputs) 2025-09-07T08:02:43.6751272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6751342Z x = self.forward_features(x) 2025-09-07T08:02:43.6751552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6751616Z x = self.stages(x) 2025-09-07T08:02:43.6751801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6751879Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6751882Z 2025-09-07T08:02:43.6751992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6752188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6752254Z return mod(*inputs) 2025-09-07T08:02:43.6752440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6752509Z x = self.forward_features(x) 2025-09-07T08:02:43.6752713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6752784Z x = self.stages(x) 2025-09-07T08:02:43.6752958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6753057Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6753060Z 2025-09-07T08:02:43.6753157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6753353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6753426Z return mod(*inputs) 2025-09-07T08:02:43.6753604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6753682Z x = self.forward_features(x) 2025-09-07T08:02:43.6753885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6753959Z x = self.stages(x) 2025-09-07T08:02:43.6754134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6754207Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6754210Z 2025-09-07T08:02:43.6754314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6754497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6754571Z return mod(*inputs) 2025-09-07T08:02:43.6754747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6754819Z x = self.forward_features(x) 2025-09-07T08:02:43.6755042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6755105Z x = self.stages(x) 2025-09-07T08:02:43.6755287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6755358Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6755361Z 2025-09-07T08:02:43.6755456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6755643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6755710Z return mod(*inputs) 2025-09-07T08:02:43.6755897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6755969Z x = self.forward_features(x) 2025-09-07T08:02:43.6756169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6756242Z x = self.stages(x) 2025-09-07T08:02:43.6756416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6756496Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6756683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6756859Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6756862Z 2025-09-07T08:02:43.6756960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6757144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6757217Z return mod(*inputs) 2025-09-07T08:02:43.6757409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6757486Z x = self.forward_features(x) 2025-09-07T08:02:43.6757689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6757751Z x = self.stages(x) 2025-09-07T08:02:43.6757932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6758001Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6758197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6758361Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6758377Z 2025-09-07T08:02:43.6758460Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6758565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6758761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6758835Z return mod(*inputs) 2025-09-07T08:02:43.6759023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6759102Z x = self.forward_features(x) 2025-09-07T08:02:43.6759311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6759377Z x = self.stages(x) 2025-09-07T08:02:43.6759567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6759651Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6759868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6759945Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6759948Z 2025-09-07T08:02:43.6760049Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6760246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6760328Z return mod(*inputs) 2025-09-07T08:02:43.6760511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6760580Z x = self.forward_features(x) 2025-09-07T08:02:43.6760779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6760854Z x = self.stages(x) 2025-09-07T08:02:43.6761027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6761119Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6761319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6761391Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6761402Z 2025-09-07T08:02:43.6761502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6761682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6761755Z return mod(*inputs) 2025-09-07T08:02:43.6761931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6762011Z x = self.forward_features(x) 2025-09-07T08:02:43.6762208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6762271Z x = self.stages(x) 2025-09-07T08:02:43.6762456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6762539Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6762749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6762841Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6762845Z 2025-09-07T08:02:43.6762945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6763138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6763202Z return mod(*inputs) 2025-09-07T08:02:43.6763384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6763453Z x = self.forward_features(x) 2025-09-07T08:02:43.6763653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6763726Z x = self.stages(x) 2025-09-07T08:02:43.6763899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6764010Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6764225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6764297Z return x * self.gate(x_se) 2025-09-07T08:02:43.6764505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6764609Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6764612Z 2025-09-07T08:02:43.6764718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6764900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6764971Z return mod(*inputs) 2025-09-07T08:02:43.6765147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6765217Z x = self.forward_features(x) 2025-09-07T08:02:43.6765428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6765491Z x = self.stages(x) 2025-09-07T08:02:43.6765674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6765754Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6765969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6766046Z return x * self.gate(x_se) 2025-09-07T08:02:43.6766236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6766341Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6766344Z 2025-09-07T08:02:43.6766440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6766624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6766698Z return mod(*inputs) 2025-09-07T08:02:43.6766876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6766956Z x = self.forward_features(x) 2025-09-07T08:02:43.6767153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6767225Z x = self.stages(x) 2025-09-07T08:02:43.6767399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6767469Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6767472Z 2025-09-07T08:02:43.6767577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6767758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6767831Z return mod(*inputs) 2025-09-07T08:02:43.6768003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6768071Z x = self.forward_features(x) 2025-09-07T08:02:43.6768294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6768369Z x = self.stages(x) 2025-09-07T08:02:43.6768546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6768615Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6768618Z 2025-09-07T08:02:43.6768724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6768905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6768975Z return mod(*inputs) 2025-09-07T08:02:43.6769150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6769218Z x = self.forward_features(x) 2025-09-07T08:02:43.6769444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6769521Z x = self.stages(x) 2025-09-07T08:02:43.6769702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6769777Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6769782Z 2025-09-07T08:02:43.6769877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6770065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6770127Z return mod(*inputs) 2025-09-07T08:02:43.6770309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6770376Z x = self.forward_features(x) 2025-09-07T08:02:43.6770582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6770646Z x = self.stages(x) 2025-09-07T08:02:43.6770818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6770901Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6770904Z 2025-09-07T08:02:43.6771002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6771230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6771295Z return mod(*inputs) 2025-09-07T08:02:43.6771467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6771544Z x = self.forward_features(x) 2025-09-07T08:02:43.6771745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6771811Z x = self.stages(x) 2025-09-07T08:02:43.6771986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6772057Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6772059Z 2025-09-07T08:02:43.6772164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6772348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6772420Z return mod(*inputs) 2025-09-07T08:02:43.6772594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6772661Z x = self.forward_features(x) 2025-09-07T08:02:43.6772865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6772925Z x = self.stages(x) 2025-09-07T08:02:43.6773105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6773174Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6773177Z 2025-09-07T08:02:43.6773283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6773466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6773543Z return mod(*inputs) 2025-09-07T08:02:43.6773722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6773791Z x = self.forward_features(x) 2025-09-07T08:02:43.6773992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6774053Z x = self.stages(x) 2025-09-07T08:02:43.6774225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6774300Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6774486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6774658Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6774674Z 2025-09-07T08:02:43.6774775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6774972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6775041Z return mod(*inputs) 2025-09-07T08:02:43.6775217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6775291Z x = self.forward_features(x) 2025-09-07T08:02:43.6775489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6775558Z x = self.stages(x) 2025-09-07T08:02:43.6775731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6775799Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6775990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6776153Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6776158Z 2025-09-07T08:02:43.6776244Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6776340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6776538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6776608Z return mod(*inputs) 2025-09-07T08:02:43.6776784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6776857Z x = self.forward_features(x) 2025-09-07T08:02:43.6777058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6777121Z x = self.stages(x) 2025-09-07T08:02:43.6777305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6777388Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6777596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6777669Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6777672Z 2025-09-07T08:02:43.6777776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6777956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6778019Z return mod(*inputs) 2025-09-07T08:02:43.6778204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6778273Z x = self.forward_features(x) 2025-09-07T08:02:43.6778483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6778545Z x = self.stages(x) 2025-09-07T08:02:43.6778720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6778808Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6779024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6779106Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6779110Z 2025-09-07T08:02:43.6779207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6779393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6779465Z return mod(*inputs) 2025-09-07T08:02:43.6779638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6779715Z x = self.forward_features(x) 2025-09-07T08:02:43.6779915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6780006Z x = self.stages(x) 2025-09-07T08:02:43.6780190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6780287Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6780492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6780563Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6780566Z 2025-09-07T08:02:43.6780667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6780845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6780906Z return mod(*inputs) 2025-09-07T08:02:43.6781084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6781152Z x = self.forward_features(x) 2025-09-07T08:02:43.6781361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6781426Z x = self.stages(x) 2025-09-07T08:02:43.6781641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6781731Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6781935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6782057Z return x * self.gate(x_se) 2025-09-07T08:02:43.6782264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6782369Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6782372Z 2025-09-07T08:02:43.6782478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6782665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6782739Z return mod(*inputs) 2025-09-07T08:02:43.6782922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6782993Z x = self.forward_features(x) 2025-09-07T08:02:43.6783210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6783277Z x = self.stages(x) 2025-09-07T08:02:43.6783504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6783587Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6783800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6783869Z return x * self.gate(x_se) 2025-09-07T08:02:43.6784068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6784177Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6784182Z 2025-09-07T08:02:43.6784281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6784483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6784571Z return mod(*inputs) 2025-09-07T08:02:43.6784757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6784835Z x = self.forward_features(x) 2025-09-07T08:02:43.6785040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6785109Z x = self.stages(x) 2025-09-07T08:02:43.6785285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6785357Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6785360Z 2025-09-07T08:02:43.6785461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6785648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6785741Z return mod(*inputs) 2025-09-07T08:02:43.6785953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6786021Z x = self.forward_features(x) 2025-09-07T08:02:43.6786241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6786306Z x = self.stages(x) 2025-09-07T08:02:43.6786493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6786568Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6786571Z 2025-09-07T08:02:43.6786680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6786869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6786932Z return mod(*inputs) 2025-09-07T08:02:43.6787124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6787195Z x = self.forward_features(x) 2025-09-07T08:02:43.6787408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6787473Z x = self.stages(x) 2025-09-07T08:02:43.6787671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6787752Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6787755Z 2025-09-07T08:02:43.6787853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6788051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6788118Z return mod(*inputs) 2025-09-07T08:02:43.6788300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6788380Z x = self.forward_features(x) 2025-09-07T08:02:43.6788585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6788657Z x = self.stages(x) 2025-09-07T08:02:43.6788842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6788925Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6788934Z 2025-09-07T08:02:43.6789036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6789224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6789296Z return mod(*inputs) 2025-09-07T08:02:43.6789478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6789555Z x = self.forward_features(x) 2025-09-07T08:02:43.6789762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6789828Z x = self.stages(x) 2025-09-07T08:02:43.6790017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6790109Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6790113Z 2025-09-07T08:02:43.6790221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6790411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6790476Z return mod(*inputs) 2025-09-07T08:02:43.6790668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6790740Z x = self.forward_features(x) 2025-09-07T08:02:43.6790953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6791017Z x = self.stages(x) 2025-09-07T08:02:43.6791199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6791299Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6791301Z 2025-09-07T08:02:43.6791419Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6791618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6791685Z return mod(*inputs) 2025-09-07T08:02:43.6791864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6791943Z x = self.forward_features(x) 2025-09-07T08:02:43.6792147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6792220Z x = self.stages(x) 2025-09-07T08:02:43.6792400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6792482Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6792487Z 2025-09-07T08:02:43.6792588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6792777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6792851Z return mod(*inputs) 2025-09-07T08:02:43.6793037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6793132Z x = self.forward_features(x) 2025-09-07T08:02:43.6793336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6793399Z x = self.stages(x) 2025-09-07T08:02:43.6793588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6793660Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6793859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6794030Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6794033Z 2025-09-07T08:02:43.6794133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6794331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6794398Z return mod(*inputs) 2025-09-07T08:02:43.6794587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6794657Z x = self.forward_features(x) 2025-09-07T08:02:43.6794901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6794963Z x = self.stages(x) 2025-09-07T08:02:43.6795139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6795220Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6795404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6795579Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6795594Z 2025-09-07T08:02:43.6795674Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6795772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6795963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6796025Z return mod(*inputs) 2025-09-07T08:02:43.6796206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6796274Z x = self.forward_features(x) 2025-09-07T08:02:43.6796473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6796544Z x = self.stages(x) 2025-09-07T08:02:43.6796720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6796831Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6797047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6797122Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6797132Z 2025-09-07T08:02:43.6797231Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6797412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6797484Z return mod(*inputs) 2025-09-07T08:02:43.6797657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6797733Z x = self.forward_features(x) 2025-09-07T08:02:43.6797928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6797991Z x = self.stages(x) 2025-09-07T08:02:43.6798174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6798257Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6798464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6798549Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6798552Z 2025-09-07T08:02:43.6798650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6798847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6798909Z return mod(*inputs) 2025-09-07T08:02:43.6799098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6799169Z x = self.forward_features(x) 2025-09-07T08:02:43.6799375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6799450Z x = self.stages(x) 2025-09-07T08:02:43.6799631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6799718Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6799923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6799994Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6800006Z 2025-09-07T08:02:43.6800103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6800290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6800359Z return mod(*inputs) 2025-09-07T08:02:43.6800539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6800613Z x = self.forward_features(x) 2025-09-07T08:02:43.6800817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6800881Z x = self.stages(x) 2025-09-07T08:02:43.6801085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6801168Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6801376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6801444Z return x * self.gate(x_se) 2025-09-07T08:02:43.6801636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6801745Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6801748Z 2025-09-07T08:02:43.6801848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6802040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6802123Z return mod(*inputs) 2025-09-07T08:02:43.6802297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6802400Z x = self.forward_features(x) 2025-09-07T08:02:43.6802600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6802676Z x = self.stages(x) 2025-09-07T08:02:43.6802848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6802938Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6803134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6803202Z return x * self.gate(x_se) 2025-09-07T08:02:43.6803403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6803503Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6803507Z 2025-09-07T08:02:43.6803613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6803798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6803863Z return mod(*inputs) 2025-09-07T08:02:43.6804062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6804131Z x = self.forward_features(x) 2025-09-07T08:02:43.6804339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6804403Z x = self.stages(x) 2025-09-07T08:02:43.6804577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 199, in forward 2025-09-07T08:02:43.6804663Z out = out * self.alpha + shortcut 2025-09-07T08:02:43.6804666Z 2025-09-07T08:02:43.6804765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6804955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6805021Z return mod(*inputs) 2025-09-07T08:02:43.6805198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6805275Z x = self.forward_features(x) 2025-09-07T08:02:43.6805478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6805547Z x = self.stages(x) 2025-09-07T08:02:43.6805718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 183, in forward 2025-09-07T08:02:43.6805804Z shortcut = self.downsample(out) 2025-09-07T08:02:43.6805982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 101, in forward 2025-09-07T08:02:43.6806054Z return self.conv(self.pool(x)) 2025-09-07T08:02:43.6806056Z 2025-09-07T08:02:43.6806145Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6806242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6806449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6806513Z return mod(*inputs) 2025-09-07T08:02:43.6806690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6806771Z x = self.forward_features(x) 2025-09-07T08:02:43.6806969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6807040Z x = self.stages(x) 2025-09-07T08:02:43.6807214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6807285Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6807288Z 2025-09-07T08:02:43.6807393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6807591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6807663Z return mod(*inputs) 2025-09-07T08:02:43.6807853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6807925Z x = self.forward_features(x) 2025-09-07T08:02:43.6808131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6808195Z x = self.stages(x) 2025-09-07T08:02:43.6808378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6808449Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6808452Z 2025-09-07T08:02:43.6808559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6808742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6808804Z return mod(*inputs) 2025-09-07T08:02:43.6808991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6809060Z x = self.forward_features(x) 2025-09-07T08:02:43.6809268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6809356Z x = self.stages(x) 2025-09-07T08:02:43.6809531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6809611Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6809614Z 2025-09-07T08:02:43.6809711Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6809899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6809964Z return mod(*inputs) 2025-09-07T08:02:43.6810138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6810217Z x = self.forward_features(x) 2025-09-07T08:02:43.6810415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6810486Z x = self.stages(x) 2025-09-07T08:02:43.6810662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6810739Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6810749Z 2025-09-07T08:02:43.6810843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6811029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6811100Z return mod(*inputs) 2025-09-07T08:02:43.6811273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6811350Z x = self.forward_features(x) 2025-09-07T08:02:43.6811550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6811613Z x = self.stages(x) 2025-09-07T08:02:43.6811796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6811884Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6811887Z 2025-09-07T08:02:43.6811997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6812180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6812244Z return mod(*inputs) 2025-09-07T08:02:43.6812430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6812499Z x = self.forward_features(x) 2025-09-07T08:02:43.6812705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6812767Z x = self.stages(x) 2025-09-07T08:02:43.6812941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6813036Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6813052Z 2025-09-07T08:02:43.6813151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6813339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6813403Z return mod(*inputs) 2025-09-07T08:02:43.6813576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6813651Z x = self.forward_features(x) 2025-09-07T08:02:43.6813851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6813919Z x = self.stages(x) 2025-09-07T08:02:43.6814095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6814173Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6814178Z 2025-09-07T08:02:43.6814273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6814458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6814530Z return mod(*inputs) 2025-09-07T08:02:43.6814706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6814796Z x = self.forward_features(x) 2025-09-07T08:02:43.6814999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6815062Z x = self.stages(x) 2025-09-07T08:02:43.6815247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6815316Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6815513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6815684Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6815687Z 2025-09-07T08:02:43.6815786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6815983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6816049Z return mod(*inputs) 2025-09-07T08:02:43.6816234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6816299Z x = self.forward_features(x) 2025-09-07T08:02:43.6816509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6816571Z x = self.stages(x) 2025-09-07T08:02:43.6816746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6816824Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6817012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6817198Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6817202Z 2025-09-07T08:02:43.6817281Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6817380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6817567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6817629Z return mod(*inputs) 2025-09-07T08:02:43.6817812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6817879Z x = self.forward_features(x) 2025-09-07T08:02:43.6818077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6818149Z x = self.stages(x) 2025-09-07T08:02:43.6818325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6818429Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6818645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6818719Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6818729Z 2025-09-07T08:02:43.6818827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6819009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6819081Z return mod(*inputs) 2025-09-07T08:02:43.6819255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6819331Z x = self.forward_features(x) 2025-09-07T08:02:43.6819528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6819593Z x = self.stages(x) 2025-09-07T08:02:43.6819775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6819856Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6820062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6820147Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6820149Z 2025-09-07T08:02:43.6820245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6820435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6820497Z return mod(*inputs) 2025-09-07T08:02:43.6820684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6820753Z x = self.forward_features(x) 2025-09-07T08:02:43.6820956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6821028Z x = self.stages(x) 2025-09-07T08:02:43.6821208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6821295Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6821497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6821570Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6821578Z 2025-09-07T08:02:43.6821676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6821862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6821933Z return mod(*inputs) 2025-09-07T08:02:43.6822110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6822182Z x = self.forward_features(x) 2025-09-07T08:02:43.6822386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6822447Z x = self.stages(x) 2025-09-07T08:02:43.6822648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6822729Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6822934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6823003Z return x * self.gate(x_se) 2025-09-07T08:02:43.6823194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6823302Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6823306Z 2025-09-07T08:02:43.6823403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6823591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6823676Z return mod(*inputs) 2025-09-07T08:02:43.6823866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6823946Z x = self.forward_features(x) 2025-09-07T08:02:43.6824148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6824218Z x = self.stages(x) 2025-09-07T08:02:43.6824391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6824472Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6824678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6824744Z return x * self.gate(x_se) 2025-09-07T08:02:43.6824945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6825050Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6825053Z 2025-09-07T08:02:43.6825156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6825340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6825404Z return mod(*inputs) 2025-09-07T08:02:43.6825604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6825674Z x = self.forward_features(x) 2025-09-07T08:02:43.6825882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6825945Z x = self.stages(x) 2025-09-07T08:02:43.6826120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 178, in forward 2025-09-07T08:02:43.6826198Z out = self.act1(x) * self.beta 2025-09-07T08:02:43.6826201Z 2025-09-07T08:02:43.6826299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6826491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6826555Z return mod(*inputs) 2025-09-07T08:02:43.6826728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6826806Z x = self.forward_features(x) 2025-09-07T08:02:43.6827005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6827075Z x = self.stages(x) 2025-09-07T08:02:43.6827250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6827330Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6827333Z 2025-09-07T08:02:43.6827431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6827613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6827688Z return mod(*inputs) 2025-09-07T08:02:43.6827869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6827958Z x = self.forward_features(x) 2025-09-07T08:02:43.6828160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6828224Z x = self.stages(x) 2025-09-07T08:02:43.6828408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 187, in forward 2025-09-07T08:02:43.6828478Z out = self.conv2(self.act2(out)) 2025-09-07T08:02:43.6828481Z 2025-09-07T08:02:43.6828584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6828765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6828827Z return mod(*inputs) 2025-09-07T08:02:43.6829013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6829096Z x = self.forward_features(x) 2025-09-07T08:02:43.6829319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6829381Z x = self.stages(x) 2025-09-07T08:02:43.6829556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6829641Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6829644Z 2025-09-07T08:02:43.6829740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6829931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6829995Z return mod(*inputs) 2025-09-07T08:02:43.6830178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6830244Z x = self.forward_features(x) 2025-09-07T08:02:43.6830446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6830518Z x = self.stages(x) 2025-09-07T08:02:43.6830694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 189, in forward 2025-09-07T08:02:43.6830777Z out = self.conv2b(self.act2b(out)) 2025-09-07T08:02:43.6830794Z 2025-09-07T08:02:43.6830892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6831071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6831141Z return mod(*inputs) 2025-09-07T08:02:43.6831313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6831390Z x = self.forward_features(x) 2025-09-07T08:02:43.6831587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6831649Z x = self.stages(x) 2025-09-07T08:02:43.6831832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6831903Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6831906Z 2025-09-07T08:02:43.6832010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6832191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6832255Z return mod(*inputs) 2025-09-07T08:02:43.6832435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6832504Z x = self.forward_features(x) 2025-09-07T08:02:43.6832710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6832774Z x = self.stages(x) 2025-09-07T08:02:43.6832955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6833027Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6833030Z 2025-09-07T08:02:43.6833128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6833329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6833394Z return mod(*inputs) 2025-09-07T08:02:43.6833577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6833644Z x = self.forward_features(x) 2025-09-07T08:02:43.6833842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6833911Z x = self.stages(x) 2025-09-07T08:02:43.6834085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6834161Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6834344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6834523Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6834549Z 2025-09-07T08:02:43.6834651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6834832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6834904Z return mod(*inputs) 2025-09-07T08:02:43.6835079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6835152Z x = self.forward_features(x) 2025-09-07T08:02:43.6835357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6835421Z x = self.stages(x) 2025-09-07T08:02:43.6835599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 192, in forward 2025-09-07T08:02:43.6835667Z out = self.conv3(self.act3(out)) 2025-09-07T08:02:43.6835860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/std_conv.py", line 102, in forward 2025-09-07T08:02:43.6836027Z return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups) 2025-09-07T08:02:43.6836030Z 2025-09-07T08:02:43.6836109Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6836230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6836409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6836478Z return mod(*inputs) 2025-09-07T08:02:43.6836656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6836725Z x = self.forward_features(x) 2025-09-07T08:02:43.6836931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6836993Z x = self.stages(x) 2025-09-07T08:02:43.6837175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6837260Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6837458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 42, in forward 2025-09-07T08:02:43.6837541Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:43.6837544Z 2025-09-07T08:02:43.6837638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6837824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6837886Z return mod(*inputs) 2025-09-07T08:02:43.6838067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6838135Z x = self.forward_features(x) 2025-09-07T08:02:43.6838334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6838408Z x = self.stages(x) 2025-09-07T08:02:43.6838586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6838688Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6838886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6838957Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6838961Z 2025-09-07T08:02:43.6839067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6839248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6839322Z return mod(*inputs) 2025-09-07T08:02:43.6839496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6839564Z x = self.forward_features(x) 2025-09-07T08:02:43.6839769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6839849Z x = self.stages(x) 2025-09-07T08:02:43.6840051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6840132Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6840335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 47, in forward 2025-09-07T08:02:43.6840414Z x_se = self.act(self.bn(x_se)) 2025-09-07T08:02:43.6840418Z 2025-09-07T08:02:43.6840513Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6840704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6840768Z return mod(*inputs) 2025-09-07T08:02:43.6840950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6841018Z x = self.forward_features(x) 2025-09-07T08:02:43.6841217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6841289Z x = self.stages(x) 2025-09-07T08:02:43.6841468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6841570Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6841769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6841837Z return x * self.gate(x_se) 2025-09-07T08:02:43.6842036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6842138Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6842142Z 2025-09-07T08:02:43.6842248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6842433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6842498Z return mod(*inputs) 2025-09-07T08:02:43.6842682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6842751Z x = self.forward_features(x) 2025-09-07T08:02:43.6842955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6843021Z x = self.stages(x) 2025-09-07T08:02:43.6843198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 194, in forward 2025-09-07T08:02:43.6843286Z out = self.attn_gain * self.attn_last(out) 2025-09-07T08:02:43.6843486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/squeeze_excite.py", line 49, in forward 2025-09-07T08:02:43.6843565Z return x * self.gate(x_se) 2025-09-07T08:02:43.6843759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/activations.py", line 57, in forward 2025-09-07T08:02:43.6843865Z return x.sigmoid_() if self.inplace else x.sigmoid() 2025-09-07T08:02:43.6843868Z 2025-09-07T08:02:43.6843969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6844172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6844248Z return mod(*inputs) 2025-09-07T08:02:43.6844424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6844502Z x = self.forward_features(x) 2025-09-07T08:02:43.6844699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 444, in forward_features 2025-09-07T08:02:43.6844762Z x = self.stages(x) 2025-09-07T08:02:43.6844949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 199, in forward 2025-09-07T08:02:43.6845023Z out = out * self.alpha + shortcut 2025-09-07T08:02:43.6845026Z 2025-09-07T08:02:43.6845145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6845346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6845410Z return mod(*inputs) 2025-09-07T08:02:43.6845592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6845660Z x = self.forward_features(x) 2025-09-07T08:02:43.6845871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 446, in forward_features 2025-09-07T08:02:43.6845937Z x = self.final_act(x) 2025-09-07T08:02:43.6845941Z 2025-09-07T08:02:43.6846041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6846222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6846283Z return mod(*inputs) 2025-09-07T08:02:43.6846466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 453, in forward 2025-09-07T08:02:43.6846537Z x = self.forward_features(x) 2025-09-07T08:02:43.6846747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 446, in forward_features 2025-09-07T08:02:43.6846816Z x = self.final_act(x) 2025-09-07T08:02:43.6846819Z 2025-09-07T08:02:43.6846912Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6847018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:43.6847198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:43.6847270Z return mod(*inputs) 2025-09-07T08:02:43.6847444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 454, in forward 2025-09-07T08:02:43.6847513Z x = self.forward_head(x) 2025-09-07T08:02:43.6847712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/nfnet.py", line 450, in forward_head 2025-09-07T08:02:43.6847849Z return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x) 2025-09-07T08:02:43.6848050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/classifier.py", line 128, in forward 2025-09-07T08:02:43.6848122Z x = self.global_pool(x) 2025-09-07T08:02:43.6848340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:02:43.6848412Z x = self.pool(x) 2025-09-07T08:02:43.6848415Z 2025-09-07T08:02:43.6848491Z cudagraph partition due to non gpu ops 2025-09-07T08:02:43.6848579Z cudagraph partition due to non gpu ops 2025-09-07T08:03:04.5327212Z pass 2025-09-07T08:03:04.5327627Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:05.8556988Z accuracy pass_rate=100.00% 2025-09-07T08:03:05.8557332Z calls_captured gmean=332.24x mean=440.917x 2025-09-07T08:03:05.8557606Z unique_graphs gmean=1.06x mean=1.083x 2025-09-07T08:03:05.8559277Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:03:05.8561493Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:03:05.8563652Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:03:05.8566016Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:03:05.8567874Z cudagraph_skips gmean=1.06x mean=1.083x 2025-09-07T08:03:05.8568689Z compilation_latency mean=38.097 seconds 2025-09-07T08:03:06.3617066Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cppwrapper-true* ]] 2025-09-07T08:03:06.3617602Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T08:03:06.3618461Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:03:07.0489437Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:03:07.0490284Z import pynvml # type: ignore[import] 2025-09-07T08:03:09.9146715Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:03:09.9147628Z import pynvml # type: ignore[import] 2025-09-07T08:03:12.0817858Z 2025-09-07T08:03:12.8009822Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:12.8010155Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:12.8010424Z cpu eval hrnet_w18 2025-09-07T08:03:13.5984684Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:13.8805312Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:14.2914461Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:05.4182625Z pass 2025-09-07T08:04:05.4183189Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:08.0652361Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:08.0653179Z import pynvml # type: ignore[import] 2025-09-07T08:04:10.2387869Z 2025-09-07T08:04:10.8161065Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:10.8161367Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:10.8161655Z cpu eval inception_v3 2025-09-07T08:04:11.4563124Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:11.5834967Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:11.7113458Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:39.8043687Z pass 2025-09-07T08:04:39.8044123Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:41.9361711Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:41.9362606Z import pynvml # type: ignore[import] 2025-09-07T08:04:44.1113389Z 2025-09-07T08:04:45.1172919Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:45.1173307Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:04:45.1174110Z cpu eval jx_nest_base 2025-09-07T08:04:45.6868007Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:45.8669161Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:46.0465751Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:25.1603504Z pass 2025-09-07T08:05:25.1603962Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:27.6131591Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:05:27.6132900Z import pynvml # type: ignore[import] 2025-09-07T08:05:29.7911376Z 2025-09-07T08:05:29.9005529Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:29.9005931Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:29.9006262Z cpu eval lcnet_050 2025-09-07T08:05:30.1056082Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:30.1289509Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:30.1502669Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:43.7239675Z pass 2025-09-07T08:05:43.7240116Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:45.6543671Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:05:45.6544487Z import pynvml # type: ignore[import] 2025-09-07T08:05:47.8287797Z 2025-09-07T08:05:48.0753793Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:48.0754105Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:48.0754353Z cpu eval levit_128 2025-09-07T08:05:48.1643961Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:48.2782344Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:48.3906068Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:39.3992317Z pass 2025-09-07T08:06:39.3997380Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:41.8940996Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:06:41.8941870Z import pynvml # type: ignore[import] 2025-09-07T08:06:44.0667890Z 2025-09-07T08:06:44.6341231Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:44.6341644Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:44.6341988Z cpu eval mixer_b16_224 2025-09-07T08:06:44.8884317Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:44.9718029Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:45.0420052Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:03.1407843Z pass 2025-09-07T08:07:03.1408380Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:05.2130127Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:07:05.2131140Z import pynvml # type: ignore[import] 2025-09-07T08:07:07.3883617Z 2025-09-07T08:07:07.7889168Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:07.7889478Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:07.7889733Z cpu eval mixnet_l 2025-09-07T08:07:09.6739818Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:09.7819499Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:09.8878379Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:42.2587400Z pass 2025-09-07T08:07:42.2587996Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:44.4326678Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:07:44.4327567Z import pynvml # type: ignore[import] 2025-09-07T08:07:46.6125746Z 2025-09-07T08:07:46.7925060Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:46.7925379Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:46.7925635Z cpu eval mnasnet_100 2025-09-07T08:07:47.8025783Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:47.8475443Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:47.8900114Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:02.8241606Z pass 2025-09-07T08:08:02.8242055Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:04.8144216Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:08:04.8145007Z import pynvml # type: ignore[import] 2025-09-07T08:08:06.9956050Z 2025-09-07T08:08:07.1697478Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:07.1697803Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:07.1698078Z cpu eval mobilenetv2_100 2025-09-07T08:08:07.9851840Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:08.0319359Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:08.0779906Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:23.3879780Z pass 2025-09-07T08:08:23.3881821Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:25.3551141Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:08:25.3551940Z import pynvml # type: ignore[import] 2025-09-07T08:08:27.5286349Z 2025-09-07T08:08:27.7192404Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:27.7192715Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:27.7193006Z cpu eval mobilenetv3_large_100 2025-09-07T08:08:28.4373687Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:28.4831311Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:28.5269898Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:45.4752801Z pass 2025-09-07T08:08:45.4753251Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:47.5245613Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:08:47.5246900Z import pynvml # type: ignore[import] 2025-09-07T08:08:49.6996924Z 2025-09-07T08:08:50.0723356Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:50.0723716Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:50.0724009Z cpu eval mobilevit_s 2025-09-07T08:08:50.6806988Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:50.7627167Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:50.8450903Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:28.4919888Z pass 2025-09-07T08:09:28.4920337Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:30.6142739Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:30.6143585Z import pynvml # type: ignore[import] 2025-09-07T08:09:32.7867237Z 2025-09-07T08:09:33.2542025Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:33.2542787Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:33.2543068Z cpu eval nfnet_l0 2025-09-07T08:09:33.9994162Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:34.0995969Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:34.1980058Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:51.8485702Z pass 2025-09-07T08:09:51.8486201Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:53.2415915Z accuracy pass_rate=100.00% 2025-09-07T08:09:53.2416280Z calls_captured gmean=331.65x mean=440.333x 2025-09-07T08:09:53.2417602Z unique_graphs gmean=1.06x mean=1.083x 2025-09-07T08:09:53.2419927Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:09:53.2422208Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:09:53.2424459Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:09:53.2426433Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:09:53.2428617Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:09:53.2429544Z compilation_latency mean=27.745 seconds 2025-09-07T08:09:53.7486640Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing_cudagraphs-true* ]] 2025-09-07T08:09:53.7487552Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T08:09:53.7488425Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *aotinductor-true* ]] 2025-09-07T08:09:53.7489268Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:09:53.7489551Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:09:53.7490410Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --freezing --inference --amp --export --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:09:54.4332865Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:54.4333658Z import pynvml # type: ignore[import] 2025-09-07T08:09:57.3041766Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:57.3042700Z import pynvml # type: ignore[import] 2025-09-07T08:09:59.4778862Z 2025-09-07T08:10:00.1987017Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:00.1987339Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:00.1987591Z cpu eval hrnet_w18 2025-09-07T08:10:01.0090530Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:01.3020438Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:01.7242662Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:17.8054492Z pass 2025-09-07T08:10:17.8054891Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:19.3673676Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:10:19.3674827Z import pynvml # type: ignore[import] 2025-09-07T08:10:21.5680798Z 2025-09-07T08:10:22.1515056Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:22.1515369Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:22.1515625Z cpu eval inception_v3 2025-09-07T08:10:22.7828703Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:22.9072128Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:23.0358026Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:33.3573696Z pass 2025-09-07T08:10:33.3574094Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:34.7737526Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:10:34.7738444Z import pynvml # type: ignore[import] 2025-09-07T08:10:36.9499264Z 2025-09-07T08:10:37.9867158Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:37.9867466Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:10:37.9867710Z cpu eval jx_nest_base 2025-09-07T08:10:38.5566992Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:38.7406854Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:38.9241744Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:49.0154907Z pass 2025-09-07T08:10:49.0155468Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:50.5242398Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:10:50.5243207Z import pynvml # type: ignore[import] 2025-09-07T08:10:52.7054707Z 2025-09-07T08:10:52.8190443Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:52.8190847Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:52.8191546Z cpu eval lcnet_050 2025-09-07T08:10:53.0223156Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:53.0460800Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:53.0685949Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:00.6085833Z pass 2025-09-07T08:11:00.6086219Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:01.9627798Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:11:01.9628696Z import pynvml # type: ignore[import] 2025-09-07T08:11:04.1450748Z 2025-09-07T08:11:04.3733211Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:04.3733531Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:04.3733801Z cpu eval levit_128 2025-09-07T08:11:04.4630985Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:04.5757597Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:04.8166131Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:14.1107800Z pass 2025-09-07T08:11:14.1108245Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:15.5623376Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:11:15.5624314Z import pynvml # type: ignore[import] 2025-09-07T08:11:17.7357394Z 2025-09-07T08:11:18.3040997Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:18.3041461Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:18.3041833Z cpu eval mixer_b16_224 2025-09-07T08:11:18.5586785Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:18.6335621Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:18.7040714Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:26.4928579Z pass 2025-09-07T08:11:26.4929052Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:27.9027194Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:11:27.9028402Z import pynvml # type: ignore[import] 2025-09-07T08:11:30.0728741Z 2025-09-07T08:11:30.4815343Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:30.4815691Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:30.4815956Z cpu eval mixnet_l 2025-09-07T08:11:32.4379994Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:32.5455753Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:32.6502172Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:42.3940015Z pass 2025-09-07T08:11:42.3940425Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:43.8121606Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:11:43.8122594Z import pynvml # type: ignore[import] 2025-09-07T08:11:45.9815213Z 2025-09-07T08:11:46.1502987Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:46.1503314Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:46.1503570Z cpu eval mnasnet_100 2025-09-07T08:11:47.1439143Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:47.1894663Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:47.2325341Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:55.4357714Z pass 2025-09-07T08:11:55.4358132Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:56.7546450Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:11:56.7547527Z import pynvml # type: ignore[import] 2025-09-07T08:11:58.9242365Z 2025-09-07T08:11:59.0906798Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:59.0907121Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:59.0907377Z cpu eval mobilenetv2_100 2025-09-07T08:11:59.9013324Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:59.9468868Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:59.9917293Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:08.2167701Z pass 2025-09-07T08:12:08.2168162Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:09.5545366Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:09.5546204Z import pynvml # type: ignore[import] 2025-09-07T08:12:11.7352069Z 2025-09-07T08:12:11.9285913Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:11.9286228Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:11.9286497Z cpu eval mobilenetv3_large_100 2025-09-07T08:12:12.6460065Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:12.6935396Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:12.7390565Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:21.1497321Z pass 2025-09-07T08:12:21.1497901Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:22.5062122Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:22.5062886Z import pynvml # type: ignore[import] 2025-09-07T08:12:24.6847728Z 2025-09-07T08:12:25.0554089Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:25.0554642Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:25.0555104Z cpu eval mobilevit_s 2025-09-07T08:12:25.6718795Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:25.7552285Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:25.8382846Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:35.5421569Z pass 2025-09-07T08:12:35.5421990Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:36.9532998Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:36.9533887Z import pynvml # type: ignore[import] 2025-09-07T08:12:39.1351262Z 2025-09-07T08:12:39.6010600Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:39.6011016Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:39.6011358Z cpu eval nfnet_l0 2025-09-07T08:12:40.3521808Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:40.4560359Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:40.5577186Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:50.6781900Z pass 2025-09-07T08:12:50.6782325Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:51.4123401Z accuracy pass_rate=100.00% 2025-09-07T08:12:51.4123812Z calls_captured gmean=409.62x mean=483.500x 2025-09-07T08:12:51.4124537Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T08:12:51.4126201Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:12:51.4128311Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:12:51.4130694Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:12:51.4132935Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:12:51.4135168Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:12:51.4136014Z compilation_latency mean=8.236 seconds 2025-09-07T08:12:51.9150523Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --freezing --inference --amp --export-aot-inductor --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:12:52.6052527Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:52.6053353Z import pynvml # type: ignore[import] 2025-09-07T08:12:55.4874022Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:55.4875014Z import pynvml # type: ignore[import] 2025-09-07T08:12:57.6604232Z 2025-09-07T08:12:58.3723220Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:58.3723676Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:58.3724025Z cpu eval hrnet_w18 2025-09-07T08:12:59.2027155Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:59.4885976Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:59.9010759Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:43.6539931Z pass 2025-09-07T08:13:43.6540725Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:46.1407708Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:13:46.1408650Z import pynvml # type: ignore[import] 2025-09-07T08:13:48.3098842Z 2025-09-07T08:13:48.8840244Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:48.8840556Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:48.8840819Z cpu eval inception_v3 2025-09-07T08:13:49.5202951Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:49.6456349Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:49.7701567Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:14.9888656Z pass 2025-09-07T08:14:14.9891325Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:16.8648292Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:14:16.8649066Z import pynvml # type: ignore[import] 2025-09-07T08:14:19.0431046Z 2025-09-07T08:14:20.0058335Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:20.0058834Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:20.0059245Z cpu eval jx_nest_base 2025-09-07T08:14:20.5858841Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:20.7685838Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:20.9528622Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:53.5152382Z pass 2025-09-07T08:14:53.5152856Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:55.6930992Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:14:55.6931894Z import pynvml # type: ignore[import] 2025-09-07T08:14:57.8638803Z 2025-09-07T08:14:57.9806260Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:57.9806701Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:57.9807027Z cpu eval lcnet_050 2025-09-07T08:14:58.1856453Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:58.2086820Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:58.2299006Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:10.8762084Z pass 2025-09-07T08:15:10.8763443Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:12.4523178Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:15:12.4524110Z import pynvml # type: ignore[import] 2025-09-07T08:15:14.6323915Z 2025-09-07T08:15:14.8518913Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:14.8519597Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:14.8519860Z cpu eval levit_128 2025-09-07T08:15:14.9424690Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:15.0544083Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:15.2953525Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:39.0670523Z pass 2025-09-07T08:15:39.0671031Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:40.9748106Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:15:40.9748908Z import pynvml # type: ignore[import] 2025-09-07T08:15:43.1474062Z 2025-09-07T08:15:43.7235883Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:43.7236293Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:43.7237054Z cpu eval mixer_b16_224 2025-09-07T08:15:43.9876721Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:44.0635560Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:44.1339952Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:59.5186900Z pass 2025-09-07T08:15:59.5187379Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:01.2818456Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:16:01.2819379Z import pynvml # type: ignore[import] 2025-09-07T08:16:03.4576132Z 2025-09-07T08:16:03.9138145Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:16:03.9138453Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:16:03.9138708Z cpu eval mixnet_l 2025-09-07T08:16:05.7717712Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:05.8793756Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:05.9835720Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:28.9064924Z pass 2025-09-07T08:16:28.9065414Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:30.9019924Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:16:30.9020933Z import pynvml # type: ignore[import] 2025-09-07T08:16:33.0714643Z 2025-09-07T08:16:33.2587413Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:16:33.2587733Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:16:33.2587980Z cpu eval mnasnet_100 2025-09-07T08:16:34.2576406Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:34.3017993Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:34.3439132Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:48.2629348Z pass 2025-09-07T08:16:48.2630754Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:49.9209611Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:16:49.9210518Z import pynvml # type: ignore[import] 2025-09-07T08:16:52.1006803Z 2025-09-07T08:16:52.2681852Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:16:52.2682178Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:16:52.2682443Z cpu eval mobilenetv2_100 2025-09-07T08:16:53.0719210Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:53.1177711Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:53.1628443Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:07.4620314Z pass 2025-09-07T08:17:07.4621153Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:09.1743283Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:17:09.1744126Z import pynvml # type: ignore[import] 2025-09-07T08:17:11.3542901Z 2025-09-07T08:17:11.5445414Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:11.5445726Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:11.5445972Z cpu eval mobilenetv3_large_100 2025-09-07T08:17:12.2625487Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:12.3094663Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:12.3542231Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:27.5806339Z pass 2025-09-07T08:17:27.5806744Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:29.2822103Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:17:29.2823006Z import pynvml # type: ignore[import] 2025-09-07T08:17:31.4541576Z 2025-09-07T08:17:31.8359974Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:31.8360348Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:31.8360671Z cpu eval mobilevit_s 2025-09-07T08:17:32.4438238Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:32.5269586Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:32.6101626Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:08.5536111Z pass 2025-09-07T08:18:08.5536549Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:10.4394372Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:18:10.4395284Z import pynvml # type: ignore[import] 2025-09-07T08:18:12.6158386Z 2025-09-07T08:18:13.0819682Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:13.0820035Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:13.0820788Z cpu eval nfnet_l0 2025-09-07T08:18:13.8114226Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:13.9137147Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:14.0141024Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:30.2098519Z pass 2025-09-07T08:18:30.2098998Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:31.2503910Z accuracy pass_rate=100.00% 2025-09-07T08:18:31.2504261Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T08:18:31.2504518Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T08:18:31.2504808Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:18:31.2506487Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:18:31.2508759Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:18:31.2510977Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:18:31.2513188Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:18:31.2514182Z compilation_latency mean=0.000 seconds 2025-09-07T08:18:31.7564909Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *maxautotune-true* ]] 2025-09-07T08:18:31.7565799Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cudagraphs_low_precision-true* ]] 2025-09-07T08:18:31.7566355Z + for target in "${targets[@]}" 2025-09-07T08:18:31.7566570Z + target_flag=('--performance') 2025-09-07T08:18:31.7566763Z + local target_flag 2025-09-07T08:18:31.7566950Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:18:31.7567213Z + target_flag+=(--cold-start-latency) 2025-09-07T08:18:31.7567708Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T08:18:31.7568172Z + target_flag+=(--freezing) 2025-09-07T08:18:31.7568620Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T08:18:31.7569737Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.csv 2025-09-07T08:18:32.4764648Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:18:32.4765565Z import pynvml # type: ignore[import] 2025-09-07T08:18:35.3468909Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:18:35.3469827Z import pynvml # type: ignore[import] 2025-09-07T08:18:37.5341108Z 2025-09-07T08:18:38.8994178Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:38.8994496Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:18:38.8994764Z cpu eval hrnet_w18 2025-09-07T08:19:34.4862898Z 2025-09-07T08:19:34.9097690Z running benchmark: 0% 0/30 [00:00 2025-09-07T08:45:21.3174148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3174301Z 2025-09-07T08:45:21.3174414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3174769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3175073Z return mod(*inputs) 2025-09-07T08:45:21.3175378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3175703Z x = self.forward_features(x) 2025-09-07T08:45:21.3176039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3176375Z x = self.blocks(x) 2025-09-07T08:45:21.3176693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3177035Z x = self.conv_pw(x) 2025-09-07T08:45:21.3177333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3177685Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3178059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3178454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3178629Z 2025-09-07T08:45:21.3178729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3179067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3179363Z return mod(*inputs) 2025-09-07T08:45:21.3179666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3179999Z x = self.forward_features(x) 2025-09-07T08:45:21.3180341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3180682Z x = self.blocks(x) 2025-09-07T08:45:21.3180991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3181324Z x = self.conv_pw(x) 2025-09-07T08:45:21.3181814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3182181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3182542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3182913Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3183074Z 2025-09-07T08:45:21.3183175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3183534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3183854Z return mod(*inputs) 2025-09-07T08:45:21.3184190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3184532Z x = self.forward_features(x) 2025-09-07T08:45:21.3184922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3185287Z x = self.blocks(x) 2025-09-07T08:45:21.3185608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3185948Z x = self.conv_pw(x) 2025-09-07T08:45:21.3186252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3186612Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3186983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3187343Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3187503Z 2025-09-07T08:45:21.3187589Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3187823Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3188064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3188419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3188736Z return mod(*inputs) 2025-09-07T08:45:21.3189047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3189383Z x = self.forward_features(x) 2025-09-07T08:45:21.3189731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3190084Z x = self.blocks(x) 2025-09-07T08:45:21.3190407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3190749Z x = self.conv_pw(x) 2025-09-07T08:45:21.3191064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3191427Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3191538Z 2025-09-07T08:45:21.3191665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3192048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3192365Z return mod(*inputs) 2025-09-07T08:45:21.3192685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3193022Z x = self.forward_features(x) 2025-09-07T08:45:21.3193373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3193735Z x = self.blocks(x) 2025-09-07T08:45:21.3194058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3194391Z x = self.bn1(x) 2025-09-07T08:45:21.3194678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3195009Z x = self.act(x) 2025-09-07T08:45:21.3195110Z 2025-09-07T08:45:21.3195216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3195574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3195875Z return mod(*inputs) 2025-09-07T08:45:21.3196188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3196528Z x = self.forward_features(x) 2025-09-07T08:45:21.3196870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3197212Z x = self.blocks(x) 2025-09-07T08:45:21.3197523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3197874Z x = self.conv_dw(x) 2025-09-07T08:45:21.3198203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3198567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3198933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3199302Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3199463Z 2025-09-07T08:45:21.3199568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3199925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3200238Z return mod(*inputs) 2025-09-07T08:45:21.3200542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3200877Z x = self.forward_features(x) 2025-09-07T08:45:21.3201231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3201582Z x = self.blocks(x) 2025-09-07T08:45:21.3201933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3202274Z x = self.conv_dw(x) 2025-09-07T08:45:21.3202577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3202941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3203311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3203670Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3203829Z 2025-09-07T08:45:21.3203934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3204291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3204628Z return mod(*inputs) 2025-09-07T08:45:21.3204977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3205319Z x = self.forward_features(x) 2025-09-07T08:45:21.3205667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3206019Z x = self.blocks(x) 2025-09-07T08:45:21.3206341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3206677Z x = self.conv_dw(x) 2025-09-07T08:45:21.3206971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3207331Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3207696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3208064Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3208215Z 2025-09-07T08:45:21.3208320Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3208674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3208989Z return mod(*inputs) 2025-09-07T08:45:21.3209304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3209635Z x = self.forward_features(x) 2025-09-07T08:45:21.3209977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3210330Z x = self.blocks(x) 2025-09-07T08:45:21.3210653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3210995Z x = self.conv_dw(x) 2025-09-07T08:45:21.3211309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3211677Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3212047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3212420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3212572Z 2025-09-07T08:45:21.3212685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3213034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3213352Z return mod(*inputs) 2025-09-07T08:45:21.3213664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3214005Z x = self.forward_features(x) 2025-09-07T08:45:21.3214354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3214707Z x = self.blocks(x) 2025-09-07T08:45:21.3215041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3215387Z x = self.conv_dw(x) 2025-09-07T08:45:21.3215696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3216047Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3216421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3216787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3216938Z 2025-09-07T08:45:21.3217049Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3217401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3217732Z return mod(*inputs) 2025-09-07T08:45:21.3219604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3219977Z x = self.forward_features(x) 2025-09-07T08:45:21.3220324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3220667Z x = self.blocks(x) 2025-09-07T08:45:21.3220989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3221334Z x = self.conv_dw(x) 2025-09-07T08:45:21.3221638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3221999Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3222357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3222729Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3222893Z 2025-09-07T08:45:21.3222977Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3223201Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3223403Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3223638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3223990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3224304Z return mod(*inputs) 2025-09-07T08:45:21.3224622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3224943Z x = self.forward_features(x) 2025-09-07T08:45:21.3225291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3225639Z x = self.blocks(x) 2025-09-07T08:45:21.3225986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3226321Z x = self.conv_dw(x) 2025-09-07T08:45:21.3226637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3226973Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3227087Z 2025-09-07T08:45:21.3227201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3227564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3227883Z return mod(*inputs) 2025-09-07T08:45:21.3228213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3228557Z x = self.forward_features(x) 2025-09-07T08:45:21.3228917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3229263Z x = self.blocks(x) 2025-09-07T08:45:21.3229599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:45:21.3229949Z x = self.bn2(x) 2025-09-07T08:45:21.3230249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3230574Z x = self.act(x) 2025-09-07T08:45:21.3230668Z 2025-09-07T08:45:21.3230774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3231138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3231458Z return mod(*inputs) 2025-09-07T08:45:21.3231781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3232113Z x = self.forward_features(x) 2025-09-07T08:45:21.3232468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3232838Z x = self.blocks(x) 2025-09-07T08:45:21.3233183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3233544Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3233848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3234208Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3234572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3234940Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3235093Z 2025-09-07T08:45:21.3235203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3235544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3235857Z return mod(*inputs) 2025-09-07T08:45:21.3236172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3236514Z x = self.forward_features(x) 2025-09-07T08:45:21.3236851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3237219Z x = self.blocks(x) 2025-09-07T08:45:21.3237540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3237879Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3238189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3238548Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3238913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3239281Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3239448Z 2025-09-07T08:45:21.3239564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3239916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3240223Z return mod(*inputs) 2025-09-07T08:45:21.3240538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3240872Z x = self.forward_features(x) 2025-09-07T08:45:21.3241228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3241568Z x = self.blocks(x) 2025-09-07T08:45:21.3241901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3242244Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3242559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3242931Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3243305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3243673Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3243838Z 2025-09-07T08:45:21.3243942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3244289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3244600Z return mod(*inputs) 2025-09-07T08:45:21.3244919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3245259Z x = self.forward_features(x) 2025-09-07T08:45:21.3245617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3245989Z x = self.blocks(x) 2025-09-07T08:45:21.3246319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3246686Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3247000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3247360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3247726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3248093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3248252Z 2025-09-07T08:45:21.3248334Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3248549Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3248787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3249132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3249451Z return mod(*inputs) 2025-09-07T08:45:21.3249773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3250108Z x = self.forward_features(x) 2025-09-07T08:45:21.3250448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3250798Z x = self.blocks(x) 2025-09-07T08:45:21.3251120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3251462Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3251777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3252093Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3252212Z 2025-09-07T08:45:21.3252316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3252685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3253001Z return mod(*inputs) 2025-09-07T08:45:21.3253308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3253647Z x = self.forward_features(x) 2025-09-07T08:45:21.3253995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3254348Z x = self.blocks(x) 2025-09-07T08:45:21.3254667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:45:21.3254988Z x = self.bn3(x) 2025-09-07T08:45:21.3255285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:45:21.3255595Z x = F.batch_norm( 2025-09-07T08:45:21.3255689Z 2025-09-07T08:45:21.3255799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3256140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3256446Z return mod(*inputs) 2025-09-07T08:45:21.3256755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3257094Z x = self.forward_features(x) 2025-09-07T08:45:21.3257432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3257757Z x = self.blocks(x) 2025-09-07T08:45:21.3258075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3258407Z x = self.conv_pw(x) 2025-09-07T08:45:21.3258708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3259101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3259472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3259868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3260025Z 2025-09-07T08:45:21.3260123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3260465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3260763Z return mod(*inputs) 2025-09-07T08:45:21.3261068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3261393Z x = self.forward_features(x) 2025-09-07T08:45:21.3261733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3262081Z x = self.blocks(x) 2025-09-07T08:45:21.3262395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3262735Z x = self.conv_pw(x) 2025-09-07T08:45:21.3263036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3263388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3263739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3264092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3264247Z 2025-09-07T08:45:21.3264346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3264686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3264993Z return mod(*inputs) 2025-09-07T08:45:21.3265284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3265627Z x = self.forward_features(x) 2025-09-07T08:45:21.3265970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3266314Z x = self.blocks(x) 2025-09-07T08:45:21.3266626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3266948Z x = self.conv_pw(x) 2025-09-07T08:45:21.3267248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3267598Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3267960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3268308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3268467Z 2025-09-07T08:45:21.3268571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3268917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3269228Z return mod(*inputs) 2025-09-07T08:45:21.3269530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3269850Z x = self.forward_features(x) 2025-09-07T08:45:21.3270190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3270539Z x = self.blocks(x) 2025-09-07T08:45:21.3270858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3271183Z x = self.conv_pw(x) 2025-09-07T08:45:21.3271478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3271828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3272228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3272596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3272745Z 2025-09-07T08:45:21.3272824Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3273037Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3273272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3273615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3273931Z return mod(*inputs) 2025-09-07T08:45:21.3274230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3274562Z x = self.forward_features(x) 2025-09-07T08:45:21.3274904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3275248Z x = self.blocks(x) 2025-09-07T08:45:21.3275557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3275894Z x = self.conv_pw(x) 2025-09-07T08:45:21.3276191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3276505Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3276613Z 2025-09-07T08:45:21.3276726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3277065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3277368Z return mod(*inputs) 2025-09-07T08:45:21.3277670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3277990Z x = self.forward_features(x) 2025-09-07T08:45:21.3278336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3278676Z x = self.blocks(x) 2025-09-07T08:45:21.3278994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3279321Z x = self.bn1(x) 2025-09-07T08:45:21.3279606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3279906Z x = self.act(x) 2025-09-07T08:45:21.3280003Z 2025-09-07T08:45:21.3280103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3280454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3280760Z return mod(*inputs) 2025-09-07T08:45:21.3281056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3281393Z x = self.forward_features(x) 2025-09-07T08:45:21.3281797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3282154Z x = self.blocks(x) 2025-09-07T08:45:21.3282472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:45:21.3282814Z x = self.bn2(x) 2025-09-07T08:45:21.3283106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3283421Z x = self.act(x) 2025-09-07T08:45:21.3283511Z 2025-09-07T08:45:21.3283621Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3283961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3284277Z return mod(*inputs) 2025-09-07T08:45:21.3284588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3284948Z x = self.forward_features(x) 2025-09-07T08:45:21.3285300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3285665Z x = self.blocks(x) 2025-09-07T08:45:21.3285982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:45:21.3286314Z x = self.bn2(x) 2025-09-07T08:45:21.3286601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3286899Z x = self.act(x) 2025-09-07T08:45:21.3286998Z 2025-09-07T08:45:21.3287101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3287442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3287753Z return mod(*inputs) 2025-09-07T08:45:21.3288051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3288380Z x = self.forward_features(x) 2025-09-07T08:45:21.3288726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3289065Z x = self.blocks(x) 2025-09-07T08:45:21.3289379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3289708Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3290014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3290371Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3290732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3291096Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3291245Z 2025-09-07T08:45:21.3291350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3291717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3292030Z return mod(*inputs) 2025-09-07T08:45:21.3292339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3292659Z x = self.forward_features(x) 2025-09-07T08:45:21.3292999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3293337Z x = self.blocks(x) 2025-09-07T08:45:21.3293652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3293992Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3294292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3294647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3295010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3295370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3295519Z 2025-09-07T08:45:21.3295620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3295966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3296275Z return mod(*inputs) 2025-09-07T08:45:21.3296582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3296910Z x = self.forward_features(x) 2025-09-07T08:45:21.3297243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3297590Z x = self.blocks(x) 2025-09-07T08:45:21.3297911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3298266Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3298598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3298951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3299309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3299662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3299811Z 2025-09-07T08:45:21.3299921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3300257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3300567Z return mod(*inputs) 2025-09-07T08:45:21.3300871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3301206Z x = self.forward_features(x) 2025-09-07T08:45:21.3301546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3301879Z x = self.blocks(x) 2025-09-07T08:45:21.3302196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3302528Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3302832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3303176Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3303532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3303891Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3304038Z 2025-09-07T08:45:21.3304126Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3304366Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3304591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3304924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3305227Z return mod(*inputs) 2025-09-07T08:45:21.3305528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3305845Z x = self.forward_features(x) 2025-09-07T08:45:21.3306180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3306513Z x = self.blocks(x) 2025-09-07T08:45:21.3306825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3307153Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3307447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3307767Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3307879Z 2025-09-07T08:45:21.3307983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3308319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3308619Z return mod(*inputs) 2025-09-07T08:45:21.3308924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3309252Z x = self.forward_features(x) 2025-09-07T08:45:21.3309593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3309933Z x = self.blocks(x) 2025-09-07T08:45:21.3310239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3310579Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3310730Z 2025-09-07T08:45:21.3310835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3311189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3311502Z return mod(*inputs) 2025-09-07T08:45:21.3311807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3312132Z x = self.forward_features(x) 2025-09-07T08:45:21.3312473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3312823Z x = self.blocks(x) 2025-09-07T08:45:21.3313128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3313459Z x = self.bn1(x) 2025-09-07T08:45:21.3313744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3314051Z x = self.act(x) 2025-09-07T08:45:21.3314144Z 2025-09-07T08:45:21.3314246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3314591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3314897Z return mod(*inputs) 2025-09-07T08:45:21.3315203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3315532Z x = self.forward_features(x) 2025-09-07T08:45:21.3315868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3316209Z x = self.blocks(x) 2025-09-07T08:45:21.3316523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3316853Z x = self.bn1(x) 2025-09-07T08:45:21.3317132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3318041Z x = self.act(x) 2025-09-07T08:45:21.3318145Z 2025-09-07T08:45:21.3318249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3318594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3318905Z return mod(*inputs) 2025-09-07T08:45:21.3319201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3319528Z x = self.forward_features(x) 2025-09-07T08:45:21.3319868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3320211Z x = self.blocks(x) 2025-09-07T08:45:21.3320520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3320853Z x = self.conv_dw(x) 2025-09-07T08:45:21.3321154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3321509Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3321872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3322223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3322380Z 2025-09-07T08:45:21.3322481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3322821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3323127Z return mod(*inputs) 2025-09-07T08:45:21.3323423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3323749Z x = self.forward_features(x) 2025-09-07T08:45:21.3324094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3324454Z x = self.blocks(x) 2025-09-07T08:45:21.3324783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3325128Z x = self.conv_dw(x) 2025-09-07T08:45:21.3325425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3325778Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3326138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3326499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3326647Z 2025-09-07T08:45:21.3326749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3327090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3327400Z return mod(*inputs) 2025-09-07T08:45:21.3327706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3328031Z x = self.forward_features(x) 2025-09-07T08:45:21.3328370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3328709Z x = self.blocks(x) 2025-09-07T08:45:21.3329026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3329357Z x = self.conv_dw(x) 2025-09-07T08:45:21.3329643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3329991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3330344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3330718Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3330869Z 2025-09-07T08:45:21.3330970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3331314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3331618Z return mod(*inputs) 2025-09-07T08:45:21.3331921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3332246Z x = self.forward_features(x) 2025-09-07T08:45:21.3332579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3332917Z x = self.blocks(x) 2025-09-07T08:45:21.3333234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3333562Z x = self.conv_dw(x) 2025-09-07T08:45:21.3333849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3334197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3334551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3334912Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3335057Z 2025-09-07T08:45:21.3335166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3335493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3335796Z return mod(*inputs) 2025-09-07T08:45:21.3336102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3336428Z x = self.forward_features(x) 2025-09-07T08:45:21.3336764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3337112Z x = self.blocks(x) 2025-09-07T08:45:21.3337443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3337790Z x = self.conv_dw(x) 2025-09-07T08:45:21.3338084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3338426Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3338781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3339138Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3339286Z 2025-09-07T08:45:21.3339394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3339732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3366993Z return mod(*inputs) 2025-09-07T08:45:21.3367415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3367784Z x = self.forward_features(x) 2025-09-07T08:45:21.3368147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3368499Z x = self.blocks(x) 2025-09-07T08:45:21.3368834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3369173Z x = self.conv_dw(x) 2025-09-07T08:45:21.3369472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3369859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3370234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3370665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3370827Z 2025-09-07T08:45:21.3370952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3371302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3371622Z return mod(*inputs) 2025-09-07T08:45:21.3371934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3372269Z x = self.forward_features(x) 2025-09-07T08:45:21.3372604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3372947Z x = self.blocks(x) 2025-09-07T08:45:21.3373269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3373609Z x = self.conv_dw(x) 2025-09-07T08:45:21.3373902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3374260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3374620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3374974Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3375121Z 2025-09-07T08:45:21.3375233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3375564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3375871Z return mod(*inputs) 2025-09-07T08:45:21.3376181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3376509Z x = self.forward_features(x) 2025-09-07T08:45:21.3376847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3377220Z x = self.blocks(x) 2025-09-07T08:45:21.3377565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3377919Z x = self.conv_dw(x) 2025-09-07T08:45:21.3378215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3378557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3378915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3379272Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3379429Z 2025-09-07T08:45:21.3379516Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3379735Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3379933Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3380141Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3380376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3380726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3381035Z return mod(*inputs) 2025-09-07T08:45:21.3381329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3381720Z x = self.forward_features(x) 2025-09-07T08:45:21.3382064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3382407Z x = self.blocks(x) 2025-09-07T08:45:21.3382719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3383057Z x = self.conv_dw(x) 2025-09-07T08:45:21.3383355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3383682Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3383848Z 2025-09-07T08:45:21.3383937Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3384170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3384515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3384826Z return mod(*inputs) 2025-09-07T08:45:21.3385136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3385457Z x = self.forward_features(x) 2025-09-07T08:45:21.3385801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3386144Z x = self.blocks(x) 2025-09-07T08:45:21.3386461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3386795Z x = self.se(x) 2025-09-07T08:45:21.3387102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3387452Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3387578Z 2025-09-07T08:45:21.3387685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3388026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3388329Z return mod(*inputs) 2025-09-07T08:45:21.3388637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3388963Z x = self.forward_features(x) 2025-09-07T08:45:21.3389302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3389642Z x = self.blocks(x) 2025-09-07T08:45:21.3389948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3390315Z x = self.se(x) 2025-09-07T08:45:21.3390641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3391002Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3391108Z 2025-09-07T08:45:21.3391209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3391552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3391856Z return mod(*inputs) 2025-09-07T08:45:21.3392162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3392490Z x = self.forward_features(x) 2025-09-07T08:45:21.3392818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3393155Z x = self.blocks(x) 2025-09-07T08:45:21.3393472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3393801Z x = self.se(x) 2025-09-07T08:45:21.3394099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3394435Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3394552Z 2025-09-07T08:45:21.3394652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3394998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3395305Z return mod(*inputs) 2025-09-07T08:45:21.3395606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3395933Z x = self.forward_features(x) 2025-09-07T08:45:21.3396275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3396614Z x = self.blocks(x) 2025-09-07T08:45:21.3396935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3397267Z x = self.se(x) 2025-09-07T08:45:21.3397569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3397905Z return x * self.gate(x_se) 2025-09-07T08:45:21.3398016Z 2025-09-07T08:45:21.3398124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3398456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3398769Z return mod(*inputs) 2025-09-07T08:45:21.3399077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3399404Z x = self.forward_features(x) 2025-09-07T08:45:21.3399733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3400077Z x = self.blocks(x) 2025-09-07T08:45:21.3400389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3400721Z x = self.se(x) 2025-09-07T08:45:21.3401025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3401354Z return x * self.gate(x_se) 2025-09-07T08:45:21.3401472Z 2025-09-07T08:45:21.3401571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3401914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3402222Z return mod(*inputs) 2025-09-07T08:45:21.3402518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3402848Z x = self.forward_features(x) 2025-09-07T08:45:21.3403185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3403560Z x = self.blocks(x) 2025-09-07T08:45:21.3403905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3404224Z x = self.se(x) 2025-09-07T08:45:21.3404531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3404867Z return x * self.gate(x_se) 2025-09-07T08:45:21.3404978Z 2025-09-07T08:45:21.3405085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3405419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3405724Z return mod(*inputs) 2025-09-07T08:45:21.3406031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3406358Z x = self.forward_features(x) 2025-09-07T08:45:21.3406701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3407035Z x = self.blocks(x) 2025-09-07T08:45:21.3407353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3407686Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3407791Z 2025-09-07T08:45:21.3407896Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3408227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3408533Z return mod(*inputs) 2025-09-07T08:45:21.3408833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3409159Z x = self.forward_features(x) 2025-09-07T08:45:21.3409495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3409858Z x = self.blocks(x) 2025-09-07T08:45:21.3410175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3410510Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3410615Z 2025-09-07T08:45:21.3410722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3411055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3411361Z return mod(*inputs) 2025-09-07T08:45:21.3411663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3411991Z x = self.forward_features(x) 2025-09-07T08:45:21.3412329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3412656Z x = self.blocks(x) 2025-09-07T08:45:21.3412975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3413307Z x = self.conv_pw(x) 2025-09-07T08:45:21.3413611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3413957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3414317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3414677Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3414838Z 2025-09-07T08:45:21.3414939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3415280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3415577Z return mod(*inputs) 2025-09-07T08:45:21.3415881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3416225Z x = self.forward_features(x) 2025-09-07T08:45:21.3416579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3416935Z x = self.blocks(x) 2025-09-07T08:45:21.3417239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3417572Z x = self.conv_pw(x) 2025-09-07T08:45:21.3417867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3418220Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3418570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3418930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3419086Z 2025-09-07T08:45:21.3419194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3419538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3419851Z return mod(*inputs) 2025-09-07T08:45:21.3420152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3420483Z x = self.forward_features(x) 2025-09-07T08:45:21.3420825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3421166Z x = self.blocks(x) 2025-09-07T08:45:21.3421474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3421807Z x = self.conv_pw(x) 2025-09-07T08:45:21.3422104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3422452Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3422828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3423178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3423339Z 2025-09-07T08:45:21.3423440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3423778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3424087Z return mod(*inputs) 2025-09-07T08:45:21.3424393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3424716Z x = self.forward_features(x) 2025-09-07T08:45:21.3425057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3425394Z x = self.blocks(x) 2025-09-07T08:45:21.3425705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3426033Z x = self.conv_pw(x) 2025-09-07T08:45:21.3426333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3426682Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3427039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3427393Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3427541Z 2025-09-07T08:45:21.3427620Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3427830Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3428061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3428400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3428703Z return mod(*inputs) 2025-09-07T08:45:21.3429024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3429383Z x = self.forward_features(x) 2025-09-07T08:45:21.3429724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3430065Z x = self.blocks(x) 2025-09-07T08:45:21.3430373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3430709Z x = self.conv_pw(x) 2025-09-07T08:45:21.3431006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3431324Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3431434Z 2025-09-07T08:45:21.3431537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3431878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3432189Z return mod(*inputs) 2025-09-07T08:45:21.3432493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3432823Z x = self.forward_features(x) 2025-09-07T08:45:21.3433156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3433501Z x = self.blocks(x) 2025-09-07T08:45:21.3433819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3434156Z x = self.conv_dw(x) 2025-09-07T08:45:21.3434447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3434799Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3435161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3435539Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3435692Z 2025-09-07T08:45:21.3435807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3436143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3436454Z return mod(*inputs) 2025-09-07T08:45:21.3436758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3437086Z x = self.forward_features(x) 2025-09-07T08:45:21.3437419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3437763Z x = self.blocks(x) 2025-09-07T08:45:21.3438082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3438414Z x = self.conv_dw(x) 2025-09-07T08:45:21.3438719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3439065Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3439424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3439786Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3439938Z 2025-09-07T08:45:21.3440049Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3440389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3440693Z return mod(*inputs) 2025-09-07T08:45:21.3440996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3441324Z x = self.forward_features(x) 2025-09-07T08:45:21.3441668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3442016Z x = self.blocks(x) 2025-09-07T08:45:21.3442656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3443018Z x = self.conv_dw(x) 2025-09-07T08:45:21.3443321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3443671Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3444023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3444381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3444537Z 2025-09-07T08:45:21.3444640Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3444981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3445286Z return mod(*inputs) 2025-09-07T08:45:21.3445592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3445919Z x = self.forward_features(x) 2025-09-07T08:45:21.3446257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3446594Z x = self.blocks(x) 2025-09-07T08:45:21.3446900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3447235Z x = self.conv_dw(x) 2025-09-07T08:45:21.3447531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3447880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3448227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3448603Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3448763Z 2025-09-07T08:45:21.3448846Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3449062Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3449295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3449628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3449943Z return mod(*inputs) 2025-09-07T08:45:21.3450252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3450584Z x = self.forward_features(x) 2025-09-07T08:45:21.3450917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3451262Z x = self.blocks(x) 2025-09-07T08:45:21.3451577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3451913Z x = self.conv_dw(x) 2025-09-07T08:45:21.3452218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3452527Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3452644Z 2025-09-07T08:45:21.3452721Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3453664Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3454007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3454316Z return mod(*inputs) 2025-09-07T08:45:21.3454613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3454940Z x = self.forward_features(x) 2025-09-07T08:45:21.3455283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3455647Z x = self.blocks(x) 2025-09-07T08:45:21.3455997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3456366Z x = self.se(x) 2025-09-07T08:45:21.3456685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3457036Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3457162Z 2025-09-07T08:45:21.3457270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3457609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3457919Z return mod(*inputs) 2025-09-07T08:45:21.3458230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3458565Z x = self.forward_features(x) 2025-09-07T08:45:21.3458908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3459245Z x = self.blocks(x) 2025-09-07T08:45:21.3459556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3459884Z x = self.se(x) 2025-09-07T08:45:21.3460177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3460522Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3460630Z 2025-09-07T08:45:21.3460730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3461068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3461370Z return mod(*inputs) 2025-09-07T08:45:21.3461676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3462002Z x = self.forward_features(x) 2025-09-07T08:45:21.3462351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3462688Z x = self.blocks(x) 2025-09-07T08:45:21.3463002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3463325Z x = self.se(x) 2025-09-07T08:45:21.3463617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3463950Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3464062Z 2025-09-07T08:45:21.3464162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3464497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3464801Z return mod(*inputs) 2025-09-07T08:45:21.3465094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3465417Z x = self.forward_features(x) 2025-09-07T08:45:21.3465751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3466092Z x = self.blocks(x) 2025-09-07T08:45:21.3466392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3466719Z x = self.se(x) 2025-09-07T08:45:21.3467022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3467354Z return x * self.gate(x_se) 2025-09-07T08:45:21.3467461Z 2025-09-07T08:45:21.3467562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3467892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3468195Z return mod(*inputs) 2025-09-07T08:45:21.3468498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3468838Z x = self.forward_features(x) 2025-09-07T08:45:21.3469187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3469544Z x = self.blocks(x) 2025-09-07T08:45:21.3469852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3470178Z x = self.se(x) 2025-09-07T08:45:21.3470476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3470800Z return x * self.gate(x_se) 2025-09-07T08:45:21.3470917Z 2025-09-07T08:45:21.3471015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3471353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3471657Z return mod(*inputs) 2025-09-07T08:45:21.3471955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3472283Z x = self.forward_features(x) 2025-09-07T08:45:21.3472622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3472958Z x = self.blocks(x) 2025-09-07T08:45:21.3473266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3473587Z x = self.se(x) 2025-09-07T08:45:21.3473886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3474217Z return x * self.gate(x_se) 2025-09-07T08:45:21.3474325Z 2025-09-07T08:45:21.3474414Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3474636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3475008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3475315Z return mod(*inputs) 2025-09-07T08:45:21.3475625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3475960Z x = self.forward_features(x) 2025-09-07T08:45:21.3476298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3476640Z x = self.blocks(x) 2025-09-07T08:45:21.3476956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3477296Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3477597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3477956Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3478323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3478689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3478845Z 2025-09-07T08:45:21.3478957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3479294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3479599Z return mod(*inputs) 2025-09-07T08:45:21.3479902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3480236Z x = self.forward_features(x) 2025-09-07T08:45:21.3480572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3480914Z x = self.blocks(x) 2025-09-07T08:45:21.3481230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3481608Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3481938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3482304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3482658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3483014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3483161Z 2025-09-07T08:45:21.3483249Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3483477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3483807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3484113Z return mod(*inputs) 2025-09-07T08:45:21.3484416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3484742Z x = self.forward_features(x) 2025-09-07T08:45:21.3485074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3485412Z x = self.blocks(x) 2025-09-07T08:45:21.3485722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3486054Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3486346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3486695Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3487050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3487408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3487555Z 2025-09-07T08:45:21.3487663Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3488022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3488334Z return mod(*inputs) 2025-09-07T08:45:21.3488645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3488976Z x = self.forward_features(x) 2025-09-07T08:45:21.3489322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3489652Z x = self.blocks(x) 2025-09-07T08:45:21.3489969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3490303Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3490605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3490951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3491313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3491670Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3491819Z 2025-09-07T08:45:21.3491909Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3492117Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3492340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3492682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3492989Z return mod(*inputs) 2025-09-07T08:45:21.3493296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3493612Z x = self.forward_features(x) 2025-09-07T08:45:21.3493954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3494321Z x = self.blocks(x) 2025-09-07T08:45:21.3494650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3494998Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3495292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3495610Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3495726Z 2025-09-07T08:45:21.3495826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3496165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3496460Z return mod(*inputs) 2025-09-07T08:45:21.3496761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3497084Z x = self.forward_features(x) 2025-09-07T08:45:21.3497419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3497757Z x = self.blocks(x) 2025-09-07T08:45:21.3498064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3498405Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3498536Z 2025-09-07T08:45:21.3498636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3498974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3499271Z return mod(*inputs) 2025-09-07T08:45:21.3499572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3499899Z x = self.forward_features(x) 2025-09-07T08:45:21.3500236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3500575Z x = self.blocks(x) 2025-09-07T08:45:21.3500897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3501232Z x = self.conv_pw(x) 2025-09-07T08:45:21.3501532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3501890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3502247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3502605Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3502763Z 2025-09-07T08:45:21.3502865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3503211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3503523Z return mod(*inputs) 2025-09-07T08:45:21.3503822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3504158Z x = self.forward_features(x) 2025-09-07T08:45:21.3504504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3504847Z x = self.blocks(x) 2025-09-07T08:45:21.3505159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3505486Z x = self.conv_pw(x) 2025-09-07T08:45:21.3505789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3506142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3506504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3506855Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3507014Z 2025-09-07T08:45:21.3507134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3507504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3507824Z return mod(*inputs) 2025-09-07T08:45:21.3508125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3508442Z x = self.forward_features(x) 2025-09-07T08:45:21.3508783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3509123Z x = self.blocks(x) 2025-09-07T08:45:21.3509443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3509768Z x = self.conv_pw(x) 2025-09-07T08:45:21.3510065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3510415Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3510773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3511127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3511276Z 2025-09-07T08:45:21.3511377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3511714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3512022Z return mod(*inputs) 2025-09-07T08:45:21.3512322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3512648Z x = self.forward_features(x) 2025-09-07T08:45:21.3512980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3513318Z x = self.blocks(x) 2025-09-07T08:45:21.3513648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3513988Z x = self.conv_pw(x) 2025-09-07T08:45:21.3514281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3514633Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3514991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3515089Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3515093Z 2025-09-07T08:45:21.3515182Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3515260Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3515368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3515553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3515619Z return mod(*inputs) 2025-09-07T08:45:21.3515835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3515907Z x = self.forward_features(x) 2025-09-07T08:45:21.3516138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3516207Z x = self.blocks(x) 2025-09-07T08:45:21.3516422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3516498Z x = self.conv_pw(x) 2025-09-07T08:45:21.3516695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3516770Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3516774Z 2025-09-07T08:45:21.3516874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3517067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3517148Z return mod(*inputs) 2025-09-07T08:45:21.3517365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3517461Z x = self.forward_features(x) 2025-09-07T08:45:21.3517689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3517760Z x = self.blocks(x) 2025-09-07T08:45:21.3517983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3518050Z x = self.conv_dw(x) 2025-09-07T08:45:21.3518259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3518360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3518573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3518674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3518679Z 2025-09-07T08:45:21.3518778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3518974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3519040Z return mod(*inputs) 2025-09-07T08:45:21.3519247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3519313Z x = self.forward_features(x) 2025-09-07T08:45:21.3519533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3519599Z x = self.blocks(x) 2025-09-07T08:45:21.3519813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3519880Z x = self.conv_dw(x) 2025-09-07T08:45:21.3520092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3520204Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3520406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3520503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3520506Z 2025-09-07T08:45:21.3520613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3520799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3520865Z return mod(*inputs) 2025-09-07T08:45:21.3521065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3521134Z x = self.forward_features(x) 2025-09-07T08:45:21.3521367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3521432Z x = self.blocks(x) 2025-09-07T08:45:21.3521652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3521711Z x = self.conv_dw(x) 2025-09-07T08:45:21.3521906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3522011Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3522210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3522309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3522312Z 2025-09-07T08:45:21.3522411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3522600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3522677Z return mod(*inputs) 2025-09-07T08:45:21.3522886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3522972Z x = self.forward_features(x) 2025-09-07T08:45:21.3523190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3523262Z x = self.blocks(x) 2025-09-07T08:45:21.3523472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3523537Z x = self.conv_dw(x) 2025-09-07T08:45:21.3523733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3523830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3524040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3524138Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3524141Z 2025-09-07T08:45:21.3524224Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3524300Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3524396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3524588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3524654Z return mod(*inputs) 2025-09-07T08:45:21.3524856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3524926Z x = self.forward_features(x) 2025-09-07T08:45:21.3525145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3525213Z x = self.blocks(x) 2025-09-07T08:45:21.3525446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3525518Z x = self.conv_dw(x) 2025-09-07T08:45:21.3525711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3525781Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3525783Z 2025-09-07T08:45:21.3525863Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3525960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3526146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3526208Z return mod(*inputs) 2025-09-07T08:45:21.3526405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3526483Z x = self.forward_features(x) 2025-09-07T08:45:21.3526700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3526771Z x = self.blocks(x) 2025-09-07T08:45:21.3526986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3527050Z x = self.se(x) 2025-09-07T08:45:21.3527268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3527342Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3527345Z 2025-09-07T08:45:21.3527451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3527634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3527705Z return mod(*inputs) 2025-09-07T08:45:21.3527903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3527969Z x = self.forward_features(x) 2025-09-07T08:45:21.3528199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3528277Z x = self.blocks(x) 2025-09-07T08:45:21.3528540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3528602Z x = self.se(x) 2025-09-07T08:45:21.3528812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3528884Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3528887Z 2025-09-07T08:45:21.3528983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3529177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3529240Z return mod(*inputs) 2025-09-07T08:45:21.3529440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3529519Z x = self.forward_features(x) 2025-09-07T08:45:21.3529736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3529808Z x = self.blocks(x) 2025-09-07T08:45:21.3530018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3530079Z x = self.se(x) 2025-09-07T08:45:21.3530292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3530360Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3530363Z 2025-09-07T08:45:21.3530470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3530653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3530722Z return mod(*inputs) 2025-09-07T08:45:21.3530920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3531004Z x = self.forward_features(x) 2025-09-07T08:45:21.3531229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3531294Z x = self.blocks(x) 2025-09-07T08:45:21.3531511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3531570Z x = self.se(x) 2025-09-07T08:45:21.3531777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3531855Z return x * self.gate(x_se) 2025-09-07T08:45:21.3531858Z 2025-09-07T08:45:21.3531954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3532143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3532205Z return mod(*inputs) 2025-09-07T08:45:21.3532402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3532479Z x = self.forward_features(x) 2025-09-07T08:45:21.3532700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3532770Z x = self.blocks(x) 2025-09-07T08:45:21.3532983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3533042Z x = self.se(x) 2025-09-07T08:45:21.3533252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3533320Z return x * self.gate(x_se) 2025-09-07T08:45:21.3533323Z 2025-09-07T08:45:21.3533423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3533606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3533676Z return mod(*inputs) 2025-09-07T08:45:21.3533901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3533999Z x = self.forward_features(x) 2025-09-07T08:45:21.3534222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3534282Z x = self.blocks(x) 2025-09-07T08:45:21.3534498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3534559Z x = self.se(x) 2025-09-07T08:45:21.3534768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3534839Z return x * self.gate(x_se) 2025-09-07T08:45:21.3534842Z 2025-09-07T08:45:21.3534938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3535129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3535196Z return mod(*inputs) 2025-09-07T08:45:21.3535397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3535474Z x = self.forward_features(x) 2025-09-07T08:45:21.3535690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3535754Z x = self.blocks(x) 2025-09-07T08:45:21.3535962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3536032Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3536224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3536323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3536529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3536643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3536646Z 2025-09-07T08:45:21.3536753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3536935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3536998Z return mod(*inputs) 2025-09-07T08:45:21.3537198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3537264Z x = self.forward_features(x) 2025-09-07T08:45:21.3537485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3537547Z x = self.blocks(x) 2025-09-07T08:45:21.3537757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3537831Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3538021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3538131Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3538337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3538443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3538446Z 2025-09-07T08:45:21.3538543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3538725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3538794Z return mod(*inputs) 2025-09-07T08:45:21.3538990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3539065Z x = self.forward_features(x) 2025-09-07T08:45:21.3539282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3539358Z x = self.blocks(x) 2025-09-07T08:45:21.3539589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3539667Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3539860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3539958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3540156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3540258Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3540261Z 2025-09-07T08:45:21.3540358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3540548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3540616Z return mod(*inputs) 2025-09-07T08:45:21.3540816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3540886Z x = self.forward_features(x) 2025-09-07T08:45:21.3541102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3541172Z x = self.blocks(x) 2025-09-07T08:45:21.3541382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3541450Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3541641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3541738Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3541943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3542053Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3542056Z 2025-09-07T08:45:21.3542143Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3542220Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3542318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3542510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3542574Z return mod(*inputs) 2025-09-07T08:45:21.3542779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3542846Z x = self.forward_features(x) 2025-09-07T08:45:21.3543062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3543131Z x = self.blocks(x) 2025-09-07T08:45:21.3543338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3543414Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3543606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3543682Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3543686Z 2025-09-07T08:45:21.3543783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3543964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3544033Z return mod(*inputs) 2025-09-07T08:45:21.3544229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3544305Z x = self.forward_features(x) 2025-09-07T08:45:21.3544519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3544581Z x = self.blocks(x) 2025-09-07T08:45:21.3544821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3544909Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3544926Z 2025-09-07T08:45:21.3545032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3545213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3545273Z return mod(*inputs) 2025-09-07T08:45:21.3545474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3545542Z x = self.forward_features(x) 2025-09-07T08:45:21.3545770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3545834Z x = self.blocks(x) 2025-09-07T08:45:21.3546050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3546116Z x = self.conv_pw(x) 2025-09-07T08:45:21.3546311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3546420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3546624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3546730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3546732Z 2025-09-07T08:45:21.3546828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3547013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3547085Z return mod(*inputs) 2025-09-07T08:45:21.3547282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3547359Z x = self.forward_features(x) 2025-09-07T08:45:21.3547594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3547659Z x = self.blocks(x) 2025-09-07T08:45:21.3547878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3547939Z x = self.conv_pw(x) 2025-09-07T08:45:21.3548137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3548237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3548436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3548540Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3548543Z 2025-09-07T08:45:21.3548639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3548832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3548897Z return mod(*inputs) 2025-09-07T08:45:21.3549103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3549171Z x = self.forward_features(x) 2025-09-07T08:45:21.3549388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3549458Z x = self.blocks(x) 2025-09-07T08:45:21.3549671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3549741Z x = self.conv_pw(x) 2025-09-07T08:45:21.3549933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3550030Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3550238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3550363Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3550378Z 2025-09-07T08:45:21.3550484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3550664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3550736Z return mod(*inputs) 2025-09-07T08:45:21.3550931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3550999Z x = self.forward_features(x) 2025-09-07T08:45:21.3551231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3551292Z x = self.blocks(x) 2025-09-07T08:45:21.3551503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3551570Z x = self.conv_pw(x) 2025-09-07T08:45:21.3551762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3551868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3552065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3552167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3552170Z 2025-09-07T08:45:21.3552246Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3552322Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3552430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3552611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3552679Z return mod(*inputs) 2025-09-07T08:45:21.3552899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3552971Z x = self.forward_features(x) 2025-09-07T08:45:21.3553197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3553262Z x = self.blocks(x) 2025-09-07T08:45:21.3553479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3553542Z x = self.conv_pw(x) 2025-09-07T08:45:21.3553739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3553808Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3553810Z 2025-09-07T08:45:21.3553910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3554101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3554163Z return mod(*inputs) 2025-09-07T08:45:21.3554369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3554441Z x = self.forward_features(x) 2025-09-07T08:45:21.3554662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3554734Z x = self.blocks(x) 2025-09-07T08:45:21.3554946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3555014Z x = self.conv_dw(x) 2025-09-07T08:45:21.3555207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3555306Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3555518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3555617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3555636Z 2025-09-07T08:45:21.3555743Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3555953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3556026Z return mod(*inputs) 2025-09-07T08:45:21.3556224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3556292Z x = self.forward_features(x) 2025-09-07T08:45:21.3556519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3556582Z x = self.blocks(x) 2025-09-07T08:45:21.3556801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3556864Z x = self.conv_dw(x) 2025-09-07T08:45:21.3557057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3557170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3557374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3557479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3557482Z 2025-09-07T08:45:21.3557581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3557766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3557838Z return mod(*inputs) 2025-09-07T08:45:21.3558035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3558113Z x = self.forward_features(x) 2025-09-07T08:45:21.3558334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3558405Z x = self.blocks(x) 2025-09-07T08:45:21.3558633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3558698Z x = self.conv_dw(x) 2025-09-07T08:45:21.3558900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3558998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3559203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3559297Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3559300Z 2025-09-07T08:45:21.3559398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3559588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3559651Z return mod(*inputs) 2025-09-07T08:45:21.3559856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3559926Z x = self.forward_features(x) 2025-09-07T08:45:21.3560144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3560213Z x = self.blocks(x) 2025-09-07T08:45:21.3560424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3560494Z x = self.conv_dw(x) 2025-09-07T08:45:21.3560686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3560783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3560987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3561086Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3561107Z 2025-09-07T08:45:21.3561195Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3561285Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3561409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3561588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3561650Z return mod(*inputs) 2025-09-07T08:45:21.3561853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3561920Z x = self.forward_features(x) 2025-09-07T08:45:21.3562140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3562203Z x = self.blocks(x) 2025-09-07T08:45:21.3562410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3562481Z x = self.conv_dw(x) 2025-09-07T08:45:21.3562671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3562745Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3562748Z 2025-09-07T08:45:21.3562823Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3562920Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3563109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3563172Z return mod(*inputs) 2025-09-07T08:45:21.3563371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3563438Z x = self.forward_features(x) 2025-09-07T08:45:21.3563655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3563727Z x = self.blocks(x) 2025-09-07T08:45:21.3563952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3564020Z x = self.se(x) 2025-09-07T08:45:21.3564235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3564318Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3564321Z 2025-09-07T08:45:21.3564419Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3564603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3564677Z return mod(*inputs) 2025-09-07T08:45:21.3564872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3564948Z x = self.forward_features(x) 2025-09-07T08:45:21.3565164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3565228Z x = self.blocks(x) 2025-09-07T08:45:21.3565449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3565512Z x = self.se(x) 2025-09-07T08:45:21.3565727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3565795Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3565798Z 2025-09-07T08:45:21.3565895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3566083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3566145Z return mod(*inputs) 2025-09-07T08:45:21.3566349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3566417Z x = self.forward_features(x) 2025-09-07T08:45:21.3566634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3566723Z x = self.blocks(x) 2025-09-07T08:45:21.3566955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3567043Z x = self.se(x) 2025-09-07T08:45:21.3567253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3567325Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3567329Z 2025-09-07T08:45:21.3567431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3567613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3567688Z return mod(*inputs) 2025-09-07T08:45:21.3567890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3567965Z x = self.forward_features(x) 2025-09-07T08:45:21.3568189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3568253Z x = self.blocks(x) 2025-09-07T08:45:21.3568468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3568526Z x = self.se(x) 2025-09-07T08:45:21.3568740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3568808Z return x * self.gate(x_se) 2025-09-07T08:45:21.3568811Z 2025-09-07T08:45:21.3568908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3569098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3569162Z return mod(*inputs) 2025-09-07T08:45:21.3569368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3569435Z x = self.forward_features(x) 2025-09-07T08:45:21.3569676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3569742Z x = self.blocks(x) 2025-09-07T08:45:21.3569952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3570019Z x = self.se(x) 2025-09-07T08:45:21.3570224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3570297Z return x * self.gate(x_se) 2025-09-07T08:45:21.3570300Z 2025-09-07T08:45:21.3570397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3570582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3570651Z return mod(*inputs) 2025-09-07T08:45:21.3570845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3570924Z x = self.forward_features(x) 2025-09-07T08:45:21.3571144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3571208Z x = self.blocks(x) 2025-09-07T08:45:21.3571427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3571486Z x = self.se(x) 2025-09-07T08:45:21.3571697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3571766Z return x * self.gate(x_se) 2025-09-07T08:45:21.3571769Z 2025-09-07T08:45:21.3571874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3572058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3572120Z return mod(*inputs) 2025-09-07T08:45:21.3572342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3572426Z x = self.forward_features(x) 2025-09-07T08:45:21.3572671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3572733Z x = self.blocks(x) 2025-09-07T08:45:21.3572942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3573013Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3573206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3573309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3573510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3573612Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3573616Z 2025-09-07T08:45:21.3573726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3573912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3573981Z return mod(*inputs) 2025-09-07T08:45:21.3574179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3574246Z x = self.forward_features(x) 2025-09-07T08:45:21.3574470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3574531Z x = self.blocks(x) 2025-09-07T08:45:21.3574749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3574812Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3575011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3575125Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3575330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3575435Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3575438Z 2025-09-07T08:45:21.3575537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3575728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3575790Z return mod(*inputs) 2025-09-07T08:45:21.3575986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3576063Z x = self.forward_features(x) 2025-09-07T08:45:21.3576281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3576351Z x = self.blocks(x) 2025-09-07T08:45:21.3576565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3576631Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3576831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3576930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3577137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3577232Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3577235Z 2025-09-07T08:45:21.3577335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3577520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3577582Z return mod(*inputs) 2025-09-07T08:45:21.3577791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3577876Z x = self.forward_features(x) 2025-09-07T08:45:21.3578134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3578198Z x = self.blocks(x) 2025-09-07T08:45:21.3578411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3578487Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3578679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3578780Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3578980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3579078Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3579089Z 2025-09-07T08:45:21.3579171Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3579248Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3579357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3579541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3579614Z return mod(*inputs) 2025-09-07T08:45:21.3579811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3579880Z x = self.forward_features(x) 2025-09-07T08:45:21.3580108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3580173Z x = self.blocks(x) 2025-09-07T08:45:21.3580388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3580454Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3580660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3580738Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3580741Z 2025-09-07T08:45:21.3580838Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3581031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3581095Z return mod(*inputs) 2025-09-07T08:45:21.3581289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3581364Z x = self.forward_features(x) 2025-09-07T08:45:21.3581606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3581678Z x = self.blocks(x) 2025-09-07T08:45:21.3581889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3581966Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3581973Z 2025-09-07T08:45:21.3582068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3582250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3582322Z return mod(*inputs) 2025-09-07T08:45:21.3582520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3582597Z x = self.forward_features(x) 2025-09-07T08:45:21.3582822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3582883Z x = self.blocks(x) 2025-09-07T08:45:21.3583104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3583169Z x = self.bn1(x) 2025-09-07T08:45:21.3583372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3583461Z x = self.act(x) 2025-09-07T08:45:21.3583465Z 2025-09-07T08:45:21.3583623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3583820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3583884Z return mod(*inputs) 2025-09-07T08:45:21.3584084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3584153Z x = self.forward_features(x) 2025-09-07T08:45:21.3584370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3584443Z x = self.blocks(x) 2025-09-07T08:45:21.3584651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3584721Z x = self.bn1(x) 2025-09-07T08:45:21.3584915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3584979Z x = self.act(x) 2025-09-07T08:45:21.3584986Z 2025-09-07T08:45:21.3585087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3585274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3585346Z return mod(*inputs) 2025-09-07T08:45:21.3585545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3585621Z x = self.forward_features(x) 2025-09-07T08:45:21.3585840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3585902Z x = self.blocks(x) 2025-09-07T08:45:21.3586116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3586181Z x = self.conv_dw(x) 2025-09-07T08:45:21.3586405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3586508Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3586710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3586817Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3586820Z 2025-09-07T08:45:21.3586914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3587107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3587171Z return mod(*inputs) 2025-09-07T08:45:21.3587366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3587442Z x = self.forward_features(x) 2025-09-07T08:45:21.3587663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3587738Z x = self.blocks(x) 2025-09-07T08:45:21.3587952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3588019Z x = self.conv_dw(x) 2025-09-07T08:45:21.3588213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3588311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3588522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3588618Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3588621Z 2025-09-07T08:45:21.3588722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3588909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3588988Z return mod(*inputs) 2025-09-07T08:45:21.3589208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3589291Z x = self.forward_features(x) 2025-09-07T08:45:21.3589517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3589575Z x = self.blocks(x) 2025-09-07T08:45:21.3589784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3589855Z x = self.conv_dw(x) 2025-09-07T08:45:21.3590046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3590153Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3590352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3590456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3590462Z 2025-09-07T08:45:21.3590562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3590747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3590814Z return mod(*inputs) 2025-09-07T08:45:21.3591010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3591088Z x = self.forward_features(x) 2025-09-07T08:45:21.3591308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3591372Z x = self.blocks(x) 2025-09-07T08:45:21.3591589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3591653Z x = self.conv_dw(x) 2025-09-07T08:45:21.3591870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3591972Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3592171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3592274Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3592277Z 2025-09-07T08:45:21.3592375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3592564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3592628Z return mod(*inputs) 2025-09-07T08:45:21.3592832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3592900Z x = self.forward_features(x) 2025-09-07T08:45:21.3593116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3593190Z x = self.blocks(x) 2025-09-07T08:45:21.3593407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3593478Z x = self.conv_dw(x) 2025-09-07T08:45:21.3593666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3593764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3593974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3594070Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3594073Z 2025-09-07T08:45:21.3594178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3594363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3594444Z return mod(*inputs) 2025-09-07T08:45:21.3594668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3594752Z x = self.forward_features(x) 2025-09-07T08:45:21.3594975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3595036Z x = self.blocks(x) 2025-09-07T08:45:21.3595245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3595309Z x = self.conv_dw(x) 2025-09-07T08:45:21.3595501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3595605Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3595807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3595909Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3595915Z 2025-09-07T08:45:21.3595995Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3596072Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3596152Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3596252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3596445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3596509Z return mod(*inputs) 2025-09-07T08:45:21.3596705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3596783Z x = self.forward_features(x) 2025-09-07T08:45:21.3596997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3597067Z x = self.blocks(x) 2025-09-07T08:45:21.3597293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3597357Z x = self.conv_dw(x) 2025-09-07T08:45:21.3597555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3597623Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3597626Z 2025-09-07T08:45:21.3597708Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3597806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3597997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3598056Z return mod(*inputs) 2025-09-07T08:45:21.3598257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3598334Z x = self.forward_features(x) 2025-09-07T08:45:21.3598560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3598628Z x = self.blocks(x) 2025-09-07T08:45:21.3598847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3598909Z x = self.se(x) 2025-09-07T08:45:21.3599130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3599204Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3599207Z 2025-09-07T08:45:21.3599310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3599494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3599554Z return mod(*inputs) 2025-09-07T08:45:21.3599762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3599848Z x = self.forward_features(x) 2025-09-07T08:45:21.3600081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3600159Z x = self.blocks(x) 2025-09-07T08:45:21.3600372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3600442Z x = self.se(x) 2025-09-07T08:45:21.3600649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3600722Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3600725Z 2025-09-07T08:45:21.3600823Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3601014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3601080Z return mod(*inputs) 2025-09-07T08:45:21.3601276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3601356Z x = self.forward_features(x) 2025-09-07T08:45:21.3601575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3601647Z x = self.blocks(x) 2025-09-07T08:45:21.3601853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3601912Z x = self.se(x) 2025-09-07T08:45:21.3602129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3602194Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3602197Z 2025-09-07T08:45:21.3602304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3602488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3602548Z return mod(*inputs) 2025-09-07T08:45:21.3602777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3602847Z x = self.forward_features(x) 2025-09-07T08:45:21.3603081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3603143Z x = self.blocks(x) 2025-09-07T08:45:21.3603355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3603417Z x = self.se(x) 2025-09-07T08:45:21.3603624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3603699Z return x * self.gate(x_se) 2025-09-07T08:45:21.3603702Z 2025-09-07T08:45:21.3603796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3603988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3604054Z return mod(*inputs) 2025-09-07T08:45:21.3604252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3604332Z x = self.forward_features(x) 2025-09-07T08:45:21.3604550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3604618Z x = self.blocks(x) 2025-09-07T08:45:21.3604830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3604886Z x = self.se(x) 2025-09-07T08:45:21.3605102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3605171Z return x * self.gate(x_se) 2025-09-07T08:45:21.3605174Z 2025-09-07T08:45:21.3605277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3605459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3605542Z return mod(*inputs) 2025-09-07T08:45:21.3605762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3605842Z x = self.forward_features(x) 2025-09-07T08:45:21.3606067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3606127Z x = self.blocks(x) 2025-09-07T08:45:21.3606338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3606406Z x = self.se(x) 2025-09-07T08:45:21.3606615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3606686Z return x * self.gate(x_se) 2025-09-07T08:45:21.3606689Z 2025-09-07T08:45:21.3606786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3606982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3607048Z return mod(*inputs) 2025-09-07T08:45:21.3607250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3607327Z x = self.forward_features(x) 2025-09-07T08:45:21.3607546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3607611Z x = self.blocks(x) 2025-09-07T08:45:21.3607821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3607888Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3607891Z 2025-09-07T08:45:21.3607992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3608173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3608243Z return mod(*inputs) 2025-09-07T08:45:21.3608454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3608524Z x = self.forward_features(x) 2025-09-07T08:45:21.3608751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3608812Z x = self.blocks(x) 2025-09-07T08:45:21.3609029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3609094Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3609097Z 2025-09-07T08:45:21.3609200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3609382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3609445Z return mod(*inputs) 2025-09-07T08:45:21.3609649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3609716Z x = self.forward_features(x) 2025-09-07T08:45:21.3609939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3610005Z x = self.blocks(x) 2025-09-07T08:45:21.3610216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3610285Z x = self.conv_pw(x) 2025-09-07T08:45:21.3610475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3610581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3610782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3610881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3610900Z 2025-09-07T08:45:21.3611009Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3611202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3611284Z return mod(*inputs) 2025-09-07T08:45:21.3611479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3611554Z x = self.forward_features(x) 2025-09-07T08:45:21.3611769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3611829Z x = self.blocks(x) 2025-09-07T08:45:21.3612044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3612105Z x = self.conv_pw(x) 2025-09-07T08:45:21.3612300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3612403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3612605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3612711Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3612714Z 2025-09-07T08:45:21.3612812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3613003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3613066Z return mod(*inputs) 2025-09-07T08:45:21.3613260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3613332Z x = self.forward_features(x) 2025-09-07T08:45:21.3613548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3613618Z x = self.blocks(x) 2025-09-07T08:45:21.3613845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3613908Z x = self.conv_pw(x) 2025-09-07T08:45:21.3614111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3614208Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3614409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3614505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3614509Z 2025-09-07T08:45:21.3614613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3614791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3614855Z return mod(*inputs) 2025-09-07T08:45:21.3615058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3615132Z x = self.forward_features(x) 2025-09-07T08:45:21.3615360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3615425Z x = self.blocks(x) 2025-09-07T08:45:21.3615636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3615705Z x = self.conv_pw(x) 2025-09-07T08:45:21.3615897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3616002Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3616201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3616296Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3616307Z 2025-09-07T08:45:21.3616404Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3616482Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3616606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3616808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3616883Z return mod(*inputs) 2025-09-07T08:45:21.3617084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3617153Z x = self.forward_features(x) 2025-09-07T08:45:21.3617377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3617441Z x = self.blocks(x) 2025-09-07T08:45:21.3617657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3617720Z x = self.conv_pw(x) 2025-09-07T08:45:21.3617911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3617988Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3617993Z 2025-09-07T08:45:21.3618092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3618289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3618354Z return mod(*inputs) 2025-09-07T08:45:21.3618550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3618627Z x = self.forward_features(x) 2025-09-07T08:45:21.3618843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3618910Z x = self.blocks(x) 2025-09-07T08:45:21.3619121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3619185Z x = self.conv_dw(x) 2025-09-07T08:45:21.3619403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3619506Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3619718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3619816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3619818Z 2025-09-07T08:45:21.3619924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3620111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3620175Z return mod(*inputs) 2025-09-07T08:45:21.3620381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3620450Z x = self.forward_features(x) 2025-09-07T08:45:21.3620675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3620740Z x = self.blocks(x) 2025-09-07T08:45:21.3620953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3621024Z x = self.conv_dw(x) 2025-09-07T08:45:21.3621212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3621308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3621506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3621596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3621602Z 2025-09-07T08:45:21.3621697Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3621876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3621956Z return mod(*inputs) 2025-09-07T08:45:21.3622162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3622246Z x = self.forward_features(x) 2025-09-07T08:45:21.3622465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3622526Z x = self.blocks(x) 2025-09-07T08:45:21.3622745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3622807Z x = self.conv_dw(x) 2025-09-07T08:45:21.3623005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3623099Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3623298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3623402Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3623405Z 2025-09-07T08:45:21.3623503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3623691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3623755Z return mod(*inputs) 2025-09-07T08:45:21.3623958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3624026Z x = self.forward_features(x) 2025-09-07T08:45:21.3624248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3624319Z x = self.blocks(x) 2025-09-07T08:45:21.3624528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3624599Z x = self.conv_dw(x) 2025-09-07T08:45:21.3624804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3624903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3625112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3625210Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3625213Z 2025-09-07T08:45:21.3625317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3625501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3625565Z return mod(*inputs) 2025-09-07T08:45:21.3625764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3625834Z x = self.forward_features(x) 2025-09-07T08:45:21.3626055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3626118Z x = self.blocks(x) 2025-09-07T08:45:21.3626327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3626400Z x = self.conv_dw(x) 2025-09-07T08:45:21.3626591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3626695Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3626895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3626997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3627000Z 2025-09-07T08:45:21.3627097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3627280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3627368Z return mod(*inputs) 2025-09-07T08:45:21.3627577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3627667Z x = self.forward_features(x) 2025-09-07T08:45:21.3627888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3627951Z x = self.blocks(x) 2025-09-07T08:45:21.3628170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3628232Z x = self.conv_dw(x) 2025-09-07T08:45:21.3628427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3628523Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3628722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3628830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3628833Z 2025-09-07T08:45:21.3628933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3629123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3629186Z return mod(*inputs) 2025-09-07T08:45:21.3629390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3629456Z x = self.forward_features(x) 2025-09-07T08:45:21.3629675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3629746Z x = self.blocks(x) 2025-09-07T08:45:21.3629957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3630031Z x = self.conv_dw(x) 2025-09-07T08:45:21.3630238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3630331Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3630538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3630633Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3630636Z 2025-09-07T08:45:21.3630741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3630923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3630992Z return mod(*inputs) 2025-09-07T08:45:21.3631183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3631254Z x = self.forward_features(x) 2025-09-07T08:45:21.3631477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3631542Z x = self.blocks(x) 2025-09-07T08:45:21.3631757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3631823Z x = self.conv_dw(x) 2025-09-07T08:45:21.3632014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3632115Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3632312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3632416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3632419Z 2025-09-07T08:45:21.3632498Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3632574Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3632652Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3632746Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3632852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3633069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3633135Z return mod(*inputs) 2025-09-07T08:45:21.3633338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3633406Z x = self.forward_features(x) 2025-09-07T08:45:21.3633632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3633693Z x = self.blocks(x) 2025-09-07T08:45:21.3633906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3633976Z x = self.conv_dw(x) 2025-09-07T08:45:21.3634170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3634246Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3634249Z 2025-09-07T08:45:21.3634323Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3634432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3634619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3634677Z return mod(*inputs) 2025-09-07T08:45:21.3634884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3634953Z x = self.forward_features(x) 2025-09-07T08:45:21.3635180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3635244Z x = self.blocks(x) 2025-09-07T08:45:21.3635457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3635523Z x = self.se(x) 2025-09-07T08:45:21.3635760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3635846Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3635849Z 2025-09-07T08:45:21.3635949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3636128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3636200Z return mod(*inputs) 2025-09-07T08:45:21.3636390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3636465Z x = self.forward_features(x) 2025-09-07T08:45:21.3636682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3636744Z x = self.blocks(x) 2025-09-07T08:45:21.3636963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3637024Z x = self.se(x) 2025-09-07T08:45:21.3637240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3637308Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3637311Z 2025-09-07T08:45:21.3637415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3637597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3637659Z return mod(*inputs) 2025-09-07T08:45:21.3637863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3637930Z x = self.forward_features(x) 2025-09-07T08:45:21.3638151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3638214Z x = self.blocks(x) 2025-09-07T08:45:21.3638437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3638518Z x = self.se(x) 2025-09-07T08:45:21.3638743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3638811Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3638814Z 2025-09-07T08:45:21.3638910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3639094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3639165Z return mod(*inputs) 2025-09-07T08:45:21.3639357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3639434Z x = self.forward_features(x) 2025-09-07T08:45:21.3639648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3639711Z x = self.blocks(x) 2025-09-07T08:45:21.3639931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3639993Z x = self.se(x) 2025-09-07T08:45:21.3640204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3640273Z return x * self.gate(x_se) 2025-09-07T08:45:21.3640276Z 2025-09-07T08:45:21.3640375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3640557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3640621Z return mod(*inputs) 2025-09-07T08:45:21.3640825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3640893Z x = self.forward_features(x) 2025-09-07T08:45:21.3641124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3641190Z x = self.blocks(x) 2025-09-07T08:45:21.3641400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3641470Z x = self.se(x) 2025-09-07T08:45:21.3641678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3641754Z return x * self.gate(x_se) 2025-09-07T08:45:21.3641757Z 2025-09-07T08:45:21.3641852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3642036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3642104Z return mod(*inputs) 2025-09-07T08:45:21.3642298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3642374Z x = self.forward_features(x) 2025-09-07T08:45:21.3642589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3642658Z x = self.blocks(x) 2025-09-07T08:45:21.3642867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3642925Z x = self.se(x) 2025-09-07T08:45:21.3643136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3643204Z return x * self.gate(x_se) 2025-09-07T08:45:21.3643207Z 2025-09-07T08:45:21.3643290Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3643387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3643570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3643643Z return mod(*inputs) 2025-09-07T08:45:21.3643843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3643935Z x = self.forward_features(x) 2025-09-07T08:45:21.3644165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3644242Z x = self.blocks(x) 2025-09-07T08:45:21.3644459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3644521Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3644721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3644823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3645026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3645133Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3645137Z 2025-09-07T08:45:21.3645237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3645433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3645497Z return mod(*inputs) 2025-09-07T08:45:21.3645697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3645765Z x = self.forward_features(x) 2025-09-07T08:45:21.3645984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3646053Z x = self.blocks(x) 2025-09-07T08:45:21.3646262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3646329Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3646522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3646635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3646845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3646943Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3646946Z 2025-09-07T08:45:21.3647028Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3647125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3647306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3647375Z return mod(*inputs) 2025-09-07T08:45:21.3647566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3647642Z x = self.forward_features(x) 2025-09-07T08:45:21.3647855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3647925Z x = self.blocks(x) 2025-09-07T08:45:21.3648132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3648198Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3648394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3648493Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3648696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3648793Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3648796Z 2025-09-07T08:45:21.3648890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3649077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3649142Z return mod(*inputs) 2025-09-07T08:45:21.3649360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3649455Z x = self.forward_features(x) 2025-09-07T08:45:21.3649686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3649752Z x = self.blocks(x) 2025-09-07T08:45:21.3649959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3650029Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3650220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3650317Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3650518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3650613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3650617Z 2025-09-07T08:45:21.3650704Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3650783Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3650887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3651064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3651127Z return mod(*inputs) 2025-09-07T08:45:21.3651329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3651397Z x = self.forward_features(x) 2025-09-07T08:45:21.3651624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3651688Z x = self.blocks(x) 2025-09-07T08:45:21.3651894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3651975Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3652177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3652255Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3652259Z 2025-09-07T08:45:21.3652358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3652542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3652614Z return mod(*inputs) 2025-09-07T08:45:21.3652806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3652884Z x = self.forward_features(x) 2025-09-07T08:45:21.3653104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3653173Z x = self.blocks(x) 2025-09-07T08:45:21.3653380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3653457Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3653460Z 2025-09-07T08:45:21.3653567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3653750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3653821Z return mod(*inputs) 2025-09-07T08:45:21.3654017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3654084Z x = self.forward_features(x) 2025-09-07T08:45:21.3654313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3654375Z x = self.blocks(x) 2025-09-07T08:45:21.3654591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3654656Z x = self.conv_pw(x) 2025-09-07T08:45:21.3654865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3654985Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3655205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3655311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3655314Z 2025-09-07T08:45:21.3655412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3655600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3655663Z return mod(*inputs) 2025-09-07T08:45:21.3655858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3655931Z x = self.forward_features(x) 2025-09-07T08:45:21.3656148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3656220Z x = self.blocks(x) 2025-09-07T08:45:21.3656430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3656494Z x = self.conv_pw(x) 2025-09-07T08:45:21.3656690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3656790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3656997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3657093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3657096Z 2025-09-07T08:45:21.3657194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3657385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3657451Z return mod(*inputs) 2025-09-07T08:45:21.3657667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3657739Z x = self.forward_features(x) 2025-09-07T08:45:21.3657958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3658030Z x = self.blocks(x) 2025-09-07T08:45:21.3658244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3658311Z x = self.conv_pw(x) 2025-09-07T08:45:21.3658502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3658604Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3658802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3658901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3658904Z 2025-09-07T08:45:21.3659011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3659197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3659265Z return mod(*inputs) 2025-09-07T08:45:21.3659460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3659526Z x = self.forward_features(x) 2025-09-07T08:45:21.3659749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3659811Z x = self.blocks(x) 2025-09-07T08:45:21.3660025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3660083Z x = self.conv_pw(x) 2025-09-07T08:45:21.3660276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3660409Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3660621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3660724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3660727Z 2025-09-07T08:45:21.3660804Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3660881Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3660978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3661164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3661236Z return mod(*inputs) 2025-09-07T08:45:21.3661439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3661515Z x = self.forward_features(x) 2025-09-07T08:45:21.3661739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3661803Z x = self.blocks(x) 2025-09-07T08:45:21.3662026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3662089Z x = self.conv_pw(x) 2025-09-07T08:45:21.3662286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3662353Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3662356Z 2025-09-07T08:45:21.3662453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3662648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3662711Z return mod(*inputs) 2025-09-07T08:45:21.3662921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3663007Z x = self.forward_features(x) 2025-09-07T08:45:21.3663219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3663291Z x = self.blocks(x) 2025-09-07T08:45:21.3663499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3663565Z x = self.conv_dw(x) 2025-09-07T08:45:21.3663756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3663856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3664055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3664152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3664154Z 2025-09-07T08:45:21.3664261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3664446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3664518Z return mod(*inputs) 2025-09-07T08:45:21.3664713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3664782Z x = self.forward_features(x) 2025-09-07T08:45:21.3665006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3665070Z x = self.blocks(x) 2025-09-07T08:45:21.3665282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3665343Z x = self.conv_dw(x) 2025-09-07T08:45:21.3665533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3665642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3665871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3665993Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3665997Z 2025-09-07T08:45:21.3666095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3666291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3666355Z return mod(*inputs) 2025-09-07T08:45:21.3666553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3666629Z x = self.forward_features(x) 2025-09-07T08:45:21.3666846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3666916Z x = self.blocks(x) 2025-09-07T08:45:21.3667131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3667194Z x = self.conv_dw(x) 2025-09-07T08:45:21.3667400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3667496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3667706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3667804Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3667806Z 2025-09-07T08:45:21.3667911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3668099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3668161Z return mod(*inputs) 2025-09-07T08:45:21.3668369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3668455Z x = self.forward_features(x) 2025-09-07T08:45:21.3668687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3668753Z x = self.blocks(x) 2025-09-07T08:45:21.3668968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3669041Z x = self.conv_dw(x) 2025-09-07T08:45:21.3669238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3669341Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3669548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3669642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3669645Z 2025-09-07T08:45:21.3669752Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3669942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3670018Z return mod(*inputs) 2025-09-07T08:45:21.3670219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3670289Z x = self.forward_features(x) 2025-09-07T08:45:21.3670522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3670583Z x = self.blocks(x) 2025-09-07T08:45:21.3670807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3670871Z x = self.conv_dw(x) 2025-09-07T08:45:21.3671078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3671176Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3671394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3671543Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3671546Z 2025-09-07T08:45:21.3671645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3671835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3671898Z return mod(*inputs) 2025-09-07T08:45:21.3672093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3672169Z x = self.forward_features(x) 2025-09-07T08:45:21.3672386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3672456Z x = self.blocks(x) 2025-09-07T08:45:21.3672667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3672733Z x = self.conv_dw(x) 2025-09-07T08:45:21.3672930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3673027Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3673230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3673326Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3673329Z 2025-09-07T08:45:21.3673433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3673616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3673677Z return mod(*inputs) 2025-09-07T08:45:21.3673882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3673966Z x = self.forward_features(x) 2025-09-07T08:45:21.3674196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3674261Z x = self.blocks(x) 2025-09-07T08:45:21.3674473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3674544Z x = self.conv_dw(x) 2025-09-07T08:45:21.3674735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3674841Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3675043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3675137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3675147Z 2025-09-07T08:45:21.3675244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3675433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3675510Z return mod(*inputs) 2025-09-07T08:45:21.3675708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3675782Z x = self.forward_features(x) 2025-09-07T08:45:21.3676000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3676063Z x = self.blocks(x) 2025-09-07T08:45:21.3676284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3676347Z x = self.conv_dw(x) 2025-09-07T08:45:21.3676545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3676645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3676861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3677006Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3677009Z 2025-09-07T08:45:21.3677089Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3677177Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3677253Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3677330Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3677441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3677627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3677699Z return mod(*inputs) 2025-09-07T08:45:21.3677895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3677965Z x = self.forward_features(x) 2025-09-07T08:45:21.3678202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3678269Z x = self.blocks(x) 2025-09-07T08:45:21.3678491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3678554Z x = self.conv_dw(x) 2025-09-07T08:45:21.3678758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3678826Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3678829Z 2025-09-07T08:45:21.3678904Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3679012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3679195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3679264Z return mod(*inputs) 2025-09-07T08:45:21.3679460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3679548Z x = self.forward_features(x) 2025-09-07T08:45:21.3679776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3679842Z x = self.blocks(x) 2025-09-07T08:45:21.3680063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3680126Z x = self.se(x) 2025-09-07T08:45:21.3680337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3680422Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3680425Z 2025-09-07T08:45:21.3680523Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3680718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3680782Z return mod(*inputs) 2025-09-07T08:45:21.3680986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3681065Z x = self.forward_features(x) 2025-09-07T08:45:21.3681291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3681360Z x = self.blocks(x) 2025-09-07T08:45:21.3681613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3681682Z x = self.se(x) 2025-09-07T08:45:21.3681890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3681958Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3681961Z 2025-09-07T08:45:21.3682068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3682253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3682364Z return mod(*inputs) 2025-09-07T08:45:21.3682593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3682686Z x = self.forward_features(x) 2025-09-07T08:45:21.3682921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3682987Z x = self.blocks(x) 2025-09-07T08:45:21.3683202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3683261Z x = self.se(x) 2025-09-07T08:45:21.3683465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3683538Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3683541Z 2025-09-07T08:45:21.3683639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3683829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3683895Z return mod(*inputs) 2025-09-07T08:45:21.3684092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3684172Z x = self.forward_features(x) 2025-09-07T08:45:21.3684392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3684465Z x = self.blocks(x) 2025-09-07T08:45:21.3684675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3684746Z x = self.se(x) 2025-09-07T08:45:21.3684954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3685022Z return x * self.gate(x_se) 2025-09-07T08:45:21.3685025Z 2025-09-07T08:45:21.3685130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3685334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3685410Z return mod(*inputs) 2025-09-07T08:45:21.3685608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3685675Z x = self.forward_features(x) 2025-09-07T08:45:21.3685901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3685962Z x = self.blocks(x) 2025-09-07T08:45:21.3686177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3686238Z x = self.se(x) 2025-09-07T08:45:21.3686441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3686519Z return x * self.gate(x_se) 2025-09-07T08:45:21.3686523Z 2025-09-07T08:45:21.3686622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3686815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3686880Z return mod(*inputs) 2025-09-07T08:45:21.3687083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3687152Z x = self.forward_features(x) 2025-09-07T08:45:21.3687368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3687441Z x = self.blocks(x) 2025-09-07T08:45:21.3687649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3687714Z x = self.se(x) 2025-09-07T08:45:21.3687921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3688004Z return x * self.gate(x_se) 2025-09-07T08:45:21.3688008Z 2025-09-07T08:45:21.3688113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3688327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3688399Z return mod(*inputs) 2025-09-07T08:45:21.3688596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3688663Z x = self.forward_features(x) 2025-09-07T08:45:21.3688888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3688949Z x = self.blocks(x) 2025-09-07T08:45:21.3689163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3689230Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3689422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3689534Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3689738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3689854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3689856Z 2025-09-07T08:45:21.3689953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3690147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3690212Z return mod(*inputs) 2025-09-07T08:45:21.3690406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3690487Z x = self.forward_features(x) 2025-09-07T08:45:21.3690702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3690773Z x = self.blocks(x) 2025-09-07T08:45:21.3691002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3691071Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3691276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3691377Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3691586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3691684Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3691686Z 2025-09-07T08:45:21.3691791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3691972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3692035Z return mod(*inputs) 2025-09-07T08:45:21.3692243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3692313Z x = self.forward_features(x) 2025-09-07T08:45:21.3692538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3692600Z x = self.blocks(x) 2025-09-07T08:45:21.3692808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3692882Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3693076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3693181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3693382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3693478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3693498Z 2025-09-07T08:45:21.3693607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3693820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3693894Z return mod(*inputs) 2025-09-07T08:45:21.3694091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3694160Z x = self.forward_features(x) 2025-09-07T08:45:21.3694386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3694450Z x = self.blocks(x) 2025-09-07T08:45:21.3694674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3694738Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3694942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3695045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3695254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3695362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3695365Z 2025-09-07T08:45:21.3695443Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3695529Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3695629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3695821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3695894Z return mod(*inputs) 2025-09-07T08:45:21.3696093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3696170Z x = self.forward_features(x) 2025-09-07T08:45:21.3696408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3696474Z x = self.blocks(x) 2025-09-07T08:45:21.3696694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3696758Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3696955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3697023Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3697026Z 2025-09-07T08:45:21.3697130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3697309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3697373Z return mod(*inputs) 2025-09-07T08:45:21.3697573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3697644Z x = self.forward_features(x) 2025-09-07T08:45:21.3697867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3697929Z x = self.blocks(x) 2025-09-07T08:45:21.3698137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3698215Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3698218Z 2025-09-07T08:45:21.3698315Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3698507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3698570Z return mod(*inputs) 2025-09-07T08:45:21.3698765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3698841Z x = self.forward_features(x) 2025-09-07T08:45:21.3699055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3699148Z x = self.blocks(x) 2025-09-07T08:45:21.3699371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3699447Z x = self.conv_pw(x) 2025-09-07T08:45:21.3699652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3699753Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3699963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3700062Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3700065Z 2025-09-07T08:45:21.3700173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3700355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3700419Z return mod(*inputs) 2025-09-07T08:45:21.3700626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3700698Z x = self.forward_features(x) 2025-09-07T08:45:21.3700922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3700985Z x = self.blocks(x) 2025-09-07T08:45:21.3701195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3701269Z x = self.conv_pw(x) 2025-09-07T08:45:21.3701461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3701567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3701767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3701880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3701891Z 2025-09-07T08:45:21.3701991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3702177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3702248Z return mod(*inputs) 2025-09-07T08:45:21.3702441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3702519Z x = self.forward_features(x) 2025-09-07T08:45:21.3702736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3702799Z x = self.blocks(x) 2025-09-07T08:45:21.3703017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3703083Z x = self.conv_pw(x) 2025-09-07T08:45:21.3703286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3703382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3703583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3703689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3703692Z 2025-09-07T08:45:21.3703789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3703981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3704046Z return mod(*inputs) 2025-09-07T08:45:21.3704241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3704319Z x = self.forward_features(x) 2025-09-07T08:45:21.3704534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3704623Z x = self.blocks(x) 2025-09-07T08:45:21.3704850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3704938Z x = self.conv_pw(x) 2025-09-07T08:45:21.3705128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3705223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3705432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3705526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3705529Z 2025-09-07T08:45:21.3705615Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3705692Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3705788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3705986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3706051Z return mod(*inputs) 2025-09-07T08:45:21.3706258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3706328Z x = self.forward_features(x) 2025-09-07T08:45:21.3706544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3706619Z x = self.blocks(x) 2025-09-07T08:45:21.3706826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3706899Z x = self.conv_pw(x) 2025-09-07T08:45:21.3707089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3707157Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3707167Z 2025-09-07T08:45:21.3707281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3707467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3707541Z return mod(*inputs) 2025-09-07T08:45:21.3707741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3707815Z x = self.forward_features(x) 2025-09-07T08:45:21.3708030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3708090Z x = self.blocks(x) 2025-09-07T08:45:21.3708306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3708367Z x = self.conv_dw(x) 2025-09-07T08:45:21.3708566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3708665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3708866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3708972Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3708975Z 2025-09-07T08:45:21.3709071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3709257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3709322Z return mod(*inputs) 2025-09-07T08:45:21.3709515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3709591Z x = self.forward_features(x) 2025-09-07T08:45:21.3709810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3709876Z x = self.blocks(x) 2025-09-07T08:45:21.3710087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3710173Z x = self.conv_dw(x) 2025-09-07T08:45:21.3710394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3710493Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3710701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3710797Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3710800Z 2025-09-07T08:45:21.3710909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3711095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3711160Z return mod(*inputs) 2025-09-07T08:45:21.3711365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3711436Z x = self.forward_features(x) 2025-09-07T08:45:21.3711663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3711726Z x = self.blocks(x) 2025-09-07T08:45:21.3711938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3712008Z x = self.conv_dw(x) 2025-09-07T08:45:21.3712202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3712309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3712509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3712614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3712616Z 2025-09-07T08:45:21.3712716Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3712922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3712996Z return mod(*inputs) 2025-09-07T08:45:21.3713195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3713270Z x = self.forward_features(x) 2025-09-07T08:45:21.3713493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3713556Z x = self.blocks(x) 2025-09-07T08:45:21.3713779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3713843Z x = self.conv_dw(x) 2025-09-07T08:45:21.3714049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3714150Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3714357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3714467Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3714469Z 2025-09-07T08:45:21.3714570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3714767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3714830Z return mod(*inputs) 2025-09-07T08:45:21.3715039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3715109Z x = self.forward_features(x) 2025-09-07T08:45:21.3715330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3715401Z x = self.blocks(x) 2025-09-07T08:45:21.3715615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3715703Z x = self.conv_dw(x) 2025-09-07T08:45:21.3715912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3716030Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3716239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3716337Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3716340Z 2025-09-07T08:45:21.3716445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3716630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3716693Z return mod(*inputs) 2025-09-07T08:45:21.3716895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3716968Z x = self.forward_features(x) 2025-09-07T08:45:21.3717197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3717264Z x = self.blocks(x) 2025-09-07T08:45:21.3717481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3717543Z x = self.conv_dw(x) 2025-09-07T08:45:21.3717735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3717841Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3718040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3718145Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3718147Z 2025-09-07T08:45:21.3718246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3718454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3718528Z return mod(*inputs) 2025-09-07T08:45:21.3718725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3718800Z x = self.forward_features(x) 2025-09-07T08:45:21.3719019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3719081Z x = self.blocks(x) 2025-09-07T08:45:21.3719300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3719364Z x = self.conv_dw(x) 2025-09-07T08:45:21.3719564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3719661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3719875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3719975Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3719978Z 2025-09-07T08:45:21.3720078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3720277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3720340Z return mod(*inputs) 2025-09-07T08:45:21.3720546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3720615Z x = self.forward_features(x) 2025-09-07T08:45:21.3720835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3720907Z x = self.blocks(x) 2025-09-07T08:45:21.3721117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3721208Z x = self.conv_dw(x) 2025-09-07T08:45:21.3721415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3721527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3721733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3721830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3721833Z 2025-09-07T08:45:21.3721919Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3721997Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3722080Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3722155Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3722251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3722448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3722513Z return mod(*inputs) 2025-09-07T08:45:21.3722723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3722791Z x = self.forward_features(x) 2025-09-07T08:45:21.3723009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3723082Z x = self.blocks(x) 2025-09-07T08:45:21.3723291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3723360Z x = self.conv_dw(x) 2025-09-07T08:45:21.3723555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3723620Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3723623Z 2025-09-07T08:45:21.3723707Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3723821Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3724013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3724080Z return mod(*inputs) 2025-09-07T08:45:21.3724274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3724351Z x = self.forward_features(x) 2025-09-07T08:45:21.3724570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3724642Z x = self.blocks(x) 2025-09-07T08:45:21.3724853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3724915Z x = self.se(x) 2025-09-07T08:45:21.3725130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3725207Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3725211Z 2025-09-07T08:45:21.3725316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3725501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3725576Z return mod(*inputs) 2025-09-07T08:45:21.3725771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3725841Z x = self.forward_features(x) 2025-09-07T08:45:21.3726065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3726126Z x = self.blocks(x) 2025-09-07T08:45:21.3726343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3726403Z x = self.se(x) 2025-09-07T08:45:21.3726611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3726706Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3726709Z 2025-09-07T08:45:21.3726840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3727036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3727101Z return mod(*inputs) 2025-09-07T08:45:21.3727294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3727374Z x = self.forward_features(x) 2025-09-07T08:45:21.3727591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3727664Z x = self.blocks(x) 2025-09-07T08:45:21.3727875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3727935Z x = self.se(x) 2025-09-07T08:45:21.3728154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3728222Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3728227Z 2025-09-07T08:45:21.3728333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3728515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3728587Z return mod(*inputs) 2025-09-07T08:45:21.3728781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3728849Z x = self.forward_features(x) 2025-09-07T08:45:21.3729071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3729132Z x = self.blocks(x) 2025-09-07T08:45:21.3729347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3729410Z x = self.se(x) 2025-09-07T08:45:21.3729632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3729714Z return x * self.gate(x_se) 2025-09-07T08:45:21.3729716Z 2025-09-07T08:45:21.3729816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3730009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3730071Z return mod(*inputs) 2025-09-07T08:45:21.3730269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3730348Z x = self.forward_features(x) 2025-09-07T08:45:21.3730564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3730634Z x = self.blocks(x) 2025-09-07T08:45:21.3730845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3730908Z x = self.se(x) 2025-09-07T08:45:21.3731129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3731200Z return x * self.gate(x_se) 2025-09-07T08:45:21.3731203Z 2025-09-07T08:45:21.3731309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3731493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3731564Z return mod(*inputs) 2025-09-07T08:45:21.3731759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3731826Z x = self.forward_features(x) 2025-09-07T08:45:21.3732051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3732113Z x = self.blocks(x) 2025-09-07T08:45:21.3732348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3732424Z x = self.se(x) 2025-09-07T08:45:21.3732649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3732725Z return x * self.gate(x_se) 2025-09-07T08:45:21.3732728Z 2025-09-07T08:45:21.3732825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3733016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3733080Z return mod(*inputs) 2025-09-07T08:45:21.3733275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3733352Z x = self.forward_features(x) 2025-09-07T08:45:21.3733565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3733637Z x = self.blocks(x) 2025-09-07T08:45:21.3733848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3733923Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3734117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3734217Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3734424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3734525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3734528Z 2025-09-07T08:45:21.3734631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3734810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3734874Z return mod(*inputs) 2025-09-07T08:45:21.3735094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3735164Z x = self.forward_features(x) 2025-09-07T08:45:21.3735399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3735462Z x = self.blocks(x) 2025-09-07T08:45:21.3735670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3735743Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3735936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3736041Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3736242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3736348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3736353Z 2025-09-07T08:45:21.3736455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3736640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3736713Z return mod(*inputs) 2025-09-07T08:45:21.3736911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3736990Z x = self.forward_features(x) 2025-09-07T08:45:21.3737206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3737268Z x = self.blocks(x) 2025-09-07T08:45:21.3737486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3737552Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3737753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3737869Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3738106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3738213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3738216Z 2025-09-07T08:45:21.3738313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3738503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3738568Z return mod(*inputs) 2025-09-07T08:45:21.3738773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3738841Z x = self.forward_features(x) 2025-09-07T08:45:21.3739061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3739135Z x = self.blocks(x) 2025-09-07T08:45:21.3739349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3739425Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3739620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3739716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3739924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3740019Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3740022Z 2025-09-07T08:45:21.3740111Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3740188Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3740291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3740503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3740571Z return mod(*inputs) 2025-09-07T08:45:21.3740783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3740856Z x = self.forward_features(x) 2025-09-07T08:45:21.3741079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3741150Z x = self.blocks(x) 2025-09-07T08:45:21.3741362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3741437Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3741629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3741705Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3741708Z 2025-09-07T08:45:21.3741807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3741993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3742067Z return mod(*inputs) 2025-09-07T08:45:21.3742266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3742347Z x = self.forward_features(x) 2025-09-07T08:45:21.3742565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3742629Z x = self.blocks(x) 2025-09-07T08:45:21.3742847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3742922Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3742925Z 2025-09-07T08:45:21.3743032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3743219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3743302Z return mod(*inputs) 2025-09-07T08:45:21.3743525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3743607Z x = self.forward_features(x) 2025-09-07T08:45:21.3743833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3743896Z x = self.blocks(x) 2025-09-07T08:45:21.3744109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3744178Z x = self.bn1(x) 2025-09-07T08:45:21.3744371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3744443Z x = self.act(x) 2025-09-07T08:45:21.3744446Z 2025-09-07T08:45:21.3744544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3744736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3744803Z return mod(*inputs) 2025-09-07T08:45:21.3745004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3745081Z x = self.forward_features(x) 2025-09-07T08:45:21.3745302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3745372Z x = self.blocks(x) 2025-09-07T08:45:21.3745581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3745640Z x = self.bn1(x) 2025-09-07T08:45:21.3745840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3745900Z x = self.act(x) 2025-09-07T08:45:21.3745904Z 2025-09-07T08:45:21.3746008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3746207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3746271Z return mod(*inputs) 2025-09-07T08:45:21.3746478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3746545Z x = self.forward_features(x) 2025-09-07T08:45:21.3746768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3746832Z x = self.blocks(x) 2025-09-07T08:45:21.3747037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:45:21.3747105Z x = self.bn2(x) 2025-09-07T08:45:21.3747289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3747355Z x = self.act(x) 2025-09-07T08:45:21.3747358Z 2025-09-07T08:45:21.3747453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3747646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3747713Z return mod(*inputs) 2025-09-07T08:45:21.3747908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3747984Z x = self.forward_features(x) 2025-09-07T08:45:21.3748202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3748271Z x = self.blocks(x) 2025-09-07T08:45:21.3748480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:45:21.3748539Z x = self.bn2(x) 2025-09-07T08:45:21.3748732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3748791Z x = self.act(x) 2025-09-07T08:45:21.3748810Z 2025-09-07T08:45:21.3748896Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3748993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3749203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3749274Z return mod(*inputs) 2025-09-07T08:45:21.3749472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3749548Z x = self.forward_features(x) 2025-09-07T08:45:21.3749766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3749831Z x = self.blocks(x) 2025-09-07T08:45:21.3750046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3750104Z x = self.se(x) 2025-09-07T08:45:21.3750320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3750397Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3750400Z 2025-09-07T08:45:21.3750510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3750693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3750758Z return mod(*inputs) 2025-09-07T08:45:21.3750963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3751029Z x = self.forward_features(x) 2025-09-07T08:45:21.3751251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3751316Z x = self.blocks(x) 2025-09-07T08:45:21.3751525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3751596Z x = self.se(x) 2025-09-07T08:45:21.3751818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3751897Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3751901Z 2025-09-07T08:45:21.3751998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3752181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3752254Z return mod(*inputs) 2025-09-07T08:45:21.3752456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3752532Z x = self.forward_features(x) 2025-09-07T08:45:21.3752750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3752816Z x = self.blocks(x) 2025-09-07T08:45:21.3753037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3753099Z x = self.se(x) 2025-09-07T08:45:21.3753320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3753389Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3753392Z 2025-09-07T08:45:21.3753499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3753686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3753750Z return mod(*inputs) 2025-09-07T08:45:21.3753955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3754023Z x = self.forward_features(x) 2025-09-07T08:45:21.3754253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3754317Z x = self.blocks(x) 2025-09-07T08:45:21.3754527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3754613Z x = self.se(x) 2025-09-07T08:45:21.3754839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3754928Z return x * self.gate(x_se) 2025-09-07T08:45:21.3754931Z 2025-09-07T08:45:21.3755028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3755211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3755286Z return mod(*inputs) 2025-09-07T08:45:21.3755484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3755560Z x = self.forward_features(x) 2025-09-07T08:45:21.3755773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3755845Z x = self.blocks(x) 2025-09-07T08:45:21.3756057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3756119Z x = self.se(x) 2025-09-07T08:45:21.3756340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3756408Z return x * self.gate(x_se) 2025-09-07T08:45:21.3756411Z 2025-09-07T08:45:21.3756518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3756701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3756767Z return mod(*inputs) 2025-09-07T08:45:21.3756972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3757042Z x = self.forward_features(x) 2025-09-07T08:45:21.3757266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3757332Z x = self.blocks(x) 2025-09-07T08:45:21.3757557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3757631Z x = self.se(x) 2025-09-07T08:45:21.3757841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3757917Z return x * self.gate(x_se) 2025-09-07T08:45:21.3757920Z 2025-09-07T08:45:21.3758020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3758203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3758275Z return mod(*inputs) 2025-09-07T08:45:21.3758471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3758546Z x = self.forward_features(x) 2025-09-07T08:45:21.3758763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3758836Z x = self.blocks(x) 2025-09-07T08:45:21.3759045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3759113Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3759116Z 2025-09-07T08:45:21.3759219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3759400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3759470Z return mod(*inputs) 2025-09-07T08:45:21.3759667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3759736Z x = self.forward_features(x) 2025-09-07T08:45:21.3759961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3760025Z x = self.blocks(x) 2025-09-07T08:45:21.3760275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3760376Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3760379Z 2025-09-07T08:45:21.3760476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3760665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3760727Z return mod(*inputs) 2025-09-07T08:45:21.3760929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3760998Z x = self.forward_features(x) 2025-09-07T08:45:21.3761215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3761285Z x = self.blocks(x) 2025-09-07T08:45:21.3761493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3761567Z x = self.conv_pw(x) 2025-09-07T08:45:21.3761759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3761869Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3762069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3762169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3762172Z 2025-09-07T08:45:21.3762280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3762462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3762533Z return mod(*inputs) 2025-09-07T08:45:21.3762726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3762796Z x = self.forward_features(x) 2025-09-07T08:45:21.3763037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3763102Z x = self.blocks(x) 2025-09-07T08:45:21.3763327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3763390Z x = self.conv_pw(x) 2025-09-07T08:45:21.3763589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3763694Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3763898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3764007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3764010Z 2025-09-07T08:45:21.3764108Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3764303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3764371Z return mod(*inputs) 2025-09-07T08:45:21.3764572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3764651Z x = self.forward_features(x) 2025-09-07T08:45:21.3764873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3764947Z x = self.blocks(x) 2025-09-07T08:45:21.3765159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3765224Z x = self.conv_pw(x) 2025-09-07T08:45:21.3765437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3765535Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3765747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3765875Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3765890Z 2025-09-07T08:45:21.3765996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3766181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3766244Z return mod(*inputs) 2025-09-07T08:45:21.3766448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3766516Z x = self.forward_features(x) 2025-09-07T08:45:21.3766746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3766811Z x = self.blocks(x) 2025-09-07T08:45:21.3767025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3767102Z x = self.conv_pw(x) 2025-09-07T08:45:21.3767298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3767407Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3767608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3767705Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3767707Z 2025-09-07T08:45:21.3767794Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3767874Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3767982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3768168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3768231Z return mod(*inputs) 2025-09-07T08:45:21.3768437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3768523Z x = self.forward_features(x) 2025-09-07T08:45:21.3768755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3768820Z x = self.blocks(x) 2025-09-07T08:45:21.3769036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3769102Z x = self.conv_pw(x) 2025-09-07T08:45:21.3769291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3769367Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3769370Z 2025-09-07T08:45:21.3769468Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3769660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3769722Z return mod(*inputs) 2025-09-07T08:45:21.3769920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3770000Z x = self.forward_features(x) 2025-09-07T08:45:21.3770219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3770289Z x = self.blocks(x) 2025-09-07T08:45:21.3770496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3770558Z x = self.conv_dw(x) 2025-09-07T08:45:21.3770756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3770854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3771057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3771154Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3771170Z 2025-09-07T08:45:21.3771279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3771493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3771560Z return mod(*inputs) 2025-09-07T08:45:21.3771766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3771836Z x = self.forward_features(x) 2025-09-07T08:45:21.3772057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3772119Z x = self.blocks(x) 2025-09-07T08:45:21.3772329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3772401Z x = self.conv_dw(x) 2025-09-07T08:45:21.3772590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3772700Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3772899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3772998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3773001Z 2025-09-07T08:45:21.3773110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3773295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3773364Z return mod(*inputs) 2025-09-07T08:45:21.3773560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3773640Z x = self.forward_features(x) 2025-09-07T08:45:21.3773858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3773922Z x = self.blocks(x) 2025-09-07T08:45:21.3774157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3774222Z x = self.conv_dw(x) 2025-09-07T08:45:21.3774422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3774520Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3774723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3774828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3774831Z 2025-09-07T08:45:21.3774929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3775124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3775191Z return mod(*inputs) 2025-09-07T08:45:21.3775393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3775472Z x = self.forward_features(x) 2025-09-07T08:45:21.3775697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3775770Z x = self.blocks(x) 2025-09-07T08:45:21.3775986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3776049Z x = self.conv_dw(x) 2025-09-07T08:45:21.3776253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3776349Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3776562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3776662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3776679Z 2025-09-07T08:45:21.3776787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3776984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3777063Z return mod(*inputs) 2025-09-07T08:45:21.3777270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3777338Z x = self.forward_features(x) 2025-09-07T08:45:21.3777564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3777627Z x = self.blocks(x) 2025-09-07T08:45:21.3777837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3777912Z x = self.conv_dw(x) 2025-09-07T08:45:21.3778104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3778216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3778417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3778517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3778526Z 2025-09-07T08:45:21.3778623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3778806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3778878Z return mod(*inputs) 2025-09-07T08:45:21.3779074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3779151Z x = self.forward_features(x) 2025-09-07T08:45:21.3779369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3779434Z x = self.blocks(x) 2025-09-07T08:45:21.3779668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3779736Z x = self.conv_dw(x) 2025-09-07T08:45:21.3779939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3780036Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3780236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3780344Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3780347Z 2025-09-07T08:45:21.3780446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3780640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3780706Z return mod(*inputs) 2025-09-07T08:45:21.3780912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3780984Z x = self.forward_features(x) 2025-09-07T08:45:21.3781208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3781280Z x = self.blocks(x) 2025-09-07T08:45:21.3781493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3781565Z x = self.conv_dw(x) 2025-09-07T08:45:21.3781797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3781898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3782110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3782208Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3782248Z 2025-09-07T08:45:21.3782358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3782564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3782650Z return mod(*inputs) 2025-09-07T08:45:21.3782860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3782932Z x = self.forward_features(x) 2025-09-07T08:45:21.3783157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3783220Z x = self.blocks(x) 2025-09-07T08:45:21.3783431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3783502Z x = self.conv_dw(x) 2025-09-07T08:45:21.3783692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3783801Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3784006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3784115Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3784118Z 2025-09-07T08:45:21.3784197Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3784276Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3784361Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3784434Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3784542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3784729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3784793Z return mod(*inputs) 2025-09-07T08:45:21.3784999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3785090Z x = self.forward_features(x) 2025-09-07T08:45:21.3785318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3785382Z x = self.blocks(x) 2025-09-07T08:45:21.3785591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3785662Z x = self.conv_dw(x) 2025-09-07T08:45:21.3785851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3785926Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3785929Z 2025-09-07T08:45:21.3786005Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3786103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3786293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3786355Z return mod(*inputs) 2025-09-07T08:45:21.3786563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3786636Z x = self.forward_features(x) 2025-09-07T08:45:21.3786854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3786923Z x = self.blocks(x) 2025-09-07T08:45:21.3787133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3787201Z x = self.se(x) 2025-09-07T08:45:21.3787408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3787490Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3787493Z 2025-09-07T08:45:21.3787590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3787772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3787864Z return mod(*inputs) 2025-09-07T08:45:21.3788081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3788169Z x = self.forward_features(x) 2025-09-07T08:45:21.3788388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3788452Z x = self.blocks(x) 2025-09-07T08:45:21.3788670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3788730Z x = self.se(x) 2025-09-07T08:45:21.3788945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3789013Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3789016Z 2025-09-07T08:45:21.3789111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3789309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3789375Z return mod(*inputs) 2025-09-07T08:45:21.3789589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3789659Z x = self.forward_features(x) 2025-09-07T08:45:21.3789886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3789950Z x = self.blocks(x) 2025-09-07T08:45:21.3790158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3790229Z x = self.se(x) 2025-09-07T08:45:21.3790434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3790508Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3790511Z 2025-09-07T08:45:21.3790609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3790807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3790884Z return mod(*inputs) 2025-09-07T08:45:21.3791080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3791158Z x = self.forward_features(x) 2025-09-07T08:45:21.3791374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3791435Z x = self.blocks(x) 2025-09-07T08:45:21.3791649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3791709Z x = self.se(x) 2025-09-07T08:45:21.3791925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3791995Z return x * self.gate(x_se) 2025-09-07T08:45:21.3791999Z 2025-09-07T08:45:21.3792097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3792289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3792355Z return mod(*inputs) 2025-09-07T08:45:21.3792560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3792629Z x = self.forward_features(x) 2025-09-07T08:45:21.3792852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3792914Z x = self.blocks(x) 2025-09-07T08:45:21.3793123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3793188Z x = self.se(x) 2025-09-07T08:45:21.3793393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3793489Z return x * self.gate(x_se) 2025-09-07T08:45:21.3793493Z 2025-09-07T08:45:21.3793607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3793807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3793882Z return mod(*inputs) 2025-09-07T08:45:21.3794078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3794153Z x = self.forward_features(x) 2025-09-07T08:45:21.3794368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3794431Z x = self.blocks(x) 2025-09-07T08:45:21.3794648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3794708Z x = self.se(x) 2025-09-07T08:45:21.3794925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3794995Z return x * self.gate(x_se) 2025-09-07T08:45:21.3794998Z 2025-09-07T08:45:21.3795088Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3795187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3795370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3795442Z return mod(*inputs) 2025-09-07T08:45:21.3795640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3795714Z x = self.forward_features(x) 2025-09-07T08:45:21.3795932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3795994Z x = self.blocks(x) 2025-09-07T08:45:21.3796212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3796293Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3796495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3796599Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3796804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3796916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3796918Z 2025-09-07T08:45:21.3797020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3797213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3797281Z return mod(*inputs) 2025-09-07T08:45:21.3797480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3797560Z x = self.forward_features(x) 2025-09-07T08:45:21.3797781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3797859Z x = self.blocks(x) 2025-09-07T08:45:21.3798072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3798148Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3798341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3798444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3798652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3798752Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3798755Z 2025-09-07T08:45:21.3798845Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3798944Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3799146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3799249Z return mod(*inputs) 2025-09-07T08:45:21.3799447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3799524Z x = self.forward_features(x) 2025-09-07T08:45:21.3799743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3799806Z x = self.blocks(x) 2025-09-07T08:45:21.3800024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3800091Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3800291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3800390Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3800595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3800704Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3800707Z 2025-09-07T08:45:21.3800805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3800997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3801062Z return mod(*inputs) 2025-09-07T08:45:21.3801266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3801334Z x = self.forward_features(x) 2025-09-07T08:45:21.3801551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3801623Z x = self.blocks(x) 2025-09-07T08:45:21.3801861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3801937Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3802129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3802229Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3802437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3802534Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3802537Z 2025-09-07T08:45:21.3802624Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3802704Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3802802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3802999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3803064Z return mod(*inputs) 2025-09-07T08:45:21.3803273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3803347Z x = self.forward_features(x) 2025-09-07T08:45:21.3803573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3803637Z x = self.blocks(x) 2025-09-07T08:45:21.3803846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3803920Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3804114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3804188Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3804191Z 2025-09-07T08:45:21.3804289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3804473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3804563Z return mod(*inputs) 2025-09-07T08:45:21.3804773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3804863Z x = self.forward_features(x) 2025-09-07T08:45:21.3805088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3805153Z x = self.blocks(x) 2025-09-07T08:45:21.3805376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3805449Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3805452Z 2025-09-07T08:45:21.3805559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3805745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3805817Z return mod(*inputs) 2025-09-07T08:45:21.3806018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3806089Z x = self.forward_features(x) 2025-09-07T08:45:21.3806320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3806384Z x = self.blocks(x) 2025-09-07T08:45:21.3806603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3806669Z x = self.conv_pw(x) 2025-09-07T08:45:21.3806865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3806972Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3807177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3807285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3807290Z 2025-09-07T08:45:21.3807402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3807587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3807662Z return mod(*inputs) 2025-09-07T08:45:21.3807860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3807933Z x = self.forward_features(x) 2025-09-07T08:45:21.3808153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3808215Z x = self.blocks(x) 2025-09-07T08:45:21.3808432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3808494Z x = self.conv_pw(x) 2025-09-07T08:45:21.3808694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3808792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3809000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3809096Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3809098Z 2025-09-07T08:45:21.3809197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3809388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3809455Z return mod(*inputs) 2025-09-07T08:45:21.3809659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3809726Z x = self.forward_features(x) 2025-09-07T08:45:21.3809947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3810017Z x = self.blocks(x) 2025-09-07T08:45:21.3810249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3810347Z x = self.conv_pw(x) 2025-09-07T08:45:21.3810539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3810636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3810841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3810937Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3810940Z 2025-09-07T08:45:21.3811045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3811230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3811302Z return mod(*inputs) 2025-09-07T08:45:21.3811499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3811570Z x = self.forward_features(x) 2025-09-07T08:45:21.3811795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3811859Z x = self.blocks(x) 2025-09-07T08:45:21.3812076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3812138Z x = self.conv_pw(x) 2025-09-07T08:45:21.3812330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3812438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3812637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3812740Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3812744Z 2025-09-07T08:45:21.3812836Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3812913Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3813022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3813207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3813278Z return mod(*inputs) 2025-09-07T08:45:21.3813475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3813553Z x = self.forward_features(x) 2025-09-07T08:45:21.3813769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3813831Z x = self.blocks(x) 2025-09-07T08:45:21.3814050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3814115Z x = self.conv_pw(x) 2025-09-07T08:45:21.3814317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3814385Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3814390Z 2025-09-07T08:45:21.3814489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3814692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3814754Z return mod(*inputs) 2025-09-07T08:45:21.3814961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3815034Z x = self.forward_features(x) 2025-09-07T08:45:21.3815253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3815327Z x = self.blocks(x) 2025-09-07T08:45:21.3815537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3815626Z x = self.conv_dw(x) 2025-09-07T08:45:21.3815840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3815954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3816169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3816266Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3816269Z 2025-09-07T08:45:21.3816376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3816563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3816636Z return mod(*inputs) 2025-09-07T08:45:21.3816835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3816905Z x = self.forward_features(x) 2025-09-07T08:45:21.3817137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3817203Z x = self.blocks(x) 2025-09-07T08:45:21.3817426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3817490Z x = self.conv_dw(x) 2025-09-07T08:45:21.3817685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3817789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3817993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3818102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3818105Z 2025-09-07T08:45:21.3818202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3818394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3818474Z return mod(*inputs) 2025-09-07T08:45:21.3818672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3818754Z x = self.forward_features(x) 2025-09-07T08:45:21.3818973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3819041Z x = self.blocks(x) 2025-09-07T08:45:21.3819252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3819316Z x = self.conv_dw(x) 2025-09-07T08:45:21.3819517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3819612Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3819819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3819917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3819922Z 2025-09-07T08:45:21.3820020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3820214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3820276Z return mod(*inputs) 2025-09-07T08:45:21.3820480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3820550Z x = self.forward_features(x) 2025-09-07T08:45:21.3820769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3820837Z x = self.blocks(x) 2025-09-07T08:45:21.3821045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3821140Z x = self.conv_dw(x) 2025-09-07T08:45:21.3821335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3821477Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3821675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3821770Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3821773Z 2025-09-07T08:45:21.3821881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3822064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3822134Z return mod(*inputs) 2025-09-07T08:45:21.3822329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3822399Z x = self.forward_features(x) 2025-09-07T08:45:21.3822624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3822690Z x = self.blocks(x) 2025-09-07T08:45:21.3822907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3822970Z x = self.conv_dw(x) 2025-09-07T08:45:21.3823158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3823264Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3823460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3823562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3823565Z 2025-09-07T08:45:21.3823661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3823849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3823927Z return mod(*inputs) 2025-09-07T08:45:21.3824126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3824207Z x = self.forward_features(x) 2025-09-07T08:45:21.3824426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3824497Z x = self.blocks(x) 2025-09-07T08:45:21.3824704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3824767Z x = self.conv_dw(x) 2025-09-07T08:45:21.3824964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3825062Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3825269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3825370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3825374Z 2025-09-07T08:45:21.3825480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3825668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3825732Z return mod(*inputs) 2025-09-07T08:45:21.3825936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3826005Z x = self.forward_features(x) 2025-09-07T08:45:21.3826232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3826293Z x = self.blocks(x) 2025-09-07T08:45:21.3826506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3826581Z x = self.conv_dw(x) 2025-09-07T08:45:21.3826790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3826925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3827128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3827222Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3827225Z 2025-09-07T08:45:21.3827332Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3827515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3827586Z return mod(*inputs) 2025-09-07T08:45:21.3827782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3827850Z x = self.forward_features(x) 2025-09-07T08:45:21.3828080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3828146Z x = self.blocks(x) 2025-09-07T08:45:21.3828370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3828435Z x = self.conv_dw(x) 2025-09-07T08:45:21.3828636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3828731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3828931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3829036Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3829039Z 2025-09-07T08:45:21.3829116Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3829200Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3829276Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3829365Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3829478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3829665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3829736Z return mod(*inputs) 2025-09-07T08:45:21.3829932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3830000Z x = self.forward_features(x) 2025-09-07T08:45:21.3830224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3830286Z x = self.blocks(x) 2025-09-07T08:45:21.3830503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3830565Z x = self.conv_dw(x) 2025-09-07T08:45:21.3830761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3830836Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3830839Z 2025-09-07T08:45:21.3830919Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3831027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3831211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3831283Z return mod(*inputs) 2025-09-07T08:45:21.3831478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3831547Z x = self.forward_features(x) 2025-09-07T08:45:21.3831768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3831832Z x = self.blocks(x) 2025-09-07T08:45:21.3832049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3832124Z x = self.se(x) 2025-09-07T08:45:21.3832349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3832447Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3832450Z 2025-09-07T08:45:21.3832548Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3832744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3832806Z return mod(*inputs) 2025-09-07T08:45:21.3833004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3833079Z x = self.forward_features(x) 2025-09-07T08:45:21.3833293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3833361Z x = self.blocks(x) 2025-09-07T08:45:21.3833571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3833631Z x = self.se(x) 2025-09-07T08:45:21.3833849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3833917Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3833920Z 2025-09-07T08:45:21.3834027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3834210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3834284Z return mod(*inputs) 2025-09-07T08:45:21.3834482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3834550Z x = self.forward_features(x) 2025-09-07T08:45:21.3834775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3834836Z x = self.blocks(x) 2025-09-07T08:45:21.3835065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3835129Z x = self.se(x) 2025-09-07T08:45:21.3835337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3835413Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3835416Z 2025-09-07T08:45:21.3835515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3835704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3835768Z return mod(*inputs) 2025-09-07T08:45:21.3835966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3836044Z x = self.forward_features(x) 2025-09-07T08:45:21.3836258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3836329Z x = self.blocks(x) 2025-09-07T08:45:21.3836540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3836603Z x = self.se(x) 2025-09-07T08:45:21.3836820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3836888Z return x * self.gate(x_se) 2025-09-07T08:45:21.3836891Z 2025-09-07T08:45:21.3836996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3837180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3837255Z return mod(*inputs) 2025-09-07T08:45:21.3837454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3837523Z x = self.forward_features(x) 2025-09-07T08:45:21.3837748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3837825Z x = self.blocks(x) 2025-09-07T08:45:21.3838076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3838138Z x = self.se(x) 2025-09-07T08:45:21.3838348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3838424Z return x * self.gate(x_se) 2025-09-07T08:45:21.3838427Z 2025-09-07T08:45:21.3838527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3838723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3838785Z return mod(*inputs) 2025-09-07T08:45:21.3838985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3839062Z x = self.forward_features(x) 2025-09-07T08:45:21.3839286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3839359Z x = self.blocks(x) 2025-09-07T08:45:21.3839568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3839629Z x = self.se(x) 2025-09-07T08:45:21.3839849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3839921Z return x * self.gate(x_se) 2025-09-07T08:45:21.3839923Z 2025-09-07T08:45:21.3840029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3840216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3840287Z return mod(*inputs) 2025-09-07T08:45:21.3840486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3840574Z x = self.forward_features(x) 2025-09-07T08:45:21.3840802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3840866Z x = self.blocks(x) 2025-09-07T08:45:21.3841082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3841147Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3841337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3841448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3841649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3841758Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3841761Z 2025-09-07T08:45:21.3841857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3842054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3842122Z return mod(*inputs) 2025-09-07T08:45:21.3842319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3842397Z x = self.forward_features(x) 2025-09-07T08:45:21.3842614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3842685Z x = self.blocks(x) 2025-09-07T08:45:21.3842894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3842958Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3843160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3843261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3843487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3843621Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3843624Z 2025-09-07T08:45:21.3843721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3843914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3843976Z return mod(*inputs) 2025-09-07T08:45:21.3844181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3844249Z x = self.forward_features(x) 2025-09-07T08:45:21.3844464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3844534Z x = self.blocks(x) 2025-09-07T08:45:21.3844747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3844823Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3845016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3845123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3845326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3845425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3845428Z 2025-09-07T08:45:21.3845534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3845717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3845788Z return mod(*inputs) 2025-09-07T08:45:21.3845986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3846087Z x = self.forward_features(x) 2025-09-07T08:45:21.3846317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3846382Z x = self.blocks(x) 2025-09-07T08:45:21.3846600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3846665Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3846856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3846957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3847158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3847260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3847262Z 2025-09-07T08:45:21.3847343Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3847431Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3847530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3847718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3847790Z return mod(*inputs) 2025-09-07T08:45:21.3847986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3848063Z x = self.forward_features(x) 2025-09-07T08:45:21.3848283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3848346Z x = self.blocks(x) 2025-09-07T08:45:21.3848566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3848632Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3848832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3848915Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3848918Z 2025-09-07T08:45:21.3849048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3849241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3849307Z return mod(*inputs) 2025-09-07T08:45:21.3849510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3849578Z x = self.forward_features(x) 2025-09-07T08:45:21.3849793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3849862Z x = self.blocks(x) 2025-09-07T08:45:21.3850070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3850148Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3850153Z 2025-09-07T08:45:21.3850251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3850444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3850513Z return mod(*inputs) 2025-09-07T08:45:21.3850709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3850785Z x = self.forward_features(x) 2025-09-07T08:45:21.3851003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3851074Z x = self.blocks(x) 2025-09-07T08:45:21.3851284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3851347Z x = self.conv_pw(x) 2025-09-07T08:45:21.3851548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3851662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3851879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3851980Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3851983Z 2025-09-07T08:45:21.3852080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3852275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3852339Z return mod(*inputs) 2025-09-07T08:45:21.3852544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3852612Z x = self.forward_features(x) 2025-09-07T08:45:21.3852835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3852899Z x = self.blocks(x) 2025-09-07T08:45:21.3853113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3853189Z x = self.conv_pw(x) 2025-09-07T08:45:21.3853382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3853486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3853683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3853780Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3853782Z 2025-09-07T08:45:21.3853886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3854070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3854140Z return mod(*inputs) 2025-09-07T08:45:21.3854336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3854422Z x = self.forward_features(x) 2025-09-07T08:45:21.3854664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3854742Z x = self.blocks(x) 2025-09-07T08:45:21.3854965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3855030Z x = self.conv_pw(x) 2025-09-07T08:45:21.3855235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3855334Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3855537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3855643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3855647Z 2025-09-07T08:45:21.3855747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3855942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3856009Z return mod(*inputs) 2025-09-07T08:45:21.3856209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3856287Z x = self.forward_features(x) 2025-09-07T08:45:21.3856510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3856579Z x = self.blocks(x) 2025-09-07T08:45:21.3856794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3856856Z x = self.conv_pw(x) 2025-09-07T08:45:21.3857058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3857172Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3857382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3857482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3857485Z 2025-09-07T08:45:21.3857570Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3857647Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3857744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3857937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3858000Z return mod(*inputs) 2025-09-07T08:45:21.3858200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3858268Z x = self.forward_features(x) 2025-09-07T08:45:21.3858483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3858559Z x = self.blocks(x) 2025-09-07T08:45:21.3858776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:45:21.3858849Z x = self.conv_pw(x) 2025-09-07T08:45:21.3859044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3859111Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3859114Z 2025-09-07T08:45:21.3859220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3859403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3859474Z return mod(*inputs) 2025-09-07T08:45:21.3859671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3859741Z x = self.forward_features(x) 2025-09-07T08:45:21.3859984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3860061Z x = self.blocks(x) 2025-09-07T08:45:21.3860294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3860357Z x = self.conv_dw(x) 2025-09-07T08:45:21.3860554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3860653Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3860851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3860954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3860957Z 2025-09-07T08:45:21.3861054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3861247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3861314Z return mod(*inputs) 2025-09-07T08:45:21.3861512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3861591Z x = self.forward_features(x) 2025-09-07T08:45:21.3861805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3861875Z x = self.blocks(x) 2025-09-07T08:45:21.3862082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3862144Z x = self.conv_dw(x) 2025-09-07T08:45:21.3862343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3862439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3862658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3862758Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3862764Z 2025-09-07T08:45:21.3862869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3863055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3863118Z return mod(*inputs) 2025-09-07T08:45:21.3863327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3863397Z x = self.forward_features(x) 2025-09-07T08:45:21.3863625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3863689Z x = self.blocks(x) 2025-09-07T08:45:21.3863900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3863975Z x = self.conv_dw(x) 2025-09-07T08:45:21.3864170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3864283Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3864484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3864581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3864591Z 2025-09-07T08:45:21.3864688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3864877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3864956Z return mod(*inputs) 2025-09-07T08:45:21.3865154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3865235Z x = self.forward_features(x) 2025-09-07T08:45:21.3865480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3865543Z x = self.blocks(x) 2025-09-07T08:45:21.3865791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3865855Z x = self.conv_dw(x) 2025-09-07T08:45:21.3866058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3866156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3866366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3866472Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3866475Z 2025-09-07T08:45:21.3866573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3866768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3866836Z return mod(*inputs) 2025-09-07T08:45:21.3867036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3867114Z x = self.forward_features(x) 2025-09-07T08:45:21.3867337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3867408Z x = self.blocks(x) 2025-09-07T08:45:21.3867621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3867691Z x = self.conv_dw(x) 2025-09-07T08:45:21.3867887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3867987Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3868205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3868318Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3868324Z 2025-09-07T08:45:21.3868430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3868614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3868677Z return mod(*inputs) 2025-09-07T08:45:21.3868878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3868947Z x = self.forward_features(x) 2025-09-07T08:45:21.3869172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3869235Z x = self.blocks(x) 2025-09-07T08:45:21.3869442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3869513Z x = self.conv_dw(x) 2025-09-07T08:45:21.3869705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3869812Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3870012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3870116Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3870120Z 2025-09-07T08:45:21.3870216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3870401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3870474Z return mod(*inputs) 2025-09-07T08:45:21.3870668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3870743Z x = self.forward_features(x) 2025-09-07T08:45:21.3870961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3871040Z x = self.blocks(x) 2025-09-07T08:45:21.3871287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3871350Z x = self.conv_dw(x) 2025-09-07T08:45:21.3871549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3871648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3871848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3871954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3871957Z 2025-09-07T08:45:21.3872053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3872247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3872317Z return mod(*inputs) 2025-09-07T08:45:21.3872523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3872592Z x = self.forward_features(x) 2025-09-07T08:45:21.3872808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3872878Z x = self.blocks(x) 2025-09-07T08:45:21.3873090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3873163Z x = self.conv_dw(x) 2025-09-07T08:45:21.3873351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3873449Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3873657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3873771Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3873774Z 2025-09-07T08:45:21.3873864Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3873943Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3874020Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3874106Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3874205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3874396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3874460Z return mod(*inputs) 2025-09-07T08:45:21.3874660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3874739Z x = self.forward_features(x) 2025-09-07T08:45:21.3874957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3875033Z x = self.blocks(x) 2025-09-07T08:45:21.3875248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3875323Z x = self.conv_dw(x) 2025-09-07T08:45:21.3875514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3875581Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3875584Z 2025-09-07T08:45:21.3875666Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3875765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3875959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3876026Z return mod(*inputs) 2025-09-07T08:45:21.3876223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3876300Z x = self.forward_features(x) 2025-09-07T08:45:21.3876536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3876642Z x = self.blocks(x) 2025-09-07T08:45:21.3876854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3876915Z x = self.se(x) 2025-09-07T08:45:21.3877131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3877204Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3877207Z 2025-09-07T08:45:21.3877317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3877503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3877567Z return mod(*inputs) 2025-09-07T08:45:21.3877775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3877848Z x = self.forward_features(x) 2025-09-07T08:45:21.3878074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3878139Z x = self.blocks(x) 2025-09-07T08:45:21.3878365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3878424Z x = self.se(x) 2025-09-07T08:45:21.3878628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3878705Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3878708Z 2025-09-07T08:45:21.3878807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3878997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3879062Z return mod(*inputs) 2025-09-07T08:45:21.3879271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3879352Z x = self.forward_features(x) 2025-09-07T08:45:21.3879574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3879645Z x = self.blocks(x) 2025-09-07T08:45:21.3879858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3879920Z x = self.se(x) 2025-09-07T08:45:21.3880144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3880215Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3880218Z 2025-09-07T08:45:21.3880328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3880514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3880579Z return mod(*inputs) 2025-09-07T08:45:21.3880791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3880865Z x = self.forward_features(x) 2025-09-07T08:45:21.3881093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3881157Z x = self.blocks(x) 2025-09-07T08:45:21.3881375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3881438Z x = self.se(x) 2025-09-07T08:45:21.3881679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3881756Z return x * self.gate(x_se) 2025-09-07T08:45:21.3881759Z 2025-09-07T08:45:21.3881857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3882049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3882146Z return mod(*inputs) 2025-09-07T08:45:21.3882375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3882477Z x = self.forward_features(x) 2025-09-07T08:45:21.3882698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3882765Z x = self.blocks(x) 2025-09-07T08:45:21.3882979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3883040Z x = self.se(x) 2025-09-07T08:45:21.3883259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3883327Z return x * self.gate(x_se) 2025-09-07T08:45:21.3883330Z 2025-09-07T08:45:21.3883437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3883628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3883694Z return mod(*inputs) 2025-09-07T08:45:21.3883908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3883977Z x = self.forward_features(x) 2025-09-07T08:45:21.3884206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3884271Z x = self.blocks(x) 2025-09-07T08:45:21.3884493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3884554Z x = self.se(x) 2025-09-07T08:45:21.3884765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3884842Z return x * self.gate(x_se) 2025-09-07T08:45:21.3884844Z 2025-09-07T08:45:21.3884941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3885159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3885228Z return mod(*inputs) 2025-09-07T08:45:21.3885429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3885508Z x = self.forward_features(x) 2025-09-07T08:45:21.3885725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3885795Z x = self.blocks(x) 2025-09-07T08:45:21.3886005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3886071Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3886276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3886378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3886594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3886696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3886699Z 2025-09-07T08:45:21.3886804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3886987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3887051Z return mod(*inputs) 2025-09-07T08:45:21.3887258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3887325Z x = self.forward_features(x) 2025-09-07T08:45:21.3887554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3887616Z x = self.blocks(x) 2025-09-07T08:45:21.3887825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3887916Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3888137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3888243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3888441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3888538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3888550Z 2025-09-07T08:45:21.3888647Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3888831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3888904Z return mod(*inputs) 2025-09-07T08:45:21.3889103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3889182Z x = self.forward_features(x) 2025-09-07T08:45:21.3889403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3889469Z x = self.blocks(x) 2025-09-07T08:45:21.3889689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3889757Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3889957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3890056Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3890256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3890361Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3890364Z 2025-09-07T08:45:21.3890460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3890669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3890737Z return mod(*inputs) 2025-09-07T08:45:21.3890934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3891011Z x = self.forward_features(x) 2025-09-07T08:45:21.3891231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3891303Z x = self.blocks(x) 2025-09-07T08:45:21.3891514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3891585Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3891775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3891873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3892081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3892180Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3892183Z 2025-09-07T08:45:21.3892270Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3892347Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3892445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3892637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3892700Z return mod(*inputs) 2025-09-07T08:45:21.3892905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3892974Z x = self.forward_features(x) 2025-09-07T08:45:21.3893190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3893282Z x = self.blocks(x) 2025-09-07T08:45:21.3893508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3893596Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3893788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3893854Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3893868Z 2025-09-07T08:45:21.3893967Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3894151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3894224Z return mod(*inputs) 2025-09-07T08:45:21.3894419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3894498Z x = self.forward_features(x) 2025-09-07T08:45:21.3894717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3894780Z x = self.blocks(x) 2025-09-07T08:45:21.3894995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3895069Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3895072Z 2025-09-07T08:45:21.3895175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3895360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3895423Z return mod(*inputs) 2025-09-07T08:45:21.3895624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3895693Z x = self.forward_features(x) 2025-09-07T08:45:21.3895912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3895976Z x = self.blocks(x) 2025-09-07T08:45:21.3896199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3896271Z x = self.bn1(x) 2025-09-07T08:45:21.3896461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3896528Z x = self.act(x) 2025-09-07T08:45:21.3896531Z 2025-09-07T08:45:21.3896627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3896809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3896881Z return mod(*inputs) 2025-09-07T08:45:21.3897076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3897152Z x = self.forward_features(x) 2025-09-07T08:45:21.3897370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3897441Z x = self.blocks(x) 2025-09-07T08:45:21.3897654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3897716Z x = self.bn1(x) 2025-09-07T08:45:21.3897913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3897975Z x = self.act(x) 2025-09-07T08:45:21.3897978Z 2025-09-07T08:45:21.3898082Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3898268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3898331Z return mod(*inputs) 2025-09-07T08:45:21.3898540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3898609Z x = self.forward_features(x) 2025-09-07T08:45:21.3898835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3898921Z x = self.blocks(x) 2025-09-07T08:45:21.3899152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3899239Z x = self.conv_dw(x) 2025-09-07T08:45:21.3899433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3899543Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3899747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3899845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3899855Z 2025-09-07T08:45:21.3899953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3900136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3900213Z return mod(*inputs) 2025-09-07T08:45:21.3900413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3900492Z x = self.forward_features(x) 2025-09-07T08:45:21.3900709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3900772Z x = self.blocks(x) 2025-09-07T08:45:21.3900988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3901053Z x = self.conv_dw(x) 2025-09-07T08:45:21.3901256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3901355Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3901557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3901679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3901682Z 2025-09-07T08:45:21.3901785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3901979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3902042Z return mod(*inputs) 2025-09-07T08:45:21.3902247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3902316Z x = self.forward_features(x) 2025-09-07T08:45:21.3902533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3902603Z x = self.blocks(x) 2025-09-07T08:45:21.3902813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3902887Z x = self.conv_dw(x) 2025-09-07T08:45:21.3903079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3903181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3903390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3903486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3903489Z 2025-09-07T08:45:21.3903620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3903803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3903869Z return mod(*inputs) 2025-09-07T08:45:21.3904071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3904142Z x = self.forward_features(x) 2025-09-07T08:45:21.3904368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3904450Z x = self.blocks(x) 2025-09-07T08:45:21.3904681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3904774Z x = self.conv_dw(x) 2025-09-07T08:45:21.3904965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3905072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3905271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3905379Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3905382Z 2025-09-07T08:45:21.3905480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3905666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3905739Z return mod(*inputs) 2025-09-07T08:45:21.3905937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3906015Z x = self.forward_features(x) 2025-09-07T08:45:21.3906235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3906297Z x = self.blocks(x) 2025-09-07T08:45:21.3906515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3906579Z x = self.conv_dw(x) 2025-09-07T08:45:21.3906778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3906878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3907080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3907202Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3907205Z 2025-09-07T08:45:21.3907307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3907500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3907563Z return mod(*inputs) 2025-09-07T08:45:21.3907772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3907840Z x = self.forward_features(x) 2025-09-07T08:45:21.3908056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3908128Z x = self.blocks(x) 2025-09-07T08:45:21.3908338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3911874Z x = self.conv_dw(x) 2025-09-07T08:45:21.3912098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3912206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3912425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3912526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3912530Z 2025-09-07T08:45:21.3912639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3912827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3912892Z return mod(*inputs) 2025-09-07T08:45:21.3913103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3913172Z x = self.forward_features(x) 2025-09-07T08:45:21.3913409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3913533Z x = self.blocks(x) 2025-09-07T08:45:21.3913764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3913835Z x = self.conv_dw(x) 2025-09-07T08:45:21.3914028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3914127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3914335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3914434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3914437Z 2025-09-07T08:45:21.3914545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3914732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3914806Z return mod(*inputs) 2025-09-07T08:45:21.3915006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3915077Z x = self.forward_features(x) 2025-09-07T08:45:21.3915305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3915370Z x = self.blocks(x) 2025-09-07T08:45:21.3915590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3915653Z x = self.conv_dw(x) 2025-09-07T08:45:21.3915845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3915950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3916151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3916260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3916278Z 2025-09-07T08:45:21.3916360Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3916447Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3916525Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3916599Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3916705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3916893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3916958Z return mod(*inputs) 2025-09-07T08:45:21.3917165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3917236Z x = self.forward_features(x) 2025-09-07T08:45:21.3917465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3917584Z x = self.blocks(x) 2025-09-07T08:45:21.3917812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3917880Z x = self.conv_dw(x) 2025-09-07T08:45:21.3918074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3918158Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3918161Z 2025-09-07T08:45:21.3918240Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3918346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3918532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3918598Z return mod(*inputs) 2025-09-07T08:45:21.3918806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3918875Z x = self.forward_features(x) 2025-09-07T08:45:21.3919107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3919187Z x = self.blocks(x) 2025-09-07T08:45:21.3919410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3919482Z x = self.se(x) 2025-09-07T08:45:21.3919693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3919773Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3919776Z 2025-09-07T08:45:21.3919876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3920070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3920135Z return mod(*inputs) 2025-09-07T08:45:21.3920335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3920418Z x = self.forward_features(x) 2025-09-07T08:45:21.3920645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3920718Z x = self.blocks(x) 2025-09-07T08:45:21.3920935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3920997Z x = self.se(x) 2025-09-07T08:45:21.3921215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3921288Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3921291Z 2025-09-07T08:45:21.3921396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3921580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3921643Z return mod(*inputs) 2025-09-07T08:45:21.3921851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3921939Z x = self.forward_features(x) 2025-09-07T08:45:21.3922170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3922236Z x = self.blocks(x) 2025-09-07T08:45:21.3922447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3922516Z x = self.se(x) 2025-09-07T08:45:21.3922723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3922797Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3922800Z 2025-09-07T08:45:21.3922897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3923086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3923152Z return mod(*inputs) 2025-09-07T08:45:21.3923379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3923460Z x = self.forward_features(x) 2025-09-07T08:45:21.3923679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3923749Z x = self.blocks(x) 2025-09-07T08:45:21.3923956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3924014Z x = self.se(x) 2025-09-07T08:45:21.3924226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3924295Z return x * self.gate(x_se) 2025-09-07T08:45:21.3924297Z 2025-09-07T08:45:21.3924402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3924588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3924654Z return mod(*inputs) 2025-09-07T08:45:21.3924871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3924954Z x = self.forward_features(x) 2025-09-07T08:45:21.3925179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3925240Z x = self.blocks(x) 2025-09-07T08:45:21.3925450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3925516Z x = self.se(x) 2025-09-07T08:45:21.3925725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3925798Z return x * self.gate(x_se) 2025-09-07T08:45:21.3925801Z 2025-09-07T08:45:21.3925897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3926094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3926159Z return mod(*inputs) 2025-09-07T08:45:21.3926358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3926435Z x = self.forward_features(x) 2025-09-07T08:45:21.3926653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3926720Z x = self.blocks(x) 2025-09-07T08:45:21.3926932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3926993Z x = self.se(x) 2025-09-07T08:45:21.3927209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3927276Z return x * self.gate(x_se) 2025-09-07T08:45:21.3927279Z 2025-09-07T08:45:21.3927385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3927585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3927649Z return mod(*inputs) 2025-09-07T08:45:21.3927858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3927925Z x = self.forward_features(x) 2025-09-07T08:45:21.3928153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3928216Z x = self.blocks(x) 2025-09-07T08:45:21.3928427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3928499Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3928502Z 2025-09-07T08:45:21.3928601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3928794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3928876Z return mod(*inputs) 2025-09-07T08:45:21.3929085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3929155Z x = self.forward_features(x) 2025-09-07T08:45:21.3929377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3929446Z x = self.blocks(x) 2025-09-07T08:45:21.3929658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3929734Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3929737Z 2025-09-07T08:45:21.3929837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3930024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3930098Z return mod(*inputs) 2025-09-07T08:45:21.3930302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3930405Z x = self.forward_features(x) 2025-09-07T08:45:21.3930644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3930708Z x = self.blocks(x) 2025-09-07T08:45:21.3930927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3930986Z x = self.bn1(x) 2025-09-07T08:45:21.3931185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3931245Z x = self.act(x) 2025-09-07T08:45:21.3931248Z 2025-09-07T08:45:21.3931354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3931534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3931598Z return mod(*inputs) 2025-09-07T08:45:21.3931808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3931877Z x = self.forward_features(x) 2025-09-07T08:45:21.3932103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3932166Z x = self.blocks(x) 2025-09-07T08:45:21.3932376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3932449Z x = self.bn1(x) 2025-09-07T08:45:21.3932637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3932705Z x = self.act(x) 2025-09-07T08:45:21.3932708Z 2025-09-07T08:45:21.3932807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3932989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3933062Z return mod(*inputs) 2025-09-07T08:45:21.3933277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3933353Z x = self.forward_features(x) 2025-09-07T08:45:21.3933576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3933639Z x = self.blocks(x) 2025-09-07T08:45:21.3933861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3933926Z x = self.conv_dw(x) 2025-09-07T08:45:21.3934130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3934234Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3934449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3934569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3934573Z 2025-09-07T08:45:21.3934674Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3934870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3934935Z return mod(*inputs) 2025-09-07T08:45:21.3935142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3935210Z x = self.forward_features(x) 2025-09-07T08:45:21.3935425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3935497Z x = self.blocks(x) 2025-09-07T08:45:21.3935707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3935781Z x = self.conv_dw(x) 2025-09-07T08:45:21.3935974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3936090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3936325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3936425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3936428Z 2025-09-07T08:45:21.3936534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3936718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3936790Z return mod(*inputs) 2025-09-07T08:45:21.3936984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3937052Z x = self.forward_features(x) 2025-09-07T08:45:21.3937277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3937343Z x = self.blocks(x) 2025-09-07T08:45:21.3937559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3937625Z x = self.conv_dw(x) 2025-09-07T08:45:21.3937816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3937921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3938120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3938223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3938225Z 2025-09-07T08:45:21.3938323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3938505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3938575Z return mod(*inputs) 2025-09-07T08:45:21.3938786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3938867Z x = self.forward_features(x) 2025-09-07T08:45:21.3939089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3939160Z x = self.blocks(x) 2025-09-07T08:45:21.3939373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3939435Z x = self.conv_dw(x) 2025-09-07T08:45:21.3939642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3939740Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3939951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3940066Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3940071Z 2025-09-07T08:45:21.3940171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3940368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3940434Z return mod(*inputs) 2025-09-07T08:45:21.3940637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3940705Z x = self.forward_features(x) 2025-09-07T08:45:21.3940925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3940996Z x = self.blocks(x) 2025-09-07T08:45:21.3941210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3941280Z x = self.conv_dw(x) 2025-09-07T08:45:21.3941472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3941597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3941810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3941907Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3941910Z 2025-09-07T08:45:21.3942016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3942199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3942273Z return mod(*inputs) 2025-09-07T08:45:21.3942468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3942537Z x = self.forward_features(x) 2025-09-07T08:45:21.3942763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3942831Z x = self.blocks(x) 2025-09-07T08:45:21.3943049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3943114Z x = self.conv_dw(x) 2025-09-07T08:45:21.3943309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3943417Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3943614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3943719Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3943722Z 2025-09-07T08:45:21.3943820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3944011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3944078Z return mod(*inputs) 2025-09-07T08:45:21.3944294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3944377Z x = self.forward_features(x) 2025-09-07T08:45:21.3944599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3944671Z x = self.blocks(x) 2025-09-07T08:45:21.3944885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3944949Z x = self.conv_dw(x) 2025-09-07T08:45:21.3945149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3945246Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3945455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3945567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3945572Z 2025-09-07T08:45:21.3945670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3945866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3945929Z return mod(*inputs) 2025-09-07T08:45:21.3946133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3946201Z x = self.forward_features(x) 2025-09-07T08:45:21.3946423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3946485Z x = self.blocks(x) 2025-09-07T08:45:21.3946695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3946769Z x = self.conv_dw(x) 2025-09-07T08:45:21.3946963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3947084Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3947295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3947396Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3947398Z 2025-09-07T08:45:21.3947484Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3947562Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3947646Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3947719Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3947819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3948010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3948074Z return mod(*inputs) 2025-09-07T08:45:21.3948281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3948355Z x = self.forward_features(x) 2025-09-07T08:45:21.3948577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3948645Z x = self.blocks(x) 2025-09-07T08:45:21.3948857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3948930Z x = self.conv_dw(x) 2025-09-07T08:45:21.3949121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3949188Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3949199Z 2025-09-07T08:45:21.3949272Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3949370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3949562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3949625Z return mod(*inputs) 2025-09-07T08:45:21.3949847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3949917Z x = self.forward_features(x) 2025-09-07T08:45:21.3950133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3950206Z x = self.blocks(x) 2025-09-07T08:45:21.3950414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3950484Z x = self.se(x) 2025-09-07T08:45:21.3950689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3950762Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3950765Z 2025-09-07T08:45:21.3950872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3951078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3951154Z return mod(*inputs) 2025-09-07T08:45:21.3951353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3951420Z x = self.forward_features(x) 2025-09-07T08:45:21.3951642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3951703Z x = self.blocks(x) 2025-09-07T08:45:21.3951915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3951976Z x = self.se(x) 2025-09-07T08:45:21.3952180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3952256Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3952259Z 2025-09-07T08:45:21.3952358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3952566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3952630Z return mod(*inputs) 2025-09-07T08:45:21.3952852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3952921Z x = self.forward_features(x) 2025-09-07T08:45:21.3953135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3953207Z x = self.blocks(x) 2025-09-07T08:45:21.3953417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3953489Z x = self.se(x) 2025-09-07T08:45:21.3953693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3953760Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3953765Z 2025-09-07T08:45:21.3953876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3954061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3954137Z return mod(*inputs) 2025-09-07T08:45:21.3954334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3954403Z x = self.forward_features(x) 2025-09-07T08:45:21.3954627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3954690Z x = self.blocks(x) 2025-09-07T08:45:21.3954908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3954968Z x = self.se(x) 2025-09-07T08:45:21.3955173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3955253Z return x * self.gate(x_se) 2025-09-07T08:45:21.3955258Z 2025-09-07T08:45:21.3955369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3955568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3955634Z return mod(*inputs) 2025-09-07T08:45:21.3955839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3955908Z x = self.forward_features(x) 2025-09-07T08:45:21.3956124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3956196Z x = self.blocks(x) 2025-09-07T08:45:21.3956409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3956475Z x = self.se(x) 2025-09-07T08:45:21.3956682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3956768Z return x * self.gate(x_se) 2025-09-07T08:45:21.3956771Z 2025-09-07T08:45:21.3956878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3957064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3957138Z return mod(*inputs) 2025-09-07T08:45:21.3957338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3957406Z x = self.forward_features(x) 2025-09-07T08:45:21.3957634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3957696Z x = self.blocks(x) 2025-09-07T08:45:21.3957912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3957971Z x = self.se(x) 2025-09-07T08:45:21.3958184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3958267Z return x * self.gate(x_se) 2025-09-07T08:45:21.3958270Z 2025-09-07T08:45:21.3958365Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3958473Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3958655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3958727Z return mod(*inputs) 2025-09-07T08:45:21.3958921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3958990Z x = self.forward_features(x) 2025-09-07T08:45:21.3959214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3959278Z x = self.blocks(x) 2025-09-07T08:45:21.3959496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3959565Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3959762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3959872Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3960073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3960182Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3960185Z 2025-09-07T08:45:21.3960283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3960473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3960537Z return mod(*inputs) 2025-09-07T08:45:21.3960734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3960814Z x = self.forward_features(x) 2025-09-07T08:45:21.3961045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3961118Z x = self.blocks(x) 2025-09-07T08:45:21.3961327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3961391Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3961589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3961688Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3961895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3961993Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3961996Z 2025-09-07T08:45:21.3962073Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3962193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3962382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3962454Z return mod(*inputs) 2025-09-07T08:45:21.3962651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3962719Z x = self.forward_features(x) 2025-09-07T08:45:21.3962949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3963011Z x = self.blocks(x) 2025-09-07T08:45:21.3963231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3963298Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3963497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3963597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3963812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3963933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3963936Z 2025-09-07T08:45:21.3964036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3964227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3964292Z return mod(*inputs) 2025-09-07T08:45:21.3964486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3964563Z x = self.forward_features(x) 2025-09-07T08:45:21.3964778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3964851Z x = self.blocks(x) 2025-09-07T08:45:21.3965064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3965132Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3965329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3965428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3965634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3965730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3965733Z 2025-09-07T08:45:21.3965820Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3965899Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3965997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3966190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3966255Z return mod(*inputs) 2025-09-07T08:45:21.3966479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3966552Z x = self.forward_features(x) 2025-09-07T08:45:21.3966771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3966848Z x = self.blocks(x) 2025-09-07T08:45:21.3967060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3967133Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3967327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3967395Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3967398Z 2025-09-07T08:45:21.3967504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3967694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3967790Z return mod(*inputs) 2025-09-07T08:45:21.3967988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3968059Z x = self.forward_features(x) 2025-09-07T08:45:21.3968287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3968351Z x = self.blocks(x) 2025-09-07T08:45:21.3968568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.3968642Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.3968645Z 2025-09-07T08:45:21.3968750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3968936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3969002Z return mod(*inputs) 2025-09-07T08:45:21.3969207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3969294Z x = self.forward_features(x) 2025-09-07T08:45:21.3969533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3969597Z x = self.blocks(x) 2025-09-07T08:45:21.3969804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3969876Z x = self.bn1(x) 2025-09-07T08:45:21.3970063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3970134Z x = self.act(x) 2025-09-07T08:45:21.3970137Z 2025-09-07T08:45:21.3970234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3970418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3970490Z return mod(*inputs) 2025-09-07T08:45:21.3970693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3970769Z x = self.forward_features(x) 2025-09-07T08:45:21.3970987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3971052Z x = self.blocks(x) 2025-09-07T08:45:21.3971270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.3971330Z x = self.bn1(x) 2025-09-07T08:45:21.3971522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.3971581Z x = self.act(x) 2025-09-07T08:45:21.3971584Z 2025-09-07T08:45:21.3971691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3971874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3971940Z return mod(*inputs) 2025-09-07T08:45:21.3972168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3972239Z x = self.forward_features(x) 2025-09-07T08:45:21.3972466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3972527Z x = self.blocks(x) 2025-09-07T08:45:21.3972739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3972810Z x = self.conv_dw(x) 2025-09-07T08:45:21.3973003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3973109Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3973311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3973429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3973439Z 2025-09-07T08:45:21.3973539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3973721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3973789Z return mod(*inputs) 2025-09-07T08:45:21.3973983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3974058Z x = self.forward_features(x) 2025-09-07T08:45:21.3974271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3974333Z x = self.blocks(x) 2025-09-07T08:45:21.3974549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3974612Z x = self.conv_dw(x) 2025-09-07T08:45:21.3974811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3974936Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3975137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3975243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3975246Z 2025-09-07T08:45:21.3975345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3975533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3975597Z return mod(*inputs) 2025-09-07T08:45:21.3975789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3975865Z x = self.forward_features(x) 2025-09-07T08:45:21.3976082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3976156Z x = self.blocks(x) 2025-09-07T08:45:21.3976365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3976438Z x = self.conv_dw(x) 2025-09-07T08:45:21.3976629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3976729Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3976938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3977034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3977037Z 2025-09-07T08:45:21.3977143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3977324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3977390Z return mod(*inputs) 2025-09-07T08:45:21.3977608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3977682Z x = self.forward_features(x) 2025-09-07T08:45:21.3977907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3977969Z x = self.blocks(x) 2025-09-07T08:45:21.3978182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3978254Z x = self.conv_dw(x) 2025-09-07T08:45:21.3978447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3978551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3978753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3978876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3978880Z 2025-09-07T08:45:21.3978978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3979163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3979235Z return mod(*inputs) 2025-09-07T08:45:21.3979432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3979508Z x = self.forward_features(x) 2025-09-07T08:45:21.3979727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3979790Z x = self.blocks(x) 2025-09-07T08:45:21.3980012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3980077Z x = self.conv_dw(x) 2025-09-07T08:45:21.3980283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3980397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3980619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3980724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3980727Z 2025-09-07T08:45:21.3980826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3981019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3981083Z return mod(*inputs) 2025-09-07T08:45:21.3981288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3981359Z x = self.forward_features(x) 2025-09-07T08:45:21.3981610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3981688Z x = self.blocks(x) 2025-09-07T08:45:21.3981900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3981975Z x = self.conv_dw(x) 2025-09-07T08:45:21.3982171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3982268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3982481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3982580Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3982583Z 2025-09-07T08:45:21.3982689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3982877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3982944Z return mod(*inputs) 2025-09-07T08:45:21.3983183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3983257Z x = self.forward_features(x) 2025-09-07T08:45:21.3983491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3983553Z x = self.blocks(x) 2025-09-07T08:45:21.3983770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3983835Z x = self.conv_dw(x) 2025-09-07T08:45:21.3984029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3984135Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3984335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3984473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3984479Z 2025-09-07T08:45:21.3984577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3984764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3984837Z return mod(*inputs) 2025-09-07T08:45:21.3985036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3985120Z x = self.forward_features(x) 2025-09-07T08:45:21.3985340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3985403Z x = self.blocks(x) 2025-09-07T08:45:21.3985620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3985684Z x = self.conv_dw(x) 2025-09-07T08:45:21.3985888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3986012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3986235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3986332Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3986335Z 2025-09-07T08:45:21.3986412Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3986499Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3986573Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3986654Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3986751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3986934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3987004Z return mod(*inputs) 2025-09-07T08:45:21.3987210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3987286Z x = self.forward_features(x) 2025-09-07T08:45:21.3987506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3987570Z x = self.blocks(x) 2025-09-07T08:45:21.3987790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.3987854Z x = self.conv_dw(x) 2025-09-07T08:45:21.3988052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.3988117Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.3988120Z 2025-09-07T08:45:21.3988195Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.3988303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3988486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3988580Z return mod(*inputs) 2025-09-07T08:45:21.3988781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3988850Z x = self.forward_features(x) 2025-09-07T08:45:21.3989077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3989139Z x = self.blocks(x) 2025-09-07T08:45:21.3989356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3989416Z x = self.se(x) 2025-09-07T08:45:21.3989641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.3989716Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.3989719Z 2025-09-07T08:45:21.3989817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3990028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3990093Z return mod(*inputs) 2025-09-07T08:45:21.3990301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3990370Z x = self.forward_features(x) 2025-09-07T08:45:21.3990585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3990655Z x = self.blocks(x) 2025-09-07T08:45:21.3990870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3990936Z x = self.se(x) 2025-09-07T08:45:21.3991143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3991210Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3991214Z 2025-09-07T08:45:21.3991324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3991524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3991619Z return mod(*inputs) 2025-09-07T08:45:21.3991816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3991884Z x = self.forward_features(x) 2025-09-07T08:45:21.3992111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3992176Z x = self.blocks(x) 2025-09-07T08:45:21.3992391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3992452Z x = self.se(x) 2025-09-07T08:45:21.3992666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.3992735Z x_se = self.act1(x_se) 2025-09-07T08:45:21.3992740Z 2025-09-07T08:45:21.3992841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3993037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3993099Z return mod(*inputs) 2025-09-07T08:45:21.3993303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3993369Z x = self.forward_features(x) 2025-09-07T08:45:21.3993588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3993659Z x = self.blocks(x) 2025-09-07T08:45:21.3993865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3993937Z x = self.se(x) 2025-09-07T08:45:21.3994142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3994215Z return x * self.gate(x_se) 2025-09-07T08:45:21.3994231Z 2025-09-07T08:45:21.3994344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3994525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3994598Z return mod(*inputs) 2025-09-07T08:45:21.3994795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3994862Z x = self.forward_features(x) 2025-09-07T08:45:21.3995086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3995149Z x = self.blocks(x) 2025-09-07T08:45:21.3995366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3995427Z x = self.se(x) 2025-09-07T08:45:21.3995664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3995735Z return x * self.gate(x_se) 2025-09-07T08:45:21.3995737Z 2025-09-07T08:45:21.3995837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3996029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3996094Z return mod(*inputs) 2025-09-07T08:45:21.3996301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3996368Z x = self.forward_features(x) 2025-09-07T08:45:21.3996586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3996657Z x = self.blocks(x) 2025-09-07T08:45:21.3996867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.3996939Z x = self.se(x) 2025-09-07T08:45:21.3997167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.3997249Z return x * self.gate(x_se) 2025-09-07T08:45:21.3997260Z 2025-09-07T08:45:21.3997358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3997540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3997613Z return mod(*inputs) 2025-09-07T08:45:21.3997806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3997882Z x = self.forward_features(x) 2025-09-07T08:45:21.3998095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3998158Z x = self.blocks(x) 2025-09-07T08:45:21.3998374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.3998444Z x = self.conv_pwl(x) 2025-09-07T08:45:21.3998643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.3998747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3998944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.3999053Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.3999055Z 2025-09-07T08:45:21.3999151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.3999338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.3999405Z return mod(*inputs) 2025-09-07T08:45:21.3999597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.3999676Z x = self.forward_features(x) 2025-09-07T08:45:21.3999906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.3999980Z x = self.blocks(x) 2025-09-07T08:45:21.4000195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4000261Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4000459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4000557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4000764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4000862Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4000865Z 2025-09-07T08:45:21.4000968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4001168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4001234Z return mod(*inputs) 2025-09-07T08:45:21.4001440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4001507Z x = self.forward_features(x) 2025-09-07T08:45:21.4001736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4001798Z x = self.blocks(x) 2025-09-07T08:45:21.4002007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4002082Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4002272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4002376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4002582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4002717Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4002720Z 2025-09-07T08:45:21.4002820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4003003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4003075Z return mod(*inputs) 2025-09-07T08:45:21.4003273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4003351Z x = self.forward_features(x) 2025-09-07T08:45:21.4003573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4003637Z x = self.blocks(x) 2025-09-07T08:45:21.4003858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4003925Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4004130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4004232Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4004435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4004544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4004547Z 2025-09-07T08:45:21.4004626Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4004712Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4004809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4004992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4005065Z return mod(*inputs) 2025-09-07T08:45:21.4005264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4005357Z x = self.forward_features(x) 2025-09-07T08:45:21.4005582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4005652Z x = self.blocks(x) 2025-09-07T08:45:21.4005866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4005932Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4006137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.4006204Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.4006207Z 2025-09-07T08:45:21.4006316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4006504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4006599Z return mod(*inputs) 2025-09-07T08:45:21.4006806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4006880Z x = self.forward_features(x) 2025-09-07T08:45:21.4007105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4007169Z x = self.blocks(x) 2025-09-07T08:45:21.4007379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.4007463Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.4007466Z 2025-09-07T08:45:21.4007565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4007758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4007822Z return mod(*inputs) 2025-09-07T08:45:21.4008026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4008113Z x = self.forward_features(x) 2025-09-07T08:45:21.4008358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4008432Z x = self.blocks(x) 2025-09-07T08:45:21.4008643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.4008714Z x = self.bn1(x) 2025-09-07T08:45:21.4008901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.4008963Z x = self.act(x) 2025-09-07T08:45:21.4008966Z 2025-09-07T08:45:21.4009073Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4009258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4009328Z return mod(*inputs) 2025-09-07T08:45:21.4009527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4009598Z x = self.forward_features(x) 2025-09-07T08:45:21.4009825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4009889Z x = self.blocks(x) 2025-09-07T08:45:21.4010107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:45:21.4010170Z x = self.bn1(x) 2025-09-07T08:45:21.4010356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.4010426Z x = self.act(x) 2025-09-07T08:45:21.4010429Z 2025-09-07T08:45:21.4010525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4010715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4010782Z return mod(*inputs) 2025-09-07T08:45:21.4011007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4011079Z x = self.forward_features(x) 2025-09-07T08:45:21.4011303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4011379Z x = self.blocks(x) 2025-09-07T08:45:21.4011589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4011662Z x = self.conv_dw(x) 2025-09-07T08:45:21.4011855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4011955Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4012164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4012281Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4012286Z 2025-09-07T08:45:21.4012392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4012580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4012644Z return mod(*inputs) 2025-09-07T08:45:21.4012847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4012916Z x = self.forward_features(x) 2025-09-07T08:45:21.4013143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4013206Z x = self.blocks(x) 2025-09-07T08:45:21.4013417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4013490Z x = self.conv_dw(x) 2025-09-07T08:45:21.4013684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4013820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4014034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4014142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4014145Z 2025-09-07T08:45:21.4014243Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4014427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4014501Z return mod(*inputs) 2025-09-07T08:45:21.4014697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4014775Z x = self.forward_features(x) 2025-09-07T08:45:21.4014994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4015058Z x = self.blocks(x) 2025-09-07T08:45:21.4015286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4015353Z x = self.conv_dw(x) 2025-09-07T08:45:21.4015557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4015658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4015861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4015968Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4015971Z 2025-09-07T08:45:21.4016070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4016265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4016333Z return mod(*inputs) 2025-09-07T08:45:21.4016555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4016626Z x = self.forward_features(x) 2025-09-07T08:45:21.4016849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4016922Z x = self.blocks(x) 2025-09-07T08:45:21.4017134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4017211Z x = self.conv_dw(x) 2025-09-07T08:45:21.4017401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4017501Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4017717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4017829Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4017833Z 2025-09-07T08:45:21.4017941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4018126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4018200Z return mod(*inputs) 2025-09-07T08:45:21.4018395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4018464Z x = self.forward_features(x) 2025-09-07T08:45:21.4018688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4018749Z x = self.blocks(x) 2025-09-07T08:45:21.4018972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4019036Z x = self.conv_dw(x) 2025-09-07T08:45:21.4019225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4019346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4019564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4019671Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4019674Z 2025-09-07T08:45:21.4019771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4019954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4020030Z return mod(*inputs) 2025-09-07T08:45:21.4020230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4020309Z x = self.forward_features(x) 2025-09-07T08:45:21.4020526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4020593Z x = self.blocks(x) 2025-09-07T08:45:21.4020817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4020883Z x = self.conv_dw(x) 2025-09-07T08:45:21.4021080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4021176Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4021387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4021483Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4021486Z 2025-09-07T08:45:21.4021585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4021775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4021842Z return mod(*inputs) 2025-09-07T08:45:21.4022062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4022135Z x = self.forward_features(x) 2025-09-07T08:45:21.4022355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4022426Z x = self.blocks(x) 2025-09-07T08:45:21.4022638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4022709Z x = self.conv_dw(x) 2025-09-07T08:45:21.4022902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4023000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4023207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4023307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4023327Z 2025-09-07T08:45:21.4023437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4023628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4023698Z return mod(*inputs) 2025-09-07T08:45:21.4023895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4023964Z x = self.forward_features(x) 2025-09-07T08:45:21.4024194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4024258Z x = self.blocks(x) 2025-09-07T08:45:21.4024473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4024535Z x = self.conv_dw(x) 2025-09-07T08:45:21.4024727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4024866Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4025083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4025189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4025192Z 2025-09-07T08:45:21.4025270Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4025358Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4025431Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4025507Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4025616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4025800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4025864Z return mod(*inputs) 2025-09-07T08:45:21.4026067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4026139Z x = self.forward_features(x) 2025-09-07T08:45:21.4026368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4026431Z x = self.blocks(x) 2025-09-07T08:45:21.4026654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:45:21.4026718Z x = self.conv_dw(x) 2025-09-07T08:45:21.4026909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.4026986Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.4026989Z 2025-09-07T08:45:21.4027065Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4027172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4027359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4027426Z return mod(*inputs) 2025-09-07T08:45:21.4027825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4027898Z x = self.forward_features(x) 2025-09-07T08:45:21.4028128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4028193Z x = self.blocks(x) 2025-09-07T08:45:21.4028407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.4028478Z x = self.se(x) 2025-09-07T08:45:21.4028691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:45:21.4028776Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:45:21.4028779Z 2025-09-07T08:45:21.4028877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4029074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4029159Z return mod(*inputs) 2025-09-07T08:45:21.4029361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4029442Z x = self.forward_features(x) 2025-09-07T08:45:21.4029662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4029735Z x = self.blocks(x) 2025-09-07T08:45:21.4029943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.4030006Z x = self.se(x) 2025-09-07T08:45:21.4030227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.4030296Z x_se = self.act1(x_se) 2025-09-07T08:45:21.4030299Z 2025-09-07T08:45:21.4030409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4030598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4030678Z return mod(*inputs) 2025-09-07T08:45:21.4030904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4030975Z x = self.forward_features(x) 2025-09-07T08:45:21.4031198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4031261Z x = self.blocks(x) 2025-09-07T08:45:21.4031471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.4031541Z x = self.se(x) 2025-09-07T08:45:21.4031747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:45:21.4031824Z x_se = self.act1(x_se) 2025-09-07T08:45:21.4031829Z 2025-09-07T08:45:21.4031927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4032123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4032189Z return mod(*inputs) 2025-09-07T08:45:21.4032388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4032468Z x = self.forward_features(x) 2025-09-07T08:45:21.4032685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4032759Z x = self.blocks(x) 2025-09-07T08:45:21.4032968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.4033031Z x = self.se(x) 2025-09-07T08:45:21.4033247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.4033322Z return x * self.gate(x_se) 2025-09-07T08:45:21.4033326Z 2025-09-07T08:45:21.4033453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4033639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4033702Z return mod(*inputs) 2025-09-07T08:45:21.4033905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4033975Z x = self.forward_features(x) 2025-09-07T08:45:21.4034198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4034263Z x = self.blocks(x) 2025-09-07T08:45:21.4034471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.4034540Z x = self.se(x) 2025-09-07T08:45:21.4034746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.4034852Z return x * self.gate(x_se) 2025-09-07T08:45:21.4034856Z 2025-09-07T08:45:21.4034955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4035147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4035213Z return mod(*inputs) 2025-09-07T08:45:21.4035407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4035483Z x = self.forward_features(x) 2025-09-07T08:45:21.4035698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4035768Z x = self.blocks(x) 2025-09-07T08:45:21.4035976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:45:21.4036034Z x = self.se(x) 2025-09-07T08:45:21.4036254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:45:21.4036342Z return x * self.gate(x_se) 2025-09-07T08:45:21.4036345Z 2025-09-07T08:45:21.4036467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4036653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4036716Z return mod(*inputs) 2025-09-07T08:45:21.4036922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4036993Z x = self.forward_features(x) 2025-09-07T08:45:21.4037215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4037277Z x = self.blocks(x) 2025-09-07T08:45:21.4037486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4037563Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4037758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4037870Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4038072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4038179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4038182Z 2025-09-07T08:45:21.4038279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4038466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4038539Z return mod(*inputs) 2025-09-07T08:45:21.4038735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4038812Z x = self.forward_features(x) 2025-09-07T08:45:21.4039048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4039113Z x = self.blocks(x) 2025-09-07T08:45:21.4039338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4039405Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4039605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4039708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4039910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4040019Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4040022Z 2025-09-07T08:45:21.4040123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4040318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4040401Z return mod(*inputs) 2025-09-07T08:45:21.4040610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4040681Z x = self.forward_features(x) 2025-09-07T08:45:21.4040900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4040974Z x = self.blocks(x) 2025-09-07T08:45:21.4041186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4041264Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4041456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4041554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4041763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4041878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4041881Z 2025-09-07T08:45:21.4041999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4042187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4042258Z return mod(*inputs) 2025-09-07T08:45:21.4042454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4042527Z x = self.forward_features(x) 2025-09-07T08:45:21.4042755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4042819Z x = self.blocks(x) 2025-09-07T08:45:21.4043041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4043108Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4043306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:45:21.4043415Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4062865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:45:21.4063073Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:45:21.4063083Z 2025-09-07T08:45:21.4063182Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4063278Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4063390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4063607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4063678Z return mod(*inputs) 2025-09-07T08:45:21.4063911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4064008Z x = self.forward_features(x) 2025-09-07T08:45:21.4064303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4064385Z x = self.blocks(x) 2025-09-07T08:45:21.4064609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:45:21.4064690Z x = self.conv_pwl(x) 2025-09-07T08:45:21.4064889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:45:21.4064961Z x = torch.cat(x_out, 1) 2025-09-07T08:45:21.4064964Z 2025-09-07T08:45:21.4065083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4065278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4065356Z return mod(*inputs) 2025-09-07T08:45:21.4065585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4065661Z x = self.forward_features(x) 2025-09-07T08:45:21.4065895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:45:21.4065962Z x = self.blocks(x) 2025-09-07T08:45:21.4066184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:45:21.4066260Z x = self.drop_path(x) + shortcut 2025-09-07T08:45:21.4066264Z 2025-09-07T08:45:21.4066368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4066565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4066632Z return mod(*inputs) 2025-09-07T08:45:21.4066840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4066914Z x = self.forward_features(x) 2025-09-07T08:45:21.4067159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:45:21.4067255Z x = self.bn2(x) 2025-09-07T08:45:21.4067449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.4067522Z x = self.act(x) 2025-09-07T08:45:21.4067525Z 2025-09-07T08:45:21.4067626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4067820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4067885Z return mod(*inputs) 2025-09-07T08:45:21.4068080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:45:21.4068155Z x = self.forward_features(x) 2025-09-07T08:45:21.4068371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:45:21.4068442Z x = self.bn2(x) 2025-09-07T08:45:21.4068632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:45:21.4068697Z x = self.act(x) 2025-09-07T08:45:21.4068700Z 2025-09-07T08:45:21.4068789Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4068887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:45:21.4069080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:45:21.4069142Z return mod(*inputs) 2025-09-07T08:45:21.4069337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:45:21.4069412Z x = self.forward_head(x) 2025-09-07T08:45:21.4069620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T08:45:21.4069698Z x = self.global_pool(x) 2025-09-07T08:45:21.4069927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:45:21.4069994Z x = self.pool(x) 2025-09-07T08:45:21.4070008Z 2025-09-07T08:45:21.4070090Z cudagraph partition due to non gpu ops 2025-09-07T08:45:21.4070168Z cudagraph partition due to non gpu ops 2025-09-07T08:45:55.7995363Z 2025-09-07T08:45:56.2507880Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T09:18:16.8074414Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T09:18:16.8083236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:16.8083527Z env: 2025-09-07T09:18:16.8083717Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:16.8084060Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:16.8084405Z ##[endgroup] 2025-09-07T09:18:16.8108918Z + [[ -n '' ]] 2025-09-07T09:18:16.8109224Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T09:18:16.9752806Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:18:17.6680527Z Collecting boto3==1.35.33 2025-09-07T09:18:17.6985645Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T09:18:17.9102464Z Collecting psutil==7.0.0 2025-09-07T09:18:17.9188530Z 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) 2025-09-07T09:18:17.9470506Z Collecting pynvml==12.0.0 2025-09-07T09:18:17.9585045Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T09:18:17.9644861Z 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) 2025-09-07T09:18:17.9900278Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T09:18:17.9986757Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T09:18:18.7525011Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T09:18:18.7608753Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T09:18:18.8829090Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T09:18:18.8916011Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T09:18:18.8978568Z 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) 2025-09-07T09:18:18.8985510Z 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) 2025-09-07T09:18:19.0603607Z 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) 2025-09-07T09:18:19.1491286Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T09:18:19.4633364Z Attempting uninstall: nvidia-ml-py 2025-09-07T09:18:19.4633752Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T09:18:19.4642145Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T09:18:19.4756657Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T09:18:19.5182471Z Attempting uninstall: psutil 2025-09-07T09:18:19.5182798Z Found existing installation: psutil 5.9.8 2025-09-07T09:18:19.5223213Z Uninstalling psutil-5.9.8: 2025-09-07T09:18:19.5227074Z Successfully uninstalled psutil-5.9.8 2025-09-07T09:18:19.6437363Z 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 2025-09-07T09:18:19.7260610Z + DEVICE_NAME= 2025-09-07T09:18:19.7260879Z + DEVICE_TYPE= 2025-09-07T09:18:19.7261298Z + command -v nvidia-smi 2025-09-07T09:18:19.7261811Z + command -v rocminfo 2025-09-07T09:18:19.7262084Z + echo DEVICE_NAME= 2025-09-07T09:18:19.7262257Z + echo DEVICE_TYPE= 2025-09-07T09:18:19.7278234Z ##[group]Run set -eux 2025-09-07T09:18:19.7278428Z set -eux 2025-09-07T09:18:19.7278598Z  2025-09-07T09:18:19.7278767Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T09:18:19.7278994Z  echo "Missing github-token input" 2025-09-07T09:18:19.7279199Z  exit 1 2025-09-07T09:18:19.7279351Z fi 2025-09-07T09:18:19.7283852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:19.7284086Z env: 2025-09-07T09:18:19.7284250Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:19.7284537Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:19.7284829Z DEVICE_NAME: 2025-09-07T09:18:19.7284988Z DEVICE_TYPE: 2025-09-07T09:18:19.7285332Z GITHUB_TOKEN: *** 2025-09-07T09:18:19.7285502Z ##[endgroup] 2025-09-07T09:18:19.7304985Z + [[ -z *** ]] 2025-09-07T09:18:19.7331886Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T09:18:19.7332151Z with: 2025-09-07T09:18:19.7332402Z github-token: *** 2025-09-07T09:18:19.7332559Z env: 2025-09-07T09:18:19.7332725Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:19.7333007Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:19.7333303Z DEVICE_NAME: 2025-09-07T09:18:19.7333461Z DEVICE_TYPE: 2025-09-07T09:18:19.7333619Z ##[endgroup] 2025-09-07T09:18:19.7342139Z ##[group]Run set -eux 2025-09-07T09:18:19.7342325Z set -eux 2025-09-07T09:18:19.7342478Z  2025-09-07T09:18:19.7342759Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:18:19.7347141Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:19.7347389Z env: 2025-09-07T09:18:19.7347545Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:19.7347833Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:19.7348118Z DEVICE_NAME: 2025-09-07T09:18:19.7348279Z DEVICE_TYPE: 2025-09-07T09:18:19.7348529Z GITHUB_TOKEN: *** 2025-09-07T09:18:19.7348802Z ##[endgroup] 2025-09-07T09:18:19.7366669Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525285611 i-0ddf92ca892c450b3 2025-09-07T09:18:20.3555721Z setting job-id=49775585822 2025-09-07T09:18:20.3556172Z setting job-name=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T09:18:20.3632098Z ##[group]Run set -eux 2025-09-07T09:18:20.3632301Z set -eux 2025-09-07T09:18:20.3632463Z  2025-09-07T09:18:20.3632617Z if [[ -n "" ]]; then 2025-09-07T09:18:20.3632862Z  source "" 2025-09-07T09:18:20.3633035Z fi 2025-09-07T09:18:20.3633179Z  2025-09-07T09:18:20.3633422Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T09:18:20.3633735Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T09:18:20.3633958Z  --repo "${REPO}" \ 2025-09-07T09:18:20.3634173Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T09:18:20.3634386Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T09:18:20.3634607Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T09:18:20.3634838Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T09:18:20.3635051Z  --job-id "${JOB_ID}" \ 2025-09-07T09:18:20.3635252Z  --job-name "${JOB_NAME}" 2025-09-07T09:18:20.3639991Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:20.3640240Z env: 2025-09-07T09:18:20.3640403Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:20.3640706Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:20.3641057Z DEVICE_NAME: 2025-09-07T09:18:20.3641221Z DEVICE_TYPE: 2025-09-07T09:18:20.3641383Z SCHEMA_VERSION: v3 2025-09-07T09:18:20.3641558Z REPO: pytorch/pytorch 2025-09-07T09:18:20.3641733Z HEAD_BRANCH: refs/heads/main 2025-09-07T09:18:20.3641962Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:18:20.3642190Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T09:18:20.3642372Z RUN_ATTEMPT: 1 2025-09-07T09:18:20.3642529Z JOB_ID: 49775585822 2025-09-07T09:18:20.3642857Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T09:18:20.3643197Z ##[endgroup] 2025-09-07T09:18:20.3665172Z + [[ -n '' ]] 2025-09-07T09:18:20.3666482Z + 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 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17525285611 --run-attempt 1 --job-id 49775585822 --job-name 'inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal)' 2025-09-07T09:18:20.3898308Z ##[group]Run set -eux 2025-09-07T09:18:20.3898500Z set -eux 2025-09-07T09:18:20.3898665Z  2025-09-07T09:18:20.3898823Z if [[ -n "" ]]; then 2025-09-07T09:18:20.3899005Z  source "" 2025-09-07T09:18:20.3899166Z fi 2025-09-07T09:18:20.3899303Z  2025-09-07T09:18:20.3899546Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T09:18:20.3903306Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:20.3903544Z env: 2025-09-07T09:18:20.3903692Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:20.3903971Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:20.3904263Z DEVICE_NAME: 2025-09-07T09:18:20.3904425Z DEVICE_TYPE: 2025-09-07T09:18:20.3904574Z ##[endgroup] 2025-09-07T09:18:20.3920706Z + [[ -n '' ]] 2025-09-07T09:18:20.3921254Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T09:18:20.4214019Z INFO:root:Fail to import torch to get the device name 2025-09-07T09:18:20.4290675Z ##[group]Run set -eux 2025-09-07T09:18:20.4290860Z set -eux 2025-09-07T09:18:20.4291019Z  2025-09-07T09:18:20.4291191Z # TODO (huydhn): Implement this part 2025-09-07T09:18:20.4291441Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:18:20.4294903Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:20.4295145Z env: 2025-09-07T09:18:20.4295294Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:20.4295571Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:20.4295918Z DEVICE_NAME: 2025-09-07T09:18:20.4296073Z DEVICE_TYPE: 2025-09-07T09:18:20.4296224Z ##[endgroup] 2025-09-07T09:18:20.4310539Z + echo 'dependencies={}' 2025-09-07T09:18:20.4322969Z ##[group]Run set -eux 2025-09-07T09:18:20.4323167Z set -eux 2025-09-07T09:18:20.4323328Z  2025-09-07T09:18:20.4323496Z if [[ -n "" ]]; then 2025-09-07T09:18:20.4323670Z  source "" 2025-09-07T09:18:20.4323827Z fi 2025-09-07T09:18:20.4323972Z  2025-09-07T09:18:20.4324150Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T09:18:20.4324411Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T09:18:20.4324699Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T09:18:20.4324929Z  exit 0 2025-09-07T09:18:20.4325080Z fi 2025-09-07T09:18:20.4325214Z  2025-09-07T09:18:20.4325383Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T09:18:20.4325722Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:18:20.4326056Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:18:20.4326321Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:18:20.4326541Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:18:20.4326769Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T09:18:20.4326985Z  --dry-run 2025-09-07T09:18:20.4327154Z else 2025-09-07T09:18:20.4327387Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:18:20.4327713Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:18:20.4327972Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:18:20.4328214Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:18:20.4328422Z  --dependencies "${DEPENDENCIES}" 2025-09-07T09:18:20.4328620Z fi 2025-09-07T09:18:20.4332308Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:20.4332547Z env: 2025-09-07T09:18:20.4332703Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:20.4332988Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:20.4333272Z DEVICE_NAME: 2025-09-07T09:18:20.4333436Z DEVICE_TYPE: 2025-09-07T09:18:20.4333613Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T09:18:20.4333812Z DRY_RUN: false 2025-09-07T09:18:20.4334557Z BENCHMARK_METADATA: {"timestamp": 1757236700, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585822} 2025-09-07T09:18:20.4335488Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-64-133.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T09:18:20.4335840Z DEPENDENCIES: {} 2025-09-07T09:18:20.4336003Z ##[endgroup] 2025-09-07T09:18:20.4351075Z + [[ -n '' ]] 2025-09-07T09:18:20.4351251Z + [[ ! -d test/test-reports ]] 2025-09-07T09:18:20.4351435Z + [[ false == \t\r\u\e ]] 2025-09-07T09:18:20.4353086Z + 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": 1757236700, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585822}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-64-133.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T09:18:20.5316274Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:18:20.5514198Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T09:18:20.6886165Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:18:20.7650887Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:18:20.8679605Z INFO:root:Upload test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:18:20.9405036Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:18:21.0239194Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T09:18:21.0977477Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T09:18:21.1871321Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T09:18:21.2684769Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T09:18:21.3589390Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T09:18:21.4657717Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T09:18:21.5913616Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T09:18:21.6402377Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585822/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T09:18:21.7812092Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T09:18:21.7812338Z cat test/**/*_toprint.log || true 2025-09-07T09:18:21.7816407Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:21.7816647Z env: 2025-09-07T09:18:21.7816804Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:21.7817083Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:21.7817377Z DEVICE_NAME: 2025-09-07T09:18:21.7817537Z DEVICE_TYPE: 2025-09-07T09:18:21.7817692Z ##[endgroup] 2025-09-07T09:18:21.7879162Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T09:18:21.7896844Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T09:18:21.7897084Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T09:18:21.7900785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:21.7901023Z env: 2025-09-07T09:18:21.7901181Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:21.7901465Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:21.7901747Z DEVICE_NAME: 2025-09-07T09:18:21.7901910Z DEVICE_TYPE: 2025-09-07T09:18:21.7902075Z MONITOR_SCRIPT_PID: 59567 2025-09-07T09:18:21.7902298Z ##[endgroup] 2025-09-07T09:18:21.7984434Z Prepare all required actions 2025-09-07T09:18:21.7984740Z Getting action download info 2025-09-07T09:18:21.9288359Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T09:18:22.1273297Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T09:18:22.5033115Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T09:18:22.5033343Z with: 2025-09-07T09:18:22.5033593Z file-suffix: test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822 2025-09-07T09:18:22.5033887Z s3-bucket: gha-artifacts 2025-09-07T09:18:22.5034061Z env: 2025-09-07T09:18:22.5034212Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:22.5034490Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:22.5034784Z DEVICE_NAME: 2025-09-07T09:18:22.5034935Z DEVICE_TYPE: 2025-09-07T09:18:22.5035092Z ##[endgroup] 2025-09-07T09:18:22.5050175Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T09:18:22.5050464Z # Remove any previous test jsons if they exist 2025-09-07T09:18:22.5050691Z rm -f test-jsons-*.zip 2025-09-07T09:18:22.5050954Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T09:18:22.5054506Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:22.5054732Z env: 2025-09-07T09:18:22.5054880Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:22.5055166Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:22.5055460Z DEVICE_NAME: 2025-09-07T09:18:22.5055619Z DEVICE_TYPE: 2025-09-07T09:18:22.5055870Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822 2025-09-07T09:18:22.5056136Z ##[endgroup] 2025-09-07T09:18:22.5175400Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:18:22.5189460Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:18:22.5203610Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:18:22.5217647Z adding: test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:18:22.5231602Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:18:22.5252594Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T09:18:22.5298929Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:18:22.5319914Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T09:18:22.5365592Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:18:22.5386580Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T09:18:22.5432421Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:18:22.5453276Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T09:18:22.5485083Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:18:22.5501468Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T09:18:22.5501768Z # Remove any previous test reports if they exist 2025-09-07T09:18:22.5502011Z rm -f test-reports-*.zip 2025-09-07T09:18:22.5502436Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T09:18:22.5505948Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:22.5506189Z env: 2025-09-07T09:18:22.5506340Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:22.5506635Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:22.5506937Z DEVICE_NAME: 2025-09-07T09:18:22.5507098Z DEVICE_TYPE: 2025-09-07T09:18:22.5507359Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822 2025-09-07T09:18:22.5507627Z ##[endgroup] 2025-09-07T09:18:22.5547699Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 56%) 2025-09-07T09:18:22.5548187Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 55%) 2025-09-07T09:18:22.5548658Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 56%) 2025-09-07T09:18:22.5549127Z adding: test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 57%) 2025-09-07T09:18:22.5549582Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 67%) 2025-09-07T09:18:22.5550054Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T09:18:22.5550930Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:18:22.5551497Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T09:18:22.5552232Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:18:22.5552877Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T09:18:22.5554014Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:18:22.5554540Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.csv (deflated 50%) 2025-09-07T09:18:22.5555198Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:18:22.5569621Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T09:18:22.5569907Z # Remove any previous usage logs if they exist 2025-09-07T09:18:22.5570135Z rm -f logs-*.zip 2025-09-07T09:18:22.5570361Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T09:18:22.5570655Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T09:18:22.5574341Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:22.5574582Z env: 2025-09-07T09:18:22.5574735Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:22.5575009Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:22.5575302Z DEVICE_NAME: 2025-09-07T09:18:22.5575461Z DEVICE_TYPE: 2025-09-07T09:18:22.5575712Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822 2025-09-07T09:18:22.5575984Z ##[endgroup] 2025-09-07T09:18:22.5640675Z adding: usage_log.txt (deflated 96%) 2025-09-07T09:18:22.5649804Z 2025-09-07T09:18:22.5650025Z zip error: Nothing to do! (logs-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip) 2025-09-07T09:18:22.5664266Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T09:18:22.5664590Z # Remove any previous debugging artifacts if they exist 2025-09-07T09:18:22.5664851Z rm -f debug-*.zip 2025-09-07T09:18:22.5665040Z if [ -d 'test/debug' ]; then 2025-09-07T09:18:22.5665408Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T09:18:22.5665623Z fi 2025-09-07T09:18:22.5669165Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:22.5669402Z env: 2025-09-07T09:18:22.5669564Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:22.5669884Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:22.5670175Z DEVICE_NAME: 2025-09-07T09:18:22.5670337Z DEVICE_TYPE: 2025-09-07T09:18:22.5670589Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822 2025-09-07T09:18:22.5670863Z ##[endgroup] 2025-09-07T09:18:22.5721644Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:18:22.5721854Z with: 2025-09-07T09:18:22.5722010Z s3-bucket: gha-artifacts 2025-09-07T09:18:22.5722218Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:18:22.5722435Z retention-days: 14 2025-09-07T09:18:22.5722596Z if-no-files-found: warn 2025-09-07T09:18:22.5722775Z path: test-jsons-*.zip 2025-09-07T09:18:22.5722938Z name: artifact 2025-09-07T09:18:22.5723086Z region: us-east-1 2025-09-07T09:18:22.5723226Z env: 2025-09-07T09:18:22.5723365Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:22.5723634Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:22.5723910Z DEVICE_NAME: 2025-09-07T09:18:22.5724051Z DEVICE_TYPE: 2025-09-07T09:18:22.5724193Z ##[endgroup] 2025-09-07T09:18:22.8300685Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:18:22.8300993Z With the provided path, there will be 1 file uploaded 2025-09-07T09:18:22.8301261Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:18:22.8330623Z Starting upload of test-jsons-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip 2025-09-07T09:18:22.9658349Z Finished upload of test-jsons-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip 2025-09-07T09:18:22.9794199Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:18:22.9794414Z with: 2025-09-07T09:18:22.9794578Z s3-bucket: gha-artifacts 2025-09-07T09:18:22.9794794Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:18:22.9795019Z retention-days: 14 2025-09-07T09:18:22.9795185Z if-no-files-found: error 2025-09-07T09:18:22.9795368Z path: test-reports-*.zip 2025-09-07T09:18:22.9795542Z name: artifact 2025-09-07T09:18:22.9795703Z region: us-east-1 2025-09-07T09:18:22.9795854Z env: 2025-09-07T09:18:22.9796003Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:22.9796288Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:22.9796577Z DEVICE_NAME: 2025-09-07T09:18:22.9796723Z DEVICE_TYPE: 2025-09-07T09:18:22.9796874Z ##[endgroup] 2025-09-07T09:18:23.1986389Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:18:23.1986962Z With the provided path, there will be 1 file uploaded 2025-09-07T09:18:23.1987278Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:18:23.2014374Z Starting upload of test-reports-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip 2025-09-07T09:18:23.3004843Z Finished upload of test-reports-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip 2025-09-07T09:18:23.3134586Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:18:23.3134809Z with: 2025-09-07T09:18:23.3134976Z s3-bucket: gha-artifacts 2025-09-07T09:18:23.3135188Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:18:23.3135409Z retention-days: 14 2025-09-07T09:18:23.3135583Z if-no-files-found: ignore 2025-09-07T09:18:23.3135769Z path: logs-*.zip 2025-09-07T09:18:23.3135917Z name: artifact 2025-09-07T09:18:23.3136074Z region: us-east-1 2025-09-07T09:18:23.3136226Z env: 2025-09-07T09:18:23.3136377Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:23.3136658Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:23.3137106Z DEVICE_NAME: 2025-09-07T09:18:23.3137267Z DEVICE_TYPE: 2025-09-07T09:18:23.3137423Z ##[endgroup] 2025-09-07T09:18:23.5378888Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:18:23.5379176Z With the provided path, there will be 1 file uploaded 2025-09-07T09:18:23.5379453Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:18:23.5408064Z Starting upload of logs-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip 2025-09-07T09:18:23.6428023Z Finished upload of logs-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip 2025-09-07T09:18:23.6555450Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:18:23.6555666Z with: 2025-09-07T09:18:23.6555839Z s3-bucket: gha-artifacts 2025-09-07T09:18:23.6556054Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:18:23.6556287Z retention-days: 14 2025-09-07T09:18:23.6556454Z if-no-files-found: ignore 2025-09-07T09:18:23.6556658Z path: debug-*.zip 2025-09-07T09:18:23.6556821Z name: artifact 2025-09-07T09:18:23.6556978Z region: us-east-1 2025-09-07T09:18:23.6557125Z env: 2025-09-07T09:18:23.6557275Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:23.6557557Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:23.6557845Z DEVICE_NAME: 2025-09-07T09:18:23.6557995Z DEVICE_TYPE: 2025-09-07T09:18:23.6558150Z ##[endgroup] 2025-09-07T09:18:23.8678296Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T09:18:23.8811015Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T09:18:23.8811278Z # shellcheck disable=SC2156 2025-09-07T09:18:23.8811623Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T09:18:23.8816254Z shell: /usr/bin/bash -e {0} 2025-09-07T09:18:23.8816449Z env: 2025-09-07T09:18:23.8816611Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:23.8816898Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:23.8817193Z DEVICE_NAME: 2025-09-07T09:18:23.8817360Z DEVICE_TYPE: 2025-09-07T09:18:23.8817516Z ##[endgroup] 2025-09-07T09:18:24.0496190Z Prepare all required actions 2025-09-07T09:18:24.0496476Z Getting action download info 2025-09-07T09:18:24.1659543Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T09:18:24.1659776Z with: 2025-09-07T09:18:24.1659924Z job_id: 49775585822 2025-09-07T09:18:24.1660239Z job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T09:18:24.1660594Z workflow_name: inductor-perf-nightly-x86 2025-09-07T09:18:24.1660810Z workflow_run_id: 17525285611 2025-09-07T09:18:24.1660984Z workflow_attempt: 1 2025-09-07T09:18:24.1661143Z env: 2025-09-07T09:18:24.1661291Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:24.1661626Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:24.1661915Z DEVICE_NAME: 2025-09-07T09:18:24.1662070Z DEVICE_TYPE: 2025-09-07T09:18:24.1662222Z ##[endgroup] 2025-09-07T09:18:24.1713659Z ##[group]Run echo "workflow_id: 17525285611" 2025-09-07T09:18:24.1713928Z echo "workflow_id: 17525285611" 2025-09-07T09:18:24.1714142Z echo "workflow_attempt: 1" 2025-09-07T09:18:24.1714379Z echo "workflow_Name: inductor-perf-nightly-x86" 2025-09-07T09:18:24.1714619Z echo "job_id: 49775585822" 2025-09-07T09:18:24.1714973Z echo "job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal)" 2025-09-07T09:18:24.1715331Z echo "artifact_prefix: " 2025-09-07T09:18:24.1715536Z python3 --version 2025-09-07T09:18:24.1719229Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:24.1719472Z env: 2025-09-07T09:18:24.1719628Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:24.1719974Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:24.1720255Z DEVICE_NAME: 2025-09-07T09:18:24.1720415Z DEVICE_TYPE: 2025-09-07T09:18:24.1720570Z ##[endgroup] 2025-09-07T09:18:24.1737845Z workflow_id: 17525285611 2025-09-07T09:18:24.1738084Z workflow_attempt: 1 2025-09-07T09:18:24.1738309Z workflow_Name: inductor-perf-nightly-x86 2025-09-07T09:18:24.1738552Z job_id: 49775585822 2025-09-07T09:18:24.1738915Z job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal) 2025-09-07T09:18:24.1739273Z artifact_prefix: 2025-09-07T09:18:24.1749079Z Python 3.9.23 2025-09-07T09:18:24.1772036Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:18:24.1772247Z with: 2025-09-07T09:18:24.1772393Z shell: bash 2025-09-07T09:18:24.1772552Z timeout_minutes: 5 2025-09-07T09:18:24.1772723Z max_attempts: 5 2025-09-07T09:18:24.1772895Z retry_wait_seconds: 30 2025-09-07T09:18:24.1773212Z 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 2025-09-07T09:18:24.1773560Z polling_interval_seconds: 1 2025-09-07T09:18:24.1773746Z warning_on_retry: true 2025-09-07T09:18:24.1773926Z continue_on_error: false 2025-09-07T09:18:24.1774091Z env: 2025-09-07T09:18:24.1774239Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:24.1774513Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:24.1774802Z DEVICE_NAME: 2025-09-07T09:18:24.1774961Z DEVICE_TYPE: 2025-09-07T09:18:24.1775107Z ##[endgroup] 2025-09-07T09:18:24.4077267Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:18:24.4578729Z Collecting python-dateutil==2.8.2 2025-09-07T09:18:24.4717124Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T09:18:25.0999004Z Collecting boto3==1.35.42 2025-09-07T09:18:25.1028840Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T09:18:25.4372495Z Collecting pandas==2.1.3 2025-09-07T09:18:25.4422537Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T09:18:25.5214616Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T09:18:25.5223869Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T09:18:25.5254204Z 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) 2025-09-07T09:18:25.5257949Z 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) 2025-09-07T09:18:25.5260427Z 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) 2025-09-07T09:18:26.0896332Z Collecting numpy<2,>=1.22.4 2025-09-07T09:18:26.0927588Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T09:18:26.2126210Z Collecting tzdata>=2022.1 2025-09-07T09:18:26.2155428Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T09:18:26.2224115Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T09:18:26.2246139Z 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) 2025-09-07T09:18:26.2248847Z 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) 2025-09-07T09:18:26.2289162Z 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) 2025-09-07T09:18:26.2368151Z 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) 2025-09-07T09:18:26.2437704Z 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) (4.15.0) 2025-09-07T09:18:26.2440335Z 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) 2025-09-07T09:18:26.3519224Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T09:18:29.8702075Z Attempting uninstall: boto3 2025-09-07T09:18:29.8702376Z Found existing installation: boto3 1.35.33 2025-09-07T09:18:29.8760677Z Uninstalling boto3-1.35.33: 2025-09-07T09:18:29.8768443Z Successfully uninstalled boto3-1.35.33 2025-09-07T09:18:29.9135451Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T09:18:30.2354839Z Command completed after 1 attempt(s). 2025-09-07T09:18:30.2397483Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:18:30.2397912Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:18:30.2398217Z  --workflow-run-id "17525285611" \ 2025-09-07T09:18:30.2398466Z  --workflow-name "inductor-perf-nightly-x86" \ 2025-09-07T09:18:30.2398714Z  --workflow-run-attempt "1" \ 2025-09-07T09:18:30.2398925Z  --job-id "49775585822" \ 2025-09-07T09:18:30.2399278Z  --job-name "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal)" \ 2025-09-07T09:18:30.2399626Z  --local-path "" \ 2025-09-07T09:18:30.2399822Z  --artifact-prefix "" 2025-09-07T09:18:30.2404221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:30.2404461Z env: 2025-09-07T09:18:30.2404613Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:30.2404901Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:30.2405200Z DEVICE_NAME: 2025-09-07T09:18:30.2405362Z DEVICE_TYPE: 2025-09-07T09:18:30.2405526Z ##[endgroup] 2025-09-07T09:18:31.0229025Z repo: pytorch/pytorch 2025-09-07T09:18:31.0229364Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T09:18:31.0229734Z Downloading logs-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip 2025-09-07T09:18:31.0230193Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf_cpu_x86-3-5-linux.24xl.spr-metal_49775585822.zip 2025-09-07T09:18:31.0230558Z Converted Log Model: UtilizationMetadata: 2025-09-07T09:18:31.0231390Z UtilizationMetadata(level='metadata', workflow_id='17525285611', job_id='49775585822', workflow_name='inductor-perf-nightly-x86', job_name='inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757231021, gpu_count=0, cpu_count=96, gpu_type=None, error=None) 2025-09-07T09:18:31.0232307Z [Db Segments] detected pytest cmd: 12, generated segments: 12 2025-09-07T09:18:31.0232556Z [db model] Peek db timeseries 2025-09-07T09:18:31.0232740Z :{ 2025-09-07T09:18:31.0232888Z "created_at": 1757236710, 2025-09-07T09:18:31.0233063Z "type": "utilization", 2025-09-07T09:18:31.0233241Z "tags": [ 2025-09-07T09:18:31.0233395Z "record" 2025-09-07T09:18:31.0233549Z ], 2025-09-07T09:18:31.0233690Z "time_stamp": 1757231021, 2025-09-07T09:18:31.0233877Z "repo": "pytorch/pytorch", 2025-09-07T09:18:31.0234061Z "workflow_id": 17525285611, 2025-09-07T09:18:31.0234239Z "run_attempt": 1, 2025-09-07T09:18:31.0234400Z "job_id": 49775585822, 2025-09-07T09:18:31.0234609Z "workflow_name": "inductor-perf-nightly-x86", 2025-09-07T09:18:31.0234975Z "job_name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 3, 5, linux.24xl.spr-metal)", 2025-09-07T09:18:31.0235357Z "json_data": "{}" 2025-09-07T09:18:31.0235509Z } 2025-09-07T09:18:31.0235810Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585822/metadata 2025-09-07T09:18:31.0236315Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585822/metadata 2025-09-07T09:18:31.0236823Z Writing 377 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585822/time_series 2025-09-07T09:18:31.0237341Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585822/time_series 2025-09-07T09:18:31.1016710Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T09:18:31.1017062Z with: 2025-09-07T09:18:31.1017252Z env: 2025-09-07T09:18:31.1017459Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:31.1017863Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:31.1018269Z DEVICE_NAME: 2025-09-07T09:18:31.1018475Z DEVICE_TYPE: 2025-09-07T09:18:31.1018684Z ##[endgroup] 2025-09-07T09:18:31.1033529Z ##[group]Run set -eou pipefail 2025-09-07T09:18:31.1033892Z set -eou pipefail 2025-09-07T09:18:31.1034139Z  2025-09-07T09:18:31.1034460Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T09:18:31.1034837Z for _ in $(seq 1440); do 2025-09-07T09:18:31.1035143Z  # Break if no ssh session exists anymore 2025-09-07T09:18:31.1035450Z  if [ "$(who)" = "" ]; then 2025-09-07T09:18:31.1035712Z  break 2025-09-07T09:18:31.1035962Z  fi 2025-09-07T09:18:31.1036175Z  echo "." 2025-09-07T09:18:31.1036388Z  sleep 5 2025-09-07T09:18:31.1036602Z done 2025-09-07T09:18:31.1041689Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:31.1042013Z env: 2025-09-07T09:18:31.1042214Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:31.1042599Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:31.1043012Z DEVICE_NAME: 2025-09-07T09:18:31.1043226Z DEVICE_TYPE: 2025-09-07T09:18:31.1043426Z ##[endgroup] 2025-09-07T09:18:31.1062249Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T09:18:31.1125791Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T09:18:31.1126137Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T09:18:31.1126398Z # shellcheck disable=SC2046 2025-09-07T09:18:31.1126629Z docker stop $(docker ps -q) || true 2025-09-07T09:18:31.1126844Z # Prune all of the docker images 2025-09-07T09:18:31.1127059Z docker system prune -af 2025-09-07T09:18:31.1130845Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:31.1131237Z env: 2025-09-07T09:18:31.1131395Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:18:31.1131707Z DOCKER_CONTAINER_ID: 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:31.1132005Z DEVICE_NAME: 2025-09-07T09:18:31.1132171Z DEVICE_TYPE: 2025-09-07T09:18:31.1132325Z ##[endgroup] 2025-09-07T09:18:42.1404468Z 16ee92046b96 2025-09-07T09:18:42.5279494Z Deleted Containers: 2025-09-07T09:18:42.5279827Z 16ee92046b96e0841dd263249aa4befef8562f40e5dc208710813c908b64afc5 2025-09-07T09:18:42.5280034Z 2025-09-07T09:18:48.7888310Z Deleted Images: 2025-09-07T09:18:48.7888972Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:18:49.2619232Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:18:49.2633690Z http.https://github.com/.extraheader 2025-09-07T09:18:49.2640435Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T09:18:49.2663015Z [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' || :" 2025-09-07T09:18:49.2909592Z Entering 'android/libs/fbjni' 2025-09-07T09:18:49.2938304Z http.https://github.com/.extraheader 2025-09-07T09:18:49.2964443Z Entering 'third_party/FP16' 2025-09-07T09:18:49.2997832Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3021888Z Entering 'third_party/FXdiv' 2025-09-07T09:18:49.3053431Z 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'third_party/composable_kernel' 2025-09-07T09:18:49.3530388Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3559924Z Entering 'third_party/cpp-httplib' 2025-09-07T09:18:49.3589190Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3615320Z Entering 'third_party/cpuinfo' 2025-09-07T09:18:49.3644784Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3672683Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:18:49.3703493Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3731967Z Entering 'third_party/cutlass' 2025-09-07T09:18:49.3762610Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3796615Z Entering 'third_party/fbgemm' 2025-09-07T09:18:49.3823543Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3850406Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:18:49.3880067Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3904226Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:18:49.3932435Z http.https://github.com/.extraheader 2025-09-07T09:18:49.3961041Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:18:49.3990687Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4017388Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:18:49.4043834Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4073793Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:18:49.4102854Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4132186Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:18:49.4163968Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4190376Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:18:49.4218415Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4246460Z Entering 'third_party/flash-attention' 2025-09-07T09:18:49.4276153Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4304508Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:18:49.4334202Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4366234Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:18:49.4395160Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4427859Z Entering 'third_party/flatbuffers' 2025-09-07T09:18:49.4459140Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4486896Z Entering 'third_party/fmt' 2025-09-07T09:18:49.4512805Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4535479Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:18:49.4567008Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4593802Z Entering 'third_party/gloo' 2025-09-07T09:18:49.4623740Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4651062Z Entering 'third_party/googletest' 2025-09-07T09:18:49.4682921Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4709823Z Entering 'third_party/ideep' 2025-09-07T09:18:49.4737729Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4763137Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:18:49.4792925Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4826528Z Entering 'third_party/ittapi' 2025-09-07T09:18:49.4856565Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4884536Z Entering 'third_party/kineto' 2025-09-07T09:18:49.4915147Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4941422Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:18:49.4972565Z http.https://github.com/.extraheader 2025-09-07T09:18:49.4999550Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:18:49.5031656Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5060523Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:18:49.5089141Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5114485Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:18:49.5142334Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5169441Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:18:49.5198053Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5225311Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:18:49.5253846Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5283160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:18:49.5314153Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5339527Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:18:49.5369089Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5394821Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:18:49.5424617Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5451387Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:18:49.5478225Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5507967Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:18:49.5537867Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5565383Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:18:49.5594853Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5622399Z Entering 'third_party/kleidiai' 2025-09-07T09:18:49.5650759Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5677402Z Entering 'third_party/mimalloc' 2025-09-07T09:18:49.5707625Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5733437Z Entering 'third_party/nlohmann' 2025-09-07T09:18:49.5761311Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5789542Z Entering 'third_party/onnx' 2025-09-07T09:18:49.5819121Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5855577Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:18:49.5888354Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5916052Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:18:49.5947264Z http.https://github.com/.extraheader 2025-09-07T09:18:49.5976081Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:18:49.6006048Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6031598Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:18:49.6059664Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6086289Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:18:49.6114354Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6139405Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:18:49.6166577Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6193782Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:18:49.6222905Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6249551Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:18:49.6281000Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6307702Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:18:49.6336345Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6363741Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:18:49.6394782Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6422597Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:18:49.6453280Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6479979Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:18:49.6509259Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6547759Z Entering 'third_party/pocketfft' 2025-09-07T09:18:49.6578744Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6605538Z Entering 'third_party/protobuf' 2025-09-07T09:18:49.6634598Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6662888Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:18:49.6694996Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6720688Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:18:49.6750431Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6778489Z Entering 'third_party/psimd' 2025-09-07T09:18:49.6805978Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6834031Z Entering 'third_party/pthreadpool' 2025-09-07T09:18:49.6863386Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6892595Z Entering 'third_party/pybind11' 2025-09-07T09:18:49.6923517Z http.https://github.com/.extraheader 2025-09-07T09:18:49.6949410Z Entering 'third_party/python-peachpy' 2025-09-07T09:18:49.6980177Z http.https://github.com/.extraheader 2025-09-07T09:18:49.7005419Z Entering 'third_party/sleef' 2025-09-07T09:18:49.7033872Z http.https://github.com/.extraheader 2025-09-07T09:18:49.7057356Z Entering 'third_party/tensorpipe' 2025-09-07T09:18:49.7086440Z http.https://github.com/.extraheader 2025-09-07T09:18:49.7111801Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:18:49.7140304Z http.https://github.com/.extraheader 2025-09-07T09:18:49.7166727Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:18:49.7196306Z http.https://github.com/.extraheader 2025-09-07T09:18:49.7221827Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:18:49.7249862Z http.https://github.com/.extraheader 2025-09-07T09:18:49.7277368Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:18:49.7306795Z http.https://github.com/.extraheader 2025-09-07T09:18:49.7332474Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:18:49.7360914Z http.https://github.com/.extraheader 2025-09-07T09:18:49.7456115Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T09:18:49.7469925Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T09:18:49.7473349Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:18:49.7473694Z ##[endgroup] 2025-09-07T09:18:49.7548439Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T09:18:57.0739082Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T09:19:09.3854652Z Cleaning up orphan processes