2025-09-07T07:37:56.0451872Z Current runner version: '2.328.0' 2025-09-07T07:37:56.0456038Z Runner name: 'i-0d2173bc2520f8d04' 2025-09-07T07:37:56.0456709Z Runner group name: 'default' 2025-09-07T07:37:56.0457384Z Machine name: 'ip-10-0-60-169' 2025-09-07T07:37:56.0459344Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:37:56.0460990Z Contents: read 2025-09-07T07:37:56.0461428Z Metadata: read 2025-09-07T07:37:56.0461814Z ##[endgroup] 2025-09-07T07:37:56.0463319Z Secret source: Actions 2025-09-07T07:37:56.0463850Z Prepare workflow directory 2025-09-07T07:37:56.0810246Z Prepare all required actions 2025-09-07T07:37:56.0839759Z Getting action download info 2025-09-07T07:37:56.3052882Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:37:57.9629693Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:38:10.4456071Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:38:10.7530885Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:38:10.9694455Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:38:11.1018423Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:38:11.3416752Z Getting action download info 2025-09-07T07:38:11.4355248Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:38:11.6583426Z Getting action download info 2025-09-07T07:38:11.7716993Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:38:11.9409162Z Getting action download info 2025-09-07T07:38:12.0518908Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:38:12.1952098Z Getting action download info 2025-09-07T07:38:12.3362071Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:38:12.3364794Z ##[group] Inputs 2025-09-07T07:38:12.3365105Z build-environment: linux-jammy-py3.9-gcc11-build 2025-09-07T07:38:12.3367434Z 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"}]} 2025-09-07T07:38:12.3370304Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:38:12.3370963Z sync-tag: 2025-09-07T07:38:12.3371551Z timeout-minutes: 720 2025-09-07T07:38:12.3371806Z use-gha: 2025-09-07T07:38:12.3372291Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:38:12.3372778Z s3-bucket: gha-artifacts 2025-09-07T07:38:12.3373058Z aws-role-to-assume: 2025-09-07T07:38:12.3373466Z disable-monitor: false 2025-09-07T07:38:12.3373717Z monitor-log-interval: 15 2025-09-07T07:38:12.3373995Z monitor-data-collect-interval: 4 2025-09-07T07:38:12.3374259Z ##[endgroup] 2025-09-07T07:38:12.3374632Z Complete job name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:38:12.4080712Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:38:12.4145425Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:38:12.4151203Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:12.4151587Z ##[endgroup] 2025-09-07T07:38:13.3657377Z Runner Type: linux.24xl.spr-metal 2025-09-07T07:38:13.3657678Z Instance Type: c7i.metal-24xl 2025-09-07T07:38:13.3679562Z AMI Name: unknown 2025-09-07T07:38:13.3679734Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T07:38:17.0442904Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:38:17.0443206Z with: 2025-09-07T07:38:17.0443708Z github-secret: *** 2025-09-07T07:38:17.0444149Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:38:17.0444590Z activate-with-label: false 2025-09-07T07:38:17.0444781Z label: with-ssh 2025-09-07T07:38:17.0444952Z remove-existing-keys: true 2025-09-07T07:38:17.0445135Z fail-silently: true 2025-09-07T07:38:17.0445304Z env: 2025-09-07T07:38:17.0445456Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:17.0445634Z ##[endgroup] 2025-09-07T07:38:17.1496900Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:38:17.1497583Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:38:17.1654336Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:38:17.1654756Z with: 2025-09-07T07:38:17.1654980Z no-sudo: true 2025-09-07T07:38:17.1655217Z submodules: recursive 2025-09-07T07:38:17.1655488Z fetch-depth: 0 2025-09-07T07:38:17.1655715Z env: 2025-09-07T07:38:17.1655941Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:17.1656201Z ##[endgroup] 2025-09-07T07:38:17.1731948Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:38:17.1732906Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:38:17.1742042Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:17.1742442Z env: 2025-09-07T07:38:17.1742717Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:17.1743036Z ##[endgroup] 2025-09-07T07:38:17.1810643Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:38:17.1810944Z # Use all available CPUs for fetching 2025-09-07T07:38:17.1811168Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:38:17.1811384Z git config --global fetch.parallel 0 2025-09-07T07:38:17.1811625Z git config --global submodule.fetchJobs 0 2025-09-07T07:38:17.1811839Z  2025-09-07T07:38:17.1812068Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:38:17.1812342Z # do it here as well just in case 2025-09-07T07:38:17.1812549Z if [[ -d .git ]]; then 2025-09-07T07:38:17.1812747Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:38:17.1812947Z  sudo git clean -ffdx 2025-09-07T07:38:17.1813121Z  else 2025-09-07T07:38:17.1813379Z  git clean -ffdx 2025-09-07T07:38:17.1813551Z  fi 2025-09-07T07:38:17.1813696Z fi 2025-09-07T07:38:17.1817626Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:17.1817860Z env: 2025-09-07T07:38:17.1818014Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:17.1818188Z NO_SUDO: true 2025-09-07T07:38:17.1818339Z ##[endgroup] 2025-09-07T07:38:17.1911987Z ##[group]Run actions/checkout@v4 2025-09-07T07:38:17.1912198Z with: 2025-09-07T07:38:17.1912379Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:17.1912588Z fetch-depth: 0 2025-09-07T07:38:17.1912758Z submodules: recursive 2025-09-07T07:38:17.1912942Z show-progress: false 2025-09-07T07:38:17.1913121Z repository: pytorch/pytorch 2025-09-07T07:38:17.1913462Z token: *** 2025-09-07T07:38:17.1913630Z ssh-strict: true 2025-09-07T07:38:17.1913794Z ssh-user: git 2025-09-07T07:38:17.1913969Z persist-credentials: true 2025-09-07T07:38:17.1914151Z clean: true 2025-09-07T07:38:17.1914335Z sparse-checkout-cone-mode: true 2025-09-07T07:38:17.1914530Z fetch-tags: false 2025-09-07T07:38:17.1914677Z lfs: false 2025-09-07T07:38:17.1914837Z set-safe-directory: true 2025-09-07T07:38:17.1915019Z env: 2025-09-07T07:38:17.1915167Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:17.1915329Z ##[endgroup] 2025-09-07T07:38:17.2702516Z Syncing repository: pytorch/pytorch 2025-09-07T07:38:17.2703442Z ##[group]Getting Git version info 2025-09-07T07:38:17.2703756Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:38:17.2704185Z [command]/usr/bin/git version 2025-09-07T07:38:17.2893722Z git version 2.47.1 2025-09-07T07:38:17.2909644Z ##[endgroup] 2025-09-07T07:38:17.2917103Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/e75656c1-bbfe-4e12-ab21-319ef36c70ed/.gitconfig' 2025-09-07T07:38:17.2933204Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/e75656c1-bbfe-4e12-ab21-319ef36c70ed' before making global git config changes 2025-09-07T07:38:17.2933786Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:38:17.2936751Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:38:17.2975765Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:38:17.2977785Z ##[group]Initializing the repository 2025-09-07T07:38:17.2980561Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:38:17.3022044Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:38:17.3022388Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:38:17.3022711Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:38:17.3022953Z hint: 2025-09-07T07:38:17.3023158Z hint: git config --global init.defaultBranch 2025-09-07T07:38:17.3023381Z hint: 2025-09-07T07:38:17.3023601Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:38:17.3023927Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:38:17.3024179Z hint: 2025-09-07T07:38:17.3024340Z hint: git branch -m 2025-09-07T07:38:17.3042813Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:38:17.3049007Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:38:17.3079138Z ##[endgroup] 2025-09-07T07:38:17.3079453Z ##[group]Disabling automatic garbage collection 2025-09-07T07:38:17.3082597Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:38:17.3101718Z ##[endgroup] 2025-09-07T07:38:17.3102009Z ##[group]Setting up auth 2025-09-07T07:38:17.3107053Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:38:17.3129091Z [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' || :" 2025-09-07T07:38:17.3438044Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:38:17.3458732Z [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' || :" 2025-09-07T07:38:17.3711208Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:17.3754071Z ##[endgroup] 2025-09-07T07:38:17.3754384Z ##[group]Fetching the repository 2025-09-07T07:38:17.3759554Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:38:51.3084300Z From https://github.com/pytorch/pytorch 2025-09-07T07:38:51.3084669Z * [new branch] 160583 -> origin/160583 2025-09-07T07:38:51.3085012Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:38:51.3087246Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:38:51.3087662Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:38:51.3088070Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:38:51.3088407Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:38:51.3088784Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:38:51.3089164Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:38:51.3089495Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:38:51.3089869Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:38:51.3090497Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:38:51.3090834Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:38:51.3091259Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:38:51.3091591Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:38:51.3091908Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:38:51.3092241Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:38:51.3092652Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:38:51.3093045Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:38:51.3093391Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:38:51.3093740Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:38:51.3094053Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:38:51.3094343Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:38:51.3094619Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:38:51.3094911Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:38:51.3095239Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:38:51.3095783Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:38:51.3096319Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:38:51.3096893Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:38:51.3097914Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:38:51.3098222Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:38:51.3098823Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:38:51.3100020Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:38:51.3100646Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:38:51.3101204Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:38:51.3102413Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:38:51.3102909Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:38:51.3103475Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:38:51.3104187Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:38:51.3104767Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:38:51.3105275Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:38:51.3106058Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:38:51.3106682Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:38:51.3107519Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:38:51.3108045Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:38:51.3108560Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:38:51.3109188Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:38:51.3109767Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:38:51.3110283Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:38:51.3110875Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:38:51.3111697Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:38:51.3112155Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:38:51.3112718Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:38:51.3113308Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:38:51.3113852Z 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2025-09-07T07:38:51.6193057Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:38:51.6193790Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:38:51.6194070Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:38:51.6194637Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:38:51.6194932Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:38:51.6195224Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:38:51.6195555Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:38:51.6195897Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:38:51.6196213Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:38:51.6196824Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:38:51.6197132Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:38:51.6197426Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:38:51.6198106Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:38:51.6198477Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:38:51.6198799Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:38:51.6199154Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:38:51.6199541Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:38:51.6199800Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:38:51.6200156Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:38:51.6200559Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:38:51.6200921Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:38:51.6201197Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:38:51.6201853Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:38:51.6202231Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:38:51.6202573Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:38:51.6202925Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:38:51.6203312Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:38:51.6203551Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:38:51.6203873Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:38:51.6204207Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:38:51.6204539Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:38:51.6204845Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:38:51.6205150Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:38:51.6205502Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:38:51.6206119Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:38:51.6206460Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:38:51.6207349Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:38:51.6207635Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:38:51.6207991Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:38:51.6208375Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:38:51.6208913Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:38:51.6209383Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:38:51.6209771Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:38:51.6210128Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:38:51.6210500Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:38:51.6210936Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:38:51.6211513Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:38:51.6211767Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:38:51.6212169Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:38:51.6212621Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:38:51.6213094Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:38:51.6213505Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:38:51.6213961Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:38:51.6214259Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:38:51.6214619Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:38:51.6214951Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:38:51.6215240Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:38:51.6216062Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:38:51.6216237Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:38:51.6216587Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:38:51.6216929Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:38:51.6217269Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:38:51.6217672Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:38:51.6218343Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:38:51.6218694Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:38:51.6219115Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:38:51.6219511Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:38:51.6219893Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:38:51.6220238Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:38:51.6220621Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:38:51.6220924Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:38:51.6221535Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:38:51.6221734Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:38:51.6222095Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:38:51.6222647Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:38:51.6222869Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:38:51.6223489Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:38:51.6223709Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:38:51.6224240Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:38:51.6224629Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:38:51.6224958Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:38:51.6225646Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:38:51.6226206Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:38:51.6226551Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:38:51.6227119Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:38:51.6227379Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:38:51.6227813Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:38:51.6228192Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:38:51.6228563Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:38:51.6229122Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:38:51.6230014Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:38:51.6230245Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:38:51.6230551Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:38:51.6230911Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:38:51.6231224Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:38:51.6231643Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:38:51.6231967Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:38:51.6232338Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:38:51.6232722Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:38:51.6233101Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:38:51.6233514Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:38:51.6233863Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:38:51.6234511Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:38:51.6234740Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:38:51.6235098Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:38:51.6235416Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:38:51.6235773Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:38:51.6236097Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:38:51.6236529Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:38:51.6236824Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:38:51.6237425Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:38:51.6237845Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:38:51.6238157Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:38:51.6238519Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:38:51.6238916Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:38:51.6239324Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:38:51.6239650Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:38:51.6239991Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:38:51.6240335Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:38:51.6240893Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:38:51.6241177Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:38:51.6242081Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:38:51.6242333Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:38:51.6242685Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:38:51.6242997Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:38:51.6243433Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:38:51.6243737Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:38:51.6244197Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:38:51.6244553Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:38:51.6244860Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:38:51.6245681Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:38:51.6245930Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:38:51.6246282Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:38:51.6246608Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:38:51.6247013Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:38:51.6247321Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:38:51.6247640Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:38:51.6248006Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:38:51.6248317Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:38:51.6248691Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:38:51.6249161Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:38:51.6249571Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:38:51.6249943Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:38:51.6250272Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:38:51.6250580Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:38:51.6250955Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:38:51.6251331Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:38:51.6251615Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:38:51.6251992Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:38:51.6252311Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:38:51.6252730Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:38:51.6253096Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:38:51.6253500Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:38:51.6253905Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:38:51.6254254Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:38:51.6254596Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:38:51.6254930Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:38:51.6255281Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:38:51.6255602Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:38:51.6256175Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:38:51.6256445Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:38:51.6256789Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:38:51.6257120Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:38:51.6257448Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:38:51.6257777Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:38:51.6258130Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:38:51.6258492Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:38:51.6258825Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:38:51.6259174Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:38:51.6259637Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:38:51.6259975Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:38:51.6260367Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:38:51.6260638Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:38:51.6260987Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:38:51.6261352Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:38:51.6261699Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:38:51.6262291Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:38:51.6262515Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:38:51.6262922Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:38:51.6263297Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:38:51.6263619Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:38:51.6263936Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:38:51.6264565Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:38:51.6264751Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:38:51.6265111Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:38:51.6265837Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:38:51.6266091Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:38:51.6266444Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:38:51.6266792Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:38:51.6267138Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:38:51.6267542Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:38:51.6267969Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:38:51.6268296Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:38:51.6268670Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:38:51.6269036Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:38:51.6269380Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:38:51.6269691Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:38:51.6270061Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:38:51.6270509Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:38:51.6270872Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:38:51.6271205Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:38:51.6271564Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:38:51.6271902Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:38:51.6272265Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:38:51.6272836Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:38:51.6273122Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:38:51.6273464Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:38:51.6273919Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:38:51.6274250Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:38:51.6274592Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:38:51.6275155Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:38:51.6275420Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:38:51.6275762Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:38:51.6276082Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:38:51.6276439Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:38:51.6276779Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:38:51.6277156Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:38:51.6277514Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:38:51.6277838Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:38:51.6278238Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:38:51.6278556Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:38:51.6278887Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:38:51.6279232Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:38:51.6279657Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:38:51.6280053Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:38:51.6280376Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:38:51.6280736Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:38:51.6281081Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:38:51.6281578Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:38:51.6281902Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:38:51.6282258Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:38:51.6282630Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:38:51.6282917Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:38:51.6283286Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:38:51.6283653Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:38:51.6283983Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:38:51.6284322Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:38:51.6284666Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:38:51.6285212Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:38:51.6285677Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:38:51.6286087Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:38:51.6286657Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:38:51.6286988Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:38:51.6287304Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:38:51.6287759Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:38:51.6288016Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:38:51.6288342Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:38:51.6288649Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:38:51.6288983Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:38:51.6289377Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:38:51.6289939Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:38:51.6290180Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:38:51.6290771Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:38:51.6291185Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:38:51.6291547Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:38:51.6292127Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:38:51.6292381Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:38:51.6292792Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:38:51.6293080Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:38:51.6293429Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:38:51.6293981Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:38:51.6294320Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:38:51.6294725Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:38:51.6295315Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:38:51.6295730Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:38:51.6296365Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:38:51.6297087Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:38:51.6297546Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:38:51.6298118Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:38:51.6298589Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:38:51.6299235Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:38:51.6299562Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:38:51.6299968Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:38:51.6300313Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:38:51.6300609Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:38:51.6300936Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:38:51.6301265Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:38:51.6301610Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:38:51.6301911Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:38:51.6302835Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:38:51.6303225Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:38:51.6303384Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:38:51.6303814Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:38:51.6304401Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:38:51.6304556Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:38:51.6304980Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:38:51.6305547Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:38:51.6305917Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:38:51.6306219Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:38:51.6306576Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:38:51.6306875Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:38:51.6307486Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:38:51.6307724Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:38:51.6308132Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:38:51.6308484Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:38:51.6308798Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:38:51.6309490Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:38:51.6309727Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:38:51.6310106Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:38:51.6310455Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:38:51.6310769Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:38:51.6311380Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:38:51.6311699Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:38:51.6312446Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:38:51.6312607Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:38:51.6312913Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:38:51.6313511Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:38:51.6313902Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:38:51.6314487Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:38:51.6315104Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:38:51.6315486Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:38:51.6316044Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:38:51.6316357Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:38:51.6316860Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:38:51.6317641Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:38:51.6317929Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:38:51.6318519Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:38:51.6318824Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:38:51.6319375Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:38:51.6319729Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:38:51.6320540Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:38:51.6320696Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:38:51.6321135Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:38:51.6321482Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:38:51.6321774Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:38:51.6322121Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:38:51.6322435Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:38:51.6322980Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:38:51.6323184Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:38:51.6323531Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:38:51.6324240Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:38:51.6324487Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:38:51.6324799Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:38:51.6325268Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:38:51.6325877Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:38:51.6326185Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:38:51.6326480Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:38:51.6326860Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:38:51.6327238Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:38:51.6327592Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:38:51.6327888Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:38:51.6328210Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:38:51.6328611Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:38:51.6328915Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:38:51.6329634Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:38:51.6329853Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:38:51.6330440Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:38:51.6330600Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:38:51.6330962Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:38:51.6331265Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:38:51.6331626Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:38:51.6331948Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:38:51.6332296Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:38:51.6332673Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:38:51.6332971Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:38:51.6333314Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:38:51.6333700Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:38:51.6334117Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:38:51.6334473Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:38:51.6334919Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:38:51.6335352Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:38:51.6335661Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:38:51.6336028Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:38:51.6336375Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:38:51.6336740Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:38:51.6337083Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:38:51.6337446Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:38:51.6337786Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:38:51.6338100Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:38:51.6338447Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:38:51.6338887Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:38:51.6339492Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:38:51.6339732Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:38:51.6340030Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:38:51.6340570Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:38:51.6340829Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:38:51.6341181Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:38:51.6341510Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:38:51.6341882Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:38:51.6342238Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:38:51.6342537Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:38:51.6342875Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:38:51.6343220Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:38:51.6343537Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:38:51.6343909Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:38:51.6344247Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:38:51.6344563Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:38:51.6344899Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:38:51.6345239Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:38:51.6345727Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:38:51.6346086Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:38:51.6346364Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:38:51.6346684Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:38:51.6347044Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:38:51.6347740Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:38:51.6348033Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:38:51.6348407Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:38:51.6348771Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:38:51.6349239Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:38:51.6349577Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:38:51.6349914Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:38:51.6350300Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:38:51.6350699Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:38:51.6351120Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:38:51.6351509Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:38:51.6351911Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:38:51.6352270Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:38:51.6352588Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:38:51.6352948Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:38:51.6353290Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:38:51.6353600Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:38:51.6354008Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:38:51.6354310Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:38:51.6354657Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:38:51.6354977Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:38:51.6355327Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:38:51.6355714Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:38:51.6356028Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:38:51.6356390Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:38:51.6356743Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:38:51.6357084Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:38:51.6357436Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:38:51.6357754Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:38:51.6358098Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:38:51.6358752Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:38:51.6359055Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:38:51.6359394Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:38:51.6359757Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:38:51.6360146Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:38:51.6360443Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:38:51.6360766Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:38:51.6361095Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:38:51.6361662Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:38:51.6361932Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:38:51.6362497Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:38:51.6362732Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:38:51.6363426Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:38:51.6363799Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:38:51.6364203Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:38:51.6364510Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:38:51.6364953Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:38:51.6365270Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:38:51.6365707Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:38:51.6366042Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:38:51.6366349Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:38:51.6366738Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:38:51.6367146Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:38:51.6367470Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:38:51.6367768Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:38:51.6368206Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:38:51.6368779Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:38:51.6369160Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:38:51.6369703Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:38:51.6370049Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:38:51.6370349Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:38:51.6370698Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:38:51.6371240Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:38:51.6371593Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:38:51.6371999Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:38:51.6372411Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:38:51.6373018Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:38:51.6373719Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:38:51.6374323Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:38:51.6374636Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:38:51.6375170Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:38:51.6375522Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:38:51.6375892Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:38:51.6376519Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:38:51.6376828Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:38:51.6377253Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:38:51.6377639Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:38:51.6377992Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:38:51.6378841Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:38:51.6379201Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:38:51.6379619Z * [new tag] flight_5 -> flight_5 2025-09-07T07:38:51.6380086Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:38:51.6380641Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:38:51.6380964Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:38:51.6381345Z * [new tag] forpull1 -> forpull1 2025-09-07T07:38:51.6381988Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:38:51.6382364Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:38:51.6382917Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:38:51.6383283Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:38:51.6383659Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:38:51.6384212Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:38:51.6384939Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:38:51.6385349Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:38:51.6386016Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:38:51.6386510Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:38:51.6387352Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:38:51.6387746Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:38:51.6388472Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:38:51.6388949Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:38:51.6389514Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:38:51.6389921Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:38:51.6390383Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:38:51.6390808Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:38:51.6391240Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:38:51.6392212Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:38:51.6392643Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:38:51.6393013Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:38:51.6393536Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:38:51.6393913Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:38:51.6394351Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:38:51.6394794Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:38:51.6395257Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:38:51.6395719Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:38:51.6396192Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:38:51.6396618Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:38:51.6397050Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:38:51.6397477Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:38:51.6397922Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:38:51.6398405Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:38:51.6399424Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:38:51.6399837Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:38:51.6400328Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:38:51.6400707Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:38:51.6401121Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:38:51.6401545Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:38:51.6402033Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:38:51.6402573Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:38:51.6403076Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:38:51.6403525Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:38:51.6403991Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:38:51.6404486Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:38:51.6404945Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:38:51.6405466Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:38:51.6405830Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:38:51.6406287Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:38:51.6406706Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:38:51.6407220Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:38:51.6407676Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:38:51.6408148Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:38:51.6408657Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:38:51.6409136Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:38:51.6409603Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:38:51.6409979Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:38:51.6410429Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:38:51.6410875Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:38:51.6411352Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:38:51.6411814Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:38:51.6412193Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:38:51.6412593Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:38:51.6412998Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:38:51.6413418Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:38:51.6413801Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:38:51.6414105Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:38:51.6414647Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:38:51.6415067Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:38:51.6415739Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:38:51.6416116Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:38:51.6416568Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:38:51.6417056Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:38:51.6417826Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:38:51.6418207Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:38:51.6418663Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:38:51.6419172Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:38:51.6419580Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:38:51.6420049Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:38:51.6420480Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:38:51.6420831Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:38:51.6421319Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:38:51.6421758Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:38:51.6422109Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:38:51.6422598Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:38:51.6422997Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:38:51.6423493Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:38:51.6423925Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:38:51.6424414Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:38:51.6424860Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:38:51.6425209Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:38:51.6425868Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:38:51.6426233Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:38:51.6426732Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:38:51.6427206Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:38:51.6427665Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:38:51.6428065Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:38:51.6428497Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:38:51.6429207Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:38:51.6429532Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:38:51.6429977Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:38:51.6430402Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:38:51.6430860Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:38:51.6431314Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:38:51.6431710Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:38:51.6432184Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:38:51.6432605Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:38:51.6433578Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:38:51.6433884Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:38:51.6434369Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:38:51.6434805Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:38:51.6435278Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:38:51.6435674Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:38:51.6436102Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:38:51.6436524Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:38:51.6436987Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:38:51.6437421Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:38:51.6437868Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:38:51.6438350Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:38:51.6438839Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:38:51.6439673Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:38:51.6439895Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:38:51.6440110Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:38:51.6440461Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:38:51.6441463Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:38:51.6441705Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:38:51.6442418Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:38:51.6442639Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:38:51.6443039Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:38:51.6443272Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:38:51.6443622Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:38:51.6444128Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:38:51.6444602Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:38:51.6445065Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:38:51.6445585Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:38:51.6446077Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:38:51.6446593Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:38:51.6447485Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:38:51.6447923Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:38:51.6448413Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:38:51.6449125Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:38:51.6453260Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:38:51.6453645Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:38:51.6454087Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:38:51.6454633Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:38:51.6455487Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:38:51.6455915Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:38:51.6456630Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:38:51.6457016Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:38:51.6457558Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:38:51.6458053Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:38:51.6458675Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:51.6459074Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:38:51.6459498Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:38:51.6460047Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:38:51.6460478Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:38:51.6461259Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:38:51.6461583Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:38:51.6462309Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:38:51.6462588Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:38:51.6463101Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:38:51.6463590Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:38:51.6464054Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:38:51.6464544Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:38:51.6465041Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:38:51.6465514Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:38:51.6465969Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:38:51.6466461Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:38:51.6466919Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:38:51.6467450Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:38:51.6467958Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:38:51.6468429Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:38:51.6468917Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:38:51.6469390Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:38:51.6469885Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:38:51.6470374Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:38:51.6470824Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:38:51.6471222Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:38:51.6471715Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:38:51.6472185Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:38:51.6472667Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:38:51.6473152Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:38:51.6473609Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:38:51.6474080Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:38:51.6474541Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:38:51.6475301Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:38:51.6475718Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:38:51.6476183Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:38:51.6476841Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:38:51.6477277Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:38:51.6477789Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:38:51.6478237Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:38:51.6478731Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:38:51.6479245Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:38:51.6479747Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:38:51.6480211Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:38:51.6480696Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:38:51.6481168Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:38:51.6481852Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:38:51.6482221Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:38:51.6482736Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:38:51.6483675Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:38:51.6484154Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:38:51.6484637Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:38:51.6485236Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:38:51.6485694Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:38:51.6486093Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:38:51.6486572Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:38:51.6487082Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:38:51.6487628Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:38:51.6488125Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:38:51.6488672Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:38:51.6489126Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:38:51.6489632Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:38:51.6490362Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:38:51.6490754Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:38:51.6491275Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:38:51.6491658Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:38:51.6492174Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:38:51.6492655Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:38:51.6493146Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:38:51.6493674Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:38:51.6494030Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:38:51.6494533Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:38:51.6495221Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:38:51.6495546Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:38:51.6496097Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:38:51.6496757Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:38:51.6497136Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:38:51.6497627Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:38:51.6498102Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:38:51.6498653Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:38:51.6499330Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:38:51.6499672Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:38:51.6500164Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:38:51.6500622Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:38:51.6501276Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:38:51.6501610Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:38:51.6502096Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:38:51.6503088Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:38:51.6503562Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:38:51.6504043Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:38:51.6504531Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:38:51.6505322Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:38:51.6505736Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:38:51.6506140Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:38:51.6506698Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:38:51.6507061Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:38:51.6507575Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:38:51.6508084Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:38:51.6508577Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:38:51.6509064Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:38:51.6509598Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:38:51.6510086Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:38:51.6510585Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:38:51.6511138Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:38:51.6511534Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:38:51.6512053Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:38:51.6512428Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:38:51.6512843Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:38:51.6513353Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:38:51.6513805Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:38:51.6514173Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:38:51.6514702Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:38:51.6515362Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:38:51.6516104Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:38:51.6516574Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:38:51.6517249Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:38:51.6517701Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:38:51.6518099Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:38:51.6518615Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:38:51.6519138Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:38:51.6519842Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:38:51.6520220Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:38:51.6520723Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:38:51.6521448Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:38:51.6521830Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:38:51.6522220Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:38:51.6522604Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:38:51.6523134Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:38:51.6523437Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:38:51.6523962Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:38:51.6524300Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:38:51.6524679Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:38:51.6525091Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:38:51.6525499Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:38:51.6525913Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:38:51.6526345Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:38:51.6526673Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:38:51.6527068Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:38:51.6527611Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:38:51.6527962Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:38:51.6528500Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:38:51.6528826Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:38:51.6529248Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:38:51.6529798Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:38:51.6530206Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:38:51.6530735Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:38:51.6531101Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:38:51.6531448Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:38:51.6532034Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:38:51.6532606Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:38:51.6533273Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:38:51.6533635Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:38:51.6534154Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:38:51.6534466Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:38:51.6535010Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:38:51.6535223Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:38:51.6535567Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:38:51.6535874Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:38:51.6536820Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:38:51.6537376Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:38:51.6537780Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:38:51.6538366Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:38:51.6538743Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:38:51.6539321Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:38:51.6539535Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:38:51.6539880Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:38:51.6540480Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:38:51.6540879Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:38:51.6541460Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:38:51.6541840Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:38:51.6542417Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:38:51.6542798Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:38:51.6543384Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:38:51.6543604Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:38:51.6543939Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:38:51.6544243Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:38:51.6544993Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:38:51.6545412Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:38:51.6545998Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:38:51.6546605Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:38:51.6546920Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:38:51.6547487Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:38:51.6547880Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:38:51.6548310Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:38:51.6548864Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:38:51.6549460Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:38:51.6549693Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:38:51.6550000Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:38:51.6551737Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:38:51.6551867Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:38:51.6551978Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:38:51.6552079Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:38:51.6552223Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:38:51.6553104Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:38:51.6553220Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:38:51.6553437Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:38:51.6553881Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:38:51.6554282Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:38:51.6554687Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:38:51.6555211Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:38:51.6555694Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:38:51.6556241Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:38:51.6556616Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:38:51.6556871Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:38:51.6557416Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:38:51.6557726Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:38:51.6558032Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:38:51.6558583Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:38:51.6559259Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:38:51.6559659Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:38:51.6560073Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:38:51.6560672Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:38:51.6561065Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:38:51.6561413Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:38:51.6561945Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:38:51.6562342Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:38:51.6562994Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:38:51.6563352Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:38:51.6563757Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:38:51.6564192Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:38:51.6564783Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:38:51.6565205Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:38:51.6565917Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:38:51.6566320Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:38:51.6566669Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:38:51.6567107Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:38:51.6567645Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:38:51.6567986Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:38:51.6568294Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:38:51.6568620Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:38:51.6569214Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:38:51.6569476Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:38:51.6569757Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:38:51.6570719Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:38:51.6570927Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:38:51.6571544Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:38:51.6571951Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:38:51.6572636Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:38:51.6573210Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:38:51.6573442Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:38:51.6573987Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:38:51.6574598Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:38:51.6574786Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:38:51.6575450Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:38:51.6575866Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:38:51.6576456Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:38:51.6576854Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:38:51.6577461Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:38:51.6577886Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:38:51.6578253Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:38:51.6578792Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:38:51.6579197Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:38:51.6579491Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:38:51.6580026Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:38:51.6580242Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:38:51.6581220Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:38:51.6581595Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:38:51.6582137Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:38:51.6582706Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:38:51.6583143Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:38:51.6583676Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:38:51.6583927Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:38:51.6584458Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:38:51.6584901Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:38:51.6585303Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:38:51.6585959Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:38:51.6586357Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:38:51.6587046Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:38:51.6587278Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:38:51.6587809Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:38:51.6588346Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:38:51.6588770Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:38:51.6589078Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:38:51.6589670Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:38:51.6590030Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:38:51.6590558Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:38:51.6591097Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:38:51.6591444Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:38:51.6591876Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:38:51.6592462Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:38:51.6592669Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:38:51.6592984Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:38:51.6593558Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:38:51.6594030Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:38:51.6594243Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:38:51.6594600Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:38:51.6595256Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:38:51.6595877Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:38:51.6596139Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:38:51.6596476Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:38:51.6597013Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:38:51.6597364Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:38:51.6598101Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:38:51.6598482Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:38:51.6598796Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:38:51.6599398Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:38:51.6600018Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:38:51.6600394Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:38:51.6600939Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:38:51.6601232Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:38:51.6601826Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:38:51.6602133Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:38:51.6602476Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:38:51.6602796Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:38:51.6603382Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:38:51.6603707Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:38:51.6604294Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:38:51.6604679Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:38:51.6605341Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:38:51.6605688Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:38:51.6606240Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:38:51.6606629Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:38:51.6607230Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:38:51.6607626Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:38:51.6608216Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:38:51.6608576Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:38:51.6609186Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:38:51.6609450Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:38:51.6610075Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:38:51.6610602Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:38:51.6611015Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:38:51.6611545Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:38:51.6611921Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:38:51.6612279Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:38:51.6612844Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:38:51.6613443Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:38:51.6613811Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:38:51.6614406Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:38:51.6614955Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:38:51.6615323Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:38:51.6615925Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:38:51.6616322Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:38:51.6616667Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:38:51.6616967Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:38:51.6617322Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:38:51.6617840Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:38:51.6618428Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:38:51.6618838Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:38:51.6619369Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:38:51.6620022Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:38:51.6620724Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:38:51.6621139Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:38:51.6621804Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:38:51.6622204Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:38:51.6622882Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:38:51.6623261Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:38:51.6623652Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:38:51.6624287Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:38:51.6624668Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:38:51.6625254Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:38:51.6626006Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:38:51.6626405Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:38:51.6626949Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:38:51.6627409Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:38:51.6628047Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:38:51.6628368Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:38:51.6629008Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:38:51.6629545Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:38:51.6630209Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:38:51.6630748Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:38:51.6631129Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:38:51.6631478Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:38:51.6632072Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:38:51.6632506Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:38:51.6633103Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:38:51.6633641Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:38:51.6634053Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:38:51.6634657Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:38:51.6635076Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:38:51.6635669Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:38:51.6636033Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:38:51.6636629Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:38:51.6637023Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:38:51.7075377Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:38:51.7097347Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:51.7099880Z ##[endgroup] 2025-09-07T07:38:51.7100215Z ##[group]Determining the checkout info 2025-09-07T07:38:51.7100783Z ##[endgroup] 2025-09-07T07:38:51.7103347Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:38:51.7134786Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:38:51.7154198Z ##[group]Checking out the ref 2025-09-07T07:38:51.7156850Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:52.6676309Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:38:52.6676553Z 2025-09-07T07:38:52.6676698Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:38:52.6677251Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:38:52.6677626Z state without impacting any branches by switching back to a branch. 2025-09-07T07:38:52.6677817Z 2025-09-07T07:38:52.6677946Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:38:52.6678244Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:38:52.6678408Z 2025-09-07T07:38:52.6678502Z git switch -c 2025-09-07T07:38:52.6678627Z 2025-09-07T07:38:52.6678702Z Or undo this operation with: 2025-09-07T07:38:52.6678825Z 2025-09-07T07:38:52.6678890Z git switch - 2025-09-07T07:38:52.6678985Z 2025-09-07T07:38:52.6679133Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:38:52.6679328Z 2025-09-07T07:38:52.6679450Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:38:52.6727497Z ##[endgroup] 2025-09-07T07:38:52.6727791Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:38:52.6732627Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:52.6767918Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:38:52.6790324Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:38:52.6809502Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:38:52.6828205Z ##[endgroup] 2025-09-07T07:38:52.6828470Z ##[group]Fetching submodules 2025-09-07T07:38:52.6830813Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:38:52.7098426Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:38:52.7346913Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:38:52.7347993Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:38:52.7348632Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:38:52.7350000Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:38:52.7351616Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:38:52.7353504Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:38:52.7355046Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:38:52.7356700Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:38:52.7365485Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:38:52.7367356Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:38:52.7369079Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:38:52.7370937Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:38:52.7374327Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:38:52.7376347Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:38:52.7378329Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:38:52.7380711Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:38:52.7387738Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:38:52.7389795Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:38:52.7391978Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:38:52.7394053Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:38:52.7396297Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:38:52.7398483Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:38:52.7400737Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:38:52.7403026Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:38:52.7410197Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:38:52.7412615Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:38:52.7415041Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:38:52.7417669Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:38:52.7420308Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:38:52.7422744Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:38:52.7425360Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:38:52.7427978Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:38:52.7434934Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:38:52.7438628Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:38:52.7441447Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:38:52.7444190Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:38:52.7447162Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:38:52.7470368Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:38:52.9442375Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:38:52.9443002Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:38:52.9443565Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:38:52.9480038Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:38:52.9580102Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:38:53.1189353Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:38:53.1190403Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:38:53.1190902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:38:53.1191377Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:38:53.1191810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:38:53.1192276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:38:53.1192756Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:38:53.1380190Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:38:54.0953416Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:38:54.0954020Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:38:54.0954518Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:38:54.0955048Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:38:54.0955531Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:38:54.0956008Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:38:54.0956463Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:38:54.0956918Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:38:54.0957387Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:38:54.0958186Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:38:54.0958650Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:38:54.0959115Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:38:54.0959572Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:38:54.0960027Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:38:54.1951912Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:39:01.9071932Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:39:01.9072359Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:39:01.9072839Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:39:01.9073265Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:39:01.9073680Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:39:01.9074092Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:39:01.9074509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:39:01.9074893Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:39:01.9188223Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:39:01.9279575Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:39:01.9349419Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:39:01.9529924Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:39:02.0123561Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:39:02.0489154Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:39:02.5498212Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:39:02.6673536Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:39:02.6685493Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:02.6705754Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:39:05.6967059Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:39:05.7135309Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:39:05.9379661Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:39:05.9724968Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:39:06.0479748Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:39:06.0819344Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:39:06.5609662Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:39:06.6671726Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:39:06.6684502Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:06.6685675Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:06.6686814Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:06.6688229Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:06.6689521Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:06.6691354Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:06.6692761Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:39:06.6713865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:39:07.6868894Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:39:07.6869496Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:39:07.6870206Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:39:07.6870957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:39:07.7868906Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:39:08.3611841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:39:11.9122804Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:39:12.0880196Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:39:12.1668103Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:39:12.6366565Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:39:12.6723012Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:39:12.6808181Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:39:12.7634420Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:39:12.8147239Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:39:12.8162429Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:12.8165124Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:12.8183794Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:39:15.6087352Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:39:15.7702797Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:39:16.1969062Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:39:16.2942742Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:39:16.3194893Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:39:16.3487229Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:39:16.3665475Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:39:16.4013687Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:39:16.4105942Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:39:16.4118068Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:16.4135537Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:39:26.4754569Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:39:26.4910365Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:39:26.5695526Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:39:26.5705605Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:26.5706633Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:26.5708008Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:26.5729674Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:39:27.2743338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:39:27.4751295Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:39:27.5408413Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:39:27.5416138Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:27.5417410Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:27.5418695Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:27.5420090Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:27.5421428Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:27.5422974Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:27.5424430Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:27.5426147Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:27.5449547Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:39:28.8560607Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:39:28.8561280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:39:28.8561892Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:39:28.8562494Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:39:28.8563099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:39:28.8563711Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:39:28.9562333Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:39:32.9076988Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:39:32.9209519Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:39:32.9488339Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:39:32.9591051Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:39:32.9598415Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:32.9618458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:39:33.2098883Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:39:33.2241273Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:39:33.2564265Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:39:33.3338550Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:39:33.3464635Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:39:33.3764147Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:39:33.4215500Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:39:33.4541383Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:39:33.4833011Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:39:33.5684798Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:39:33.8329254Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:39:33.8351317Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:33.8372229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:39:34.8970896Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:39:34.9455117Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:39:34.9465413Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:34.9466535Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:34.9467738Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:34.9469020Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:34.9470456Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:34.9472077Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:34.9473492Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:34.9474853Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:34.9497379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:39:35.5295873Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:39:35.5297378Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:39:35.5298249Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:39:35.5298935Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:39:35.6296295Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:39:35.8257116Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:39:40.8641051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:39:41.0343831Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:39:41.0662731Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:39:41.0790473Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:39:41.1592928Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:39:41.1695691Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:39:41.1808585Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:39:41.1918176Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:39:41.1928098Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:41.1929363Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:41.1950643Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:39:42.9709863Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:39:43.1667257Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:39:43.2014880Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:39:43.4953339Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:39:43.5043413Z Submodule path 'third_party/pocketfft': 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2025-09-07T07:39:47.3569377Z [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" 2025-09-07T07:39:47.3810250Z Entering 'android/libs/fbjni' 2025-09-07T07:39:47.3845845Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:39:47.3857926Z Entering 'third_party/FP16' 2025-09-07T07:39:47.3898341Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:39:47.3911413Z Entering 'third_party/FXdiv' 2025-09-07T07:39:47.3950645Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:39:47.3964116Z Entering 'third_party/NNPACK' 2025-09-07T07:39:47.4005826Z 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Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:47.6604639Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:47.6618996Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:47.6662508Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:39:47.6676348Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:47.6714196Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:39:47.6725992Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:47.6763676Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:47.6775667Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:47.6815517Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:39:47.6827234Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:47.6866544Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:39:47.6879062Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:47.6917968Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:39:47.6931453Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:47.6971452Z 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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 2025-09-07T07:39:47.7139112Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:47.7181048Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:39:47.7207654Z Entering 'third_party/pocketfft' 2025-09-07T07:39:47.7247048Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:39:47.7262880Z Entering 'third_party/protobuf' 2025-09-07T07:39:47.7299291Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:39:47.7312615Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:47.7350503Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:39:47.7363869Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:47.7403497Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:47.7417461Z Entering 'third_party/psimd' 2025-09-07T07:39:47.7459378Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:39:47.7471363Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:47.7510411Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:39:47.7523796Z Entering 'third_party/pybind11' 2025-09-07T07:39:47.7563936Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:47.7575550Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:47.7612582Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:39:47.7625695Z Entering 'third_party/sleef' 2025-09-07T07:39:47.7667254Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:39:47.7679656Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:47.7718749Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:39:47.7731009Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:47.7771185Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:47.7782545Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:47.7821385Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:39:47.7832703Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:47.7870542Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:39:47.7882468Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:47.7922526Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:47.7935737Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:47.7977031Z 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 2025-09-07T07:39:48.1183136Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:39:48.1425208Z Entering 'android/libs/fbjni' 2025-09-07T07:39:48.1454239Z Entering 'third_party/FP16' 2025-09-07T07:39:48.1485269Z Entering 'third_party/FXdiv' 2025-09-07T07:39:48.1519121Z Entering 'third_party/NNPACK' 2025-09-07T07:39:48.1552589Z Entering 'third_party/NVTX' 2025-09-07T07:39:48.1585797Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:48.1614968Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:48.1654504Z Entering 'third_party/aiter' 2025-09-07T07:39:48.1686503Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:48.1724965Z Entering 'third_party/benchmark' 2025-09-07T07:39:48.1759723Z Entering 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2025-09-07T07:39:48.3456009Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:48.3491413Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:48.3525962Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:48.3574826Z Entering 'third_party/pocketfft' 2025-09-07T07:39:48.3607374Z Entering 'third_party/protobuf' 2025-09-07T07:39:48.3640263Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:48.3672849Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:48.3705220Z Entering 'third_party/psimd' 2025-09-07T07:39:48.3739759Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:48.3773674Z Entering 'third_party/pybind11' 2025-09-07T07:39:48.3807716Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:48.3842012Z Entering 'third_party/sleef' 2025-09-07T07:39:48.3876071Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:48.3908825Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:48.3941163Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:48.3971841Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:48.4006641Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:48.4038652Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:48.4089750Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:39:48.4338993Z Entering 'android/libs/fbjni' 2025-09-07T07:39:48.4368253Z Entering 'third_party/FP16' 2025-09-07T07:39:48.4400134Z Entering 'third_party/FXdiv' 2025-09-07T07:39:48.4433499Z Entering 'third_party/NNPACK' 2025-09-07T07:39:48.4466807Z Entering 'third_party/NVTX' 2025-09-07T07:39:48.4501069Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:48.4534672Z Entering 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2025-09-07T07:39:48.5064972Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:48.5096554Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:48.5133207Z Entering 'third_party/flash-attention' 2025-09-07T07:39:48.5166874Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:48.5199205Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:48.5237644Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:48.5274426Z Entering 'third_party/fmt' 2025-09-07T07:39:48.5306780Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:48.5340592Z Entering 'third_party/gloo' 2025-09-07T07:39:48.5374343Z Entering 'third_party/googletest' 2025-09-07T07:39:48.5406677Z Entering 'third_party/ideep' 2025-09-07T07:39:48.5439451Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:48.5476295Z Entering 'third_party/ittapi' 2025-09-07T07:39:48.5506662Z Entering 'third_party/kineto' 2025-09-07T07:39:48.5541818Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:48.6276894Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:48.6310068Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:48.6340614Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:48.6372764Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:48.6405750Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:48.6439162Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:48.6486118Z Entering 'third_party/pocketfft' 2025-09-07T07:39:48.6514866Z Entering 'third_party/protobuf' 2025-09-07T07:39:48.6550007Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:48.6581985Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:48.6613886Z Entering 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"${GITHUB_WORKSPACE}" 2025-09-07T07:39:48.7101114Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:48.7101335Z # Clean stale submodule dirs 2025-09-07T07:39:48.7101545Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:39:48.7101786Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:48.7102022Z else 2025-09-07T07:39:48.7102224Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:48.7102450Z fi 2025-09-07T07:39:48.7110836Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:48.7111078Z env: 2025-09-07T07:39:48.7111236Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:48.7111412Z NO_SUDO: true 2025-09-07T07:39:48.7111566Z ##[endgroup] 2025-09-07T07:39:48.7377311Z Entering 'android/libs/fbjni' 2025-09-07T07:39:48.7401936Z Entering 'third_party/FP16' 2025-09-07T07:39:48.7423801Z Entering 'third_party/FXdiv' 2025-09-07T07:39:48.7448886Z Entering 'third_party/NNPACK' 2025-09-07T07:39:48.7475729Z Entering 'third_party/NVTX' 2025-09-07T07:39:48.7505767Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:48.7533961Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:48.7621836Z Entering 'third_party/aiter' 2025-09-07T07:39:48.7654497Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:48.7729598Z Entering 'third_party/benchmark' 2025-09-07T07:39:48.7756581Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:48.7843081Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:48.7868656Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:48.7895327Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:48.7920281Z Entering 'third_party/cutlass' 2025-09-07T07:39:48.7988817Z Entering 'third_party/fbgemm' 2025-09-07T07:39:48.8033282Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:48.8056390Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:48.8128050Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:48.8154323Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:48.8221809Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:48.8247576Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:48.8271674Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:48.8307245Z Entering 'third_party/flash-attention' 2025-09-07T07:39:48.8338255Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:48.8402786Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:48.8468621Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:48.8517944Z Entering 'third_party/fmt' 2025-09-07T07:39:48.8543747Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:48.8570348Z Entering 'third_party/gloo' 2025-09-07T07:39:48.8596034Z Entering 'third_party/googletest' 2025-09-07T07:39:48.8623233Z Entering 'third_party/ideep' 2025-09-07T07:39:48.8647852Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:48.8706619Z Entering 'third_party/ittapi' 2025-09-07T07:39:48.8733243Z Entering 'third_party/kineto' 2025-09-07T07:39:48.8760319Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:48.8784959Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:48.8816829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:48.8840295Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:48.8866331Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:48.8888807Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:48.8913047Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:48.8939707Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:48.8966747Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:48.8992399Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:48.9017806Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:48.9044180Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:48.9072830Z Entering 'third_party/kleidiai' 2025-09-07T07:39:48.9103198Z Entering 'third_party/mimalloc' 2025-09-07T07:39:48.9130644Z Entering 'third_party/nlohmann' 2025-09-07T07:39:48.9166201Z Entering 'third_party/onnx' 2025-09-07T07:39:48.9372209Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:48.9398764Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:48.9439967Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:48.9463813Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:48.9490152Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:48.9514551Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:48.9546917Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:48.9569990Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:48.9590537Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:48.9613219Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:48.9648056Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:48.9675484Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:48.9843288Z Entering 'third_party/pocketfft' 2025-09-07T07:39:48.9868931Z Entering 'third_party/protobuf' 2025-09-07T07:39:48.9922183Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:48.9945792Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:48.9972517Z Entering 'third_party/psimd' 2025-09-07T07:39:48.9992944Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:49.0016927Z Entering 'third_party/pybind11' 2025-09-07T07:39:49.0044942Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:49.0068265Z Entering 'third_party/sleef' 2025-09-07T07:39:49.0094051Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:49.0119399Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:49.0143483Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:49.0167885Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:49.0194770Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:49.0217820Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:49.0333742Z Prepare all required actions 2025-09-07T07:39:49.0334181Z Getting action download info 2025-09-07T07:39:49.1509874Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:39:49.1510084Z env: 2025-09-07T07:39:49.1510246Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.1510415Z ##[endgroup] 2025-09-07T07:39:49.1536532Z ##[group]Run set -euo pipefail 2025-09-07T07:39:49.1536780Z set -euo pipefail 2025-09-07T07:39:49.1537103Z function get_ec2_metadata() { 2025-09-07T07:39:49.1537343Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:39:49.1537730Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:39:49.1538066Z  category=$1 2025-09-07T07:39:49.1538308Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:39:49.1538573Z  runner_name_str=i-0d2173bc2520f8d04 2025-09-07T07:39:49.1538835Z  if [[ -f /.inarc ]]; then 2025-09-07T07:39:49.1539059Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:39:49.1539295Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:39:49.1539575Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:39:49.1539827Z  else 2025-09-07T07:39:49.1540330Z  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}" 2025-09-07T07:39:49.1540835Z  fi 2025-09-07T07:39:49.1540982Z } 2025-09-07T07:39:49.1541166Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:39:49.1541430Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:39:49.1541715Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:39:49.1541957Z echo "system info $(uname -a)" 2025-09-07T07:39:49.1546944Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:49.1547173Z env: 2025-09-07T07:39:49.1547328Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.1547490Z ##[endgroup] 2025-09-07T07:39:49.1658637Z ami-id: ami-05ffe3c48a9991133 2025-09-07T07:39:49.1735909Z instance-id: i-0d2173bc2520f8d04 2025-09-07T07:39:49.1812584Z instance-type: c7i.metal-24xl 2025-09-07T07:39:49.1820219Z system info Linux ip-10-0-60-169.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:39:49.1835080Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:49.1835644Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:49.1840294Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:49.1840559Z env: 2025-09-07T07:39:49.1840714Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.1840897Z ##[endgroup] 2025-09-07T07:39:49.2100017Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:39:49.2100312Z if systemctl is-active --quiet docker; then 2025-09-07T07:39:49.2100576Z  echo "Docker daemon is running..."; 2025-09-07T07:39:49.2100796Z else 2025-09-07T07:39:49.2101028Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:39:49.2101310Z fi 2025-09-07T07:39:49.2104873Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:49.2105103Z env: 2025-09-07T07:39:49.2105275Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.2105454Z ##[endgroup] 2025-09-07T07:39:49.2164129Z Docker daemon is running... 2025-09-07T07:39:49.2186767Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:39:49.2186974Z with: 2025-09-07T07:39:49.2187112Z shell: bash 2025-09-07T07:39:49.2187365Z timeout_minutes: 5 2025-09-07T07:39:49.2187523Z max_attempts: 3 2025-09-07T07:39:49.2187681Z retry_wait_seconds: 30 2025-09-07T07:39:49.2188901Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:39:49.2190140Z polling_interval_seconds: 1 2025-09-07T07:39:49.2190320Z warning_on_retry: true 2025-09-07T07:39:49.2190484Z continue_on_error: false 2025-09-07T07:39:49.2190641Z env: 2025-09-07T07:39:49.2190787Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.2190958Z AWS_RETRY_MODE: standard 2025-09-07T07:39:49.2191122Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:39:49.2191284Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:39:49.2191461Z ##[endgroup] 2025-09-07T07:39:50.0247744Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:50.0248107Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:50.0248456Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:50.0248694Z 2025-09-07T07:39:50.0248768Z Login Succeeded 2025-09-07T07:39:50.2825086Z Command completed after 1 attempt(s). 2025-09-07T07:39:50.2865649Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:50.2865974Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:50.2866246Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:50.2871612Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:50.2871834Z env: 2025-09-07T07:39:50.2871988Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.2872162Z ##[endgroup] 2025-09-07T07:39:50.2927371Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:50.2927715Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:50.2927973Z # shellcheck disable=SC2046 2025-09-07T07:39:50.2928198Z docker stop $(docker ps -q) || true 2025-09-07T07:39:50.2928403Z # Prune all of the docker images 2025-09-07T07:39:50.2928610Z docker system prune -af 2025-09-07T07:39:50.2932578Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:50.2932804Z env: 2025-09-07T07:39:50.2932946Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.2933115Z ##[endgroup] 2025-09-07T07:39:50.3386268Z "docker stop" requires at least 1 argument. 2025-09-07T07:39:50.3386627Z See 'docker stop --help'. 2025-09-07T07:39:50.3386797Z 2025-09-07T07:39:50.3386998Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:39:50.3389956Z 2025-09-07T07:39:50.3390172Z Stop one or more running containers 2025-09-07T07:39:50.3581759Z Total reclaimed space: 0B 2025-09-07T07:39:50.3605184Z ##[group]Run set +e 2025-09-07T07:39:50.3605375Z set +e 2025-09-07T07:39:50.3605536Z set -x 2025-09-07T07:39:50.3605693Z  2025-09-07T07:39:50.3605866Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:50.3606232Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:39:50.3606671Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:39:50.3606983Z # one is returned at random 2025-09-07T07:39:50.3607243Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:39:50.3607470Z  2025-09-07T07:39:50.3607730Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:50.3608005Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:39:50.3608321Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:39:50.3608560Z  2025-09-07T07:39:50.3608718Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:50.3608966Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:39:50.3609277Z  exit 1 2025-09-07T07:39:50.3609440Z  fi 2025-09-07T07:39:50.3609582Z fi 2025-09-07T07:39:50.3609731Z  2025-09-07T07:39:50.3609908Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:39:50.3610141Z  # Clean up any old records first 2025-09-07T07:39:50.3610389Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:39:50.3610602Z fi 2025-09-07T07:39:50.3610749Z  2025-09-07T07:39:50.3610962Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:39:50.3611199Z cat /etc/hosts 2025-09-07T07:39:50.3615448Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:50.3615690Z env: 2025-09-07T07:39:50.3615847Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.3616026Z ##[endgroup] 2025-09-07T07:39:50.3633856Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:50.3639421Z ++ tail -n1 2025-09-07T07:39:50.3639728Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:39:50.4016397Z + RESOLVED_IP=18.160.10.22 2025-09-07T07:39:50.4016638Z + '[' -z 18.160.10.22 ']' 2025-09-07T07:39:50.4016858Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:39:50.4028354Z + echo '18.160.10.22 download.pytorch.org' 2025-09-07T07:39:50.4029049Z + sudo tee -a /etc/hosts 2025-09-07T07:39:50.6571011Z 18.160.10.22 download.pytorch.org 2025-09-07T07:39:50.6581164Z + cat /etc/hosts 2025-09-07T07:39:50.6587016Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:39:50.6590759Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:39:50.6590999Z 18.160.10.22 download.pytorch.org 2025-09-07T07:39:50.6687213Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:39:50.6687533Z with: 2025-09-07T07:39:50.6688082Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:50.6688675Z use-custom-docker-registry: true 2025-09-07T07:39:50.6688912Z docker-build-dir: .ci/docker 2025-09-07T07:39:50.6689101Z docker-build-script: ./build.sh 2025-09-07T07:39:50.6689295Z working-directory: . 2025-09-07T07:39:50.6689525Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:50.6689768Z force-push: false 2025-09-07T07:39:50.6689915Z env: 2025-09-07T07:39:50.6690066Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.6690237Z ##[endgroup] 2025-09-07T07:39:50.6701970Z ##[group]Run set -ex 2025-09-07T07:39:50.6702177Z set -ex 2025-09-07T07:39:50.6702332Z  2025-09-07T07:39:50.6702631Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:39:50.6703014Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:39:50.6703343Z # job could then download the pre-built image as usual 2025-09-07T07:39:50.6703741Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:39:50.6704124Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6704332Z else 2025-09-07T07:39:50.6704507Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6704772Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6705020Z  2025-09-07T07:39:50.6705350Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:39:50.6705706Z  exit 0 2025-09-07T07:39:50.6705848Z fi 2025-09-07T07:39:50.6705988Z  2025-09-07T07:39:50.6706204Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:39:50.6706551Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:39:50.6706959Z  # use it as it is, but first let's extract the tag 2025-09-07T07:39:50.6707240Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:39:50.6707541Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6707829Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6708066Z else 2025-09-07T07:39:50.6708242Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:39:50.6708475Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:39:50.6708719Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:39:50.6708926Z  fi 2025-09-07T07:39:50.6709203Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:39:50.6709552Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6709918Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6710312Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6710563Z fi 2025-09-07T07:39:50.6715684Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:50.6715912Z env: 2025-09-07T07:39:50.6716071Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.6716259Z REPO_NAME: pytorch 2025-09-07T07:39:50.6716851Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:50.6717378Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:50.6717563Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:39:50.6717810Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:50.6718057Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:39:50.6718257Z CUSTOM_TAG_PREFIX: 2025-09-07T07:39:50.6718420Z ##[endgroup] 2025-09-07T07:39:50.6734519Z + [[ -d .ci/docker ]] 2025-09-07T07:39:50.6734720Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:39:50.6734909Z + [[ true == \t\r\u\e ]] 2025-09-07T07:39:50.6735087Z + echo skip=false 2025-09-07T07:39:50.6735767Z + [[ 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* ]] 2025-09-07T07:39:50.6742157Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:50.6742842Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:39:50.6761419Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:50.6762021Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:50.6762862Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:50.6778764Z ##[group]Run set +e 2025-09-07T07:39:50.6778979Z set +e 2025-09-07T07:39:50.6779146Z set -x 2025-09-07T07:39:50.6779294Z  2025-09-07T07:39:50.6779439Z login() { 2025-09-07T07:39:50.6779747Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:50.6780072Z } 2025-09-07T07:39:50.6780213Z  2025-09-07T07:39:50.6780356Z retry () { 2025-09-07T07:39:50.6780542Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:50.6780745Z } 2025-09-07T07:39:50.6780879Z  2025-09-07T07:39:50.6781038Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:50.6781329Z  2025-09-07T07:39:50.6781478Z START_TIME=$(date +%s) 2025-09-07T07:39:50.6781667Z # Wait up to 120 minutes 2025-09-07T07:39:50.6781904Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:39:50.6782201Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:39:50.6782502Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:39:50.6782730Z  exit 0 2025-09-07T07:39:50.6782879Z  fi 2025-09-07T07:39:50.6783033Z  2025-09-07T07:39:50.6783282Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:39:50.6783667Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:39:50.6784039Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:39:50.6784352Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:39:50.6784607Z  # It's a Docker build job, let's build the image 2025-09-07T07:39:50.6784817Z  break 2025-09-07T07:39:50.6784973Z  else 2025-09-07T07:39:50.6785183Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:39:50.6785433Z  sleep 300 2025-09-07T07:39:50.6785595Z  fi 2025-09-07T07:39:50.6785746Z done 2025-09-07T07:39:50.6785884Z  2025-09-07T07:39:50.6786107Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:39:50.6786508Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:39:50.6786816Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:39:50.6787092Z  # if we're on the base branch then use the parent commit 2025-09-07T07:39:50.6787334Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:39:50.6787537Z else 2025-09-07T07:39:50.6787751Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:39:50.6788042Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:39:50.6788254Z fi 2025-09-07T07:39:50.6788402Z  2025-09-07T07:39:50.6788565Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:39:50.6788796Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6788999Z  2025-09-07T07:39:50.6789286Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:39:50.6789604Z  exit 0 2025-09-07T07:39:50.6789756Z fi 2025-09-07T07:39:50.6789892Z  2025-09-07T07:39:50.6790093Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:39:50.6790489Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:39:50.6790827Z  exit 1 2025-09-07T07:39:50.6790978Z fi 2025-09-07T07:39:50.6791113Z  2025-09-07T07:39:50.6791342Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:39:50.6791723Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:39:50.6792062Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:39:50.6792455Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:39:50.6792882Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:39:50.6793146Z fi 2025-09-07T07:39:50.6793292Z  2025-09-07T07:39:50.6793465Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:50.6797092Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:50.6798100Z env: 2025-09-07T07:39:50.6798266Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.6798454Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:50.6798683Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:50.6799253Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:50.6799963Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:50.6800415Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:50.6800661Z DOCKER_PUSH: 2025-09-07T07:39:50.6800822Z ##[endgroup] 2025-09-07T07:39:50.6816903Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:50.6817182Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:50.6820213Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:50.6820889Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.0541509Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:51.0541969Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:51.0542661Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:51.0542929Z 2025-09-07T07:39:51.0543002Z Login Succeeded 2025-09-07T07:39:51.0557117Z ++ date +%s 2025-09-07T07:39:51.0564548Z + START_TIME=1757230791 2025-09-07T07:39:51.0567075Z ++ date +%s 2025-09-07T07:39:51.0595085Z + [[ 1757223591 -lt 1757230791 ]] 2025-09-07T07:39:51.0595684Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.2662417Z { 2025-09-07T07:39:51.2662703Z "schemaVersion": 2, 2025-09-07T07:39:51.2663033Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:39:51.2663373Z "config": { 2025-09-07T07:39:51.2663918Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:39:51.2664218Z "size": 30269, 2025-09-07T07:39:51.2664499Z "digest": "sha256:662d8c9dfc7db2f5d004293de4f2b7647941dee4c916479ef082d17fcdfd9c47" 2025-09-07T07:39:51.2664794Z }, 2025-09-07T07:39:51.2664927Z "layers": [ 2025-09-07T07:39:51.2665070Z { 2025-09-07T07:39:51.2665295Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2665547Z "size": 30448359, 2025-09-07T07:39:51.2665842Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:39:51.2666162Z }, 2025-09-07T07:39:51.2666295Z { 2025-09-07T07:39:51.2666502Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2666750Z "size": 1554, 2025-09-07T07:39:51.2667017Z "digest": "sha256:18a5ee5b0e2e283bf6d7b9c4c312b0448c75eff1c43446c22c5139a3aeec97fe" 2025-09-07T07:39:51.2667317Z }, 2025-09-07T07:39:51.2667450Z { 2025-09-07T07:39:51.2667656Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2667905Z "size": 313297813, 2025-09-07T07:39:51.2668169Z "digest": 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"sha256:7ddca6c4c050460204097ba875dc0fa03eca6265122a18c0b8dc5504152aea53" 2025-09-07T07:39:51.2722732Z }, 2025-09-07T07:39:51.2722857Z { 2025-09-07T07:39:51.2723054Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2723290Z "size": 1012, 2025-09-07T07:39:51.2723553Z "digest": "sha256:a95e1f2f1aadef03514a7cdbdac1fe83d4eebedbb80df9be868a223f27e1c263" 2025-09-07T07:39:51.2723839Z }, 2025-09-07T07:39:51.2723966Z { 2025-09-07T07:39:51.2724157Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2724397Z "size": 724, 2025-09-07T07:39:51.2724638Z "digest": "sha256:da63046995a2e510b7146776371a14bff4b31002cc3ef0322e45a3932fba2031" 2025-09-07T07:39:51.2724909Z }, 2025-09-07T07:39:51.2725031Z { 2025-09-07T07:39:51.2725230Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2725471Z "size": 135, 2025-09-07T07:39:51.2725713Z "digest": "sha256:8085756b0cc0f9588f23a73c27840a5dff48cc18c3a2f0311e4d1ef291855679" 2025-09-07T07:39:51.2725975Z }, 2025-09-07T07:39:51.2726102Z { 2025-09-07T07:39:51.2726306Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2726550Z "size": 32, 2025-09-07T07:39:51.2726793Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.2727107Z }, 2025-09-07T07:39:51.2727234Z { 2025-09-07T07:39:51.2727435Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2727667Z "size": 158, 2025-09-07T07:39:51.2727908Z "digest": "sha256:7e9ff0c6f103b18756f01c60b4d57a951660f17bffb1810b330e3ff703caf216" 2025-09-07T07:39:51.2751052Z }, 2025-09-07T07:39:51.2751200Z { 2025-09-07T07:39:51.2751439Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2751702Z "size": 1369, 2025-09-07T07:39:51.2751982Z "digest": "sha256:a625cbbc05b983aeb4c28702a4a5b65c68191ab1b8d17978f7d98cc17ddf3c52" 2025-09-07T07:39:51.2752284Z }, 2025-09-07T07:39:51.2752416Z { 2025-09-07T07:39:51.2752625Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2752879Z "size": 32, 2025-09-07T07:39:51.2753144Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.2753432Z }, 2025-09-07T07:39:51.2753563Z { 2025-09-07T07:39:51.2753774Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2754027Z "size": 136, 2025-09-07T07:39:51.2754280Z "digest": "sha256:4e28486424310870c8d6815524440f17c6e0afe7572eaa173a811b98b4920bed" 2025-09-07T07:39:51.2754545Z }, 2025-09-07T07:39:51.2754676Z { 2025-09-07T07:39:51.2754885Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2755130Z "size": 380, 2025-09-07T07:39:51.2755384Z "digest": "sha256:5e944f1ed1bef9442f5b1b86225d3958ea8f2f7f4c6aa7b92dc5d0c810c260bc" 2025-09-07T07:39:51.2755665Z }, 2025-09-07T07:39:51.2755915Z { 2025-09-07T07:39:51.2756130Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2756372Z "size": 32, 2025-09-07T07:39:51.2756635Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.2756924Z }, 2025-09-07T07:39:51.2757061Z { 2025-09-07T07:39:51.2757265Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2757519Z "size": 104, 2025-09-07T07:39:51.2757778Z "digest": "sha256:41619248f604c60e038a02bfd462af96ee2996b77be5f59f05e9ac5fe4790e5a" 2025-09-07T07:39:51.2758064Z }, 2025-09-07T07:39:51.2758191Z { 2025-09-07T07:39:51.2758401Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2758655Z "size": 407, 2025-09-07T07:39:51.2758913Z "digest": "sha256:be86f8c4f654b9ae64a20eb7f960e6ce4baa5b46e0a1f5e1312b11492a40bcd4" 2025-09-07T07:39:51.2759190Z }, 2025-09-07T07:39:51.2759320Z { 2025-09-07T07:39:51.2759532Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2759779Z "size": 32, 2025-09-07T07:39:51.2760027Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.2760311Z }, 2025-09-07T07:39:51.2760440Z { 2025-09-07T07:39:51.2760643Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2760886Z "size": 109, 2025-09-07T07:39:51.2761143Z "digest": "sha256:ef1340e22a4bc8cf42e1d40961cb32d183cd3da8f0b785b5425c32ee067690c1" 2025-09-07T07:39:51.2761425Z }, 2025-09-07T07:39:51.2761554Z { 2025-09-07T07:39:51.2761748Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2762009Z "size": 1897, 2025-09-07T07:39:51.2762259Z "digest": "sha256:da8d8b696333cbf6b9f339ab859639c905d6752d7e65fea14c23c3c2dcba553e" 2025-09-07T07:39:51.2762532Z }, 2025-09-07T07:39:51.2762650Z { 2025-09-07T07:39:51.2762853Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2763099Z "size": 243443118, 2025-09-07T07:39:51.2763361Z "digest": "sha256:386b0c49c4982a821fb6f427fbc7d9c7d2012e97c96a514a9c7a09304e76b935" 2025-09-07T07:39:51.2763635Z }, 2025-09-07T07:39:51.2763752Z { 2025-09-07T07:39:51.2763952Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2764273Z "size": 106, 2025-09-07T07:39:51.2764520Z "digest": "sha256:2b1d0ea7efe0bf86e86df804d2cddbf83b113fdecd03f3ddfca728da30546f34" 2025-09-07T07:39:51.2764800Z }, 2025-09-07T07:39:51.2764928Z { 2025-09-07T07:39:51.2765131Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2765368Z "size": 163, 2025-09-07T07:39:51.2765621Z "digest": "sha256:04c04be7408f20625b1bd8454e5a08c91fcf04d4f79ab3ec1b75ae6b1824174d" 2025-09-07T07:39:51.2765900Z }, 2025-09-07T07:39:51.2766031Z { 2025-09-07T07:39:51.2766222Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2766467Z "size": 7943, 2025-09-07T07:39:51.2766727Z "digest": "sha256:f8690caa3ac5e845f2dcc25ad12815b5c7452285c3838a87c780bd03ecf072a3" 2025-09-07T07:39:51.2767001Z }, 2025-09-07T07:39:51.2767121Z { 2025-09-07T07:39:51.2767324Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2767573Z "size": 8074, 2025-09-07T07:39:51.2767828Z "digest": "sha256:2908d6baaa6b21331dee5f210472cae0874d22b98b0a35420cad4fd753ed215f" 2025-09-07T07:39:51.2768100Z }, 2025-09-07T07:39:51.2768220Z { 2025-09-07T07:39:51.2768417Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2768659Z "size": 303, 2025-09-07T07:39:51.2768901Z "digest": "sha256:37e2336101eba2c73995d34431e4fae8782d9e9700c42621777922490b2158ed" 2025-09-07T07:39:51.2769157Z }, 2025-09-07T07:39:51.2769283Z { 2025-09-07T07:39:51.2769479Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2769720Z "size": 32, 2025-09-07T07:39:51.2770002Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.2770278Z }, 2025-09-07T07:39:51.2770404Z { 2025-09-07T07:39:51.2770604Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2770842Z "size": 108, 2025-09-07T07:39:51.2771081Z "digest": "sha256:f1ac881fde33994861be4324231269058643168b9aee60c699552d0d92d965da" 2025-09-07T07:39:51.2771351Z }, 2025-09-07T07:39:51.2771477Z { 2025-09-07T07:39:51.2771666Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2771905Z "size": 54145699, 2025-09-07T07:39:51.2772160Z "digest": "sha256:43b14c67347e2813c5f63e928c14db60dbb35c330ccc865510cf79739d8b78a1" 2025-09-07T07:39:51.2772426Z }, 2025-09-07T07:39:51.2772544Z { 2025-09-07T07:39:51.2772744Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.2772982Z "size": 32, 2025-09-07T07:39:51.2773227Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.2773494Z } 2025-09-07T07:39:51.2773622Z ] 2025-09-07T07:39:51.2773751Z } 2025-09-07T07:39:51.2792807Z ##[group]Run set -eux 2025-09-07T07:39:51.2793002Z set -eux 2025-09-07T07:39:51.2793262Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:39:51.2793917Z 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 2025-09-07T07:39:51.2798398Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:51.2798625Z env: 2025-09-07T07:39:51.2798774Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:51.2798943Z ##[endgroup] 2025-09-07T07:39:51.2820915Z + jq --raw-output .SecretString 2025-09-07T07:39:51.2821234Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:39:51.2822242Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:39:51.2823087Z + jq -r .docker_hub_readonly_token 2025-09-07T07:39:51.6854121Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:51.6854442Z Login Succeeded 2025-09-07T07:39:51.6854774Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:51.6855362Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:51.6855584Z 2025-09-07T07:39:51.6909690Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:51.6909937Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:51.6910181Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:39:51.6914354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:51.6914590Z env: 2025-09-07T07:39:51.6914748Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:51.6915273Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.6915789Z ##[endgroup] 2025-09-07T07:39:51.6934867Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.6965146Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:39:51.6965414Z with: 2025-09-07T07:39:51.6965898Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.6966463Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.6966708Z env: 2025-09-07T07:39:51.6966862Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:51.6967028Z ##[endgroup] 2025-09-07T07:39:51.6999440Z ##[group]Run set -x 2025-09-07T07:39:51.6999620Z set -x 2025-09-07T07:39:51.6999768Z set +e 2025-09-07T07:39:51.6999913Z  2025-09-07T07:39:51.7000048Z login() { 2025-09-07T07:39:51.7000341Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:51.7000638Z } 2025-09-07T07:39:51.7000777Z  2025-09-07T07:39:51.7000945Z retry () { 2025-09-07T07:39:51.7001124Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:51.7001308Z } 2025-09-07T07:39:51.7001439Z  2025-09-07T07:39:51.7001591Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:51.7001778Z  2025-09-07T07:39:51.7002050Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:39:51.7002424Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:39:51.7002643Z  2025-09-07T07:39:51.7002782Z set -e 2025-09-07T07:39:51.7002983Z # ignore output since only exit code is used for conditional 2025-09-07T07:39:51.7003267Z # only pull docker image if it's not available locally 2025-09-07T07:39:51.7003574Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:39:51.7003994Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:39:51.7004192Z fi 2025-09-07T07:39:51.7008081Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:51.7008310Z env: 2025-09-07T07:39:51.7008460Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:51.7008958Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.7009508Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.7009733Z ##[endgroup] 2025-09-07T07:39:51.7025372Z + set +e 2025-09-07T07:39:51.7025598Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.7025874Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.7029375Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:51.7029770Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:52.0659791Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:52.0660394Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:52.0660759Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:52.0660991Z 2025-09-07T07:39:52.0661212Z Login Succeeded 2025-09-07T07:39:52.0674943Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:39:52.0676170Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.2723054Z + IMAGE_SIZE=28579.020259857178 2025-09-07T07:39:52.2723325Z Compressed size of image in MB: 28579.020259857178 2025-09-07T07:39:52.2723717Z + echo 'Compressed size of image in MB: 28579.020259857178' 2025-09-07T07:39:52.2723990Z + set -e 2025-09-07T07:39:52.2724794Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.2819153Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.2820008Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.4849640Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:39:52.4850971Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:39:52.4851219Z 18a5ee5b0e2e: Pulling fs layer 2025-09-07T07:39:52.4851401Z 572424b92528: Pulling fs layer 2025-09-07T07:39:52.4851572Z 1c35b7d4b67c: Pulling fs layer 2025-09-07T07:39:52.4851745Z 68c20f3c23bb: Pulling fs layer 2025-09-07T07:39:52.4851914Z 7efa39950d32: Pulling fs layer 2025-09-07T07:39:52.4852096Z a10eb16a7271: Pulling fs layer 2025-09-07T07:39:52.4852273Z 7d52cf579654: Pulling fs layer 2025-09-07T07:39:52.4852446Z cb6a20fcf4e2: Pulling fs layer 2025-09-07T07:39:52.4852616Z 46fb6a8b3e1d: Pulling fs layer 2025-09-07T07:39:52.4852825Z 5ad6977cc38e: Pulling fs layer 2025-09-07T07:39:52.4852993Z da63046995a2: Pulling fs layer 2025-09-07T07:39:52.4853152Z 78243fdb9906: Pulling fs layer 2025-09-07T07:39:52.4853319Z 6f70d5d50aba: Pulling fs layer 2025-09-07T07:39:52.4853489Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:39:52.4853659Z 69715d3ad3c4: Pulling fs layer 2025-09-07T07:39:52.4853823Z 7ace90c063f3: Pulling fs layer 2025-09-07T07:39:52.4853993Z acbd5447dd14: Pulling fs layer 2025-09-07T07:39:52.4854162Z 744523d9b7f5: Pulling fs layer 2025-09-07T07:39:52.4854335Z 5bd615a7b945: Pulling fs layer 2025-09-07T07:39:52.4854500Z f4986a00e3ae: Pulling fs layer 2025-09-07T07:39:52.4854672Z 21902f6e4f8c: Pulling fs layer 2025-09-07T07:39:52.4854841Z d80602abf3cc: Pulling fs layer 2025-09-07T07:39:52.4855014Z 3c51bf0bc362: Pulling fs layer 2025-09-07T07:39:52.4855184Z 119ab3bceafa: Pulling fs layer 2025-09-07T07:39:52.4855356Z af8eadc9eaab: Pulling fs layer 2025-09-07T07:39:52.4855526Z e7769b0d7a82: Pulling fs layer 2025-09-07T07:39:52.4855695Z ba263639b0f4: Pulling fs layer 2025-09-07T07:39:52.4855858Z a5ab7a280382: Pulling fs layer 2025-09-07T07:39:52.4856024Z 80b2232d952f: Pulling fs layer 2025-09-07T07:39:52.4856192Z cc93cd65e90f: Pulling fs layer 2025-09-07T07:39:52.4856361Z 0eed4c15712b: Pulling fs layer 2025-09-07T07:39:52.4856521Z 092516f71fe3: Pulling fs layer 2025-09-07T07:39:52.4856689Z 8c0825014a62: Pulling fs layer 2025-09-07T07:39:52.4856856Z 8e0d2f63da0a: Pulling fs layer 2025-09-07T07:39:52.4857016Z 73aae7958ba1: Pulling fs layer 2025-09-07T07:39:52.4857187Z ac6077ec9fa5: Pulling fs layer 2025-09-07T07:39:52.4857355Z bf4ee4e45e92: Pulling fs layer 2025-09-07T07:39:52.4857524Z c1b766f9b961: Pulling fs layer 2025-09-07T07:39:52.4857682Z 6e726ef07b5d: Pulling fs layer 2025-09-07T07:39:52.4857850Z 1c35b7d4b67c: Waiting 2025-09-07T07:39:52.4858013Z 364070434a64: Pulling fs layer 2025-09-07T07:39:52.4858392Z 71f708151a84: Pulling fs layer 2025-09-07T07:39:52.4858548Z 68c20f3c23bb: Waiting 2025-09-07T07:39:52.4858713Z 622d8cfb39ea: Pulling fs layer 2025-09-07T07:39:52.4858885Z 3c51bf0bc362: Waiting 2025-09-07T07:39:52.4859045Z 284119a92cb1: Pulling fs layer 2025-09-07T07:39:52.4859205Z 7efa39950d32: Waiting 2025-09-07T07:39:52.4859364Z 96695940d842: Pulling fs layer 2025-09-07T07:39:52.4859530Z a10eb16a7271: Waiting 2025-09-07T07:39:52.4859686Z af8eadc9eaab: Waiting 2025-09-07T07:39:52.4859842Z 7ddca6c4c050: Pulling fs layer 2025-09-07T07:39:52.4860020Z a95e1f2f1aad: Pulling fs layer 2025-09-07T07:39:52.4860190Z e7769b0d7a82: Waiting 2025-09-07T07:39:52.4860340Z 7d52cf579654: Waiting 2025-09-07T07:39:52.4860488Z 8085756b0cc0: Pulling fs layer 2025-09-07T07:39:52.4860652Z 5bd615a7b945: Waiting 2025-09-07T07:39:52.4860803Z cb6a20fcf4e2: Waiting 2025-09-07T07:39:52.4860951Z f4986a00e3ae: Waiting 2025-09-07T07:39:52.4861173Z 119ab3bceafa: Waiting 2025-09-07T07:39:52.4861342Z 7e9ff0c6f103: Pulling fs layer 2025-09-07T07:39:52.4861512Z 21902f6e4f8c: Waiting 2025-09-07T07:39:52.4861671Z a625cbbc05b9: Pulling fs layer 2025-09-07T07:39:52.4861832Z 46fb6a8b3e1d: Waiting 2025-09-07T07:39:52.4861986Z d80602abf3cc: Waiting 2025-09-07T07:39:52.4862136Z 4f4fb700ef54: Waiting 2025-09-07T07:39:52.4862293Z 78243fdb9906: Waiting 2025-09-07T07:39:52.4862439Z 5ad6977cc38e: Waiting 2025-09-07T07:39:52.4862593Z 6f70d5d50aba: Waiting 2025-09-07T07:39:52.4862748Z 69715d3ad3c4: Waiting 2025-09-07T07:39:52.4862901Z acbd5447dd14: Waiting 2025-09-07T07:39:52.4863044Z da63046995a2: Waiting 2025-09-07T07:39:52.4863191Z 7ace90c063f3: Waiting 2025-09-07T07:39:52.4863342Z 744523d9b7f5: Waiting 2025-09-07T07:39:52.4863498Z 4e2848642431: Pulling fs layer 2025-09-07T07:39:52.4863660Z 7ddca6c4c050: Waiting 2025-09-07T07:39:52.4863814Z ba263639b0f4: Waiting 2025-09-07T07:39:52.4863971Z 5e944f1ed1be: Pulling fs layer 2025-09-07T07:39:52.4864136Z 7e9ff0c6f103: Waiting 2025-09-07T07:39:52.4864292Z a95e1f2f1aad: Waiting 2025-09-07T07:39:52.4864453Z a5ab7a280382: Waiting 2025-09-07T07:39:52.4864604Z 364070434a64: Waiting 2025-09-07T07:39:52.4864752Z 41619248f604: Pulling fs layer 2025-09-07T07:39:52.4864927Z a625cbbc05b9: Waiting 2025-09-07T07:39:52.4865089Z be86f8c4f654: Pulling fs layer 2025-09-07T07:39:52.4865262Z 80b2232d952f: Waiting 2025-09-07T07:39:52.4865407Z 71f708151a84: Waiting 2025-09-07T07:39:52.4865558Z 8085756b0cc0: Waiting 2025-09-07T07:39:52.4865720Z ef1340e22a4b: Pulling fs layer 2025-09-07T07:39:52.4865900Z da8d8b696333: Pulling fs layer 2025-09-07T07:39:52.4866057Z 96695940d842: Waiting 2025-09-07T07:39:52.4866210Z 622d8cfb39ea: Waiting 2025-09-07T07:39:52.4866361Z 284119a92cb1: Waiting 2025-09-07T07:39:52.4866521Z 386b0c49c498: Pulling fs layer 2025-09-07T07:39:52.4866689Z 2b1d0ea7efe0: Pulling fs layer 2025-09-07T07:39:52.4866856Z 4e2848642431: Waiting 2025-09-07T07:39:52.4867006Z be86f8c4f654: Waiting 2025-09-07T07:39:52.4867160Z cc93cd65e90f: Waiting 2025-09-07T07:39:52.4867312Z 04c04be7408f: Pulling fs layer 2025-09-07T07:39:52.4867494Z f8690caa3ac5: Pulling fs layer 2025-09-07T07:39:52.4867668Z 2908d6baaa6b: Pulling fs layer 2025-09-07T07:39:52.4867840Z 0eed4c15712b: Waiting 2025-09-07T07:39:52.4867983Z 5e944f1ed1be: Waiting 2025-09-07T07:39:52.4868143Z 37e2336101eb: Pulling fs layer 2025-09-07T07:39:52.4868311Z 41619248f604: Waiting 2025-09-07T07:39:52.4868458Z 092516f71fe3: Waiting 2025-09-07T07:39:52.4868601Z 6e726ef07b5d: Waiting 2025-09-07T07:39:52.4868754Z ac6077ec9fa5: Waiting 2025-09-07T07:39:52.4868909Z c1b766f9b961: Waiting 2025-09-07T07:39:52.4869061Z bf4ee4e45e92: Waiting 2025-09-07T07:39:52.4869205Z 8c0825014a62: Waiting 2025-09-07T07:39:52.4869361Z f1ac881fde33: Pulling fs layer 2025-09-07T07:39:52.4869530Z 73aae7958ba1: Waiting 2025-09-07T07:39:52.4869685Z ef1340e22a4b: Waiting 2025-09-07T07:39:52.4869830Z 8e0d2f63da0a: Waiting 2025-09-07T07:39:52.4869990Z 43b14c67347e: Pulling fs layer 2025-09-07T07:39:52.4870163Z 04c04be7408f: Waiting 2025-09-07T07:39:52.4870306Z da8d8b696333: Waiting 2025-09-07T07:39:52.4870501Z f8690caa3ac5: Waiting 2025-09-07T07:39:52.4870658Z 2b1d0ea7efe0: Waiting 2025-09-07T07:39:52.4870811Z 2908d6baaa6b: Waiting 2025-09-07T07:39:52.4870953Z 386b0c49c498: Waiting 2025-09-07T07:39:52.4871103Z 37e2336101eb: Waiting 2025-09-07T07:39:52.4871254Z 43b14c67347e: Waiting 2025-09-07T07:39:52.4871409Z f1ac881fde33: Waiting 2025-09-07T07:39:52.5828040Z 18a5ee5b0e2e: Verifying Checksum 2025-09-07T07:39:52.5828381Z 18a5ee5b0e2e: Download complete 2025-09-07T07:39:52.6502256Z 1c35b7d4b67c: Verifying Checksum 2025-09-07T07:39:52.6502502Z 1c35b7d4b67c: Download complete 2025-09-07T07:39:52.7271749Z 68c20f3c23bb: Verifying Checksum 2025-09-07T07:39:52.7272066Z 68c20f3c23bb: Download complete 2025-09-07T07:39:52.8023864Z 7efa39950d32: Download complete 2025-09-07T07:39:52.8473459Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:39:52.8473699Z e6fdc8487bfe: Download complete 2025-09-07T07:39:52.8735780Z a10eb16a7271: Verifying Checksum 2025-09-07T07:39:52.8736240Z a10eb16a7271: Download complete 2025-09-07T07:39:52.9303563Z 7d52cf579654: Verifying Checksum 2025-09-07T07:39:52.9305866Z 7d52cf579654: Download complete 2025-09-07T07:39:53.0030712Z 46fb6a8b3e1d: Verifying Checksum 2025-09-07T07:39:53.0031119Z 46fb6a8b3e1d: Download complete 2025-09-07T07:39:53.0901522Z 5ad6977cc38e: Verifying Checksum 2025-09-07T07:39:53.0901770Z 5ad6977cc38e: Download complete 2025-09-07T07:39:53.1867006Z da63046995a2: Verifying Checksum 2025-09-07T07:39:53.1867255Z da63046995a2: Download complete 2025-09-07T07:39:53.2625426Z 78243fdb9906: Verifying Checksum 2025-09-07T07:39:53.2625769Z 78243fdb9906: Download complete 2025-09-07T07:39:53.4847344Z e6fdc8487bfe: Pull complete 2025-09-07T07:39:53.5052671Z 18a5ee5b0e2e: Pull complete 2025-09-07T07:39:54.0226063Z cb6a20fcf4e2: Verifying Checksum 2025-09-07T07:39:54.0334156Z cb6a20fcf4e2: Download complete 2025-09-07T07:39:54.0334358Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:39:54.0334610Z 4f4fb700ef54: Download complete 2025-09-07T07:39:54.1037021Z 69715d3ad3c4: Download complete 2025-09-07T07:39:54.1663570Z 7ace90c063f3: Verifying Checksum 2025-09-07T07:39:54.1663912Z 7ace90c063f3: Download complete 2025-09-07T07:39:54.2497151Z acbd5447dd14: Download complete 2025-09-07T07:39:54.3661455Z 744523d9b7f5: Verifying Checksum 2025-09-07T07:39:54.3661787Z 744523d9b7f5: Download complete 2025-09-07T07:39:54.4551681Z 5bd615a7b945: Download complete 2025-09-07T07:39:54.5396369Z f4986a00e3ae: Verifying Checksum 2025-09-07T07:39:54.5396714Z f4986a00e3ae: Download complete 2025-09-07T07:39:54.5977087Z 21902f6e4f8c: Download complete 2025-09-07T07:39:54.6690535Z d80602abf3cc: Download complete 2025-09-07T07:39:54.7574626Z 3c51bf0bc362: Verifying Checksum 2025-09-07T07:39:54.7574869Z 3c51bf0bc362: Download complete 2025-09-07T07:39:54.8139194Z 119ab3bceafa: Verifying Checksum 2025-09-07T07:39:54.8139543Z 119ab3bceafa: Download complete 2025-09-07T07:39:54.9095722Z af8eadc9eaab: Download complete 2025-09-07T07:39:54.9788049Z e7769b0d7a82: Verifying Checksum 2025-09-07T07:39:54.9788406Z e7769b0d7a82: Download complete 2025-09-07T07:39:55.6806277Z 572424b92528: Verifying Checksum 2025-09-07T07:39:55.6806526Z 572424b92528: Download complete 2025-09-07T07:39:55.7814341Z a5ab7a280382: Verifying Checksum 2025-09-07T07:39:55.7814591Z a5ab7a280382: Download complete 2025-09-07T07:39:55.8618712Z 80b2232d952f: Download complete 2025-09-07T07:39:55.9239940Z cc93cd65e90f: Verifying Checksum 2025-09-07T07:39:55.9240192Z cc93cd65e90f: Download complete 2025-09-07T07:39:56.0055184Z 0eed4c15712b: Verifying Checksum 2025-09-07T07:39:56.0056257Z 0eed4c15712b: Download complete 2025-09-07T07:39:56.2317347Z 092516f71fe3: Verifying Checksum 2025-09-07T07:39:56.2317692Z 092516f71fe3: Download complete 2025-09-07T07:39:56.2959380Z 8c0825014a62: Verifying Checksum 2025-09-07T07:39:56.2959718Z 8c0825014a62: Download complete 2025-09-07T07:39:56.3535357Z 8e0d2f63da0a: Verifying Checksum 2025-09-07T07:39:56.3535734Z 8e0d2f63da0a: Download complete 2025-09-07T07:39:56.4686502Z 73aae7958ba1: Verifying Checksum 2025-09-07T07:39:56.4687057Z 73aae7958ba1: Download complete 2025-09-07T07:39:56.5325678Z ac6077ec9fa5: Download complete 2025-09-07T07:39:56.6194346Z bf4ee4e45e92: Verifying Checksum 2025-09-07T07:39:56.6194731Z bf4ee4e45e92: Download complete 2025-09-07T07:39:59.5787188Z ba263639b0f4: Verifying Checksum 2025-09-07T07:39:59.5787541Z ba263639b0f4: Download complete 2025-09-07T07:39:59.6597300Z 6e726ef07b5d: Download complete 2025-09-07T07:40:01.6317022Z 572424b92528: Pull complete 2025-09-07T07:40:01.9787679Z 1c35b7d4b67c: Pull complete 2025-09-07T07:40:02.4219760Z 68c20f3c23bb: Pull complete 2025-09-07T07:40:02.4629956Z 364070434a64: Verifying Checksum 2025-09-07T07:40:02.4630290Z 364070434a64: Download complete 2025-09-07T07:40:02.7610852Z 7efa39950d32: Pull complete 2025-09-07T07:40:03.2085289Z a10eb16a7271: Pull complete 2025-09-07T07:40:03.6646265Z 7d52cf579654: Pull complete 2025-09-07T07:40:05.6087652Z cb6a20fcf4e2: Pull complete 2025-09-07T07:40:05.8463582Z 46fb6a8b3e1d: Pull complete 2025-09-07T07:40:06.1549864Z 5ad6977cc38e: Pull complete 2025-09-07T07:40:06.4920727Z da63046995a2: Pull complete 2025-09-07T07:40:06.7619490Z 78243fdb9906: Pull complete 2025-09-07T07:40:27.2716980Z 6f70d5d50aba: Verifying Checksum 2025-09-07T07:40:27.2717269Z 6f70d5d50aba: Download complete 2025-09-07T07:40:27.3364772Z 622d8cfb39ea: Verifying Checksum 2025-09-07T07:40:27.3365109Z 622d8cfb39ea: Download complete 2025-09-07T07:40:27.4105957Z 284119a92cb1: Verifying Checksum 2025-09-07T07:40:27.4106286Z 284119a92cb1: Download complete 2025-09-07T07:40:27.4946373Z 96695940d842: Download complete 2025-09-07T07:40:27.5827355Z 7ddca6c4c050: Verifying Checksum 2025-09-07T07:40:27.5827647Z 7ddca6c4c050: Download complete 2025-09-07T07:40:27.6499144Z a95e1f2f1aad: Verifying Checksum 2025-09-07T07:40:27.6499452Z a95e1f2f1aad: Download complete 2025-09-07T07:40:27.7360209Z 8085756b0cc0: Download complete 2025-09-07T07:40:27.8082666Z 7e9ff0c6f103: Verifying Checksum 2025-09-07T07:40:27.8083028Z 7e9ff0c6f103: Download complete 2025-09-07T07:40:27.8960834Z a625cbbc05b9: Download complete 2025-09-07T07:40:27.9855780Z 4e2848642431: Verifying Checksum 2025-09-07T07:40:28.0707807Z 5e944f1ed1be: Download complete 2025-09-07T07:40:28.1573585Z 41619248f604: Verifying Checksum 2025-09-07T07:40:28.1573916Z 41619248f604: Download complete 2025-09-07T07:40:28.2327410Z be86f8c4f654: Verifying Checksum 2025-09-07T07:40:28.2327654Z be86f8c4f654: Download complete 2025-09-07T07:40:28.3182534Z ef1340e22a4b: Verifying Checksum 2025-09-07T07:40:28.3182790Z ef1340e22a4b: Download complete 2025-09-07T07:40:28.3796685Z da8d8b696333: Verifying Checksum 2025-09-07T07:40:28.3796946Z da8d8b696333: Download complete 2025-09-07T07:40:30.8628940Z 386b0c49c498: Verifying Checksum 2025-09-07T07:40:30.8629216Z 386b0c49c498: Download complete 2025-09-07T07:40:30.9455255Z 2b1d0ea7efe0: Download complete 2025-09-07T07:40:31.0329588Z 04c04be7408f: Download complete 2025-09-07T07:40:31.0976910Z f8690caa3ac5: Verifying Checksum 2025-09-07T07:40:31.0977228Z f8690caa3ac5: Download complete 2025-09-07T07:40:31.1586286Z 2908d6baaa6b: Verifying Checksum 2025-09-07T07:40:31.1586583Z 2908d6baaa6b: Download complete 2025-09-07T07:40:31.2379864Z 37e2336101eb: Verifying Checksum 2025-09-07T07:40:31.2380145Z 37e2336101eb: Download complete 2025-09-07T07:40:31.3200914Z f1ac881fde33: Verifying Checksum 2025-09-07T07:40:31.3201257Z f1ac881fde33: Download complete 2025-09-07T07:40:31.8964360Z 43b14c67347e: Verifying Checksum 2025-09-07T07:40:31.8964629Z 43b14c67347e: Download complete 2025-09-07T07:41:04.0914600Z 6f70d5d50aba: Pull complete 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37e2336101eb: Pull complete 2025-09-07T07:46:30.6697322Z f1ac881fde33: Pull complete 2025-09-07T07:46:32.0850254Z 43b14c67347e: Pull complete 2025-09-07T07:46:32.6139897Z Digest: sha256:383efb45082f20b8c808cb0ba4df693a01359592233f641f1f486911ac320a9a 2025-09-07T07:46:32.6900886Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:32.7352053Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:32.7402767Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:32.7403325Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:32.7411123Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:32.7411351Z env: 2025-09-07T07:46:32.7411510Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:32.7411691Z ##[endgroup] 2025-09-07T07:46:32.7476414Z Prepare all required actions 2025-09-07T07:46:32.7524179Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:46:32.7524395Z with: 2025-09-07T07:46:32.7524906Z github-token: *** 2025-09-07T07:46:32.7525052Z env: 2025-09-07T07:46:32.7525198Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:32.7525369Z ##[endgroup] 2025-09-07T07:46:32.7702479Z ##[group]Run set -eux 2025-09-07T07:46:32.7702660Z set -eux 2025-09-07T07:46:32.7702933Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:46:32.7706856Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:32.7707082Z env: 2025-09-07T07:46:32.7707231Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:32.7707532Z GITHUB_TOKEN: *** 2025-09-07T07:46:32.7707688Z ##[endgroup] 2025-09-07T07:46:32.7724900Z + python3 .github/scripts/get_workflow_job_id.py 17525285611 i-0d2173bc2520f8d04 2025-09-07T07:46:33.4021933Z Setting output job-id=49775585772 2025-09-07T07:46:33.4022468Z Setting output job-name=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:46:33.4117321Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:33.4117750Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:33.4118299Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:46:33.4118781Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:33.4122351Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:33.4122576Z env: 2025-09-07T07:46:33.4122727Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.4122896Z JOB_ID: 49775585772 2025-09-07T07:46:33.4123197Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:46:33.4123539Z WORKFLOW_NAME: inductor-perf-nightly-x86 2025-09-07T07:46:33.4123779Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T07:46:33.4123951Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:46:33.4124125Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:46:33.4124305Z ##[endgroup] 2025-09-07T07:46:33.9721034Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:34.2624543Z Collecting psutil==5.9.8 2025-09-07T07:46:34.2738236Z 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) 2025-09-07T07:46:34.3871597Z Collecting dataclasses_json==0.6.7 2025-09-07T07:46:34.3894176Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:46:34.4322451Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:46:34.4351127Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:46:34.5646513Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:46:34.5675933Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:46:34.7067887Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:46:34.7089503Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:46:34.8707548Z Collecting packaging>=17.0 2025-09-07T07:46:34.8731212Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:46:35.0068212Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:46:35.0101248Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:46:35.1429139Z Collecting typing-extensions>=3.7.4 2025-09-07T07:46:35.1456053Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:46:35.3657128Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T07:46:35.9674020Z 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 2025-09-07T07:46:36.1947765Z Prepare all required actions 2025-09-07T07:46:36.1948011Z Getting action download info 2025-09-07T07:46:36.3848566Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:46:36.8982557Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:46:37.2649501Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:46:37.2649732Z with: 2025-09-07T07:46:37.2649898Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:37.2650092Z s3-bucket: gha-artifacts 2025-09-07T07:46:37.2650259Z env: 2025-09-07T07:46:37.2650402Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:37.2650566Z ##[endgroup] 2025-09-07T07:46:37.2709621Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:37.2709836Z with: 2025-09-07T07:46:37.2710004Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:37.2710209Z s3-bucket: gha-artifacts 2025-09-07T07:46:37.2710427Z region: us-east-1 2025-09-07T07:46:37.2710569Z env: 2025-09-07T07:46:37.2710712Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:37.2710876Z ##[endgroup] 2025-09-07T07:46:37.8433924Z (node:57384) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:37.8434348Z 2025-09-07T07:46:37.8434553Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:37.8434893Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:37.8435233Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:38.8313261Z Found 1 objects with prefix pytorch/pytorch/17525285611/linux-jammy-py3.9-gcc11-build/ 2025-09-07T07:46:38.8313810Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:43.4397637Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:43.4400878Z Artifact download has finished successfully 2025-09-07T07:46:43.4610084Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:46:43.4610324Z unzip -o artifacts.zip 2025-09-07T07:46:43.4615016Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:43.4615246Z env: 2025-09-07T07:46:43.4615395Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:43.4615585Z ##[endgroup] 2025-09-07T07:46:43.5003572Z Archive: artifacts.zip 2025-09-07T07:46:43.5003897Z creating: dist/ 2025-09-07T07:46:44.5112751Z inflating: dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:44.5113046Z creating: dist/vision/ 2025-09-07T07:46:44.5182949Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:44.5183252Z creating: dist/audio/ 2025-09-07T07:46:44.5210541Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:44.5210819Z creating: dist/ao/ 2025-09-07T07:46:44.5246121Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:46:44.5354147Z inflating: dist/.ninja_log 2025-09-07T07:46:44.5354508Z creating: build/custom_test_artifacts/ 2025-09-07T07:46:44.5354802Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T07:46:44.5355521Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T07:46:44.5355945Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T07:46:44.5356366Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T07:46:44.5356748Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 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build/bin/c10_bit_cast_test 2025-09-07T07:46:48.9209713Z inflating: build/bin/c10_complex_math_test 2025-09-07T07:46:48.9262170Z inflating: build/bin/c10_complex_test 2025-09-07T07:46:48.9309461Z inflating: build/bin/c10_error_test 2025-09-07T07:46:48.9359236Z inflating: build/bin/c10_exception_test 2025-09-07T07:46:48.9407299Z inflating: build/bin/c10_flags_test 2025-09-07T07:46:48.9455257Z inflating: build/bin/c10_generic_math_test 2025-09-07T07:46:48.9503615Z inflating: build/bin/c10_irange_test 2025-09-07T07:46:48.9648943Z inflating: build/bin/c10_intrusive_ptr_test 2025-09-07T07:46:48.9702461Z inflating: build/bin/c10_lazy_test 2025-09-07T07:46:48.9754415Z inflating: build/bin/c10_logging_test 2025-09-07T07:46:48.9823557Z inflating: build/bin/c10_optional_test 2025-09-07T07:46:48.9881690Z inflating: build/bin/c10_ordered_preserving_dict_test 2025-09-07T07:46:48.9932358Z inflating: build/bin/c10_registry_test 2025-09-07T07:46:49.0072139Z inflating: build/bin/c10_small_vector_test 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2025-09-07T07:46:49.2428491Z inflating: build/bin/NamedTensor_test 2025-09-07T07:46:49.2483913Z inflating: build/bin/apply_utils_test 2025-09-07T07:46:49.2539281Z inflating: build/bin/atest 2025-09-07T07:46:49.2599384Z inflating: build/bin/basic 2025-09-07T07:46:49.2651559Z inflating: build/bin/broadcast_test 2025-09-07T07:46:49.2700048Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:46:49.2754874Z inflating: build/bin/cpu_generator_test 2025-09-07T07:46:49.2805329Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:46:49.2889911Z inflating: build/bin/cpu_rng_test 2025-09-07T07:46:49.2938305Z inflating: build/bin/dlconvertor_test 2025-09-07T07:46:49.2992518Z inflating: build/bin/extension_backend_test 2025-09-07T07:46:49.3044930Z inflating: build/bin/half_test 2025-09-07T07:46:49.3133402Z inflating: build/bin/ivalue_test 2025-09-07T07:46:49.3180896Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:46:49.3231775Z inflating: build/bin/math_kernel_test 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build/bin/kernel_function_legacy_test 2025-09-07T07:46:49.5002474Z inflating: build/bin/kernel_function_test 2025-09-07T07:46:49.5115814Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:46:49.5207924Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:46:49.5265052Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:46:49.5351837Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:46:49.5400150Z inflating: build/bin/CppSignature_test 2025-09-07T07:46:49.5452578Z inflating: build/bin/backend_fallback_test 2025-09-07T07:46:49.5724031Z inflating: build/bin/op_registration_test 2025-09-07T07:46:49.5770237Z inflating: build/bin/op_allowlist_test 2025-09-07T07:46:49.5832787Z inflating: build/bin/inline_container_test 2025-09-07T07:46:49.6797953Z inflating: build/bin/test_jit 2025-09-07T07:46:49.6846547Z inflating: build/bin/FileStoreTest 2025-09-07T07:46:49.6896317Z inflating: build/bin/BackoffTest 2025-09-07T07:46:49.6950022Z inflating: build/bin/TCPStoreTest 2025-09-07T07:46:49.7283421Z inflating: build/bin/test_nativert 2025-09-07T07:46:49.7332575Z inflating: build/bin/HashStoreTest 2025-09-07T07:46:49.7334633Z inflating: build/bin/example_allreduce 2025-09-07T07:46:49.7396646Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:46:49.7448648Z inflating: build/bin/test_dist_autograd 2025-09-07T07:46:49.7511920Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:46:49.8502122Z inflating: build/bin/test_api 2025-09-07T07:46:49.8502510Z inflating: build/bin/parallel_benchmark 2025-09-07T07:46:49.8802232Z inflating: build/bin/test_lazy 2025-09-07T07:46:49.8804071Z inflating: build/bin/torch_shm_manager 2025-09-07T07:46:49.8804288Z creating: .additional_ci_files/ 2025-09-07T07:46:49.8880611Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:46:49.9172585Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:46:49.9221349Z ##[group]Run rm artifacts.zip 2025-09-07T07:46:49.9221560Z rm artifacts.zip 2025-09-07T07:46:49.9226020Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:49.9226248Z env: 2025-09-07T07:46:49.9226391Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:49.9226563Z ##[endgroup] 2025-09-07T07:46:49.9573353Z ##[group]Run df -H 2025-09-07T07:46:49.9573516Z df -H 2025-09-07T07:46:49.9576976Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:49.9577201Z env: 2025-09-07T07:46:49.9577365Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:49.9577529Z ##[endgroup] 2025-09-07T07:46:49.9610050Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:46:49.9610332Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:46:49.9610557Z tmpfs 102G 0 102G 0% /dev/shm 2025-09-07T07:46:49.9610776Z tmpfs 41G 11M 41G 1% /run 2025-09-07T07:46:49.9610993Z /dev/nvme0n1p1 215G 72G 144G 34% / 2025-09-07T07:46:49.9611204Z tmpfs 102G 13k 102G 1% /tmp 2025-09-07T07:46:49.9611494Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T07:46:49.9631845Z Prepare all required actions 2025-09-07T07:46:49.9632526Z Getting action download info 2025-09-07T07:46:50.1103625Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:46:50.1103845Z with: 2025-09-07T07:46:50.1103988Z env: 2025-09-07T07:46:50.1104140Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.1104314Z ##[endgroup] 2025-09-07T07:46:50.1161633Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:50.1161847Z with: 2025-09-07T07:46:50.1161981Z name: td_results 2025-09-07T07:46:50.1162144Z s3-bucket: gha-artifacts 2025-09-07T07:46:50.1162316Z region: us-east-1 2025-09-07T07:46:50.1162467Z env: 2025-09-07T07:46:50.1162603Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.1162771Z ##[endgroup] 2025-09-07T07:46:50.4427174Z (node:57407) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:50.4427459Z 2025-09-07T07:46:50.4427645Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:50.4427985Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:50.4428310Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:50.5287358Z Found 0 objects with prefix pytorch/pytorch/17525285611/td_results/ 2025-09-07T07:46:50.5289511Z Artifact download has finished successfully 2025-09-07T07:46:50.7362326Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:46:50.7362566Z mkdir -p .additional_ci_files 2025-09-07T07:46:50.7362828Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:46:50.7367837Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:50.7368070Z env: 2025-09-07T07:46:50.7368221Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.7368407Z ##[endgroup] 2025-09-07T07:46:50.7409098Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:46:50.7530576Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:46:50.7530808Z .github/scripts/parse_ref.py 2025-09-07T07:46:50.7534768Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:50.7534949Z env: 2025-09-07T07:46:50.7535096Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.7535264Z ##[endgroup] 2025-09-07T07:46:50.8273800Z Setting output branch=main 2025-09-07T07:46:50.8350986Z Prepare all required actions 2025-09-07T07:46:50.8351252Z Getting action download info 2025-09-07T07:46:50.9833218Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:46:50.9833429Z with: 2025-09-07T07:46:50.9833739Z github-token: *** 2025-09-07T07:46:50.9835825Z 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"}]} 2025-09-07T07:46:50.9838184Z job-name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:46:50.9838505Z env: 2025-09-07T07:46:50.9838648Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.9838809Z ##[endgroup] 2025-09-07T07:46:50.9924460Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:46:50.9924655Z with: 2025-09-07T07:46:50.9924804Z shell: bash 2025-09-07T07:46:50.9924958Z timeout_minutes: 10 2025-09-07T07:46:50.9925120Z max_attempts: 5 2025-09-07T07:46:50.9925279Z retry_wait_seconds: 30 2025-09-07T07:46:50.9925711Z 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 2025-09-07T07:46:50.9926154Z polling_interval_seconds: 1 2025-09-07T07:46:50.9926332Z warning_on_retry: true 2025-09-07T07:46:50.9926586Z continue_on_error: false 2025-09-07T07:46:50.9926750Z env: 2025-09-07T07:46:50.9926881Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.9927182Z GITHUB_TOKEN: *** 2025-09-07T07:46:50.9927339Z ##[endgroup] 2025-09-07T07:46:51.1325993Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:46:51.2934343Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:51.3891377Z Collecting requests==2.27.1 2025-09-07T07:46:51.4005460Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:46:51.5816012Z Collecting pyyaml==6.0.2 2025-09-07T07:46:51.5839806Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T07:46:51.7641684Z Collecting certifi>=2017.4.17 2025-09-07T07:46:51.7663587Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:46:51.8228029Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:46:51.8231265Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:46:52.1119722Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:46:52.1141306Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:46:52.2373502Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:46:52.8091217Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:46:53.0471932Z Command completed after 1 attempt(s). 2025-09-07T07:46:53.0558059Z ##[group]Run set -x 2025-09-07T07:46:53.0558253Z set -x 2025-09-07T07:46:53.0558412Z  2025-09-07T07:46:53.0558656Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:53.0558955Z # in runner workspace 2025-09-07T07:46:53.0559210Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:46:53.0564146Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.0564384Z env: 2025-09-07T07:46:53.0564529Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.0564707Z ##[endgroup] 2025-09-07T07:46:53.0582731Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:46:53.0713078Z Setting output branch=main 2025-09-07T07:46:53.0768975Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:53.0769266Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:53.0769478Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:46:53.0769672Z  2025-09-07T07:46:53.0769916Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:53.0770216Z # in runner workspace 2025-09-07T07:46:53.0770475Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:46:53.0770769Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:46:53.0770977Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:46:53.0773137Z  --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"}]}" \ 2025-09-07T07:46:53.0775610Z  --selected-test-configs "" \ 2025-09-07T07:46:53.0775822Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:46:53.0776024Z  --tag "${TAG}" \ 2025-09-07T07:46:53.0776220Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:46:53.0776428Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:46:53.0776632Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:46:53.0780650Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.0780897Z env: 2025-09-07T07:46:53.0781051Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.0781427Z GITHUB_TOKEN: *** 2025-09-07T07:46:53.0781746Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:46:53.0782087Z PR_NUMBER: 2025-09-07T07:46:53.0782246Z TAG: 2025-09-07T07:46:53.0782393Z EVENT_NAME: schedule 2025-09-07T07:46:53.0782554Z SCHEDULE: 0 7 * * * 2025-09-07T07:46:53.0782719Z HEAD_BRANCH: main 2025-09-07T07:46:53.0782884Z ##[endgroup] 2025-09-07T07:46:53.0797617Z Workflow: inductor-perf-nightly-x86 2025-09-07T07:46:53.0797980Z Job name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:46:53.2190569Z Setting output keep-going=True 2025-09-07T07:46:53.2190825Z Setting output ci-verbose-test-logs=False 2025-09-07T07:46:53.2191063Z Setting output ci-test-showlocals=False 2025-09-07T07:46:53.2191276Z Setting output ci-no-test-timeout=False 2025-09-07T07:46:53.2191477Z Setting output ci-no-td=False 2025-09-07T07:46:53.2191685Z Setting output ci-td-distributed=False 2025-09-07T07:46:53.2191896Z Setting output is-unstable=False 2025-09-07T07:46:53.2192095Z Setting output reenabled-issues= 2025-09-07T07:46:53.2194327Z 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"}]} 2025-09-07T07:46:53.2196706Z Setting output is-test-matrix-empty=False 2025-09-07T07:46:53.2306182Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:46:53.2306413Z echo "Filtered matrix:" 2025-09-07T07:46:53.2308562Z 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"}]}" 2025-09-07T07:46:53.2310960Z  2025-09-07T07:46:53.2311108Z echo 2025-09-07T07:46:53.2311290Z echo "Is the current job unstable? False" 2025-09-07T07:46:53.2311504Z  2025-09-07T07:46:53.2311651Z echo 2025-09-07T07:46:53.2311831Z echo "Is keep-going label set? True" 2025-09-07T07:46:53.2312030Z  2025-09-07T07:46:53.2312180Z echo 2025-09-07T07:46:53.2312407Z echo "Reenabled issues? " 2025-09-07T07:46:53.2316132Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.2316360Z env: 2025-09-07T07:46:53.2316506Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.2316685Z ##[endgroup] 2025-09-07T07:46:53.2332240Z Filtered matrix: 2025-09-07T07:46:53.2334738Z {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}]} 2025-09-07T07:46:53.2337004Z 2025-09-07T07:46:53.2337088Z Is the current job unstable? False 2025-09-07T07:46:53.2337228Z 2025-09-07T07:46:53.2337307Z Is keep-going label set? True 2025-09-07T07:46:53.2337436Z 2025-09-07T07:46:53.2337505Z Reenabled issues? 2025-09-07T07:46:53.3122069Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:53.3122393Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:53.3125922Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.3126152Z env: 2025-09-07T07:46:53.3126305Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.3126476Z JOB_TIMEOUT: 720 2025-09-07T07:46:53.3126624Z ##[endgroup] 2025-09-07T07:46:53.3338326Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:53.3338650Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:53.3338920Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:53.3342390Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.3342617Z env: 2025-09-07T07:46:53.3342766Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.3342933Z ##[endgroup] 2025-09-07T07:46:53.3493782Z ##[group]Run set -x 2025-09-07T07:46:53.3494024Z set -x 2025-09-07T07:46:53.3494171Z  2025-09-07T07:46:53.3494348Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:46:53.3494599Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:46:53.3494849Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:46:53.3495064Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:46:53.3495252Z else 2025-09-07T07:46:53.3495420Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:53.3495606Z fi 2025-09-07T07:46:53.3495737Z  2025-09-07T07:46:53.3495927Z # Leaving 1GB for the runner and other things 2025-09-07T07:46:53.3496261Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:46:53.3496772Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:46:53.3497169Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:46:53.3497471Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:46:53.3497713Z  2025-09-07T07:46:53.3497892Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:53.3498102Z  SHM_OPTS= 2025-09-07T07:46:53.3498260Z  JENKINS_USER= 2025-09-07T07:46:53.3498482Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:46:53.3498757Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:46:53.3498993Z  # when job is cancelled 2025-09-07T07:46:53.3499192Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:46:53.3499379Z else 2025-09-07T07:46:53.3499551Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:46:53.3499762Z  JENKINS_USER="--user jenkins" 2025-09-07T07:46:53.3499960Z  DOCKER_SHELL_CMD= 2025-09-07T07:46:53.3500120Z fi 2025-09-07T07:46:53.3500256Z  2025-09-07T07:46:53.3500463Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:46:53.3500776Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:46:53.3501109Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:46:53.3501411Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:46:53.3501616Z container_name=$(docker run \ 2025-09-07T07:46:53.3501806Z  ${GPU_FLAG:-} \ 2025-09-07T07:46:53.3501998Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:46:53.3502200Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:46:53.3502390Z  -e PR_NUMBER \ 2025-09-07T07:46:53.3502563Z  -e GITHUB_ACTIONS \ 2025-09-07T07:46:53.3502742Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:46:53.3502923Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:46:53.3503102Z  -e GITHUB_JOB \ 2025-09-07T07:46:53.3503271Z  -e GITHUB_RUN_ID \ 2025-09-07T07:46:53.3503447Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:46:53.3503624Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:46:53.3503810Z  -e JOB_ID \ 2025-09-07T07:46:53.3503976Z  -e JOB_NAME \ 2025-09-07T07:46:53.3504141Z  -e BASE_SHA \ 2025-09-07T07:46:53.3504295Z  -e BRANCH \ 2025-09-07T07:46:53.3504452Z  -e SHA1 \ 2025-09-07T07:46:53.3504617Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:46:53.3504799Z  -e IN_WHEEL_TEST \ 2025-09-07T07:46:53.3504966Z  -e SHARD_NUMBER \ 2025-09-07T07:46:53.3505139Z  -e TEST_CONFIG \ 2025-09-07T07:46:53.3505403Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:46:53.3505590Z  -e REENABLED_ISSUES \ 2025-09-07T07:46:53.3505777Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:46:53.3506035Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:46:53.3506224Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:46:53.3506402Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:46:53.3506569Z  -e NO_TD \ 2025-09-07T07:46:53.3506739Z  -e TD_DISTRIBUTED \ 2025-09-07T07:46:53.3506919Z  -e PR_LABELS \ 2025-09-07T07:46:53.3507115Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:46:53.3507312Z  -e SCCACHE_BUCKET \ 2025-09-07T07:46:53.3507492Z  -e SCCACHE_REGION \ 2025-09-07T07:46:53.3507664Z  -e XLA_CUDA \ 2025-09-07T07:46:53.3507854Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:46:53.3508078Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:46:53.3508304Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:46:53.3508533Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:46:53.3508746Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:46:53.3508951Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:46:53.3509154Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:46:53.3509350Z  -e DASHBOARD_TAG \ 2025-09-07T07:46:53.3509531Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:46:53.3509750Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:46:53.3509992Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:46:53.3510242Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:46:53.3510477Z  --security-opt seccomp=unconfined \ 2025-09-07T07:46:53.3510683Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:46:53.3510865Z  --ipc=host \ 2025-09-07T07:46:53.3511024Z  ${SHM_OPTS} \ 2025-09-07T07:46:53.3511184Z  --tty \ 2025-09-07T07:46:53.3511341Z  --detach \ 2025-09-07T07:46:53.3511512Z  --name="${container_name}" \ 2025-09-07T07:46:53.3511697Z  ${JENKINS_USER} \ 2025-09-07T07:46:53.3511911Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:46:53.3512151Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:46:53.3512347Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:46:53.3512514Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:46:53.3512679Z ) 2025-09-07T07:46:53.3512869Z # Propagate download.pytorch.org IP to container 2025-09-07T07:46:53.3513246Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:46:53.3513644Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:46:53.3513875Z  2025-09-07T07:46:53.3514048Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:53.3514377Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:46:53.3514677Z fi 2025-09-07T07:46:53.3514809Z  2025-09-07T07:46:53.3515097Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:46:53.3518917Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:53.3519096Z env: 2025-09-07T07:46:53.3519239Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.3519462Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:53.3519681Z PR_NUMBER: 2025-09-07T07:46:53.3519845Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:46:53.3520059Z GITHUB_WORKFLOW: inductor-perf-nightly-x86 2025-09-07T07:46:53.3520262Z GITHUB_JOB: test 2025-09-07T07:46:53.3520423Z GITHUB_RUN_ID: 17525285611 2025-09-07T07:46:53.3520598Z GITHUB_RUN_NUMBER: 525 2025-09-07T07:46:53.3520762Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:46:53.3520924Z JOB_ID: 49775585772 2025-09-07T07:46:53.3521272Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:46:53.3521592Z BRANCH: main 2025-09-07T07:46:53.3521818Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:53.3522044Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:53.3522268Z TEST_CONFIG: inductor_timm_perf_cpu_x86 2025-09-07T07:46:53.3522464Z SHARD_NUMBER: 1 2025-09-07T07:46:53.3522615Z NUM_TEST_SHARDS: 5 2025-09-07T07:46:53.3522764Z REENABLED_ISSUES: 2025-09-07T07:46:53.3522927Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:46:53.3523103Z VERBOSE_TEST_LOGS: False 2025-09-07T07:46:53.3523272Z TEST_SHOWLOCALS: False 2025-09-07T07:46:53.3523430Z NO_TEST_TIMEOUT: False 2025-09-07T07:46:53.3523591Z NO_TD: False 2025-09-07T07:46:53.3523743Z TD_DISTRIBUTED: False 2025-09-07T07:46:53.3523945Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:46:53.3524159Z SCCACHE_REGION: us-east-1 2025-09-07T07:46:53.3524329Z SHM_SIZE: 1g 2025-09-07T07:46:53.3524804Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:53.3525297Z XLA_CUDA: 2025-09-07T07:46:53.3525519Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:46:53.3525783Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:46:53.3525986Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:46:53.3526428Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:46:53.3526983Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:46:53.3527248Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:46:53.3527498Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:46:53.3527788Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772 2025-09-07T07:46:53.3528081Z ##[endgroup] 2025-09-07T07:46:53.3545281Z + [[ inductor_timm_perf_cpu_x86 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:46:53.3545537Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-09-07T07:46:53.3545751Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:53.3549935Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:46:53.3564757Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 ' 2025-09-07T07:46:53.3564984Z + TOTAL_MEMORY_WITH_SWAP=190 2025-09-07T07:46:53.3565214Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:46:53.3565447Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:46:53.3565631Z + JENKINS_USER='--user jenkins' 2025-09-07T07:46:53.3565816Z + DOCKER_SHELL_CMD= 2025-09-07T07:46:53.3571258Z +++ nproc --ignore=2 2025-09-07T07:46:53.3970944Z ++ 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 2025-09-07T07:49:30.9971458Z + container_name=9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T07:49:30.9974489Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:49:30.9975552Z + docker exec -i 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:49:31.1370937Z + echo DOCKER_CONTAINER_ID=9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T07:49:31.1373794Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:49:31.1375570Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:31.1377235Z + docker exec -t 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:49:31.4382826Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:49:31.6372690Z 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) 2025-09-07T07:49:31.6373962Z 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) 2025-09-07T07:49:31.6374710Z 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) 2025-09-07T07:49:31.6377593Z 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) 2025-09-07T07:49:31.6379891Z 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) 2025-09-07T07:49:31.6382825Z 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) 2025-09-07T07:49:31.6392337Z 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) 2025-09-07T07:49:31.6650573Z 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) 2025-09-07T07:49:31.6662476Z 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) 2025-09-07T07:49:31.6689064Z 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) 2025-09-07T07:49:32.3529217Z Installing collected packages: torch 2025-09-07T07:49:38.7987518Z 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. 2025-09-07T07:49:38.7988130Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:49:38.7988408Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:49:38.7988735Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:49:38.7989162Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:49:38.7989602Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:49:38.7989922Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:49:38.8820276Z + export TERM=vt100 2025-09-07T07:49:38.8820490Z + TERM=vt100 2025-09-07T07:49:38.8820654Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:38.8821924Z + source .ci/pytorch/common.sh 2025-09-07T07:49:38.8825115Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:49:38.8830670Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:49:38.8831370Z +++ declare -f -t trap_add 2025-09-07T07:49:38.8834288Z ++ set -ex -o pipefail 2025-09-07T07:49:38.8834574Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:38.8834790Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:49:38.8839480Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:38.8856833Z + source .ci/pytorch/common-build.sh 2025-09-07T07:49:38.8857786Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-09-07T07:49:38.8863642Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:49:38.8869155Z +++ cd .ci/pytorch 2025-09-07T07:49:38.8869706Z +++ pwd -P 2025-09-07T07:49:38.8871022Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:49:38.8871324Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-09-07T07:49:38.8871546Z ++ which sccache 2025-09-07T07:49:38.8887853Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:49:38.8888084Z ++ sccache --stop-server 2025-09-07T07:49:38.8910978Z ++ true 2025-09-07T07:49:38.8911155Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:49:38.8919566Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:49:38.8919784Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:49:38.8919969Z ++ shift 2025-09-07T07:49:38.8920132Z ++ for trap_add_name in "$@" 2025-09-07T07:49:38.8926771Z ++++ trap -p EXIT 2025-09-07T07:49:38.8928508Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:49:38.8928732Z ++++ extract_trap_cmd 2025-09-07T07:49:38.8928936Z ++++ printf '%s\n' '' 2025-09-07T07:49:38.8929123Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:49:38.8930136Z ++ trap -- ' 2025-09-07T07:49:38.8930319Z sccache_epilogue' EXIT 2025-09-07T07:49:38.8930514Z ++ [[ -n 1 ]] 2025-09-07T07:49:38.8930814Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:49:38.8931184Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:49:38.8931465Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:38.8931662Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:38.8931902Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:38.8932188Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:38.8932463Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:49:38.8932681Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:49:38.8932869Z ++ sccache --zero-stats 2025-09-07T07:49:39.0367606Z Statistics zeroed. 2025-09-07T07:49:39.0373091Z ++ which ccache 2025-09-07T07:49:39.0393585Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-09-07T07:49:39.0393862Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-09-07T07:49:39.0394132Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:49:39.0396054Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:49:39.0405276Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:49:39.0405542Z + trap_add cleanup_workspace EXIT 2025-09-07T07:49:39.0405764Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:49:39.0405969Z + shift 2025-09-07T07:49:39.0406167Z + for trap_add_name in "$@" 2025-09-07T07:49:39.0411462Z +++ trap -p EXIT 2025-09-07T07:49:39.0413416Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:49:39.0413725Z sccache_epilogue'\'' EXIT' 2025-09-07T07:49:39.0413936Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:49:39.0414143Z sccache_epilogue' EXIT 2025-09-07T07:49:39.0414325Z +++ printf '%s\n' ' 2025-09-07T07:49:39.0414509Z sccache_epilogue' 2025-09-07T07:49:39.0414707Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:49:39.0415213Z + trap -- ' 2025-09-07T07:49:39.0415407Z sccache_epilogue 2025-09-07T07:49:39.0415591Z cleanup_workspace' EXIT 2025-09-07T07:49:39.0415823Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:49:39.4574604Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:49:39.4585781Z + echo 'Environment variables:' 2025-09-07T07:49:39.4586033Z Environment variables: 2025-09-07T07:49:39.4586205Z + env 2025-09-07T07:49:39.4591278Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:39.4591885Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:39.4592113Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:49:39.4592671Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:39.4592862Z HOSTNAME=9d93da6a456b 2025-09-07T07:49:39.4593260Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4593621Z GITHUB_ACTION=__run_2 2025-09-07T07:49:39.4593803Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:39.4593991Z GITHUB_RUN_NUMBER=525 2025-09-07T07:49:39.4594159Z TEST_CONFIG=inductor_timm_perf_cpu_x86 2025-09-07T07:49:39.4594371Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:39.4594583Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:39.4594781Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:39.4595058Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:39.4595249Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:39.4595452Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:39.4595650Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:39.4595855Z XLA_CUDA= 2025-09-07T07:49:39.4596004Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:39.4596270Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:39.4602739Z *** 2025-09-07T07:49:39.4602900Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:39.4603091Z GITHUB_ACTIONS=true 2025-09-07T07:49:39.4603289Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:39.4603541Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:39.4603789Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:39.4604179Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:49:39.4604518Z UCC_HOME=/usr 2025-09-07T07:49:39.4604678Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:39.4604853Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:39.4605025Z SHARD_NUMBER=1 2025-09-07T07:49:39.4605178Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:39.4605355Z HOME=/var/lib/jenkins 2025-09-07T07:49:39.4605543Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:39.4605759Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:39.4605941Z UCX_COMMIT= 2025-09-07T07:49:39.4606086Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:39.4606240Z NUM_TEST_SHARDS=5 2025-09-07T07:49:39.4606390Z UCX_HOME=/usr 2025-09-07T07:49:39.4606723Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4607245Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:49:39.4607752Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4608217Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:39.4608512Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:39.4608954Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:49:39.4609408Z GITHUB_RUN_ID=17525285611 2025-09-07T07:49:39.4609583Z INSTALLED_OPENBLAS= 2025-09-07T07:49:39.4609950Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4610339Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:39.4610523Z PR_NUMBER= 2025-09-07T07:49:39.4610669Z DESIRED_CUDA= 2025-09-07T07:49:39.4610823Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:39.4610990Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:39.4611211Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:39.4611431Z TERM=vt100 2025-09-07T07:49:39.4611577Z INSTALLED_VISION=yes 2025-09-07T07:49:39.4611728Z BRANCH=main 2025-09-07T07:49:39.4611886Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:39.4612073Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:39.4612260Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:39.4612570Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:39.4612975Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:39.4613172Z UCC_COMMIT= 2025-09-07T07:49:39.4613366Z REENABLED_ISSUES= 2025-09-07T07:49:39.4613516Z DOCS=yes 2025-09-07T07:49:39.4613680Z SHLVL=1 2025-09-07T07:49:39.4613821Z MAX_JOBS=94 2025-09-07T07:49:39.4613969Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:39.4614190Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:39.4614432Z GITHUB_REF_NAME=main 2025-09-07T07:49:39.4614682Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:39.4614945Z GITHUB_JOB=test 2025-09-07T07:49:39.4615097Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:39.4615266Z TD_DISTRIBUTED=False 2025-09-07T07:49:39.4615447Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:39.4615648Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:39.4615815Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:39.4615996Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:39.4616452Z 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 2025-09-07T07:49:39.4616901Z GITHUB_BASE_REF= 2025-09-07T07:49:39.4617050Z INSTALLED_ACL= 2025-09-07T07:49:39.4617329Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772 2025-09-07T07:49:39.4617628Z CI=true 2025-09-07T07:49:39.4617780Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:39.4618006Z RUST_LOG=sccache::server=error 2025-09-07T07:49:39.4618190Z JOB_ID=49775585772 2025-09-07T07:49:39.4618343Z GITHUB_HEAD_REF= 2025-09-07T07:49:39.4618497Z GITHUB_ACTION_REF= 2025-09-07T07:49:39.4618684Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:39.4618908Z TEST_SHOWLOCALS=False 2025-09-07T07:49:39.4619100Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:49:39.4619315Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:39.4619680Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4620049Z NO_TD=False 2025-09-07T07:49:39.4620210Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:39.4620414Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:39.4620604Z _=/usr/bin/env 2025-09-07T07:49:39.4620827Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:49:39.4839385Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-09-07T07:49:39.4839816Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-09-07T07:49:39.4840200Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-09-07T07:49:39.4840528Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-09-07T07:49:39.4840800Z + BUILD_DIR=build 2025-09-07T07:49:39.4840983Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:49:39.4841186Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:49:39.4841351Z + SHARD_NUMBER=1 2025-09-07T07:49:39.4841525Z + NUM_TEST_SHARDS=5 2025-09-07T07:49:39.4841700Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:39.4841904Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:39.4842096Z + export VALGRIND=ON 2025-09-07T07:49:39.4842256Z + VALGRIND=ON 2025-09-07T07:49:39.4842449Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-09-07T07:49:39.4842685Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:39.4842878Z + detect_cuda_arch 2025-09-07T07:49:39.4843057Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:39.4843287Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-09-07T07:49:39.4843489Z + [[ 0 == \1 ]] 2025-09-07T07:49:39.4843629Z + [[ True == \1 ]] 2025-09-07T07:49:39.4843804Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-09-07T07:49:39.4845000Z ++ realpath build/custom_test_artifacts 2025-09-07T07:49:39.4848966Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:49:39.4849281Z + [[ -n '' ]] 2025-09-07T07:49:39.4849626Z + echo 'Environment variables' 2025-09-07T07:49:39.4849819Z Environment variables 2025-09-07T07:49:39.4849985Z + env 2025-09-07T07:49:39.4886622Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:39.4886889Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:39.4887113Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:49:39.4887507Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:39.4887708Z HOSTNAME=9d93da6a456b 2025-09-07T07:49:39.4888063Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4888429Z GITHUB_ACTION=__run_2 2025-09-07T07:49:39.4888685Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:39.4888888Z GITHUB_RUN_NUMBER=525 2025-09-07T07:49:39.4889079Z TEST_CONFIG=inductor_timm_perf_cpu_x86 2025-09-07T07:49:39.4889301Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:39.4889513Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:39.4889727Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:39.4889986Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:39.4890194Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:39.4890399Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:39.4890607Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:39.4890827Z XLA_CUDA= 2025-09-07T07:49:39.4890999Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:39.4891293Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:39.4891510Z *** 2025-09-07T07:49:39.4891659Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:39.4891845Z GITHUB_ACTIONS=true 2025-09-07T07:49:39.4892048Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:39.4892287Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:39.4892527Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:39.4892918Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:49:39.4893266Z UCC_HOME=/usr 2025-09-07T07:49:39.4893422Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:39.4893604Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:39.4893777Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:39.4893947Z SHARD_NUMBER=1 2025-09-07T07:49:39.4894102Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:39.4894278Z HOME=/var/lib/jenkins 2025-09-07T07:49:39.4894468Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:39.4894681Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:39.4894865Z UCX_COMMIT= 2025-09-07T07:49:39.4895010Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:39.4895167Z NUM_TEST_SHARDS=5 2025-09-07T07:49:39.4895319Z UCX_HOME=/usr 2025-09-07T07:49:39.4895648Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4896172Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T07:49:39.4896672Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4897131Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:39.4897425Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:39.4897862Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:49:39.4898308Z GITHUB_RUN_ID=17525285611 2025-09-07T07:49:39.4898484Z INSTALLED_OPENBLAS= 2025-09-07T07:49:39.4898843Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4899228Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:39.4899410Z PR_NUMBER= 2025-09-07T07:49:39.4899552Z DESIRED_CUDA= 2025-09-07T07:49:39.4899703Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:39.4899857Z VALGRIND=ON 2025-09-07T07:49:39.4900010Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:39.4900224Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:39.4900442Z TERM=vt100 2025-09-07T07:49:39.4900647Z INSTALLED_VISION=yes 2025-09-07T07:49:39.4900809Z BRANCH=main 2025-09-07T07:49:39.4900964Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:39.4901149Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:39.4901368Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:39.4901687Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:39.4902040Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:39.4902239Z UCC_COMMIT= 2025-09-07T07:49:39.4902378Z REENABLED_ISSUES= 2025-09-07T07:49:39.4902533Z DOCS=yes 2025-09-07T07:49:39.4902676Z SHLVL=1 2025-09-07T07:49:39.4902807Z MAX_JOBS=94 2025-09-07T07:49:39.4902959Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:39.4903199Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:39.4903441Z GITHUB_REF_NAME=main 2025-09-07T07:49:39.4903683Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:39.4903948Z GITHUB_JOB=test 2025-09-07T07:49:39.4904110Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:39.4904276Z TD_DISTRIBUTED=False 2025-09-07T07:49:39.4904443Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:39.4904641Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:39.4904823Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:39.4905001Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:39.4905459Z 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 2025-09-07T07:49:39.4905914Z GITHUB_BASE_REF= 2025-09-07T07:49:39.4906072Z INSTALLED_ACL= 2025-09-07T07:49:39.4906354Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772 2025-09-07T07:49:39.4906659Z CI=true 2025-09-07T07:49:39.4906806Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:39.4907022Z RUST_LOG=sccache::server=error 2025-09-07T07:49:39.4907205Z JOB_ID=49775585772 2025-09-07T07:49:39.4907364Z GITHUB_HEAD_REF= 2025-09-07T07:49:39.4907516Z GITHUB_ACTION_REF= 2025-09-07T07:49:39.4907714Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:39.4907939Z TEST_SHOWLOCALS=False 2025-09-07T07:49:39.4908131Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:49:39.4908344Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:39.4908715Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_170409d5-a813-495c-a2e7-5e372ef6f96b 2025-09-07T07:49:39.4909095Z NO_TD=False 2025-09-07T07:49:39.4909256Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:39.4909454Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:39.4909654Z _=/usr/bin/env 2025-09-07T07:49:39.4909817Z + echo 'Testing pytorch' 2025-09-07T07:49:39.4909992Z Testing pytorch 2025-09-07T07:49:39.4910156Z + export LANG=C.UTF-8 2025-09-07T07:49:39.4910325Z + LANG=C.UTF-8 2025-09-07T07:49:39.4910492Z + PR_NUMBER= 2025-09-07T07:49:39.4910677Z + [[ inductor_timm_perf_cpu_x86 == \d\e\f\a\u\l\t ]] 2025-09-07T07:49:39.4910939Z + [[ inductor_timm_perf_cpu_x86 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:49:39.4911193Z + [[ inductor_timm_perf_cpu_x86 == \s\l\o\w ]] 2025-09-07T07:49:39.4911456Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-09-07T07:49:39.4911727Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:39.4911967Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:39.4912208Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:39.4912446Z + [[ inductor_timm_perf_cpu_x86 == *crossref* ]] 2025-09-07T07:49:39.4912686Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:39.4912913Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:39.4913159Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:49:39.4913397Z + pip_install ninja==1.10.2 2025-09-07T07:49:39.4913648Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:49:39.4913970Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:49:39.7865193Z Collecting ninja==1.10.2 2025-09-07T07:49:39.7971405Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T07:49:39.8042085Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T07:49:40.4812965Z Installing collected packages: ninja 2025-09-07T07:49:40.4813276Z Attempting uninstall: ninja 2025-09-07T07:49:40.4813525Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:49:40.4827533Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:49:40.4868023Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:49:40.5242527Z Successfully installed ninja-1.10.2 2025-09-07T07:49:40.5983999Z + 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 2025-09-07T07:49:40.5985189Z + 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 2025-09-07T07:49:40.5985763Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:49:40.5986026Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-09-07T07:49:40.5986272Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-09-07T07:49:40.5986515Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:49:40.5986835Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-09-07T07:49:40.5987226Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-09-07T07:49:40.5987492Z + cd test 2025-09-07T07:49:40.5987709Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:49:40.8773761Z /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. 2025-09-07T07:49:40.8775258Z import pynvml # type: ignore[import] 2025-09-07T07:49:41.6148734Z + [[ inductor_timm_perf_cpu_x86 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:49:41.6149393Z + [[ inductor_timm_perf_cpu_x86 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:49:41.6149740Z + [[ inductor_timm_perf_cpu_x86 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:49:41.6156851Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:49:41.6157227Z + [[ inductor_timm_perf_cpu_x86 == *pr_time_benchmarks* ]] 2025-09-07T07:49:41.6157613Z + [[ inductor_timm_perf_cpu_x86 == *dynamo_eager* ]] 2025-09-07T07:49:41.6157941Z + [[ inductor_timm_perf_cpu_x86 == *aot_eager* ]] 2025-09-07T07:49:41.6158656Z + [[ inductor_timm_perf_cpu_x86 == *aot_inductor* ]] 2025-09-07T07:49:41.6158985Z + [[ inductor_timm_perf_cpu_x86 == *max_autotune_inductor* ]] 2025-09-07T07:49:41.6159252Z + [[ inductor_timm_perf_cpu_x86 == *inductor* ]] 2025-09-07T07:49:41.6159486Z + [[ inductor_timm_perf_cpu_x86 != *perf* ]] 2025-09-07T07:49:41.6159729Z + [[ inductor_timm_perf_cpu_x86 == *dynamic* ]] 2025-09-07T07:49:41.6159954Z + [[ inductor_timm_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:49:41.6160197Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:49:41.6175447Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:49:41.6175702Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-09-07T07:49:41.6176478Z + cd test 2025-09-07T07:49:41.6177170Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:49:41.8982133Z /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. 2025-09-07T07:49:41.8983526Z import pynvml # type: ignore[import] 2025-09-07T07:49:42.4796104Z PyTorch built with: 2025-09-07T07:49:42.4796333Z - GCC 11.4 2025-09-07T07:49:42.4796491Z - C++ Version: 201703 2025-09-07T07:49:42.4797100Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:42.4797624Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:42.4797894Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:42.4798104Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:49:42.4798311Z - NNPACK is enabled 2025-09-07T07:49:42.4798482Z - CPU capability usage: AVX512 2025-09-07T07:49:42.4800967Z - 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, 2025-09-07T07:49:42.4803478Z 2025-09-07T07:49:42.6437826Z + cd test 2025-09-07T07:49:42.6438177Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:49:42.9200009Z /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. 2025-09-07T07:49:42.9201491Z import pynvml # type: ignore[import] 2025-09-07T07:49:43.4945222Z ATen/Parallel: 2025-09-07T07:49:43.4945477Z at::get_num_threads() : 48 2025-09-07T07:49:43.4945686Z at::get_num_interop_threads() : 48 2025-09-07T07:49:43.4945888Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:43.4946069Z omp_get_max_threads() : 48 2025-09-07T07:49:43.4946405Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:43.4946743Z mkl_get_max_threads() : 48 2025-09-07T07:49:43.4946985Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:43.4947242Z std::thread::hardware_concurrency() : 96 2025-09-07T07:49:43.4947440Z Environment variables: 2025-09-07T07:49:43.4947612Z OMP_NUM_THREADS : [not set] 2025-09-07T07:49:43.4947826Z MKL_NUM_THREADS : [not set] 2025-09-07T07:49:43.4947997Z ATen parallel backend: OpenMP 2025-09-07T07:49:43.4948117Z 2025-09-07T07:49:43.6568794Z + [[ inductor_timm_perf_cpu_x86 == *numpy_2* ]] 2025-09-07T07:49:43.6569195Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:49:43.6569483Z + [[ inductor_timm_perf_cpu_x86 == *backward* ]] 2025-09-07T07:49:43.6569738Z + [[ inductor_timm_perf_cpu_x86 == *xla* ]] 2025-09-07T07:49:43.6569966Z + [[ inductor_timm_perf_cpu_x86 == *vllm* ]] 2025-09-07T07:49:43.6570213Z + [[ inductor_timm_perf_cpu_x86 == *executorch* ]] 2025-09-07T07:49:43.6570484Z + [[ inductor_timm_perf_cpu_x86 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:49:43.6570783Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:49:43.6571057Z + [[ inductor_timm_perf_cpu_x86 == distributed ]] 2025-09-07T07:49:43.6571326Z + [[ inductor_timm_perf_cpu_x86 == *operator_benchmark* ]] 2025-09-07T07:49:43.6571632Z + [[ inductor_timm_perf_cpu_x86 == *inductor_distributed* ]] 2025-09-07T07:49:43.6572257Z + [[ inductor_timm_perf_cpu_x86 == *inductor-halide* ]] 2025-09-07T07:49:43.6572556Z + [[ inductor_timm_perf_cpu_x86 == *inductor-triton-cpu* ]] 2025-09-07T07:49:43.6572982Z + [[ inductor_timm_perf_cpu_x86 == *inductor-micro-benchmark* ]] 2025-09-07T07:49:43.6573291Z + [[ inductor_timm_perf_cpu_x86 == *huggingface* ]] 2025-09-07T07:49:43.6573541Z + [[ inductor_timm_perf_cpu_x86 == *timm* ]] 2025-09-07T07:49:43.6573770Z + install_torchvision 2025-09-07T07:49:43.6573951Z + local orig_preload 2025-09-07T07:49:43.6574135Z + local commit 2025-09-07T07:49:43.6574323Z ++ get_pinned_commit vision 2025-09-07T07:49:43.6574543Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:49:43.7169045Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:49:43.7169341Z + orig_preload= 2025-09-07T07:49:43.7169524Z + '[' -n '' ']' 2025-09-07T07:49:43.7169716Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:43.7170215Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:49:43.7170822Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:49:43.7171229Z + local wheel_dir=dist/vision 2025-09-07T07:49:43.7171430Z + local found_whl=0 2025-09-07T07:49:43.7171631Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:43.7171952Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T07:49:43.7172257Z + found_whl=1 2025-09-07T07:49:43.7172410Z + break 2025-09-07T07:49:43.7172560Z + '[' 1 == 0 ']' 2025-09-07T07:49:43.7172741Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:43.7173075Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:43.7173503Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-09-07T07:49:43.7173806Z + local args 2025-09-07T07:49:43.7174082Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T07:49:43.7174416Z + for path in "${args[@]}" 2025-09-07T07:49:43.7174740Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-09-07T07:49:43.7175179Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:43.7175681Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:43.9733472Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:43.9790410Z Installing collected packages: torchvision 2025-09-07T07:49:44.8337616Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:49:44.8645005Z + '[' -n '' ']' 2025-09-07T07:49:44.8645243Z + id=0 2025-09-07T07:49:44.8645473Z + test_dynamo_benchmark timm_models 0 2025-09-07T07:49:44.8645730Z ++ pwd 2025-09-07T07:49:44.8645969Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.8646229Z + local suite=timm_models 2025-09-07T07:49:44.8646432Z + shift 2025-09-07T07:49:44.8646578Z + local shard_id=0 2025-09-07T07:49:44.8646724Z + shift 2025-09-07T07:49:44.8646908Z + [[ inductor_timm_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:49:44.8647139Z + [[ inductor_timm_perf_cpu_x86 == *perf* ]] 2025-09-07T07:49:44.8647349Z + [[ inductor_timm_perf_cpu_x86 == *b200* ]] 2025-09-07T07:49:44.8647580Z + test_single_dynamo_benchmark dashboard timm_models 0 2025-09-07T07:49:44.8652597Z ++ pwd 2025-09-07T07:49:44.8652807Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.8653093Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.8663468Z + local name=dashboard 2025-09-07T07:49:44.8663619Z + shift 2025-09-07T07:49:44.8663773Z + local suite=timm_models 2025-09-07T07:49:44.8663940Z + shift 2025-09-07T07:49:44.8664081Z + local shard_id=0 2025-09-07T07:49:44.8664223Z + shift 2025-09-07T07:49:44.8664367Z + partition_flags=() 2025-09-07T07:49:44.8664540Z + local partition_flags 2025-09-07T07:49:44.8664925Z + [[ -n 5 ]] 2025-09-07T07:49:44.8665062Z + [[ -n 0 ]] 2025-09-07T07:49:44.8665322Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:49:44.8666533Z + [[ inductor_timm_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:49:44.8666766Z + [[ inductor_timm_perf_cpu_x86 == *perf* ]] 2025-09-07T07:49:44.8667061Z + test_perf_for_dashboard timm_models --device cpu --total-partitions 5 --partition-id 0 2025-09-07T07:49:44.8667994Z ++ pwd 2025-09-07T07:49:44.8669415Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.8669686Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.8680520Z + local suite=timm_models 2025-09-07T07:49:44.8680674Z + shift 2025-09-07T07:49:44.8680829Z + local backend=inductor 2025-09-07T07:49:44.8680996Z + modes=() 2025-09-07T07:49:44.8681142Z + local modes 2025-09-07T07:49:44.8681583Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *training-true* ]] 2025-09-07T07:49:44.8682350Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *inference-true* ]] 2025-09-07T07:49:44.8682819Z + modes+=(inference) 2025-09-07T07:49:44.8683006Z + targets=('accuracy' 'performance') 2025-09-07T07:49:44.8683198Z + local targets 2025-09-07T07:49:44.8683344Z + local device=cuda 2025-09-07T07:49:44.8683518Z + [[ inductor_timm_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:49:44.8683742Z + [[ inductor_timm_perf_cpu_x86 == *cpu_x86_zen* ]] 2025-09-07T07:49:44.8683975Z + [[ inductor_timm_perf_cpu_x86 == *cpu_x86* ]] 2025-09-07T07:49:44.8684168Z + device=cpu_x86 2025-09-07T07:49:44.8684338Z + test_inductor_set_cpu_affinity 2025-09-07T07:49:44.8685031Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:49:44.8869219Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2 2025-09-07T07:49:44.8869666Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:44.8870020Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:44.8870440Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:44.8870949Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:44.8871298Z + [[ inductor_timm_perf_cpu_x86 != *aarch64* ]] 2025-09-07T07:49:44.8871531Z +++ which python 2025-09-07T07:49:44.8885522Z ++ dirname /opt/conda/envs/py_3.9/bin/python 2025-09-07T07:49:44.8899983Z + IOMP_LIB=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so 2025-09-07T07:49:44.8900387Z + export LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:44.8900824Z + LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:44.8901161Z + export KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:44.8901397Z + KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:44.8901636Z + export KMP_BLOCKTIME=1 2025-09-07T07:49:44.8901801Z + KMP_BLOCKTIME=1 2025-09-07T07:49:44.8903959Z ++ nproc 2025-09-07T07:49:44.8922227Z + cpus=96 2025-09-07T07:49:44.8928474Z ++ lscpu 2025-09-07T07:49:44.8929356Z ++ grep 'Thread(s) per core:' 2025-09-07T07:49:44.8930248Z ++ awk '{print $4}' 2025-09-07T07:49:44.9191169Z + thread_per_core=2 2025-09-07T07:49:44.9191380Z + cores=48 2025-09-07T07:49:44.9191562Z + [[ inductor_timm_perf_cpu_x86 == *aarch64* ]] 2025-09-07T07:49:44.9191778Z + export OMP_NUM_THREADS=48 2025-09-07T07:49:44.9191957Z + OMP_NUM_THREADS=48 2025-09-07T07:49:44.9194144Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:49:44.9420136Z + start_cpu=0 2025-09-07T07:49:44.9420394Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:49:44.9640727Z + end_cpu=93 2025-09-07T07:49:44.9640934Z + export 'TASKSET=taskset -c 0-93' 2025-09-07T07:49:44.9641143Z + TASKSET='taskset -c 0-93' 2025-09-07T07:49:44.9641539Z + for mode in "${modes[@]}" 2025-09-07T07:49:44.9641723Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:49:44.9641933Z + [[ cpu_x86 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:49:44.9642190Z + dtype=amp 2025-09-07T07:49:44.9642343Z + for target in "${targets[@]}" 2025-09-07T07:49:44.9642529Z + target_flag=('--accuracy') 2025-09-07T07:49:44.9642708Z + local target_flag 2025-09-07T07:49:44.9642883Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:49:44.9643084Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:49:44.9643301Z + target_flag+=(--no-translation-validation) 2025-09-07T07:49:44.9643814Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T07:49:44.9644291Z + target_flag+=(--freezing) 2025-09-07T07:49:44.9644741Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T07:49:44.9645872Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T07:49:45.6589670Z /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. 2025-09-07T07:49:45.6590544Z import pynvml # type: ignore[import] 2025-09-07T07:49:48.6020132Z /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. 2025-09-07T07:49:48.6021112Z import pynvml # type: ignore[import] 2025-09-07T07:49:50.8034751Z 2025-09-07T07:49:51.0725965Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:49:51.0726173Z 2025-09-07T07:49:51.1794040Z model.safetensors: 0% 0.00/95.5M [00:00 [B, N, h, Ch] -> [B, N, C] 2025-09-07T08:35:28.4477805Z 2025-09-07T08:35:28.4477890Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4478123Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4478324Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4478524Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4479406Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4479601Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4479828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4480173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4480485Z return mod(*inputs) 2025-09-07T08:35:28.4480767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4481071Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4481404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4481733Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4482030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4482331Z x = self.cpe(x, size) 2025-09-07T08:35:28.4482625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4482930Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4483045Z 2025-09-07T08:35:28.4483153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4483498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4483800Z return mod(*inputs) 2025-09-07T08:35:28.4484075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4484383Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4484712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4485028Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4485324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4485625Z x = self.cpe(x, size) 2025-09-07T08:35:28.4485912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4486216Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4486330Z 2025-09-07T08:35:28.4486431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4486775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4487083Z return mod(*inputs) 2025-09-07T08:35:28.4487360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4487660Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4487992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4488320Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4488613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4488914Z x = self.cpe(x, size) 2025-09-07T08:35:28.4489191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4489490Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4489602Z 2025-09-07T08:35:28.4489685Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4489894Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4490114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4490461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4490771Z return mod(*inputs) 2025-09-07T08:35:28.4491049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4491388Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4491720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4492083Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4492373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4492670Z x = self.cpe(x, size) 2025-09-07T08:35:28.4492939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T08:35:28.4493242Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T08:35:28.4493374Z 2025-09-07T08:35:28.4493449Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4493650Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4493867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4494204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4494521Z return mod(*inputs) 2025-09-07T08:35:28.4494801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4497864Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4498204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4498538Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4498831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4499132Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4499443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4499751Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4499870Z 2025-09-07T08:35:28.4499983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4500326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4500624Z return mod(*inputs) 2025-09-07T08:35:28.4500911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4501264Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4501585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4501918Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4502207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4502517Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4502817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4503120Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4503241Z 2025-09-07T08:35:28.4503341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4503685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4503993Z return mod(*inputs) 2025-09-07T08:35:28.4504267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4504579Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4504909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4505237Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4505519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4505829Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4506137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4506440Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4506552Z 2025-09-07T08:35:28.4506660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4507022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4507370Z return mod(*inputs) 2025-09-07T08:35:28.4507651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4507955Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4508277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4508604Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4508897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4509205Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4509511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4509806Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4509928Z 2025-09-07T08:35:28.4510028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4510370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4510737Z return mod(*inputs) 2025-09-07T08:35:28.4511009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4511314Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4511641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4511963Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4512251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4512553Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4512857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4513191Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4513338Z 2025-09-07T08:35:28.4513446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4513793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4514097Z return mod(*inputs) 2025-09-07T08:35:28.4514375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4514685Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4515016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4515338Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4515631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4515943Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4516248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4516577Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4516719Z 2025-09-07T08:35:28.4516824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4517171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4517484Z return mod(*inputs) 2025-09-07T08:35:28.4517761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4518062Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4518394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4518717Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4519008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4519314Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4519628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4519928Z factor_att = q @ factor_att 2025-09-07T08:35:28.4520067Z 2025-09-07T08:35:28.4520176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4520519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4520835Z return mod(*inputs) 2025-09-07T08:35:28.4521107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4521419Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4521751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4522075Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4522359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4522671Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4522976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4523309Z factor_att = q @ factor_att 2025-09-07T08:35:28.4523416Z 2025-09-07T08:35:28.4523526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4523858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4524170Z return mod(*inputs) 2025-09-07T08:35:28.4524453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4524755Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4525075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4525402Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4525688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4525999Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4526311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4526630Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4526951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4527272Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4527408Z 2025-09-07T08:35:28.4527515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4527852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4528152Z return mod(*inputs) 2025-09-07T08:35:28.4528430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4528738Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4529067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4529389Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4529679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4529984Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4530291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4530616Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4530928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4531248Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4531386Z 2025-09-07T08:35:28.4531494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4531838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4532161Z return mod(*inputs) 2025-09-07T08:35:28.4532482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4532799Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4533141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4533476Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4533763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4534078Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4534393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4534729Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4535049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4535377Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4535526Z 2025-09-07T08:35:28.4535632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4535995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4536305Z return mod(*inputs) 2025-09-07T08:35:28.4536579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4536885Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4537217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4537542Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4537824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4538135Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4538448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4538773Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4539101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4539410Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4539556Z 2025-09-07T08:35:28.4539654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4539998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4540305Z return mod(*inputs) 2025-09-07T08:35:28.4540578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4540888Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4541215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4541547Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4541838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4542149Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4542457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4542783Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4543100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4543407Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4543548Z 2025-09-07T08:35:28.4543648Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4543993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4544305Z return mod(*inputs) 2025-09-07T08:35:28.4544582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4544905Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4545265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4545593Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4545885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4546187Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4546495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4546821Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4547139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4547457Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4547594Z 2025-09-07T08:35:28.4547676Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4547885Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4548092Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4548350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4548691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4549057Z return mod(*inputs) 2025-09-07T08:35:28.4549345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4549666Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4550006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4550333Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4550634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4550954Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4551269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4551592Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4551923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T08:35:28.4552252Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T08:35:28.4552393Z 2025-09-07T08:35:28.4552505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4552850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4553157Z return mod(*inputs) 2025-09-07T08:35:28.4553436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4553743Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4554076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T08:35:28.4554398Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T08:35:28.4554693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4555005Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4555315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T08:35:28.4555690Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T08:35:28.4555880Z 2025-09-07T08:35:28.4555957Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4556165Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4556370Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4556571Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4556763Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4556964Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4557228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4557575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4557925Z return mod(*inputs) 2025-09-07T08:35:28.4558202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4558504Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4558829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-09-07T08:35:28.4559159Z x2 = self.patch_embed2(x1_nocls) 2025-09-07T08:35:28.4559472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4559786Z x = self.proj(x) 2025-09-07T08:35:28.4559891Z 2025-09-07T08:35:28.4559988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4560320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4560617Z return mod(*inputs) 2025-09-07T08:35:28.4560894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4561227Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4561549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-09-07T08:35:28.4561870Z x2 = self.patch_embed2(x1_nocls) 2025-09-07T08:35:28.4562176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4562484Z x = self.proj(x) 2025-09-07T08:35:28.4562586Z 2025-09-07T08:35:28.4562683Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4563015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4563307Z return mod(*inputs) 2025-09-07T08:35:28.4563576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4563878Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4564203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-09-07T08:35:28.4564525Z x2 = self.patch_embed2(x1_nocls) 2025-09-07T08:35:28.4564830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4565135Z x = self.proj(x) 2025-09-07T08:35:28.4565238Z 2025-09-07T08:35:28.4565334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4565671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4565965Z return mod(*inputs) 2025-09-07T08:35:28.4566239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4566543Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4566864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-09-07T08:35:28.4567187Z x2 = self.patch_embed2(x1_nocls) 2025-09-07T08:35:28.4567494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-09-07T08:35:28.4567804Z x = self.norm(x) 2025-09-07T08:35:28.4567900Z 2025-09-07T08:35:28.4567996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4568332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4568627Z return mod(*inputs) 2025-09-07T08:35:28.4568898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4569201Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4569515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 583, in forward_features 2025-09-07T08:35:28.4569859Z x2 = insert_cls(x2, self.cls_token2) 2025-09-07T08:35:28.4570195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-09-07T08:35:28.4570513Z x = torch.cat((cls_tokens, x), dim=1) 2025-09-07T08:35:28.4570643Z 2025-09-07T08:35:28.4570739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4571070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4571364Z return mod(*inputs) 2025-09-07T08:35:28.4571635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4571936Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4572254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4572569Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4572846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4573146Z x = self.cpe(x, size) 2025-09-07T08:35:28.4573427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4573744Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4573856Z 2025-09-07T08:35:28.4573953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4574288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4574586Z return mod(*inputs) 2025-09-07T08:35:28.4574855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4575156Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4575470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4575789Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4576072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4576371Z x = self.cpe(x, size) 2025-09-07T08:35:28.4576643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4576940Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4577056Z 2025-09-07T08:35:28.4577153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4577487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4577788Z return mod(*inputs) 2025-09-07T08:35:28.4578053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4578353Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4578674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4578995Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4579265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4579564Z x = self.cpe(x, size) 2025-09-07T08:35:28.4579838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4580131Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4580240Z 2025-09-07T08:35:28.4580325Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4580786Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4581008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4581337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4581637Z return mod(*inputs) 2025-09-07T08:35:28.4581904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4582202Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4582552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4582895Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4583177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4583463Z x = self.cpe(x, size) 2025-09-07T08:35:28.4583737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T08:35:28.4584036Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T08:35:28.4584156Z 2025-09-07T08:35:28.4584234Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4584423Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4584646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4584977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4585279Z return mod(*inputs) 2025-09-07T08:35:28.4585546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4585850Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4586191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4586510Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4586789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4587082Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4587379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4587674Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4587787Z 2025-09-07T08:35:28.4587891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4588224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4588521Z return mod(*inputs) 2025-09-07T08:35:28.4588796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4589100Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4589418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4589726Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4590006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4590306Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4590600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4590886Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4591008Z 2025-09-07T08:35:28.4591107Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4591438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4591743Z return mod(*inputs) 2025-09-07T08:35:28.4592014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4592308Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4592626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4592940Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4593219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4593511Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4593809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4594107Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4594220Z 2025-09-07T08:35:28.4594326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4594685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4594980Z return mod(*inputs) 2025-09-07T08:35:28.4595282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4595585Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4595906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4596224Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4596498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4596799Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4597095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4597392Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4597506Z 2025-09-07T08:35:28.4597603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4597942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4598265Z return mod(*inputs) 2025-09-07T08:35:28.4598539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4598839Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4599155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4599473Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4599756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4600059Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4600352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4600674Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4600825Z 2025-09-07T08:35:28.4600924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4601262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4601568Z return mod(*inputs) 2025-09-07T08:35:28.4601836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4602139Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4602465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4602787Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4603065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4603372Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4603673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4603997Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4604134Z 2025-09-07T08:35:28.4604240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4604572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4604879Z return mod(*inputs) 2025-09-07T08:35:28.4605152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4605452Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4605770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4606088Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4606372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4606677Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4606994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4607283Z factor_att = q @ factor_att 2025-09-07T08:35:28.4607425Z 2025-09-07T08:35:28.4607525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4607863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4608167Z return mod(*inputs) 2025-09-07T08:35:28.4608439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4608749Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4609078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4609402Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4609692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4610001Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4610308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4610631Z factor_att = q @ factor_att 2025-09-07T08:35:28.4610739Z 2025-09-07T08:35:28.4610845Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4611178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4611488Z return mod(*inputs) 2025-09-07T08:35:28.4611763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4612069Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4612399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4612718Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4613002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4613314Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4613623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4613945Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4614272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4614595Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4614734Z 2025-09-07T08:35:28.4614843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4615188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4615495Z return mod(*inputs) 2025-09-07T08:35:28.4615771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4616084Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4616421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4616741Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4617035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4617348Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4617656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4617987Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4618302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4618626Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4618774Z 2025-09-07T08:35:28.4618872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4619219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4619537Z return mod(*inputs) 2025-09-07T08:35:28.4619844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4620156Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4620485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4620812Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4621093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4621405Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4621711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4622038Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4622348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4622671Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4622812Z 2025-09-07T08:35:28.4622912Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4623286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4623597Z return mod(*inputs) 2025-09-07T08:35:28.4623869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4624179Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4624508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4624833Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4625111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4625421Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4625728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4626049Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4626369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4626680Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4626823Z 2025-09-07T08:35:28.4626922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4627265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4627579Z return mod(*inputs) 2025-09-07T08:35:28.4627848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4628156Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4628490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4628822Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4629113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4629421Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4629728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4630051Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4630370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4630680Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4630826Z 2025-09-07T08:35:28.4630929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4631274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4631584Z return mod(*inputs) 2025-09-07T08:35:28.4631865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4632184Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4632544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4632875Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4633162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4633472Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4633773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4634095Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4634415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4634726Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4634861Z 2025-09-07T08:35:28.4634941Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4635148Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4635351Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4635603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4635939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4636251Z return mod(*inputs) 2025-09-07T08:35:28.4636536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4636846Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4637173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4637490Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4637781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4638092Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4638401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4638718Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4639042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T08:35:28.4639367Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T08:35:28.4639508Z 2025-09-07T08:35:28.4639616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4639961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4640262Z return mod(*inputs) 2025-09-07T08:35:28.4640542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4640853Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4641185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4641510Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4641804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4642116Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4642419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T08:35:28.4642796Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T08:35:28.4642981Z 2025-09-07T08:35:28.4643060Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4643269Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4643470Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4643673Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4643864Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4644073Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4644300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4644681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4645022Z return mod(*inputs) 2025-09-07T08:35:28.4645295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4645599Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4645929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4646255Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4646537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4646846Z x = self.cpe(x, size) 2025-09-07T08:35:28.4647126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4647430Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4647545Z 2025-09-07T08:35:28.4647650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4647987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4648315Z return mod(*inputs) 2025-09-07T08:35:28.4648595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4648943Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4649269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4649604Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4649898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4650200Z x = self.cpe(x, size) 2025-09-07T08:35:28.4650475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4650776Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4650908Z 2025-09-07T08:35:28.4651005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4651340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4651644Z return mod(*inputs) 2025-09-07T08:35:28.4651911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4652213Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4652534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4652847Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4653117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4653407Z x = self.cpe(x, size) 2025-09-07T08:35:28.4653679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4653975Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4654083Z 2025-09-07T08:35:28.4654166Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4654364Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4654585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4654916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4655221Z return mod(*inputs) 2025-09-07T08:35:28.4655485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4655786Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4656110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4656430Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4656707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4657033Z x = self.cpe(x, size) 2025-09-07T08:35:28.4657312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T08:35:28.4657659Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T08:35:28.4657783Z 2025-09-07T08:35:28.4657864Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4658057Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4658280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4658618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4658932Z return mod(*inputs) 2025-09-07T08:35:28.4659201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4659508Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4659831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4660155Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4660441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4660766Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4661065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4661356Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4661469Z 2025-09-07T08:35:28.4661576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4661901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4662202Z return mod(*inputs) 2025-09-07T08:35:28.4662473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4662775Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4663095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4663408Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4663691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4663994Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4664291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4664578Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4664700Z 2025-09-07T08:35:28.4664799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4665132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4665431Z return mod(*inputs) 2025-09-07T08:35:28.4665699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4665991Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4666314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4666627Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4666913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4667207Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4667504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4667796Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4667908Z 2025-09-07T08:35:28.4668012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4668341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4668634Z return mod(*inputs) 2025-09-07T08:35:28.4668902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4669218Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4669541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4669895Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4670184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4670485Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4670787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4671083Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4671196Z 2025-09-07T08:35:28.4671297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4671640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4671946Z return mod(*inputs) 2025-09-07T08:35:28.4672222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4672517Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4672846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4673183Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4673473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4673774Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4674063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4674386Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4674532Z 2025-09-07T08:35:28.4674631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4674966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4675260Z return mod(*inputs) 2025-09-07T08:35:28.4675534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4675838Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4676165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4676485Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4676758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4677060Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4677357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4677673Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4677812Z 2025-09-07T08:35:28.4677917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4678240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4678544Z return mod(*inputs) 2025-09-07T08:35:28.4678813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4679119Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4679430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4679747Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4680028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4680328Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4680617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4680910Z factor_att = q @ factor_att 2025-09-07T08:35:28.4681024Z 2025-09-07T08:35:28.4681120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4681454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4681770Z return mod(*inputs) 2025-09-07T08:35:28.4682061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4682364Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4682688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4683006Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4683279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4683583Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4683880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4684177Z factor_att = q @ factor_att 2025-09-07T08:35:28.4684281Z 2025-09-07T08:35:28.4684388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4684717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4685028Z return mod(*inputs) 2025-09-07T08:35:28.4685319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4685619Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4685931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4686250Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4686530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4686830Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4687130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4687445Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4687764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4688079Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4688216Z 2025-09-07T08:35:28.4688321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4688653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4688946Z return mod(*inputs) 2025-09-07T08:35:28.4689220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4689520Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4689839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4690146Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4690427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4690732Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4691032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4691352Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4691660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4691969Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4692112Z 2025-09-07T08:35:28.4692205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4692536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4692828Z return mod(*inputs) 2025-09-07T08:35:28.4693095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4693397Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4693716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4694050Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4694349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4694655Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4694952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4695265Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4695570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4695881Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4696021Z 2025-09-07T08:35:28.4696117Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4696450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4696753Z return mod(*inputs) 2025-09-07T08:35:28.4697020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4697327Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4697672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4697991Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4698264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4698568Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4698862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4699176Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4699490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4699790Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4699934Z 2025-09-07T08:35:28.4700031Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4700369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4700434Z return mod(*inputs) 2025-09-07T08:35:28.4700613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4700684Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4700891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4700958Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4701128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4701212Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4701380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4701477Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4701652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4701735Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4701738Z 2025-09-07T08:35:28.4701844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4702025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4702097Z return mod(*inputs) 2025-09-07T08:35:28.4702265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4702336Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4702541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4702605Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4702798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4702873Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4703081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4703169Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4703338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4703430Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4703433Z 2025-09-07T08:35:28.4703508Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4703590Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4703664Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4703762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4703950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4704015Z return mod(*inputs) 2025-09-07T08:35:28.4704194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4704297Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4704495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4704567Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4704736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4704815Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4704984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4705070Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4705246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T08:35:28.4705335Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T08:35:28.4705338Z 2025-09-07T08:35:28.4705438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4705625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4705691Z return mod(*inputs) 2025-09-07T08:35:28.4705862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4705930Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4706131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T08:35:28.4706193Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T08:35:28.4706367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4706441Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4706610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T08:35:28.4706752Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T08:35:28.4706759Z 2025-09-07T08:35:28.4706833Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4706912Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4706983Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4707055Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4707137Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4707208Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4707309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4707489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4707550Z return mod(*inputs) 2025-09-07T08:35:28.4707726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4707814Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4708060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-09-07T08:35:28.4708134Z x3 = self.patch_embed3(x2_nocls) 2025-09-07T08:35:28.4708326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4708397Z x = self.proj(x) 2025-09-07T08:35:28.4708400Z 2025-09-07T08:35:28.4708495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4708682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4708744Z return mod(*inputs) 2025-09-07T08:35:28.4708913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4708994Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4709190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-09-07T08:35:28.4709269Z x3 = self.patch_embed3(x2_nocls) 2025-09-07T08:35:28.4709473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4709561Z x = self.proj(x) 2025-09-07T08:35:28.4709564Z 2025-09-07T08:35:28.4709661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4709842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4709913Z return mod(*inputs) 2025-09-07T08:35:28.4710082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4710159Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4710355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-09-07T08:35:28.4710424Z x3 = self.patch_embed3(x2_nocls) 2025-09-07T08:35:28.4710623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4710683Z x = self.proj(x) 2025-09-07T08:35:28.4710690Z 2025-09-07T08:35:28.4710794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4710971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4711032Z return mod(*inputs) 2025-09-07T08:35:28.4711212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4711282Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4711483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-09-07T08:35:28.4711551Z x3 = self.patch_embed3(x2_nocls) 2025-09-07T08:35:28.4711740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-09-07T08:35:28.4711809Z x = self.norm(x) 2025-09-07T08:35:28.4711812Z 2025-09-07T08:35:28.4711905Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4712101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4712165Z return mod(*inputs) 2025-09-07T08:35:28.4712341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4712411Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4712602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 591, in forward_features 2025-09-07T08:35:28.4712683Z x3 = insert_cls(x3, self.cls_token3) 2025-09-07T08:35:28.4712863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-09-07T08:35:28.4712943Z x = torch.cat((cls_tokens, x), dim=1) 2025-09-07T08:35:28.4712946Z 2025-09-07T08:35:28.4713039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4713236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4713333Z return mod(*inputs) 2025-09-07T08:35:28.4713507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4713585Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4713782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4713848Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4714027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4714094Z x = self.cpe(x, size) 2025-09-07T08:35:28.4714271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4714338Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4714341Z 2025-09-07T08:35:28.4714445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4714633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4714709Z return mod(*inputs) 2025-09-07T08:35:28.4714889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4714958Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4715163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4715226Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4715397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4715472Z x = self.cpe(x, size) 2025-09-07T08:35:28.4715641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4715716Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4715720Z 2025-09-07T08:35:28.4715815Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4715997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4716067Z return mod(*inputs) 2025-09-07T08:35:28.4716235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4716313Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4716512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4716576Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4716756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4716819Z x = self.cpe(x, size) 2025-09-07T08:35:28.4716996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4717063Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4717066Z 2025-09-07T08:35:28.4717147Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4717222Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4717321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4717512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4717574Z return mod(*inputs) 2025-09-07T08:35:28.4717754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4717824Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4718020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4718091Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4718261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4718346Z x = self.cpe(x, size) 2025-09-07T08:35:28.4718514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T08:35:28.4718617Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T08:35:28.4718620Z 2025-09-07T08:35:28.4718702Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4718773Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4718877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4719056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4719119Z return mod(*inputs) 2025-09-07T08:35:28.4719296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4719365Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4719566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4719633Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4719800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4719902Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4720071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4720149Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4720152Z 2025-09-07T08:35:28.4720246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4720437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4720500Z return mod(*inputs) 2025-09-07T08:35:28.4720667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4720744Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4720943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4721016Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4721188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4721262Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4721441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4721509Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4721512Z 2025-09-07T08:35:28.4721612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4721792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4721854Z return mod(*inputs) 2025-09-07T08:35:28.4722028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4722095Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4722295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4722359Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4722531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4722611Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4722778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4722854Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4722857Z 2025-09-07T08:35:28.4722951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4723143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4723204Z return mod(*inputs) 2025-09-07T08:35:28.4723374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4723447Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4723658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4723755Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4723924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4723994Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4724169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4724235Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4724238Z 2025-09-07T08:35:28.4724344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4724526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4724587Z return mod(*inputs) 2025-09-07T08:35:28.4724765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4724835Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4725039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4725120Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4725292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4725371Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4725541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4725640Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4725643Z 2025-09-07T08:35:28.4725738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4725930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4725992Z return mod(*inputs) 2025-09-07T08:35:28.4726166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4726243Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4726447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4726516Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4726687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4726759Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4726937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4727026Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4727030Z 2025-09-07T08:35:28.4727132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4727318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4727382Z return mod(*inputs) 2025-09-07T08:35:28.4727565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4727637Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4727842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4727904Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4728074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4728154Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4728324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4728395Z factor_att = q @ factor_att 2025-09-07T08:35:28.4728398Z 2025-09-07T08:35:28.4728493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4728686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4728776Z return mod(*inputs) 2025-09-07T08:35:28.4728974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4729055Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4729248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4729318Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4729485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4729557Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4729732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4729796Z factor_att = q @ factor_att 2025-09-07T08:35:28.4729799Z 2025-09-07T08:35:28.4729901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4730084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4730144Z return mod(*inputs) 2025-09-07T08:35:28.4730342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4730411Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4730612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4730675Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4730843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4730924Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4731092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4731192Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4731362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4731456Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4731461Z 2025-09-07T08:35:28.4731558Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4731741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4731814Z return mod(*inputs) 2025-09-07T08:35:28.4731984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4732063Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4732260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4732325Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4732503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4732575Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4732763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4732858Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4733029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4733123Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4733126Z 2025-09-07T08:35:28.4733221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4733410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4733471Z return mod(*inputs) 2025-09-07T08:35:28.4733648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4733719Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4733919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4734007Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4734202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4734286Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4734454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4734541Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4734717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4734799Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4734802Z 2025-09-07T08:35:28.4734904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4735084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4735145Z return mod(*inputs) 2025-09-07T08:35:28.4735324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4735396Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4735614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4735677Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4735844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4735928Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4736097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4736191Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4736359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4736447Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4736452Z 2025-09-07T08:35:28.4736545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4736729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4736800Z return mod(*inputs) 2025-09-07T08:35:28.4736969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4737044Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4737239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4737303Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4737482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4737554Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4737731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4737816Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4737989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4738080Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4738083Z 2025-09-07T08:35:28.4738177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4738364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4738424Z return mod(*inputs) 2025-09-07T08:35:28.4738601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4738670Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4738866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4738937Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4739105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4739204Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4739405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4739490Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4739665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4739745Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4739748Z 2025-09-07T08:35:28.4739830Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4739905Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4739977Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4740082Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4740262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4740333Z return mod(*inputs) 2025-09-07T08:35:28.4740502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4740592Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4740796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4740861Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4741038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4741111Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4741280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4741372Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4741542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T08:35:28.4741643Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T08:35:28.4741647Z 2025-09-07T08:35:28.4741741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4741933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4741996Z return mod(*inputs) 2025-09-07T08:35:28.4742165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4742242Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4742438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4742506Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4742674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4742746Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4742922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T08:35:28.4743054Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T08:35:28.4743060Z 2025-09-07T08:35:28.4743142Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4743216Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4743290Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4743370Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4743442Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4743524Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4743623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4743805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4743874Z return mod(*inputs) 2025-09-07T08:35:28.4744044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4744139Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4744336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4744428Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4744604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4744671Z x = self.cpe(x, size) 2025-09-07T08:35:28.4744848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4744916Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4744919Z 2025-09-07T08:35:28.4745021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4745201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4745264Z return mod(*inputs) 2025-09-07T08:35:28.4745439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4745509Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4745715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4745806Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4745977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4746048Z x = self.cpe(x, size) 2025-09-07T08:35:28.4746217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4746291Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4746294Z 2025-09-07T08:35:28.4746392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4746575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4746641Z return mod(*inputs) 2025-09-07T08:35:28.4746810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4746890Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4747092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4747159Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4747336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4747398Z x = self.cpe(x, size) 2025-09-07T08:35:28.4747579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4747644Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4747648Z 2025-09-07T08:35:28.4747729Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4747800Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4747896Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4748089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4748152Z return mod(*inputs) 2025-09-07T08:35:28.4748333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4748403Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4748602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4748674Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4748883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4748956Z x = self.cpe(x, size) 2025-09-07T08:35:28.4749129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T08:35:28.4749199Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T08:35:28.4749202Z 2025-09-07T08:35:28.4749283Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4749394Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4749506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4749738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4749805Z return mod(*inputs) 2025-09-07T08:35:28.4749988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4750062Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4750272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4750337Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4750511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4750591Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4750763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4750840Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4750843Z 2025-09-07T08:35:28.4750942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4751164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4751229Z return mod(*inputs) 2025-09-07T08:35:28.4751403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4751485Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4751689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4751764Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4751938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4752011Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4752189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4752260Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4752263Z 2025-09-07T08:35:28.4752374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4752562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4752625Z return mod(*inputs) 2025-09-07T08:35:28.4752805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4752877Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4753085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4753149Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4753323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4753405Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4753588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4753667Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4753672Z 2025-09-07T08:35:28.4753769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4753961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4754025Z return mod(*inputs) 2025-09-07T08:35:28.4754198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4754278Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4754482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4754555Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4754732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4754823Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4755036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4755106Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4755109Z 2025-09-07T08:35:28.4755216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4755403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4755465Z return mod(*inputs) 2025-09-07T08:35:28.4755646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4755715Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4755921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4755987Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4756159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4756245Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4756421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4756555Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4756558Z 2025-09-07T08:35:28.4756656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4756851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4756914Z return mod(*inputs) 2025-09-07T08:35:28.4757086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4757170Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4757372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4757445Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4757621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4757697Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4757880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4757971Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4757975Z 2025-09-07T08:35:28.4758079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4758263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4758326Z return mod(*inputs) 2025-09-07T08:35:28.4758505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4758576Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4758784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4758851Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4759035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4759111Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4759283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4759359Z factor_att = q @ factor_att 2025-09-07T08:35:28.4759362Z 2025-09-07T08:35:28.4759458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4759653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4759715Z return mod(*inputs) 2025-09-07T08:35:28.4759888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4759968Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4760168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4760256Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4760457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4760533Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4760713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4760776Z factor_att = q @ factor_att 2025-09-07T08:35:28.4760780Z 2025-09-07T08:35:28.4760885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4761072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4761136Z return mod(*inputs) 2025-09-07T08:35:28.4761316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4761386Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4761594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4761661Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4761858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4761931Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4762104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4762204Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4762378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4762472Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4762476Z 2025-09-07T08:35:28.4762572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4762755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4762829Z return mod(*inputs) 2025-09-07T08:35:28.4763004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4763085Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4763287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4763352Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4763534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4763607Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4763788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4763878Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4764051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4764144Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4764147Z 2025-09-07T08:35:28.4764246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4764442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4764505Z return mod(*inputs) 2025-09-07T08:35:28.4764689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4764761Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4764962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4765038Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4765213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4765295Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4765468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4765574Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4765809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4765894Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4765897Z 2025-09-07T08:35:28.4766001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4766186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4766248Z return mod(*inputs) 2025-09-07T08:35:28.4766429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4766501Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4766710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4766778Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4766961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4767056Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4767239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4767336Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4767504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4767593Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4767596Z 2025-09-07T08:35:28.4767691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4767870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4767941Z return mod(*inputs) 2025-09-07T08:35:28.4768107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4768188Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4768385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4768452Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4768630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4768702Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4768877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4768961Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4769130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4769222Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4769225Z 2025-09-07T08:35:28.4769321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4769509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4769575Z return mod(*inputs) 2025-09-07T08:35:28.4769753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4769822Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4770016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4770088Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4770257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4770335Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4770502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4770587Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4770779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4770887Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4770891Z 2025-09-07T08:35:28.4770976Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4771049Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4771122Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4771226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4771404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4771475Z return mod(*inputs) 2025-09-07T08:35:28.4771642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4771712Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4771909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4771975Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4772151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4772240Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4772417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4772504Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4772671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T08:35:28.4772768Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T08:35:28.4772772Z 2025-09-07T08:35:28.4772866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4773052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4773115Z return mod(*inputs) 2025-09-07T08:35:28.4773286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4773363Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4773565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T08:35:28.4773635Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T08:35:28.4773804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4773877Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4774052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T08:35:28.4774184Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T08:35:28.4774187Z 2025-09-07T08:35:28.4774270Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4774341Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4774415Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4774495Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4774564Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4774648Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4774744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4774926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4774995Z return mod(*inputs) 2025-09-07T08:35:28.4775164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4775241Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4775442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-09-07T08:35:28.4775521Z x4 = self.patch_embed4(x3_nocls) 2025-09-07T08:35:28.4775712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4775787Z x = self.proj(x) 2025-09-07T08:35:28.4775790Z 2025-09-07T08:35:28.4775923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4776104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4776174Z return mod(*inputs) 2025-09-07T08:35:28.4776340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4776409Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4776612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-09-07T08:35:28.4776681Z x4 = self.patch_embed4(x3_nocls) 2025-09-07T08:35:28.4776879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4776940Z x = self.proj(x) 2025-09-07T08:35:28.4776943Z 2025-09-07T08:35:28.4777039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4777230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4777309Z return mod(*inputs) 2025-09-07T08:35:28.4777488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4777556Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4777756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-09-07T08:35:28.4777834Z x4 = self.patch_embed4(x3_nocls) 2025-09-07T08:35:28.4778024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:35:28.4778097Z x = self.proj(x) 2025-09-07T08:35:28.4778100Z 2025-09-07T08:35:28.4778193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4778382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4778445Z return mod(*inputs) 2025-09-07T08:35:28.4778614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4778695Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4778888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-09-07T08:35:28.4778963Z x4 = self.patch_embed4(x3_nocls) 2025-09-07T08:35:28.4779152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-09-07T08:35:28.4779215Z x = self.norm(x) 2025-09-07T08:35:28.4779218Z 2025-09-07T08:35:28.4779321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4779503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4779572Z return mod(*inputs) 2025-09-07T08:35:28.4779741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4779814Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4780018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 599, in forward_features 2025-09-07T08:35:28.4780090Z x4 = insert_cls(x4, self.cls_token4) 2025-09-07T08:35:28.4780276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-09-07T08:35:28.4780347Z x = torch.cat((cls_tokens, x), dim=1) 2025-09-07T08:35:28.4780350Z 2025-09-07T08:35:28.4780452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4780631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4780691Z return mod(*inputs) 2025-09-07T08:35:28.4780867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4780953Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4781158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4781251Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4781423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4781499Z x = self.cpe(x, size) 2025-09-07T08:35:28.4781666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4781741Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4781744Z 2025-09-07T08:35:28.4781842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4782021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4782092Z return mod(*inputs) 2025-09-07T08:35:28.4782263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4782340Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4782538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4782617Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4782798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4782864Z x = self.cpe(x, size) 2025-09-07T08:35:28.4783045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4783112Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4783114Z 2025-09-07T08:35:28.4783219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4783402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4783462Z return mod(*inputs) 2025-09-07T08:35:28.4783641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4783713Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4783921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4783986Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4784157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4784230Z x = self.cpe(x, size) 2025-09-07T08:35:28.4784401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4784477Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4784480Z 2025-09-07T08:35:28.4784553Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4784626Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4784729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4784910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4784982Z return mod(*inputs) 2025-09-07T08:35:28.4785158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4785228Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4785436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4785498Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4785678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4785742Z x = self.cpe(x, size) 2025-09-07T08:35:28.4785916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T08:35:28.4785994Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T08:35:28.4785997Z 2025-09-07T08:35:28.4786067Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4786163Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4786259Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4786473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4786545Z return mod(*inputs) 2025-09-07T08:35:28.4786712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4786788Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4786984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4787054Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4787222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4787294Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4787473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4787545Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4787547Z 2025-09-07T08:35:28.4787652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4787854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4787914Z return mod(*inputs) 2025-09-07T08:35:28.4788092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4788160Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4788362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4788428Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4788596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4788678Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4788845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4788924Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4788927Z 2025-09-07T08:35:28.4789027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4789216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4789280Z return mod(*inputs) 2025-09-07T08:35:28.4789449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4789528Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4789723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4789797Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4789963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4790033Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4790212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4790277Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4790284Z 2025-09-07T08:35:28.4790386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4790567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4790628Z return mod(*inputs) 2025-09-07T08:35:28.4790803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4790872Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4791074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4791137Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4791303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4791396Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4791564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4791672Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4791675Z 2025-09-07T08:35:28.4791770Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4791959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4792022Z return mod(*inputs) 2025-09-07T08:35:28.4792191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4792271Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4792467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4792537Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4792705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4792779Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4792958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4793065Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4793068Z 2025-09-07T08:35:28.4793171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4793354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4793415Z return mod(*inputs) 2025-09-07T08:35:28.4793595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4793664Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4793864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4793926Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4794096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4794174Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4794348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4794444Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4794447Z 2025-09-07T08:35:28.4794539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4794729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4794788Z return mod(*inputs) 2025-09-07T08:35:28.4794956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4795033Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4795230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4795301Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4795475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4795548Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4795725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4795789Z factor_att = q @ factor_att 2025-09-07T08:35:28.4795792Z 2025-09-07T08:35:28.4795892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4796073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4796133Z return mod(*inputs) 2025-09-07T08:35:28.4796310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4796378Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4796582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4796662Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4796863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4796945Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4797114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4797185Z factor_att = q @ factor_att 2025-09-07T08:35:28.4797188Z 2025-09-07T08:35:28.4797282Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4797471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4797531Z return mod(*inputs) 2025-09-07T08:35:28.4797700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4797778Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4797974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4798044Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4798230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4798304Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4798478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4798567Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4798744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4798829Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4798832Z 2025-09-07T08:35:28.4798925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4799115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4799179Z return mod(*inputs) 2025-09-07T08:35:28.4799360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4799432Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4799635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4799699Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4799866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4799950Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4800118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4800214Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4800387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4800471Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4800474Z 2025-09-07T08:35:28.4800578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4800763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4800831Z return mod(*inputs) 2025-09-07T08:35:28.4801001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4801069Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4801272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4801335Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4801513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4801586Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4801754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4801863Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4802060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4802151Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4802154Z 2025-09-07T08:35:28.4802248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4802435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4802497Z return mod(*inputs) 2025-09-07T08:35:28.4802666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4802746Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4802938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4803014Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4803184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4803276Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4803457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4803542Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4803720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4803800Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4803803Z 2025-09-07T08:35:28.4803898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4804138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4804340Z return mod(*inputs) 2025-09-07T08:35:28.4804543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4804668Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4804892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4804982Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4826821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4826996Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4827225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4827341Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4827528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4827629Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4827636Z 2025-09-07T08:35:28.4827744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4827954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4828042Z return mod(*inputs) 2025-09-07T08:35:28.4828227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4828312Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4828528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4828601Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4828790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4828871Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4829053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4829149Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4829741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4829887Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4829895Z 2025-09-07T08:35:28.4829983Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4830073Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4830148Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4830266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4830467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4830536Z return mod(*inputs) 2025-09-07T08:35:28.4830722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4830799Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4831023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4831098Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4831281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4831396Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4831571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4831673Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4831851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T08:35:28.4831942Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T08:35:28.4831946Z 2025-09-07T08:35:28.4832055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4832246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4832321Z return mod(*inputs) 2025-09-07T08:35:28.4832498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4832572Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4832792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4832861Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4833041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4833117Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4833299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T08:35:28.4833444Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T08:35:28.4833447Z 2025-09-07T08:35:28.4833522Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4833605Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4833680Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4833760Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4833831Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4833911Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4834021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4834213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4834285Z return mod(*inputs) 2025-09-07T08:35:28.4834459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4834530Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4834745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4834812Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4834992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4835084Z x = self.cpe(x, size) 2025-09-07T08:35:28.4835314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4835399Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4835402Z 2025-09-07T08:35:28.4835501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4835693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4835756Z return mod(*inputs) 2025-09-07T08:35:28.4835926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4836007Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4836208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4836283Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4836454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4836531Z x = self.cpe(x, size) 2025-09-07T08:35:28.4836709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4836794Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4836798Z 2025-09-07T08:35:28.4836906Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4837094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4837167Z return mod(*inputs) 2025-09-07T08:35:28.4837342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4837415Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4837629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4837696Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4837881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4837946Z x = self.cpe(x, size) 2025-09-07T08:35:28.4838127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T08:35:28.4838204Z x = self.proj(feat) + feat 2025-09-07T08:35:28.4838208Z 2025-09-07T08:35:28.4838286Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4838367Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4838467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4838654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4838724Z return mod(*inputs) 2025-09-07T08:35:28.4838901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4838982Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4839185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4839254Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4839440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T08:35:28.4839508Z x = self.cpe(x, size) 2025-09-07T08:35:28.4839690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T08:35:28.4839764Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T08:35:28.4839767Z 2025-09-07T08:35:28.4839849Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4839921Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4840020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4840212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4840276Z return mod(*inputs) 2025-09-07T08:35:28.4840459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4840546Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4840788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4840868Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4841041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4841124Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4841298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4841371Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4841374Z 2025-09-07T08:35:28.4841480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4841665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4841738Z return mod(*inputs) 2025-09-07T08:35:28.4841913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4841989Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4842216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4842283Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4842466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4842540Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4842714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4842791Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4842794Z 2025-09-07T08:35:28.4842893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4843086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4843150Z return mod(*inputs) 2025-09-07T08:35:28.4843332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4843410Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4843611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4843700Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4843871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4843953Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4844120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4844188Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4844191Z 2025-09-07T08:35:28.4844296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4844475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4844547Z return mod(*inputs) 2025-09-07T08:35:28.4844720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4844790Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4844994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4845057Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4845232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4845304Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4845472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T08:35:28.4845547Z k_softmax = k.softmax(dim=2) 2025-09-07T08:35:28.4845550Z 2025-09-07T08:35:28.4845645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4845848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4845910Z return mod(*inputs) 2025-09-07T08:35:28.4846116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4846185Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4846380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4846451Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4846618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4846697Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4846864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4846957Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4846961Z 2025-09-07T08:35:28.4847065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4847248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4847334Z return mod(*inputs) 2025-09-07T08:35:28.4847504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4847574Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4847780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4847843Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4848021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4848094Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4848270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T08:35:28.4848366Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T08:35:28.4848369Z 2025-09-07T08:35:28.4848465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4848666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4848732Z return mod(*inputs) 2025-09-07T08:35:28.4848959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4849030Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4849234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4849308Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4849483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4849567Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4849746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4849818Z factor_att = q @ factor_att 2025-09-07T08:35:28.4849820Z 2025-09-07T08:35:28.4849931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4850114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4850191Z return mod(*inputs) 2025-09-07T08:35:28.4850363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4850433Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4850644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4850708Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4850889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4850965Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4851188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T08:35:28.4851254Z factor_att = q @ factor_att 2025-09-07T08:35:28.4851259Z 2025-09-07T08:35:28.4851408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4851599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4851660Z return mod(*inputs) 2025-09-07T08:35:28.4851834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4851902Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4852100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4852174Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4852341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4852426Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4852594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4852714Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4852894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4852983Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4852987Z 2025-09-07T08:35:28.4853093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4853274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4853346Z return mod(*inputs) 2025-09-07T08:35:28.4853515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4853585Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4853791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4853858Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4854037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4854112Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4854282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4854380Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4854549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4854643Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4854646Z 2025-09-07T08:35:28.4854743Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4854924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4854998Z return mod(*inputs) 2025-09-07T08:35:28.4855168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4855251Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4855446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4855513Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4855693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4855765Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4855939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4856024Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4856199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4856283Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4856302Z 2025-09-07T08:35:28.4856396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4856612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4856678Z return mod(*inputs) 2025-09-07T08:35:28.4856853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4856924Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4857120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4857192Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4857361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4857443Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4857608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4857694Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4857873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4857972Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4857975Z 2025-09-07T08:35:28.4858077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4858259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4858329Z return mod(*inputs) 2025-09-07T08:35:28.4858497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4858565Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4858767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4858830Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4859006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4859077Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4859248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4859341Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4859509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4859600Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4859603Z 2025-09-07T08:35:28.4859699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4859878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4859948Z return mod(*inputs) 2025-09-07T08:35:28.4860113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4860195Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4860393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4860458Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4860631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4860703Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4860877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4860961Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4861137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T08:35:28.4861219Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T08:35:28.4861222Z 2025-09-07T08:35:28.4861296Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4861378Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4861468Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4861573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4861789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4861853Z return mod(*inputs) 2025-09-07T08:35:28.4862032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4862104Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4862310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4862375Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4862544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4862626Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4862796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T08:35:28.4862891Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T08:35:28.4863063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T08:35:28.4863167Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T08:35:28.4863171Z 2025-09-07T08:35:28.4863276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4863459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4863527Z return mod(*inputs) 2025-09-07T08:35:28.4863698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T08:35:28.4863778Z x_feat = self.forward_features(x) 2025-09-07T08:35:28.4863974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T08:35:28.4864038Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T08:35:28.4864215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T08:35:28.4864300Z cur = self.factoratt_crpe(cur, size) 2025-09-07T08:35:28.4864478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T08:35:28.4864620Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T08:35:28.4864623Z 2025-09-07T08:35:28.4864697Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4864769Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4864849Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4864920Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4864998Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4865067Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4865164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:35:28.4865351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:35:28.4865412Z return mod(*inputs) 2025-09-07T08:35:28.4865595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 670, in forward 2025-09-07T08:35:28.4865669Z x = self.forward_head(x_feat) 2025-09-07T08:35:28.4865859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 661, in forward_head 2025-09-07T08:35:28.4865950Z return x if pre_logits else self.head(x) 2025-09-07T08:35:28.4865953Z 2025-09-07T08:35:28.4866025Z cudagraph partition due to non gpu ops 2025-09-07T08:35:28.4866104Z cudagraph partition due to non gpu ops 2025-09-07T08:35:57.9247979Z pass 2025-09-07T08:35:57.9248463Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:00.2008424Z /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. 2025-09-07T08:36:00.2009839Z import pynvml # type: ignore[import] 2025-09-07T08:36:02.3920374Z 2025-09-07T08:36:02.7305384Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:02.7305783Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:02.7306122Z cpu eval convmixer_768_32 2025-09-07T08:36:10.1011896Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:10.3677568Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:10.5039376Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:20.6935164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6935597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6935955Z return mod(*inputs) 2025-09-07T08:36:20.6936311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6937021Z x = self.forward_features(x) 2025-09-07T08:36:20.6937375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 87, in forward_features 2025-09-07T08:36:20.6937706Z x = self.stem(x) 2025-09-07T08:36:20.6937813Z 2025-09-07T08:36:20.6937916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6938265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6938572Z return mod(*inputs) 2025-09-07T08:36:20.6938870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6939185Z x = self.forward_features(x) 2025-09-07T08:36:20.6939508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 87, in forward_features 2025-09-07T08:36:20.6939831Z x = self.stem(x) 2025-09-07T08:36:20.6939924Z 2025-09-07T08:36:20.6940045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6940380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6940678Z return mod(*inputs) 2025-09-07T08:36:20.6940975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6941282Z x = self.forward_features(x) 2025-09-07T08:36:20.6941771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 87, in forward_features 2025-09-07T08:36:20.6942093Z x = self.stem(x) 2025-09-07T08:36:20.6942184Z 2025-09-07T08:36:20.6942289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6942617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6942919Z return mod(*inputs) 2025-09-07T08:36:20.6943208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6943525Z x = self.forward_features(x) 2025-09-07T08:36:20.6943844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 87, in forward_features 2025-09-07T08:36:20.6944156Z x = self.stem(x) 2025-09-07T08:36:20.6944260Z 2025-09-07T08:36:20.6944358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6944694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6944994Z return mod(*inputs) 2025-09-07T08:36:20.6945276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6945582Z x = self.forward_features(x) 2025-09-07T08:36:20.6946005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6946330Z x = self.blocks(x) 2025-09-07T08:36:20.6946731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6947046Z return self.fn(x) + x 2025-09-07T08:36:20.6947163Z 2025-09-07T08:36:20.6947262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6947600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6947910Z return mod(*inputs) 2025-09-07T08:36:20.6948195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6948515Z x = self.forward_features(x) 2025-09-07T08:36:20.6948931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6949253Z x = self.blocks(x) 2025-09-07T08:36:20.6949544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6949850Z return self.fn(x) + x 2025-09-07T08:36:20.6950036Z 2025-09-07T08:36:20.6950138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6950488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6950794Z return mod(*inputs) 2025-09-07T08:36:20.6951085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6951401Z x = self.forward_features(x) 2025-09-07T08:36:20.6951727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6952063Z x = self.blocks(x) 2025-09-07T08:36:20.6952370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6952681Z return self.fn(x) + x 2025-09-07T08:36:20.6952792Z 2025-09-07T08:36:20.6952895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6953244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6953550Z return mod(*inputs) 2025-09-07T08:36:20.6953850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6954163Z x = self.forward_features(x) 2025-09-07T08:36:20.6954491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6954832Z x = self.blocks(x) 2025-09-07T08:36:20.6954928Z 2025-09-07T08:36:20.6955036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6955377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6955686Z return mod(*inputs) 2025-09-07T08:36:20.6955983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6956307Z x = self.forward_features(x) 2025-09-07T08:36:20.6956640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6956967Z x = self.blocks(x) 2025-09-07T08:36:20.6957070Z 2025-09-07T08:36:20.6957170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6957512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6957815Z return mod(*inputs) 2025-09-07T08:36:20.6958106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6958425Z x = self.forward_features(x) 2025-09-07T08:36:20.6958754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6959112Z x = self.blocks(x) 2025-09-07T08:36:20.6959205Z 2025-09-07T08:36:20.6959310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6961245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6961551Z return mod(*inputs) 2025-09-07T08:36:20.6961838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6962148Z x = self.forward_features(x) 2025-09-07T08:36:20.6962458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6962788Z x = self.blocks(x) 2025-09-07T08:36:20.6963070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6963374Z return self.fn(x) + x 2025-09-07T08:36:20.6963473Z 2025-09-07T08:36:20.6963579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6963904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6964207Z return mod(*inputs) 2025-09-07T08:36:20.6964516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6964828Z x = self.forward_features(x) 2025-09-07T08:36:20.6965137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6965458Z x = self.blocks(x) 2025-09-07T08:36:20.6965740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6966045Z return self.fn(x) + x 2025-09-07T08:36:20.6966143Z 2025-09-07T08:36:20.6966245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6966572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6966876Z return mod(*inputs) 2025-09-07T08:36:20.6967162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6967473Z x = self.forward_features(x) 2025-09-07T08:36:20.6967786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6968115Z x = self.blocks(x) 2025-09-07T08:36:20.6968394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6968696Z return self.fn(x) + x 2025-09-07T08:36:20.6968796Z 2025-09-07T08:36:20.6968900Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6969222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6969521Z return mod(*inputs) 2025-09-07T08:36:20.6969803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6970116Z x = self.forward_features(x) 2025-09-07T08:36:20.6970428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6970749Z x = self.blocks(x) 2025-09-07T08:36:20.6970848Z 2025-09-07T08:36:20.6970943Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6971275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6971572Z return mod(*inputs) 2025-09-07T08:36:20.6971848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6972156Z x = self.forward_features(x) 2025-09-07T08:36:20.6972473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6972790Z x = self.blocks(x) 2025-09-07T08:36:20.6972905Z 2025-09-07T08:36:20.6973002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6973365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6973671Z return mod(*inputs) 2025-09-07T08:36:20.6973956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6974263Z x = self.forward_features(x) 2025-09-07T08:36:20.6974572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6974889Z x = self.blocks(x) 2025-09-07T08:36:20.6974988Z 2025-09-07T08:36:20.6975085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6975417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6975707Z return mod(*inputs) 2025-09-07T08:36:20.6975991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6976298Z x = self.forward_features(x) 2025-09-07T08:36:20.6976614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6976959Z x = self.blocks(x) 2025-09-07T08:36:20.6977245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6977556Z return self.fn(x) + x 2025-09-07T08:36:20.6977669Z 2025-09-07T08:36:20.6977769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6978111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6978411Z return mod(*inputs) 2025-09-07T08:36:20.6978706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6979022Z x = self.forward_features(x) 2025-09-07T08:36:20.6979353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6979683Z x = self.blocks(x) 2025-09-07T08:36:20.6979973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6980284Z return self.fn(x) + x 2025-09-07T08:36:20.6980396Z 2025-09-07T08:36:20.6980498Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6980836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6981138Z return mod(*inputs) 2025-09-07T08:36:20.6981434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6981753Z x = self.forward_features(x) 2025-09-07T08:36:20.6982082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6982415Z x = self.blocks(x) 2025-09-07T08:36:20.6982700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6983017Z return self.fn(x) + x 2025-09-07T08:36:20.6983130Z 2025-09-07T08:36:20.6983229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6983565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6983864Z return mod(*inputs) 2025-09-07T08:36:20.6984163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6984483Z x = self.forward_features(x) 2025-09-07T08:36:20.6984811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6985141Z x = self.blocks(x) 2025-09-07T08:36:20.6985238Z 2025-09-07T08:36:20.6985340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6985690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6985991Z return mod(*inputs) 2025-09-07T08:36:20.6986327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6986631Z x = self.forward_features(x) 2025-09-07T08:36:20.6986956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6987280Z x = self.blocks(x) 2025-09-07T08:36:20.6987373Z 2025-09-07T08:36:20.6987476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6987810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6988105Z return mod(*inputs) 2025-09-07T08:36:20.6988396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6988709Z x = self.forward_features(x) 2025-09-07T08:36:20.6989034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6989369Z x = self.blocks(x) 2025-09-07T08:36:20.6989469Z 2025-09-07T08:36:20.6989566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6989896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6990194Z return mod(*inputs) 2025-09-07T08:36:20.6990481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6990782Z x = self.forward_features(x) 2025-09-07T08:36:20.6991100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6991422Z x = self.blocks(x) 2025-09-07T08:36:20.6991703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6991999Z return self.fn(x) + x 2025-09-07T08:36:20.6992106Z 2025-09-07T08:36:20.6992202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6992540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6992840Z return mod(*inputs) 2025-09-07T08:36:20.6993129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6993431Z x = self.forward_features(x) 2025-09-07T08:36:20.6993755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6994077Z x = self.blocks(x) 2025-09-07T08:36:20.6994364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6994659Z return self.fn(x) + x 2025-09-07T08:36:20.6994767Z 2025-09-07T08:36:20.6994862Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6995194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6995509Z return mod(*inputs) 2025-09-07T08:36:20.6995802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6996107Z x = self.forward_features(x) 2025-09-07T08:36:20.6996427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6996751Z x = self.blocks(x) 2025-09-07T08:36:20.6997031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.6997328Z return self.fn(x) + x 2025-09-07T08:36:20.6997436Z 2025-09-07T08:36:20.6997531Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6997865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.6998181Z return mod(*inputs) 2025-09-07T08:36:20.6998497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.6998804Z x = self.forward_features(x) 2025-09-07T08:36:20.6999127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.6999449Z x = self.blocks(x) 2025-09-07T08:36:20.6999542Z 2025-09-07T08:36:20.6999646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.6999970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7000272Z return mod(*inputs) 2025-09-07T08:36:20.7000558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7000870Z x = self.forward_features(x) 2025-09-07T08:36:20.7001186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7001502Z x = self.blocks(x) 2025-09-07T08:36:20.7001599Z 2025-09-07T08:36:20.7001698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7002054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7002353Z return mod(*inputs) 2025-09-07T08:36:20.7002632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7002943Z x = self.forward_features(x) 2025-09-07T08:36:20.7003260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7003582Z x = self.blocks(x) 2025-09-07T08:36:20.7003675Z 2025-09-07T08:36:20.7003780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7004100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7004398Z return mod(*inputs) 2025-09-07T08:36:20.7004684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7004995Z x = self.forward_features(x) 2025-09-07T08:36:20.7005306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7005628Z x = self.blocks(x) 2025-09-07T08:36:20.7005909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7006211Z return self.fn(x) + x 2025-09-07T08:36:20.7006312Z 2025-09-07T08:36:20.7006416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7006736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7007037Z return mod(*inputs) 2025-09-07T08:36:20.7007323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7007637Z x = self.forward_features(x) 2025-09-07T08:36:20.7007955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7008283Z x = self.blocks(x) 2025-09-07T08:36:20.7008566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7008871Z return self.fn(x) + x 2025-09-07T08:36:20.7008970Z 2025-09-07T08:36:20.7009076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7009401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7009702Z return mod(*inputs) 2025-09-07T08:36:20.7009987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7010297Z x = self.forward_features(x) 2025-09-07T08:36:20.7010626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7010948Z x = self.blocks(x) 2025-09-07T08:36:20.7011261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7011568Z return self.fn(x) + x 2025-09-07T08:36:20.7011667Z 2025-09-07T08:36:20.7011772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7012097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7012398Z return mod(*inputs) 2025-09-07T08:36:20.7012687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7012995Z x = self.forward_features(x) 2025-09-07T08:36:20.7013305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7013634Z x = self.blocks(x) 2025-09-07T08:36:20.7013736Z 2025-09-07T08:36:20.7013834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7014173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7014493Z return mod(*inputs) 2025-09-07T08:36:20.7014771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7015078Z x = self.forward_features(x) 2025-09-07T08:36:20.7015402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7015727Z x = self.blocks(x) 2025-09-07T08:36:20.7015820Z 2025-09-07T08:36:20.7015916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7016248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7016550Z return mod(*inputs) 2025-09-07T08:36:20.7016836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7017139Z x = self.forward_features(x) 2025-09-07T08:36:20.7017454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7017775Z x = self.blocks(x) 2025-09-07T08:36:20.7017874Z 2025-09-07T08:36:20.7017971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7018299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7018587Z return mod(*inputs) 2025-09-07T08:36:20.7018871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7019182Z x = self.forward_features(x) 2025-09-07T08:36:20.7019502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7019828Z x = self.blocks(x) 2025-09-07T08:36:20.7020102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7020413Z return self.fn(x) + x 2025-09-07T08:36:20.7020520Z 2025-09-07T08:36:20.7020618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7020946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7021241Z return mod(*inputs) 2025-09-07T08:36:20.7021527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7021835Z x = self.forward_features(x) 2025-09-07T08:36:20.7022158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7022479Z x = self.blocks(x) 2025-09-07T08:36:20.7022755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7023077Z return self.fn(x) + x 2025-09-07T08:36:20.7023184Z 2025-09-07T08:36:20.7023282Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7023654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7023949Z return mod(*inputs) 2025-09-07T08:36:20.7024240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7024553Z x = self.forward_features(x) 2025-09-07T08:36:20.7024874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7025198Z x = self.blocks(x) 2025-09-07T08:36:20.7025473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7025782Z return self.fn(x) + x 2025-09-07T08:36:20.7025885Z 2025-09-07T08:36:20.7025983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7026316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7026633Z return mod(*inputs) 2025-09-07T08:36:20.7026924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7027233Z x = self.forward_features(x) 2025-09-07T08:36:20.7027555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7027881Z x = self.blocks(x) 2025-09-07T08:36:20.7027973Z 2025-09-07T08:36:20.7028068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7028405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7028707Z return mod(*inputs) 2025-09-07T08:36:20.7028994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7029297Z x = self.forward_features(x) 2025-09-07T08:36:20.7029622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7029945Z x = self.blocks(x) 2025-09-07T08:36:20.7030037Z 2025-09-07T08:36:20.7030139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7030473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7030766Z return mod(*inputs) 2025-09-07T08:36:20.7031054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7031361Z x = self.forward_features(x) 2025-09-07T08:36:20.7031680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7031991Z x = self.blocks(x) 2025-09-07T08:36:20.7032088Z 2025-09-07T08:36:20.7032187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7032518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7032823Z return mod(*inputs) 2025-09-07T08:36:20.7033108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7033415Z x = self.forward_features(x) 2025-09-07T08:36:20.7033734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7034056Z x = self.blocks(x) 2025-09-07T08:36:20.7034339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7034636Z return self.fn(x) + x 2025-09-07T08:36:20.7034742Z 2025-09-07T08:36:20.7034842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7035171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7035497Z return mod(*inputs) 2025-09-07T08:36:20.7035816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7036127Z x = self.forward_features(x) 2025-09-07T08:36:20.7036457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7036793Z x = self.blocks(x) 2025-09-07T08:36:20.7037085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7037391Z return self.fn(x) + x 2025-09-07T08:36:20.7037502Z 2025-09-07T08:36:20.7037602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7037943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7038252Z return mod(*inputs) 2025-09-07T08:36:20.7038547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7038859Z x = self.forward_features(x) 2025-09-07T08:36:20.7039198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7039538Z x = self.blocks(x) 2025-09-07T08:36:20.7039821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7040115Z return self.fn(x) + x 2025-09-07T08:36:20.7040219Z 2025-09-07T08:36:20.7040315Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7040642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7040941Z return mod(*inputs) 2025-09-07T08:36:20.7041224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7041523Z x = self.forward_features(x) 2025-09-07T08:36:20.7041840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7042163Z x = self.blocks(x) 2025-09-07T08:36:20.7042258Z 2025-09-07T08:36:20.7042360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7042680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7042977Z return mod(*inputs) 2025-09-07T08:36:20.7043262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7043573Z x = self.forward_features(x) 2025-09-07T08:36:20.7043884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7044199Z x = self.blocks(x) 2025-09-07T08:36:20.7044297Z 2025-09-07T08:36:20.7044391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7044720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7045021Z return mod(*inputs) 2025-09-07T08:36:20.7045302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7045613Z x = self.forward_features(x) 2025-09-07T08:36:20.7045928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7046251Z x = self.blocks(x) 2025-09-07T08:36:20.7046342Z 2025-09-07T08:36:20.7046444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7046764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7047063Z return mod(*inputs) 2025-09-07T08:36:20.7047349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7047660Z x = self.forward_features(x) 2025-09-07T08:36:20.7047991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7048316Z x = self.blocks(x) 2025-09-07T08:36:20.7048632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7048992Z return self.fn(x) + x 2025-09-07T08:36:20.7049093Z 2025-09-07T08:36:20.7049199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7049531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7049838Z return mod(*inputs) 2025-09-07T08:36:20.7050136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7050457Z x = self.forward_features(x) 2025-09-07T08:36:20.7050773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7051105Z x = self.blocks(x) 2025-09-07T08:36:20.7051392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7052213Z return self.fn(x) + x 2025-09-07T08:36:20.7052314Z 2025-09-07T08:36:20.7052423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7052750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7053055Z return mod(*inputs) 2025-09-07T08:36:20.7053341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7053653Z x = self.forward_features(x) 2025-09-07T08:36:20.7053969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7054292Z x = self.blocks(x) 2025-09-07T08:36:20.7054574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7054879Z return self.fn(x) + x 2025-09-07T08:36:20.7054977Z 2025-09-07T08:36:20.7055087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7055411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7055712Z return mod(*inputs) 2025-09-07T08:36:20.7055996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7056303Z x = self.forward_features(x) 2025-09-07T08:36:20.7056613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7056936Z x = self.blocks(x) 2025-09-07T08:36:20.7057035Z 2025-09-07T08:36:20.7057130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7057465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7057771Z return mod(*inputs) 2025-09-07T08:36:20.7058047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7058358Z x = self.forward_features(x) 2025-09-07T08:36:20.7058680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7059001Z x = self.blocks(x) 2025-09-07T08:36:20.7059095Z 2025-09-07T08:36:20.7059193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7059526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7059823Z return mod(*inputs) 2025-09-07T08:36:20.7060107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7060416Z x = self.forward_features(x) 2025-09-07T08:36:20.7060726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7061078Z x = self.blocks(x) 2025-09-07T08:36:20.7061181Z 2025-09-07T08:36:20.7061322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7061659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7061955Z return mod(*inputs) 2025-09-07T08:36:20.7062239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7062550Z x = self.forward_features(x) 2025-09-07T08:36:20.7062874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7063198Z x = self.blocks(x) 2025-09-07T08:36:20.7063476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7063784Z return self.fn(x) + x 2025-09-07T08:36:20.7063892Z 2025-09-07T08:36:20.7063991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7064323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7064635Z return mod(*inputs) 2025-09-07T08:36:20.7064922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7065235Z x = self.forward_features(x) 2025-09-07T08:36:20.7065558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7065880Z x = self.blocks(x) 2025-09-07T08:36:20.7066158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7066468Z return self.fn(x) + x 2025-09-07T08:36:20.7066573Z 2025-09-07T08:36:20.7066669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7066997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7067295Z return mod(*inputs) 2025-09-07T08:36:20.7067586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7067903Z x = self.forward_features(x) 2025-09-07T08:36:20.7068224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7068548Z x = self.blocks(x) 2025-09-07T08:36:20.7068825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7069131Z return self.fn(x) + x 2025-09-07T08:36:20.7069237Z 2025-09-07T08:36:20.7069335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7069665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7069956Z return mod(*inputs) 2025-09-07T08:36:20.7070241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7070552Z x = self.forward_features(x) 2025-09-07T08:36:20.7070874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7071198Z x = self.blocks(x) 2025-09-07T08:36:20.7071289Z 2025-09-07T08:36:20.7071386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7071716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7072015Z return mod(*inputs) 2025-09-07T08:36:20.7072299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7072603Z x = self.forward_features(x) 2025-09-07T08:36:20.7072922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7073247Z x = self.blocks(x) 2025-09-07T08:36:20.7073356Z 2025-09-07T08:36:20.7073461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7073822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7074122Z return mod(*inputs) 2025-09-07T08:36:20.7074410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7074720Z x = self.forward_features(x) 2025-09-07T08:36:20.7075043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7075361Z x = self.blocks(x) 2025-09-07T08:36:20.7075460Z 2025-09-07T08:36:20.7075557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7075895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7076195Z return mod(*inputs) 2025-09-07T08:36:20.7076483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7076793Z x = self.forward_features(x) 2025-09-07T08:36:20.7077120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7077497Z x = self.blocks(x) 2025-09-07T08:36:20.7077785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7078084Z return self.fn(x) + x 2025-09-07T08:36:20.7078196Z 2025-09-07T08:36:20.7078294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7078631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7078934Z return mod(*inputs) 2025-09-07T08:36:20.7079219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7079525Z x = self.forward_features(x) 2025-09-07T08:36:20.7079845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7080170Z x = self.blocks(x) 2025-09-07T08:36:20.7080456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7080755Z return self.fn(x) + x 2025-09-07T08:36:20.7080862Z 2025-09-07T08:36:20.7080958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7081289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7081590Z return mod(*inputs) 2025-09-07T08:36:20.7081877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7082182Z x = self.forward_features(x) 2025-09-07T08:36:20.7082504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7082831Z x = self.blocks(x) 2025-09-07T08:36:20.7083114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7083413Z return self.fn(x) + x 2025-09-07T08:36:20.7083524Z 2025-09-07T08:36:20.7083621Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7083958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7084256Z return mod(*inputs) 2025-09-07T08:36:20.7084541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7084841Z x = self.forward_features(x) 2025-09-07T08:36:20.7085160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7085477Z x = self.blocks(x) 2025-09-07T08:36:20.7085568Z 2025-09-07T08:36:20.7085671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7086009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7086332Z return mod(*inputs) 2025-09-07T08:36:20.7086619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7086926Z x = self.forward_features(x) 2025-09-07T08:36:20.7087249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7087563Z x = self.blocks(x) 2025-09-07T08:36:20.7087664Z 2025-09-07T08:36:20.7087758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7088091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7088391Z return mod(*inputs) 2025-09-07T08:36:20.7088669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7088979Z x = self.forward_features(x) 2025-09-07T08:36:20.7089302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7089643Z x = self.blocks(x) 2025-09-07T08:36:20.7089735Z 2025-09-07T08:36:20.7089838Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7090163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7090462Z return mod(*inputs) 2025-09-07T08:36:20.7090750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7091062Z x = self.forward_features(x) 2025-09-07T08:36:20.7091375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7091707Z x = self.blocks(x) 2025-09-07T08:36:20.7091989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7092297Z return self.fn(x) + x 2025-09-07T08:36:20.7092396Z 2025-09-07T08:36:20.7092506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7092833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7093132Z return mod(*inputs) 2025-09-07T08:36:20.7093423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7093732Z x = self.forward_features(x) 2025-09-07T08:36:20.7094047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7094369Z x = self.blocks(x) 2025-09-07T08:36:20.7094654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7094959Z return self.fn(x) + x 2025-09-07T08:36:20.7095058Z 2025-09-07T08:36:20.7095166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7095496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7095804Z return mod(*inputs) 2025-09-07T08:36:20.7096092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7096398Z x = self.forward_features(x) 2025-09-07T08:36:20.7096711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7097035Z x = self.blocks(x) 2025-09-07T08:36:20.7097319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7097635Z return self.fn(x) + x 2025-09-07T08:36:20.7097733Z 2025-09-07T08:36:20.7097841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7098170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7098487Z return mod(*inputs) 2025-09-07T08:36:20.7098805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7099116Z x = self.forward_features(x) 2025-09-07T08:36:20.7099432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7099757Z x = self.blocks(x) 2025-09-07T08:36:20.7099858Z 2025-09-07T08:36:20.7099955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7100288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7100590Z return mod(*inputs) 2025-09-07T08:36:20.7100872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7101189Z x = self.forward_features(x) 2025-09-07T08:36:20.7101513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7101843Z x = self.blocks(x) 2025-09-07T08:36:20.7101955Z 2025-09-07T08:36:20.7102053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7102384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7102683Z return mod(*inputs) 2025-09-07T08:36:20.7102969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7103279Z x = self.forward_features(x) 2025-09-07T08:36:20.7103591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7103912Z x = self.blocks(x) 2025-09-07T08:36:20.7104012Z 2025-09-07T08:36:20.7104108Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7104443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7104740Z return mod(*inputs) 2025-09-07T08:36:20.7105028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7105348Z x = self.forward_features(x) 2025-09-07T08:36:20.7105668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7105990Z x = self.blocks(x) 2025-09-07T08:36:20.7106264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7106569Z return self.fn(x) + x 2025-09-07T08:36:20.7106677Z 2025-09-07T08:36:20.7106772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7107102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7107393Z return mod(*inputs) 2025-09-07T08:36:20.7107680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7107992Z x = self.forward_features(x) 2025-09-07T08:36:20.7108320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7108646Z x = self.blocks(x) 2025-09-07T08:36:20.7108917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7109224Z return self.fn(x) + x 2025-09-07T08:36:20.7109331Z 2025-09-07T08:36:20.7109428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7109756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7110045Z return mod(*inputs) 2025-09-07T08:36:20.7110330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7110642Z x = self.forward_features(x) 2025-09-07T08:36:20.7110981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7111332Z x = self.blocks(x) 2025-09-07T08:36:20.7111607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7111907Z return self.fn(x) + x 2025-09-07T08:36:20.7112011Z 2025-09-07T08:36:20.7112105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7112433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7112724Z return mod(*inputs) 2025-09-07T08:36:20.7113010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7113320Z x = self.forward_features(x) 2025-09-07T08:36:20.7113635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7113958Z x = self.blocks(x) 2025-09-07T08:36:20.7114050Z 2025-09-07T08:36:20.7114145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7114497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7114796Z return mod(*inputs) 2025-09-07T08:36:20.7115081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7115386Z x = self.forward_features(x) 2025-09-07T08:36:20.7115711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7116031Z x = self.blocks(x) 2025-09-07T08:36:20.7116122Z 2025-09-07T08:36:20.7116228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7116560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7116853Z return mod(*inputs) 2025-09-07T08:36:20.7117139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7117450Z x = self.forward_features(x) 2025-09-07T08:36:20.7117775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7118092Z x = self.blocks(x) 2025-09-07T08:36:20.7118195Z 2025-09-07T08:36:20.7118291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7118621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7118921Z return mod(*inputs) 2025-09-07T08:36:20.7119207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7119507Z x = self.forward_features(x) 2025-09-07T08:36:20.7119824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7120145Z x = self.blocks(x) 2025-09-07T08:36:20.7120427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7120723Z return self.fn(x) + x 2025-09-07T08:36:20.7120833Z 2025-09-07T08:36:20.7120932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7121267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7121564Z return mod(*inputs) 2025-09-07T08:36:20.7121848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7122152Z x = self.forward_features(x) 2025-09-07T08:36:20.7122472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7122790Z x = self.blocks(x) 2025-09-07T08:36:20.7123072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7123382Z return self.fn(x) + x 2025-09-07T08:36:20.7123492Z 2025-09-07T08:36:20.7123628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7123969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7124269Z return mod(*inputs) 2025-09-07T08:36:20.7124556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7124859Z x = self.forward_features(x) 2025-09-07T08:36:20.7125176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7125498Z x = self.blocks(x) 2025-09-07T08:36:20.7125778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7126078Z return self.fn(x) + x 2025-09-07T08:36:20.7126184Z 2025-09-07T08:36:20.7126281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7126614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7126931Z return mod(*inputs) 2025-09-07T08:36:20.7127218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7127520Z x = self.forward_features(x) 2025-09-07T08:36:20.7127840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7128160Z x = self.blocks(x) 2025-09-07T08:36:20.7128253Z 2025-09-07T08:36:20.7128357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7128679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7128982Z return mod(*inputs) 2025-09-07T08:36:20.7129268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7129579Z x = self.forward_features(x) 2025-09-07T08:36:20.7129900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7130218Z x = self.blocks(x) 2025-09-07T08:36:20.7130319Z 2025-09-07T08:36:20.7130415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7130743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7131043Z return mod(*inputs) 2025-09-07T08:36:20.7131326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7131643Z x = self.forward_features(x) 2025-09-07T08:36:20.7131966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7132292Z x = self.blocks(x) 2025-09-07T08:36:20.7132387Z 2025-09-07T08:36:20.7132493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7132820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7133123Z return mod(*inputs) 2025-09-07T08:36:20.7133413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7133723Z x = self.forward_features(x) 2025-09-07T08:36:20.7134038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7134363Z x = self.blocks(x) 2025-09-07T08:36:20.7134648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7134955Z return self.fn(x) + x 2025-09-07T08:36:20.7135056Z 2025-09-07T08:36:20.7135161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7135485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7135825Z return mod(*inputs) 2025-09-07T08:36:20.7136146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7136460Z x = self.forward_features(x) 2025-09-07T08:36:20.7136772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7137093Z x = self.blocks(x) 2025-09-07T08:36:20.7137377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7137685Z return self.fn(x) + x 2025-09-07T08:36:20.7137786Z 2025-09-07T08:36:20.7137892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7138214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7138516Z return mod(*inputs) 2025-09-07T08:36:20.7138803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7139105Z x = self.forward_features(x) 2025-09-07T08:36:20.7139436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7139753Z x = self.blocks(x) 2025-09-07T08:36:20.7140033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7140336Z return self.fn(x) + x 2025-09-07T08:36:20.7140432Z 2025-09-07T08:36:20.7140538Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7140862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7141159Z return mod(*inputs) 2025-09-07T08:36:20.7141445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7141754Z x = self.forward_features(x) 2025-09-07T08:36:20.7142066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7142391Z x = self.blocks(x) 2025-09-07T08:36:20.7142491Z 2025-09-07T08:36:20.7142588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7142917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7143223Z return mod(*inputs) 2025-09-07T08:36:20.7143500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7143807Z x = self.forward_features(x) 2025-09-07T08:36:20.7144126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7144449Z x = self.blocks(x) 2025-09-07T08:36:20.7144542Z 2025-09-07T08:36:20.7144636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7144969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7145267Z return mod(*inputs) 2025-09-07T08:36:20.7145562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7145873Z x = self.forward_features(x) 2025-09-07T08:36:20.7146185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7146506Z x = self.blocks(x) 2025-09-07T08:36:20.7146607Z 2025-09-07T08:36:20.7146706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7147031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7147321Z return mod(*inputs) 2025-09-07T08:36:20.7147610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7147932Z x = self.forward_features(x) 2025-09-07T08:36:20.7148257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7148629Z x = self.blocks(x) 2025-09-07T08:36:20.7148942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7149251Z return self.fn(x) + x 2025-09-07T08:36:20.7149359Z 2025-09-07T08:36:20.7149455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7149786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7150081Z return mod(*inputs) 2025-09-07T08:36:20.7150369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7150679Z x = self.forward_features(x) 2025-09-07T08:36:20.7150998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7151327Z x = self.blocks(x) 2025-09-07T08:36:20.7151607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7151952Z return self.fn(x) + x 2025-09-07T08:36:20.7152058Z 2025-09-07T08:36:20.7152344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7152686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7153000Z return mod(*inputs) 2025-09-07T08:36:20.7153283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7153594Z x = self.forward_features(x) 2025-09-07T08:36:20.7153917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7154245Z x = self.blocks(x) 2025-09-07T08:36:20.7154526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7154841Z return self.fn(x) + x 2025-09-07T08:36:20.7154950Z 2025-09-07T08:36:20.7155051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7155398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7155703Z return mod(*inputs) 2025-09-07T08:36:20.7155987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7156305Z x = self.forward_features(x) 2025-09-07T08:36:20.7156629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7156956Z x = self.blocks(x) 2025-09-07T08:36:20.7157051Z 2025-09-07T08:36:20.7157148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7157488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7157796Z return mod(*inputs) 2025-09-07T08:36:20.7158095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7158415Z x = self.forward_features(x) 2025-09-07T08:36:20.7158734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7159061Z x = self.blocks(x) 2025-09-07T08:36:20.7159159Z 2025-09-07T08:36:20.7159267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7159616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7159919Z return mod(*inputs) 2025-09-07T08:36:20.7160217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7160535Z x = self.forward_features(x) 2025-09-07T08:36:20.7160865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7161219Z x = self.blocks(x) 2025-09-07T08:36:20.7161313Z 2025-09-07T08:36:20.7161454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7161794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7162092Z return mod(*inputs) 2025-09-07T08:36:20.7162378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7162679Z x = self.forward_features(x) 2025-09-07T08:36:20.7163001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7163323Z x = self.blocks(x) 2025-09-07T08:36:20.7163608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7163912Z return self.fn(x) + x 2025-09-07T08:36:20.7164015Z 2025-09-07T08:36:20.7164113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7164447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7164761Z return mod(*inputs) 2025-09-07T08:36:20.7165050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7165350Z x = self.forward_features(x) 2025-09-07T08:36:20.7165667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7165988Z x = self.blocks(x) 2025-09-07T08:36:20.7166267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7166565Z return self.fn(x) + x 2025-09-07T08:36:20.7166661Z 2025-09-07T08:36:20.7166757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7167087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7167388Z return mod(*inputs) 2025-09-07T08:36:20.7167671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7167972Z x = self.forward_features(x) 2025-09-07T08:36:20.7168285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7168599Z x = self.blocks(x) 2025-09-07T08:36:20.7168877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7169175Z return self.fn(x) + x 2025-09-07T08:36:20.7169274Z 2025-09-07T08:36:20.7169370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7169701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7169997Z return mod(*inputs) 2025-09-07T08:36:20.7170278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7170577Z x = self.forward_features(x) 2025-09-07T08:36:20.7170899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7171218Z x = self.blocks(x) 2025-09-07T08:36:20.7171312Z 2025-09-07T08:36:20.7171417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7171743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7172032Z return mod(*inputs) 2025-09-07T08:36:20.7172320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7172628Z x = self.forward_features(x) 2025-09-07T08:36:20.7172949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7173280Z x = self.blocks(x) 2025-09-07T08:36:20.7173383Z 2025-09-07T08:36:20.7173480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7173858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7174162Z return mod(*inputs) 2025-09-07T08:36:20.7174445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7174746Z x = self.forward_features(x) 2025-09-07T08:36:20.7175065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7175387Z x = self.blocks(x) 2025-09-07T08:36:20.7175479Z 2025-09-07T08:36:20.7175583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7175914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7176214Z return mod(*inputs) 2025-09-07T08:36:20.7176505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7176817Z x = self.forward_features(x) 2025-09-07T08:36:20.7177158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7177471Z x = self.blocks(x) 2025-09-07T08:36:20.7177753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7178062Z return self.fn(x) + x 2025-09-07T08:36:20.7178159Z 2025-09-07T08:36:20.7178261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7178582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7178879Z return mod(*inputs) 2025-09-07T08:36:20.7179162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7179472Z x = self.forward_features(x) 2025-09-07T08:36:20.7179795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7180114Z x = self.blocks(x) 2025-09-07T08:36:20.7180393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7180696Z return self.fn(x) + x 2025-09-07T08:36:20.7180794Z 2025-09-07T08:36:20.7180898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7181220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7181523Z return mod(*inputs) 2025-09-07T08:36:20.7181807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7182117Z x = self.forward_features(x) 2025-09-07T08:36:20.7182434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7182750Z x = self.blocks(x) 2025-09-07T08:36:20.7183033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7183339Z return self.fn(x) + x 2025-09-07T08:36:20.7183437Z 2025-09-07T08:36:20.7183541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7183865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7184167Z return mod(*inputs) 2025-09-07T08:36:20.7184451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7184761Z x = self.forward_features(x) 2025-09-07T08:36:20.7185082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7185393Z x = self.blocks(x) 2025-09-07T08:36:20.7185495Z 2025-09-07T08:36:20.7185609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7185944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7186280Z return mod(*inputs) 2025-09-07T08:36:20.7186564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7186876Z x = self.forward_features(x) 2025-09-07T08:36:20.7187196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7187515Z x = self.blocks(x) 2025-09-07T08:36:20.7187608Z 2025-09-07T08:36:20.7187714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7188033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7188335Z return mod(*inputs) 2025-09-07T08:36:20.7188621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7188929Z x = self.forward_features(x) 2025-09-07T08:36:20.7189243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7189584Z x = self.blocks(x) 2025-09-07T08:36:20.7189683Z 2025-09-07T08:36:20.7189779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7190112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7190411Z return mod(*inputs) 2025-09-07T08:36:20.7190689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7190999Z x = self.forward_features(x) 2025-09-07T08:36:20.7191319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7191642Z x = self.blocks(x) 2025-09-07T08:36:20.7191915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7192224Z return self.fn(x) + x 2025-09-07T08:36:20.7192332Z 2025-09-07T08:36:20.7192432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7192764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7193059Z return mod(*inputs) 2025-09-07T08:36:20.7193338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7193646Z x = self.forward_features(x) 2025-09-07T08:36:20.7193967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7194288Z x = self.blocks(x) 2025-09-07T08:36:20.7194560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7194861Z return self.fn(x) + x 2025-09-07T08:36:20.7194964Z 2025-09-07T08:36:20.7195061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7195394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7195691Z return mod(*inputs) 2025-09-07T08:36:20.7195973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7196280Z x = self.forward_features(x) 2025-09-07T08:36:20.7196601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7196920Z x = self.blocks(x) 2025-09-07T08:36:20.7197193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7197494Z return self.fn(x) + x 2025-09-07T08:36:20.7197600Z 2025-09-07T08:36:20.7197695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7198023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7198343Z return mod(*inputs) 2025-09-07T08:36:20.7198645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7198954Z x = self.forward_features(x) 2025-09-07T08:36:20.7199273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7199595Z x = self.blocks(x) 2025-09-07T08:36:20.7199689Z 2025-09-07T08:36:20.7199785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7200118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7200422Z return mod(*inputs) 2025-09-07T08:36:20.7200707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7201017Z x = self.forward_features(x) 2025-09-07T08:36:20.7201330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7201657Z x = self.blocks(x) 2025-09-07T08:36:20.7201790Z 2025-09-07T08:36:20.7201893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7202223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7202517Z return mod(*inputs) 2025-09-07T08:36:20.7202811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7203127Z x = self.forward_features(x) 2025-09-07T08:36:20.7203448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7203769Z x = self.blocks(x) 2025-09-07T08:36:20.7203862Z 2025-09-07T08:36:20.7203961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7204298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7204598Z return mod(*inputs) 2025-09-07T08:36:20.7204892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7205202Z x = self.forward_features(x) 2025-09-07T08:36:20.7205523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7205843Z x = self.blocks(x) 2025-09-07T08:36:20.7206124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7206424Z return self.fn(x) + x 2025-09-07T08:36:20.7206523Z 2025-09-07T08:36:20.7206619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7206952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7207248Z return mod(*inputs) 2025-09-07T08:36:20.7207533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7207834Z x = self.forward_features(x) 2025-09-07T08:36:20.7208157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7208476Z x = self.blocks(x) 2025-09-07T08:36:20.7208759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7209057Z return self.fn(x) + x 2025-09-07T08:36:20.7209155Z 2025-09-07T08:36:20.7209251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7209577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7209876Z return mod(*inputs) 2025-09-07T08:36:20.7210164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7210482Z x = self.forward_features(x) 2025-09-07T08:36:20.7210801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7211150Z x = self.blocks(x) 2025-09-07T08:36:20.7211436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7211740Z return self.fn(x) + x 2025-09-07T08:36:20.7211840Z 2025-09-07T08:36:20.7211936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7212273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7212575Z return mod(*inputs) 2025-09-07T08:36:20.7212861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7213163Z x = self.forward_features(x) 2025-09-07T08:36:20.7213487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7213811Z x = self.blocks(x) 2025-09-07T08:36:20.7213905Z 2025-09-07T08:36:20.7214019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7214372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7214667Z return mod(*inputs) 2025-09-07T08:36:20.7214951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7215258Z x = self.forward_features(x) 2025-09-07T08:36:20.7215576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7215889Z x = self.blocks(x) 2025-09-07T08:36:20.7215992Z 2025-09-07T08:36:20.7216086Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7216420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7216722Z return mod(*inputs) 2025-09-07T08:36:20.7217013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7217319Z x = self.forward_features(x) 2025-09-07T08:36:20.7217643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7217959Z x = self.blocks(x) 2025-09-07T08:36:20.7218051Z 2025-09-07T08:36:20.7218154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7218475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7218775Z return mod(*inputs) 2025-09-07T08:36:20.7219060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7219366Z x = self.forward_features(x) 2025-09-07T08:36:20.7219680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7219994Z x = self.blocks(x) 2025-09-07T08:36:20.7220276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7220581Z return self.fn(x) + x 2025-09-07T08:36:20.7220678Z 2025-09-07T08:36:20.7220784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7221105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7221402Z return mod(*inputs) 2025-09-07T08:36:20.7221686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7221991Z x = self.forward_features(x) 2025-09-07T08:36:20.7222306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7222619Z x = self.blocks(x) 2025-09-07T08:36:20.7222901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7223233Z return self.fn(x) + x 2025-09-07T08:36:20.7223331Z 2025-09-07T08:36:20.7223466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7223789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7224084Z return mod(*inputs) 2025-09-07T08:36:20.7224367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7224673Z x = self.forward_features(x) 2025-09-07T08:36:20.7224993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7225310Z x = self.blocks(x) 2025-09-07T08:36:20.7225593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7225897Z return self.fn(x) + x 2025-09-07T08:36:20.7225998Z 2025-09-07T08:36:20.7226103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7226431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7226750Z return mod(*inputs) 2025-09-07T08:36:20.7227035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7227347Z x = self.forward_features(x) 2025-09-07T08:36:20.7227670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7227983Z x = self.blocks(x) 2025-09-07T08:36:20.7228084Z 2025-09-07T08:36:20.7228180Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7228509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7228813Z return mod(*inputs) 2025-09-07T08:36:20.7229089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7229402Z x = self.forward_features(x) 2025-09-07T08:36:20.7229726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7230054Z x = self.blocks(x) 2025-09-07T08:36:20.7230145Z 2025-09-07T08:36:20.7230248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7230573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7230872Z return mod(*inputs) 2025-09-07T08:36:20.7231156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7231466Z x = self.forward_features(x) 2025-09-07T08:36:20.7231776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7232097Z x = self.blocks(x) 2025-09-07T08:36:20.7232202Z 2025-09-07T08:36:20.7232299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7232632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7232930Z return mod(*inputs) 2025-09-07T08:36:20.7233206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7233511Z x = self.forward_features(x) 2025-09-07T08:36:20.7233825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7234142Z x = self.blocks(x) 2025-09-07T08:36:20.7234414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7234715Z return self.fn(x) + x 2025-09-07T08:36:20.7234819Z 2025-09-07T08:36:20.7234914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7235259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7235558Z return mod(*inputs) 2025-09-07T08:36:20.7235862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7236169Z x = self.forward_features(x) 2025-09-07T08:36:20.7236485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7236804Z x = self.blocks(x) 2025-09-07T08:36:20.7237074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7237374Z return self.fn(x) + x 2025-09-07T08:36:20.7237480Z 2025-09-07T08:36:20.7237576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7237906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7238206Z return mod(*inputs) 2025-09-07T08:36:20.7238486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7238795Z x = self.forward_features(x) 2025-09-07T08:36:20.7239143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7239467Z x = self.blocks(x) 2025-09-07T08:36:20.7239747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7240053Z return self.fn(x) + x 2025-09-07T08:36:20.7240161Z 2025-09-07T08:36:20.7240257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7240591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7240895Z return mod(*inputs) 2025-09-07T08:36:20.7241176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7241490Z x = self.forward_features(x) 2025-09-07T08:36:20.7241815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7242139Z x = self.blocks(x) 2025-09-07T08:36:20.7242231Z 2025-09-07T08:36:20.7242327Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7242662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7242962Z return mod(*inputs) 2025-09-07T08:36:20.7243151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7243227Z x = self.forward_features(x) 2025-09-07T08:36:20.7243435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7243502Z x = self.blocks(x) 2025-09-07T08:36:20.7243505Z 2025-09-07T08:36:20.7243602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7243788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7243860Z return mod(*inputs) 2025-09-07T08:36:20.7244048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7244121Z x = self.forward_features(x) 2025-09-07T08:36:20.7244327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7244388Z x = self.blocks(x) 2025-09-07T08:36:20.7244398Z 2025-09-07T08:36:20.7244496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7244678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7244749Z return mod(*inputs) 2025-09-07T08:36:20.7244936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7245029Z x = self.forward_features(x) 2025-09-07T08:36:20.7245259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7245321Z x = self.blocks(x) 2025-09-07T08:36:20.7245517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7245581Z return self.fn(x) + x 2025-09-07T08:36:20.7245585Z 2025-09-07T08:36:20.7245687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7245867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7245930Z return mod(*inputs) 2025-09-07T08:36:20.7246121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7246185Z x = self.forward_features(x) 2025-09-07T08:36:20.7246394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7246456Z x = self.blocks(x) 2025-09-07T08:36:20.7246644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7246734Z return self.fn(x) + x 2025-09-07T08:36:20.7246738Z 2025-09-07T08:36:20.7246831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7247017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7247077Z return mod(*inputs) 2025-09-07T08:36:20.7247269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7247335Z x = self.forward_features(x) 2025-09-07T08:36:20.7247534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7247601Z x = self.blocks(x) 2025-09-07T08:36:20.7247785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7247856Z return self.fn(x) + x 2025-09-07T08:36:20.7247860Z 2025-09-07T08:36:20.7247958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7248137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7248211Z return mod(*inputs) 2025-09-07T08:36:20.7248392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7248465Z x = self.forward_features(x) 2025-09-07T08:36:20.7248671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7248732Z x = self.blocks(x) 2025-09-07T08:36:20.7248735Z 2025-09-07T08:36:20.7248872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7249053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7249126Z return mod(*inputs) 2025-09-07T08:36:20.7249313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7249379Z x = self.forward_features(x) 2025-09-07T08:36:20.7249592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7249651Z x = self.blocks(x) 2025-09-07T08:36:20.7249654Z 2025-09-07T08:36:20.7249757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7249938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7250006Z return mod(*inputs) 2025-09-07T08:36:20.7250189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7250255Z x = self.forward_features(x) 2025-09-07T08:36:20.7250508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7250568Z x = self.blocks(x) 2025-09-07T08:36:20.7250573Z 2025-09-07T08:36:20.7250718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7250900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7250961Z return mod(*inputs) 2025-09-07T08:36:20.7251153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7251218Z x = self.forward_features(x) 2025-09-07T08:36:20.7251429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7251488Z x = self.blocks(x) 2025-09-07T08:36:20.7251670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7251742Z return self.fn(x) + x 2025-09-07T08:36:20.7251746Z 2025-09-07T08:36:20.7251843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7252034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7252130Z return mod(*inputs) 2025-09-07T08:36:20.7252315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7252391Z x = self.forward_features(x) 2025-09-07T08:36:20.7252592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7252660Z x = self.blocks(x) 2025-09-07T08:36:20.7252843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7252915Z return self.fn(x) + x 2025-09-07T08:36:20.7252918Z 2025-09-07T08:36:20.7253013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7253196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7253268Z return mod(*inputs) 2025-09-07T08:36:20.7253454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7253530Z x = self.forward_features(x) 2025-09-07T08:36:20.7253731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7253790Z x = self.blocks(x) 2025-09-07T08:36:20.7253981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7254043Z return self.fn(x) + x 2025-09-07T08:36:20.7254046Z 2025-09-07T08:36:20.7254150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7254329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7254391Z return mod(*inputs) 2025-09-07T08:36:20.7254586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7254654Z x = self.forward_features(x) 2025-09-07T08:36:20.7254865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7254923Z x = self.blocks(x) 2025-09-07T08:36:20.7254926Z 2025-09-07T08:36:20.7255030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7255208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7255270Z return mod(*inputs) 2025-09-07T08:36:20.7255460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7255526Z x = self.forward_features(x) 2025-09-07T08:36:20.7255735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7255811Z x = self.blocks(x) 2025-09-07T08:36:20.7255813Z 2025-09-07T08:36:20.7255908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7256126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7256189Z return mod(*inputs) 2025-09-07T08:36:20.7256378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7256444Z x = self.forward_features(x) 2025-09-07T08:36:20.7256645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7256715Z x = self.blocks(x) 2025-09-07T08:36:20.7256718Z 2025-09-07T08:36:20.7256812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7257003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7257067Z return mod(*inputs) 2025-09-07T08:36:20.7257255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7257346Z x = self.forward_features(x) 2025-09-07T08:36:20.7257551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7257618Z x = self.blocks(x) 2025-09-07T08:36:20.7257801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7257872Z return self.fn(x) + x 2025-09-07T08:36:20.7257875Z 2025-09-07T08:36:20.7257969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7258146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7258217Z return mod(*inputs) 2025-09-07T08:36:20.7258402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7258479Z x = self.forward_features(x) 2025-09-07T08:36:20.7258687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7258749Z x = self.blocks(x) 2025-09-07T08:36:20.7258939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7258999Z return self.fn(x) + x 2025-09-07T08:36:20.7259002Z 2025-09-07T08:36:20.7259103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7259284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7259344Z return mod(*inputs) 2025-09-07T08:36:20.7259538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7259604Z x = self.forward_features(x) 2025-09-07T08:36:20.7259818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7259883Z x = self.blocks(x) 2025-09-07T08:36:20.7260069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7260141Z return self.fn(x) + x 2025-09-07T08:36:20.7260144Z 2025-09-07T08:36:20.7260241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7260430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7260491Z return mod(*inputs) 2025-09-07T08:36:20.7260681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7260747Z x = self.forward_features(x) 2025-09-07T08:36:20.7260954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7261022Z x = self.blocks(x) 2025-09-07T08:36:20.7261040Z 2025-09-07T08:36:20.7261138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7261349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7261414Z return mod(*inputs) 2025-09-07T08:36:20.7261602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7261681Z x = self.forward_features(x) 2025-09-07T08:36:20.7261882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7261949Z x = self.blocks(x) 2025-09-07T08:36:20.7261952Z 2025-09-07T08:36:20.7262047Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7262226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7262296Z return mod(*inputs) 2025-09-07T08:36:20.7262478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7262555Z x = self.forward_features(x) 2025-09-07T08:36:20.7262762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7262846Z x = self.blocks(x) 2025-09-07T08:36:20.7262849Z 2025-09-07T08:36:20.7262944Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7263126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7263196Z return mod(*inputs) 2025-09-07T08:36:20.7263379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7263451Z x = self.forward_features(x) 2025-09-07T08:36:20.7263656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7263716Z x = self.blocks(x) 2025-09-07T08:36:20.7263911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7263975Z return self.fn(x) + x 2025-09-07T08:36:20.7263982Z 2025-09-07T08:36:20.7264088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7264268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7264330Z return mod(*inputs) 2025-09-07T08:36:20.7264528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7264596Z x = self.forward_features(x) 2025-09-07T08:36:20.7264806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7264866Z x = self.blocks(x) 2025-09-07T08:36:20.7265051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7265124Z return self.fn(x) + x 2025-09-07T08:36:20.7265127Z 2025-09-07T08:36:20.7265222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7265411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7265474Z return mod(*inputs) 2025-09-07T08:36:20.7265665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7265732Z x = self.forward_features(x) 2025-09-07T08:36:20.7265937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7266004Z x = self.blocks(x) 2025-09-07T08:36:20.7266188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7266257Z return self.fn(x) + x 2025-09-07T08:36:20.7266259Z 2025-09-07T08:36:20.7266357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7266561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7266631Z return mod(*inputs) 2025-09-07T08:36:20.7266843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7266919Z x = self.forward_features(x) 2025-09-07T08:36:20.7267121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7267180Z x = self.blocks(x) 2025-09-07T08:36:20.7267183Z 2025-09-07T08:36:20.7267289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7267469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7267539Z return mod(*inputs) 2025-09-07T08:36:20.7267725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7267790Z x = self.forward_features(x) 2025-09-07T08:36:20.7268000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7268078Z x = self.blocks(x) 2025-09-07T08:36:20.7268081Z 2025-09-07T08:36:20.7268184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7268365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7268436Z return mod(*inputs) 2025-09-07T08:36:20.7268619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7268685Z x = self.forward_features(x) 2025-09-07T08:36:20.7268894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7268954Z x = self.blocks(x) 2025-09-07T08:36:20.7268957Z 2025-09-07T08:36:20.7269062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7269242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7269303Z return mod(*inputs) 2025-09-07T08:36:20.7269502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7269569Z x = self.forward_features(x) 2025-09-07T08:36:20.7269781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7269840Z x = self.blocks(x) 2025-09-07T08:36:20.7270020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7270089Z return self.fn(x) + x 2025-09-07T08:36:20.7270092Z 2025-09-07T08:36:20.7270186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7270375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7270437Z return mod(*inputs) 2025-09-07T08:36:20.7270628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7270698Z x = self.forward_features(x) 2025-09-07T08:36:20.7270901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7270968Z x = self.blocks(x) 2025-09-07T08:36:20.7271151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7271223Z return self.fn(x) + x 2025-09-07T08:36:20.7271227Z 2025-09-07T08:36:20.7271323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7271504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7271574Z return mod(*inputs) 2025-09-07T08:36:20.7271758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7271848Z x = self.forward_features(x) 2025-09-07T08:36:20.7272088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7272150Z x = self.blocks(x) 2025-09-07T08:36:20.7272342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7272404Z return self.fn(x) + x 2025-09-07T08:36:20.7272407Z 2025-09-07T08:36:20.7272509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7272688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7272750Z return mod(*inputs) 2025-09-07T08:36:20.7272943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7273007Z x = self.forward_features(x) 2025-09-07T08:36:20.7273216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7273277Z x = self.blocks(x) 2025-09-07T08:36:20.7273280Z 2025-09-07T08:36:20.7273403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7273581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7273641Z return mod(*inputs) 2025-09-07T08:36:20.7273831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7273896Z x = self.forward_features(x) 2025-09-07T08:36:20.7274105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7274166Z x = self.blocks(x) 2025-09-07T08:36:20.7274169Z 2025-09-07T08:36:20.7274264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7274450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7274514Z return mod(*inputs) 2025-09-07T08:36:20.7274711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7274777Z x = self.forward_features(x) 2025-09-07T08:36:20.7274979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7275049Z x = self.blocks(x) 2025-09-07T08:36:20.7275052Z 2025-09-07T08:36:20.7275145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7275332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7275394Z return mod(*inputs) 2025-09-07T08:36:20.7275585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7275649Z x = self.forward_features(x) 2025-09-07T08:36:20.7275852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7275922Z x = self.blocks(x) 2025-09-07T08:36:20.7276109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7276184Z return self.fn(x) + x 2025-09-07T08:36:20.7276186Z 2025-09-07T08:36:20.7276281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7276460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7276529Z return mod(*inputs) 2025-09-07T08:36:20.7276711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7276788Z x = self.forward_features(x) 2025-09-07T08:36:20.7276988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7277048Z x = self.blocks(x) 2025-09-07T08:36:20.7277252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7277317Z return self.fn(x) + x 2025-09-07T08:36:20.7277345Z 2025-09-07T08:36:20.7277453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7277634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7277696Z return mod(*inputs) 2025-09-07T08:36:20.7277889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7277955Z x = self.forward_features(x) 2025-09-07T08:36:20.7278164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7278223Z x = self.blocks(x) 2025-09-07T08:36:20.7278413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7278477Z return self.fn(x) + x 2025-09-07T08:36:20.7278480Z 2025-09-07T08:36:20.7278575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7278762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7278840Z return mod(*inputs) 2025-09-07T08:36:20.7279030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7279096Z x = self.forward_features(x) 2025-09-07T08:36:20.7279298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7279365Z x = self.blocks(x) 2025-09-07T08:36:20.7279368Z 2025-09-07T08:36:20.7279464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7279653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7279713Z return mod(*inputs) 2025-09-07T08:36:20.7279897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7279970Z x = self.forward_features(x) 2025-09-07T08:36:20.7280178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7280246Z x = self.blocks(x) 2025-09-07T08:36:20.7280249Z 2025-09-07T08:36:20.7280344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7280532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7280593Z return mod(*inputs) 2025-09-07T08:36:20.7280779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7280854Z x = self.forward_features(x) 2025-09-07T08:36:20.7281057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7281125Z x = self.blocks(x) 2025-09-07T08:36:20.7281129Z 2025-09-07T08:36:20.7281223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7281407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7281475Z return mod(*inputs) 2025-09-07T08:36:20.7281659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7281733Z x = self.forward_features(x) 2025-09-07T08:36:20.7281934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7281994Z x = self.blocks(x) 2025-09-07T08:36:20.7282190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7282252Z return self.fn(x) + x 2025-09-07T08:36:20.7282254Z 2025-09-07T08:36:20.7282358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7282557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7282616Z return mod(*inputs) 2025-09-07T08:36:20.7282847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7282917Z x = self.forward_features(x) 2025-09-07T08:36:20.7283129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7283188Z x = self.blocks(x) 2025-09-07T08:36:20.7283371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7283443Z return self.fn(x) + x 2025-09-07T08:36:20.7283445Z 2025-09-07T08:36:20.7283544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7283727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7283792Z return mod(*inputs) 2025-09-07T08:36:20.7283982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7284068Z x = self.forward_features(x) 2025-09-07T08:36:20.7284271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7284342Z x = self.blocks(x) 2025-09-07T08:36:20.7284521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7284591Z return self.fn(x) + x 2025-09-07T08:36:20.7284594Z 2025-09-07T08:36:20.7284689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7284867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7284936Z return mod(*inputs) 2025-09-07T08:36:20.7285119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7285197Z x = self.forward_features(x) 2025-09-07T08:36:20.7285401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7285462Z x = self.blocks(x) 2025-09-07T08:36:20.7285473Z 2025-09-07T08:36:20.7285569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7285748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7285817Z return mod(*inputs) 2025-09-07T08:36:20.7285999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7286075Z x = self.forward_features(x) 2025-09-07T08:36:20.7286279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7286338Z x = self.blocks(x) 2025-09-07T08:36:20.7286341Z 2025-09-07T08:36:20.7286447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7286626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7286701Z return mod(*inputs) 2025-09-07T08:36:20.7286889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7286955Z x = self.forward_features(x) 2025-09-07T08:36:20.7287169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7287228Z x = self.blocks(x) 2025-09-07T08:36:20.7287231Z 2025-09-07T08:36:20.7287336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7287517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7287579Z return mod(*inputs) 2025-09-07T08:36:20.7287772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7287855Z x = self.forward_features(x) 2025-09-07T08:36:20.7288130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7288194Z x = self.blocks(x) 2025-09-07T08:36:20.7288375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7288445Z return self.fn(x) + x 2025-09-07T08:36:20.7288448Z 2025-09-07T08:36:20.7288544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7288730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7288791Z return mod(*inputs) 2025-09-07T08:36:20.7288984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7289050Z x = self.forward_features(x) 2025-09-07T08:36:20.7289250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7289322Z x = self.blocks(x) 2025-09-07T08:36:20.7289509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7289597Z return self.fn(x) + x 2025-09-07T08:36:20.7289599Z 2025-09-07T08:36:20.7289695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7289878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7289948Z return mod(*inputs) 2025-09-07T08:36:20.7290134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7290208Z x = self.forward_features(x) 2025-09-07T08:36:20.7290415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7290473Z x = self.blocks(x) 2025-09-07T08:36:20.7290668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7290731Z return self.fn(x) + x 2025-09-07T08:36:20.7290737Z 2025-09-07T08:36:20.7290842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7291024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7291095Z return mod(*inputs) 2025-09-07T08:36:20.7291282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7291348Z x = self.forward_features(x) 2025-09-07T08:36:20.7291564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7291624Z x = self.blocks(x) 2025-09-07T08:36:20.7291627Z 2025-09-07T08:36:20.7291727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7291910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7291973Z return mod(*inputs) 2025-09-07T08:36:20.7292172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7292239Z x = self.forward_features(x) 2025-09-07T08:36:20.7292462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7292521Z x = self.blocks(x) 2025-09-07T08:36:20.7292524Z 2025-09-07T08:36:20.7292620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7292810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7292872Z return mod(*inputs) 2025-09-07T08:36:20.7293070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7293135Z x = self.forward_features(x) 2025-09-07T08:36:20.7293353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7293458Z x = self.blocks(x) 2025-09-07T08:36:20.7293463Z 2025-09-07T08:36:20.7293558Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7293745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7293805Z return mod(*inputs) 2025-09-07T08:36:20.7293996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7294062Z x = self.forward_features(x) 2025-09-07T08:36:20.7294262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7294328Z x = self.blocks(x) 2025-09-07T08:36:20.7294508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7294579Z return self.fn(x) + x 2025-09-07T08:36:20.7294582Z 2025-09-07T08:36:20.7294675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7294873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7294943Z return mod(*inputs) 2025-09-07T08:36:20.7295125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7295197Z x = self.forward_features(x) 2025-09-07T08:36:20.7295398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7295457Z x = self.blocks(x) 2025-09-07T08:36:20.7295648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7295709Z return self.fn(x) + x 2025-09-07T08:36:20.7295713Z 2025-09-07T08:36:20.7295816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7295999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7296069Z return mod(*inputs) 2025-09-07T08:36:20.7296256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7296322Z x = self.forward_features(x) 2025-09-07T08:36:20.7296533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7296592Z x = self.blocks(x) 2025-09-07T08:36:20.7296785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7296848Z return self.fn(x) + x 2025-09-07T08:36:20.7296850Z 2025-09-07T08:36:20.7296946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7297131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7297193Z return mod(*inputs) 2025-09-07T08:36:20.7297380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7297451Z x = self.forward_features(x) 2025-09-07T08:36:20.7297655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7297725Z x = self.blocks(x) 2025-09-07T08:36:20.7297727Z 2025-09-07T08:36:20.7297822Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7298016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7298076Z return mod(*inputs) 2025-09-07T08:36:20.7298262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7298333Z x = self.forward_features(x) 2025-09-07T08:36:20.7298537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7298623Z x = self.blocks(x) 2025-09-07T08:36:20.7298626Z 2025-09-07T08:36:20.7298750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7298940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7299002Z return mod(*inputs) 2025-09-07T08:36:20.7299185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7299261Z x = self.forward_features(x) 2025-09-07T08:36:20.7299460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7299530Z x = self.blocks(x) 2025-09-07T08:36:20.7299532Z 2025-09-07T08:36:20.7299627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7299806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7299876Z return mod(*inputs) 2025-09-07T08:36:20.7300059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7300152Z x = self.forward_features(x) 2025-09-07T08:36:20.7300359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7300419Z x = self.blocks(x) 2025-09-07T08:36:20.7300610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7300673Z return self.fn(x) + x 2025-09-07T08:36:20.7300675Z 2025-09-07T08:36:20.7300776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7300956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7301020Z return mod(*inputs) 2025-09-07T08:36:20.7301208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7301276Z x = self.forward_features(x) 2025-09-07T08:36:20.7301488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7301550Z x = self.blocks(x) 2025-09-07T08:36:20.7301738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7301801Z return self.fn(x) + x 2025-09-07T08:36:20.7301804Z 2025-09-07T08:36:20.7301899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7302087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7302149Z return mod(*inputs) 2025-09-07T08:36:20.7302342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7302407Z x = self.forward_features(x) 2025-09-07T08:36:20.7302609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7302680Z x = self.blocks(x) 2025-09-07T08:36:20.7302866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7302939Z return self.fn(x) + x 2025-09-07T08:36:20.7302942Z 2025-09-07T08:36:20.7303036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7303214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7303286Z return mod(*inputs) 2025-09-07T08:36:20.7303469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7303540Z x = self.forward_features(x) 2025-09-07T08:36:20.7303746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7303806Z x = self.blocks(x) 2025-09-07T08:36:20.7303830Z 2025-09-07T08:36:20.7303926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7304127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7304200Z return mod(*inputs) 2025-09-07T08:36:20.7304383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7304453Z x = self.forward_features(x) 2025-09-07T08:36:20.7304655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7304714Z x = self.blocks(x) 2025-09-07T08:36:20.7304717Z 2025-09-07T08:36:20.7304820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7304997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7305064Z return mod(*inputs) 2025-09-07T08:36:20.7305245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7305313Z x = self.forward_features(x) 2025-09-07T08:36:20.7305544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7305602Z x = self.blocks(x) 2025-09-07T08:36:20.7305605Z 2025-09-07T08:36:20.7305707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7305886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7305947Z return mod(*inputs) 2025-09-07T08:36:20.7306139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7306205Z x = self.forward_features(x) 2025-09-07T08:36:20.7306412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7306474Z x = self.blocks(x) 2025-09-07T08:36:20.7306665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7306732Z return self.fn(x) + x 2025-09-07T08:36:20.7306736Z 2025-09-07T08:36:20.7306831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7307017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7307076Z return mod(*inputs) 2025-09-07T08:36:20.7307269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7307333Z x = self.forward_features(x) 2025-09-07T08:36:20.7307533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7307603Z x = self.blocks(x) 2025-09-07T08:36:20.7307785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7307857Z return self.fn(x) + x 2025-09-07T08:36:20.7307859Z 2025-09-07T08:36:20.7307955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7308141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7308210Z return mod(*inputs) 2025-09-07T08:36:20.7308397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7308473Z x = self.forward_features(x) 2025-09-07T08:36:20.7308676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7308734Z x = self.blocks(x) 2025-09-07T08:36:20.7308922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 24, in forward 2025-09-07T08:36:20.7308986Z return self.fn(x) + x 2025-09-07T08:36:20.7308988Z 2025-09-07T08:36:20.7309092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7309289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7309384Z return mod(*inputs) 2025-09-07T08:36:20.7309572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7309637Z x = self.forward_features(x) 2025-09-07T08:36:20.7309849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7309909Z x = self.blocks(x) 2025-09-07T08:36:20.7309912Z 2025-09-07T08:36:20.7310014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7310200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7310262Z return mod(*inputs) 2025-09-07T08:36:20.7310455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 100, in forward 2025-09-07T08:36:20.7310530Z x = self.forward_features(x) 2025-09-07T08:36:20.7310746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 91, in forward_features 2025-09-07T08:36:20.7310826Z x = self.blocks(x) 2025-09-07T08:36:20.7310829Z 2025-09-07T08:36:20.7310908Z cudagraph partition due to non gpu ops 2025-09-07T08:36:20.7311016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:36:20.7311201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:36:20.7311273Z return mod(*inputs) 2025-09-07T08:36:20.7311462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 101, in forward 2025-09-07T08:36:20.7311529Z x = self.forward_head(x) 2025-09-07T08:36:20.7311739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convmixer.py", line 95, in forward_head 2025-09-07T08:36:20.7311804Z x = self.pooling(x) 2025-09-07T08:36:20.7312035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:36:20.7312097Z x = self.pool(x) 2025-09-07T08:36:20.7312104Z 2025-09-07T08:36:20.7312190Z cudagraph partition due to non gpu ops 2025-09-07T08:36:20.7312267Z cudagraph partition due to non gpu ops 2025-09-07T08:36:31.1263830Z pass 2025-09-07T08:36:31.1264263Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:33.2603155Z /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. 2025-09-07T08:36:33.2604047Z import pynvml # type: ignore[import] 2025-09-07T08:36:35.4416592Z 2025-09-07T08:36:36.5400298Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:36.5400658Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:36:36.5400918Z cpu eval convnext_base 2025-09-07T08:36:46.7376405Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:46.8737637Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:47.0091258Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:00.5129961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5130937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5131285Z return mod(*inputs) 2025-09-07T08:37:00.5131621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5131959Z x = self.forward_features(x) 2025-09-07T08:37:00.5132300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 498, in forward_features 2025-09-07T08:37:00.5132997Z x = self.stem(x) 2025-09-07T08:37:00.5133098Z 2025-09-07T08:37:00.5133318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5133692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5134005Z return mod(*inputs) 2025-09-07T08:37:00.5134298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5134608Z x = self.forward_features(x) 2025-09-07T08:37:00.5134941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 498, in forward_features 2025-09-07T08:37:00.5135266Z x = self.stem(x) 2025-09-07T08:37:00.5135357Z 2025-09-07T08:37:00.5135544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5135891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5136191Z return mod(*inputs) 2025-09-07T08:37:00.5136485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5136856Z x = self.forward_features(x) 2025-09-07T08:37:00.5137181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 498, in forward_features 2025-09-07T08:37:00.5137506Z x = self.stem(x) 2025-09-07T08:37:00.5137598Z 2025-09-07T08:37:00.5137699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5138039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5138344Z return mod(*inputs) 2025-09-07T08:37:00.5138630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5138934Z x = self.forward_features(x) 2025-09-07T08:37:00.5139261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5139590Z x = self.stages(x) 2025-09-07T08:37:00.5139890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5140192Z x = self.blocks(x) 2025-09-07T08:37:00.5140466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5140764Z x = self.conv_dw(x) 2025-09-07T08:37:00.5140863Z 2025-09-07T08:37:00.5140962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5141295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5141588Z return mod(*inputs) 2025-09-07T08:37:00.5141872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5142179Z x = self.forward_features(x) 2025-09-07T08:37:00.5142503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5142829Z x = self.stages(x) 2025-09-07T08:37:00.5143108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5143408Z x = self.blocks(x) 2025-09-07T08:37:00.5143690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5143985Z x = self.conv_dw(x) 2025-09-07T08:37:00.5144078Z 2025-09-07T08:37:00.5144159Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5144367Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5144568Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5144764Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5144981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5145316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5145657Z return mod(*inputs) 2025-09-07T08:37:00.5145986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5146299Z x = self.forward_features(x) 2025-09-07T08:37:00.5146619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5146937Z x = self.stages(x) 2025-09-07T08:37:00.5147220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5147520Z x = self.blocks(x) 2025-09-07T08:37:00.5147811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5148114Z x = self.conv_dw(x) 2025-09-07T08:37:00.5148217Z 2025-09-07T08:37:00.5148316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5148646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5149040Z return mod(*inputs) 2025-09-07T08:37:00.5149320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5149674Z x = self.forward_features(x) 2025-09-07T08:37:00.5150001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5150324Z x = self.stages(x) 2025-09-07T08:37:00.5150595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5150899Z x = self.blocks(x) 2025-09-07T08:37:00.5151179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5151485Z x = self.conv_dw(x) 2025-09-07T08:37:00.5151579Z 2025-09-07T08:37:00.5151687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5152015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5152329Z return mod(*inputs) 2025-09-07T08:37:00.5152612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5152925Z x = self.forward_features(x) 2025-09-07T08:37:00.5153234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5153554Z x = self.stages(x) 2025-09-07T08:37:00.5153836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5154136Z x = self.blocks(x) 2025-09-07T08:37:00.5154417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5154707Z x = self.conv_dw(x) 2025-09-07T08:37:00.5154811Z 2025-09-07T08:37:00.5154886Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5155091Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5155287Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5155476Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5155701Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5156034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5156334Z return mod(*inputs) 2025-09-07T08:37:00.5156610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5156917Z x = self.forward_features(x) 2025-09-07T08:37:00.5157252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5157569Z x = self.stages(x) 2025-09-07T08:37:00.5157844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5158133Z x = self.blocks(x) 2025-09-07T08:37:00.5158443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5158753Z x = self.conv_dw(x) 2025-09-07T08:37:00.5158903Z 2025-09-07T08:37:00.5159009Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5159331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5159631Z return mod(*inputs) 2025-09-07T08:37:00.5159914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5160220Z x = self.forward_features(x) 2025-09-07T08:37:00.5160543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5160858Z x = self.stages(x) 2025-09-07T08:37:00.5161135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5161434Z x = self.blocks(x) 2025-09-07T08:37:00.5161711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5162030Z x = self.conv_dw(x) 2025-09-07T08:37:00.5162134Z 2025-09-07T08:37:00.5162208Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5162405Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5162605Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5162796Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5163017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5163351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5163663Z return mod(*inputs) 2025-09-07T08:37:00.5163948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5164246Z x = self.forward_features(x) 2025-09-07T08:37:00.5164597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5164909Z x = self.stages(x) 2025-09-07T08:37:00.5165197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 230, in forward 2025-09-07T08:37:00.5165516Z x = self.downsample(x) 2025-09-07T08:37:00.5165623Z 2025-09-07T08:37:00.5165728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5166062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5166356Z return mod(*inputs) 2025-09-07T08:37:00.5166650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5166955Z x = self.forward_features(x) 2025-09-07T08:37:00.5167279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5167591Z x = self.stages(x) 2025-09-07T08:37:00.5167876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 230, in forward 2025-09-07T08:37:00.5168186Z x = self.downsample(x) 2025-09-07T08:37:00.5168296Z 2025-09-07T08:37:00.5168400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5168736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5169031Z return mod(*inputs) 2025-09-07T08:37:00.5169314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5169620Z x = self.forward_features(x) 2025-09-07T08:37:00.5169941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5170253Z x = self.stages(x) 2025-09-07T08:37:00.5170530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5170848Z x = self.blocks(x) 2025-09-07T08:37:00.5171126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5173073Z x = self.conv_dw(x) 2025-09-07T08:37:00.5173177Z 2025-09-07T08:37:00.5173275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5173607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5173907Z return mod(*inputs) 2025-09-07T08:37:00.5174188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5174485Z x = self.forward_features(x) 2025-09-07T08:37:00.5174807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5175126Z x = self.stages(x) 2025-09-07T08:37:00.5175408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5175710Z x = self.blocks(x) 2025-09-07T08:37:00.5175982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5176301Z x = self.conv_dw(x) 2025-09-07T08:37:00.5176394Z 2025-09-07T08:37:00.5176479Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5176683Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5176876Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5177072Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5177295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5177629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5177924Z return mod(*inputs) 2025-09-07T08:37:00.5178210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5178521Z x = self.forward_features(x) 2025-09-07T08:37:00.5178844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5179170Z x = self.stages(x) 2025-09-07T08:37:00.5179443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5179742Z x = self.blocks(x) 2025-09-07T08:37:00.5180022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5180324Z x = self.conv_dw(x) 2025-09-07T08:37:00.5180417Z 2025-09-07T08:37:00.5180515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5180848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5181150Z return mod(*inputs) 2025-09-07T08:37:00.5181429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5181740Z x = self.forward_features(x) 2025-09-07T08:37:00.5182060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5182387Z x = self.stages(x) 2025-09-07T08:37:00.5182669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5182964Z x = self.blocks(x) 2025-09-07T08:37:00.5183232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5183534Z x = self.conv_dw(x) 2025-09-07T08:37:00.5183635Z 2025-09-07T08:37:00.5183733Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5184064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5184367Z return mod(*inputs) 2025-09-07T08:37:00.5184645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5184972Z x = self.forward_features(x) 2025-09-07T08:37:00.5185333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5185654Z x = self.stages(x) 2025-09-07T08:37:00.5185922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5186216Z x = self.blocks(x) 2025-09-07T08:37:00.5186495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5186793Z x = self.conv_dw(x) 2025-09-07T08:37:00.5186887Z 2025-09-07T08:37:00.5186973Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5187166Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5187362Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5187555Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5187776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5188104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5188404Z return mod(*inputs) 2025-09-07T08:37:00.5188708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5189020Z x = self.forward_features(x) 2025-09-07T08:37:00.5189339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5189665Z x = self.stages(x) 2025-09-07T08:37:00.5189952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5190252Z x = self.blocks(x) 2025-09-07T08:37:00.5190525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5190830Z x = self.conv_dw(x) 2025-09-07T08:37:00.5190933Z 2025-09-07T08:37:00.5191035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5191371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5191679Z return mod(*inputs) 2025-09-07T08:37:00.5191961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5192272Z x = self.forward_features(x) 2025-09-07T08:37:00.5192597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5192921Z x = self.stages(x) 2025-09-07T08:37:00.5193193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5193491Z x = self.blocks(x) 2025-09-07T08:37:00.5193773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5194077Z x = self.conv_dw(x) 2025-09-07T08:37:00.5194174Z 2025-09-07T08:37:00.5194257Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5194452Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5194658Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5194859Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5195078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5195406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5195710Z return mod(*inputs) 2025-09-07T08:37:00.5195995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5196304Z x = self.forward_features(x) 2025-09-07T08:37:00.5196620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5196942Z x = self.stages(x) 2025-09-07T08:37:00.5197227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 230, in forward 2025-09-07T08:37:00.5197551Z x = self.downsample(x) 2025-09-07T08:37:00.5197656Z 2025-09-07T08:37:00.5197789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5198121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5198430Z return mod(*inputs) 2025-09-07T08:37:00.5198718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5199032Z x = self.forward_features(x) 2025-09-07T08:37:00.5199355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5199682Z x = self.stages(x) 2025-09-07T08:37:00.5199966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 230, in forward 2025-09-07T08:37:00.5200275Z x = self.downsample(x) 2025-09-07T08:37:00.5200382Z 2025-09-07T08:37:00.5200492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5200824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5201148Z return mod(*inputs) 2025-09-07T08:37:00.5201431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5201734Z x = self.forward_features(x) 2025-09-07T08:37:00.5202057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5202377Z x = self.stages(x) 2025-09-07T08:37:00.5202656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5202957Z x = self.blocks(x) 2025-09-07T08:37:00.5203234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5203526Z x = self.conv_dw(x) 2025-09-07T08:37:00.5203627Z 2025-09-07T08:37:00.5203723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5204056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5204360Z return mod(*inputs) 2025-09-07T08:37:00.5204636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5204946Z x = self.forward_features(x) 2025-09-07T08:37:00.5205271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5205594Z x = self.stages(x) 2025-09-07T08:37:00.5205876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5206167Z x = self.blocks(x) 2025-09-07T08:37:00.5206446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5206742Z x = self.conv_dw(x) 2025-09-07T08:37:00.5206835Z 2025-09-07T08:37:00.5206918Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5207109Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5207312Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5207506Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5207724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5208045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5208349Z return mod(*inputs) 2025-09-07T08:37:00.5208634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5208939Z x = self.forward_features(x) 2025-09-07T08:37:00.5209258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5209571Z x = self.stages(x) 2025-09-07T08:37:00.5209851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5210171Z x = self.blocks(x) 2025-09-07T08:37:00.5210480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5210777Z x = self.conv_dw(x) 2025-09-07T08:37:00.5210877Z 2025-09-07T08:37:00.5210974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5211309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5211608Z return mod(*inputs) 2025-09-07T08:37:00.5211888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5212186Z x = self.forward_features(x) 2025-09-07T08:37:00.5212502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5212825Z x = self.stages(x) 2025-09-07T08:37:00.5213103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5213389Z x = self.blocks(x) 2025-09-07T08:37:00.5213688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5213991Z x = self.conv_dw(x) 2025-09-07T08:37:00.5214085Z 2025-09-07T08:37:00.5214187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5214518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5214812Z return mod(*inputs) 2025-09-07T08:37:00.5215092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5215403Z x = self.forward_features(x) 2025-09-07T08:37:00.5215725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5216039Z x = self.stages(x) 2025-09-07T08:37:00.5216322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5216625Z x = self.blocks(x) 2025-09-07T08:37:00.5216904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5217205Z x = self.conv_dw(x) 2025-09-07T08:37:00.5217300Z 2025-09-07T08:37:00.5217375Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5217578Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5217774Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5217973Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5218198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5218533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5218836Z return mod(*inputs) 2025-09-07T08:37:00.5219120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5219428Z x = self.forward_features(x) 2025-09-07T08:37:00.5219752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5220078Z x = self.stages(x) 2025-09-07T08:37:00.5220358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5220658Z x = self.blocks(x) 2025-09-07T08:37:00.5220930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5221229Z x = self.conv_dw(x) 2025-09-07T08:37:00.5221325Z 2025-09-07T08:37:00.5221428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5221763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5222058Z return mod(*inputs) 2025-09-07T08:37:00.5222358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5222663Z x = self.forward_features(x) 2025-09-07T08:37:00.5223027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5223353Z x = self.stages(x) 2025-09-07T08:37:00.5223626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5223923Z x = self.blocks(x) 2025-09-07T08:37:00.5224200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5224500Z x = self.conv_dw(x) 2025-09-07T08:37:00.5224594Z 2025-09-07T08:37:00.5224671Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5224869Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5225067Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5225261Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5225474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5225812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5226131Z return mod(*inputs) 2025-09-07T08:37:00.5226413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5226718Z x = self.forward_features(x) 2025-09-07T08:37:00.5227030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5227351Z x = self.stages(x) 2025-09-07T08:37:00.5227626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5227923Z x = self.blocks(x) 2025-09-07T08:37:00.5228197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5228497Z x = self.conv_dw(x) 2025-09-07T08:37:00.5228593Z 2025-09-07T08:37:00.5228689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5229027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5229329Z return mod(*inputs) 2025-09-07T08:37:00.5229605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5229915Z x = self.forward_features(x) 2025-09-07T08:37:00.5230240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5230561Z x = self.stages(x) 2025-09-07T08:37:00.5230837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5231136Z x = self.blocks(x) 2025-09-07T08:37:00.5231414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5231715Z x = self.conv_dw(x) 2025-09-07T08:37:00.5231809Z 2025-09-07T08:37:00.5231913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5232243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5232544Z return mod(*inputs) 2025-09-07T08:37:00.5232830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5233136Z x = self.forward_features(x) 2025-09-07T08:37:00.5233454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5233778Z x = self.stages(x) 2025-09-07T08:37:00.5234059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5234362Z x = self.blocks(x) 2025-09-07T08:37:00.5234630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5234949Z x = self.conv_dw(x) 2025-09-07T08:37:00.5235050Z 2025-09-07T08:37:00.5235158Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5235361Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5235556Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5235746Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5235968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5236303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5236606Z return mod(*inputs) 2025-09-07T08:37:00.5236879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5237183Z x = self.forward_features(x) 2025-09-07T08:37:00.5237503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5237827Z x = self.stages(x) 2025-09-07T08:37:00.5238098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5238415Z x = self.blocks(x) 2025-09-07T08:37:00.5238694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5238993Z x = self.conv_dw(x) 2025-09-07T08:37:00.5239087Z 2025-09-07T08:37:00.5239189Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5239513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5239812Z return mod(*inputs) 2025-09-07T08:37:00.5240095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5240401Z x = self.forward_features(x) 2025-09-07T08:37:00.5240714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5241037Z x = self.stages(x) 2025-09-07T08:37:00.5241319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5241619Z x = self.blocks(x) 2025-09-07T08:37:00.5241898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5242189Z x = self.conv_dw(x) 2025-09-07T08:37:00.5242288Z 2025-09-07T08:37:00.5242362Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5242562Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5242758Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5242946Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5243168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5243500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5243799Z return mod(*inputs) 2025-09-07T08:37:00.5244073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5244382Z x = self.forward_features(x) 2025-09-07T08:37:00.5244706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5245029Z x = self.stages(x) 2025-09-07T08:37:00.5245310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5245602Z x = self.blocks(x) 2025-09-07T08:37:00.5245880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5246176Z x = self.conv_dw(x) 2025-09-07T08:37:00.5246270Z 2025-09-07T08:37:00.5246375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5246701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5247019Z return mod(*inputs) 2025-09-07T08:37:00.5247301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5247642Z x = self.forward_features(x) 2025-09-07T08:37:00.5247964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5248276Z x = self.stages(x) 2025-09-07T08:37:00.5248557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5248900Z x = self.blocks(x) 2025-09-07T08:37:00.5249184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5249478Z x = self.conv_dw(x) 2025-09-07T08:37:00.5249580Z 2025-09-07T08:37:00.5249680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5250020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5250328Z return mod(*inputs) 2025-09-07T08:37:00.5250616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5250954Z x = self.forward_features(x) 2025-09-07T08:37:00.5251273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5251593Z x = self.stages(x) 2025-09-07T08:37:00.5251871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5252163Z x = self.blocks(x) 2025-09-07T08:37:00.5252440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5252745Z x = self.conv_dw(x) 2025-09-07T08:37:00.5252838Z 2025-09-07T08:37:00.5252924Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5253131Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5253328Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5253525Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5253887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5254229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5254524Z return mod(*inputs) 2025-09-07T08:37:00.5254813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5255122Z x = self.forward_features(x) 2025-09-07T08:37:00.5255442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5255762Z x = self.stages(x) 2025-09-07T08:37:00.5256052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5256354Z x = self.blocks(x) 2025-09-07T08:37:00.5256637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5256942Z x = self.conv_dw(x) 2025-09-07T08:37:00.5257033Z 2025-09-07T08:37:00.5257133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5257470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5257771Z return mod(*inputs) 2025-09-07T08:37:00.5258053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5258350Z x = self.forward_features(x) 2025-09-07T08:37:00.5258670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5258995Z x = self.stages(x) 2025-09-07T08:37:00.5259275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5259574Z x = self.blocks(x) 2025-09-07T08:37:00.5259877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5260176Z x = self.conv_dw(x) 2025-09-07T08:37:00.5260278Z 2025-09-07T08:37:00.5260400Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5260605Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5260794Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5260991Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5261211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5261543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5261838Z return mod(*inputs) 2025-09-07T08:37:00.5262120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5262429Z x = self.forward_features(x) 2025-09-07T08:37:00.5262753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5263073Z x = self.stages(x) 2025-09-07T08:37:00.5263348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5263666Z x = self.blocks(x) 2025-09-07T08:37:00.5263940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5264235Z x = self.conv_dw(x) 2025-09-07T08:37:00.5264325Z 2025-09-07T08:37:00.5264420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5264753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5265055Z return mod(*inputs) 2025-09-07T08:37:00.5265337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5265637Z x = self.forward_features(x) 2025-09-07T08:37:00.5265949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5266273Z x = self.stages(x) 2025-09-07T08:37:00.5266553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5266856Z x = self.blocks(x) 2025-09-07T08:37:00.5267129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5267429Z x = self.conv_dw(x) 2025-09-07T08:37:00.5267530Z 2025-09-07T08:37:00.5267627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5267965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5268268Z return mod(*inputs) 2025-09-07T08:37:00.5268542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5268852Z x = self.forward_features(x) 2025-09-07T08:37:00.5269178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5269501Z x = self.stages(x) 2025-09-07T08:37:00.5269777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5270076Z x = self.blocks(x) 2025-09-07T08:37:00.5270363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5270664Z x = self.conv_dw(x) 2025-09-07T08:37:00.5270756Z 2025-09-07T08:37:00.5270840Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5271033Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5271234Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5271430Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5271651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5271978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5272329Z return mod(*inputs) 2025-09-07T08:37:00.5272672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5272981Z x = self.forward_features(x) 2025-09-07T08:37:00.5273298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5273622Z x = self.stages(x) 2025-09-07T08:37:00.5273906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5274207Z x = self.blocks(x) 2025-09-07T08:37:00.5274488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5274781Z x = self.conv_dw(x) 2025-09-07T08:37:00.5274883Z 2025-09-07T08:37:00.5274980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5275316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5275625Z return mod(*inputs) 2025-09-07T08:37:00.5275904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5276226Z x = self.forward_features(x) 2025-09-07T08:37:00.5276551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5276877Z x = self.stages(x) 2025-09-07T08:37:00.5277160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5277459Z x = self.blocks(x) 2025-09-07T08:37:00.5277739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5278047Z x = self.conv_dw(x) 2025-09-07T08:37:00.5278139Z 2025-09-07T08:37:00.5278221Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5278413Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5278611Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5278807Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5279031Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5279361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5279667Z return mod(*inputs) 2025-09-07T08:37:00.5279951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5280263Z x = self.forward_features(x) 2025-09-07T08:37:00.5280589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5280908Z x = self.stages(x) 2025-09-07T08:37:00.5281188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5281492Z x = self.blocks(x) 2025-09-07T08:37:00.5281775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5282068Z x = self.conv_dw(x) 2025-09-07T08:37:00.5282173Z 2025-09-07T08:37:00.5282272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5282612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5282921Z return mod(*inputs) 2025-09-07T08:37:00.5283208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5283514Z x = self.forward_features(x) 2025-09-07T08:37:00.5283836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5284164Z x = self.stages(x) 2025-09-07T08:37:00.5284442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5284734Z x = self.blocks(x) 2025-09-07T08:37:00.5285030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5285326Z x = self.conv_dw(x) 2025-09-07T08:37:00.5285450Z 2025-09-07T08:37:00.5285558Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5285890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5286182Z return mod(*inputs) 2025-09-07T08:37:00.5286461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5286769Z x = self.forward_features(x) 2025-09-07T08:37:00.5287091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5287403Z x = self.stages(x) 2025-09-07T08:37:00.5287684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5287982Z x = self.blocks(x) 2025-09-07T08:37:00.5288257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5288566Z x = self.conv_dw(x) 2025-09-07T08:37:00.5288669Z 2025-09-07T08:37:00.5288742Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5288942Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5289137Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5289330Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5289543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5289872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5290176Z return mod(*inputs) 2025-09-07T08:37:00.5290457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5290758Z x = self.forward_features(x) 2025-09-07T08:37:00.5291077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5291397Z x = self.stages(x) 2025-09-07T08:37:00.5291682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5291977Z x = self.blocks(x) 2025-09-07T08:37:00.5292254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5292554Z x = self.conv_dw(x) 2025-09-07T08:37:00.5292648Z 2025-09-07T08:37:00.5292753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5293084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5293379Z return mod(*inputs) 2025-09-07T08:37:00.5293659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5293964Z x = self.forward_features(x) 2025-09-07T08:37:00.5294289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5294610Z x = self.stages(x) 2025-09-07T08:37:00.5294888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5295186Z x = self.blocks(x) 2025-09-07T08:37:00.5295469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5295771Z x = self.conv_dw(x) 2025-09-07T08:37:00.5295865Z 2025-09-07T08:37:00.5295943Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5296145Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5296339Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5296534Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5296745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5297076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5297396Z return mod(*inputs) 2025-09-07T08:37:00.5297706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5298008Z x = self.forward_features(x) 2025-09-07T08:37:00.5298330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5298653Z x = self.stages(x) 2025-09-07T08:37:00.5298935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5299231Z x = self.blocks(x) 2025-09-07T08:37:00.5299502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5299801Z x = self.conv_dw(x) 2025-09-07T08:37:00.5299904Z 2025-09-07T08:37:00.5300001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5300337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5300629Z return mod(*inputs) 2025-09-07T08:37:00.5300914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5301239Z x = self.forward_features(x) 2025-09-07T08:37:00.5301558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5301876Z x = self.stages(x) 2025-09-07T08:37:00.5302167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5302468Z x = self.blocks(x) 2025-09-07T08:37:00.5302754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5303060Z x = self.conv_dw(x) 2025-09-07T08:37:00.5303155Z 2025-09-07T08:37:00.5303256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5303600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5303905Z return mod(*inputs) 2025-09-07T08:37:00.5304197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5304512Z x = self.forward_features(x) 2025-09-07T08:37:00.5304834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5305162Z x = self.stages(x) 2025-09-07T08:37:00.5305448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5305758Z x = self.blocks(x) 2025-09-07T08:37:00.5306028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5306337Z x = self.conv_dw(x) 2025-09-07T08:37:00.5306438Z 2025-09-07T08:37:00.5306515Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5306721Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5306916Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5307111Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5307336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5307665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5307968Z return mod(*inputs) 2025-09-07T08:37:00.5308243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5308548Z x = self.forward_features(x) 2025-09-07T08:37:00.5308872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5309191Z x = self.stages(x) 2025-09-07T08:37:00.5309464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5309779Z x = self.blocks(x) 2025-09-07T08:37:00.5310061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5310393Z x = self.conv_dw(x) 2025-09-07T08:37:00.5310487Z 2025-09-07T08:37:00.5310588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5310914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5311215Z return mod(*inputs) 2025-09-07T08:37:00.5311499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5311810Z x = self.forward_features(x) 2025-09-07T08:37:00.5312123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5312446Z x = self.stages(x) 2025-09-07T08:37:00.5312723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5313024Z x = self.blocks(x) 2025-09-07T08:37:00.5313304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5313622Z x = self.conv_dw(x) 2025-09-07T08:37:00.5313725Z 2025-09-07T08:37:00.5313801Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5314001Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5314197Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5314383Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5314603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5314937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5315239Z return mod(*inputs) 2025-09-07T08:37:00.5315514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5315822Z x = self.forward_features(x) 2025-09-07T08:37:00.5316141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5316464Z x = self.stages(x) 2025-09-07T08:37:00.5316744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5317036Z x = self.blocks(x) 2025-09-07T08:37:00.5317314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5317718Z x = self.conv_dw(x) 2025-09-07T08:37:00.5317813Z 2025-09-07T08:37:00.5317921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5318245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5318544Z return mod(*inputs) 2025-09-07T08:37:00.5318822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5319137Z x = self.forward_features(x) 2025-09-07T08:37:00.5319459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5319776Z x = self.stages(x) 2025-09-07T08:37:00.5320054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5320354Z x = self.blocks(x) 2025-09-07T08:37:00.5320628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5320918Z x = self.conv_dw(x) 2025-09-07T08:37:00.5321022Z 2025-09-07T08:37:00.5321119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5321451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5321748Z return mod(*inputs) 2025-09-07T08:37:00.5322031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5322363Z x = self.forward_features(x) 2025-09-07T08:37:00.5322719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5323048Z x = self.stages(x) 2025-09-07T08:37:00.5323326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5323620Z x = self.blocks(x) 2025-09-07T08:37:00.5323900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5324201Z x = self.conv_dw(x) 2025-09-07T08:37:00.5324293Z 2025-09-07T08:37:00.5324376Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5324569Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5324770Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5324964Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5325181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5325516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5325810Z return mod(*inputs) 2025-09-07T08:37:00.5326143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5326451Z x = self.forward_features(x) 2025-09-07T08:37:00.5326768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5327079Z x = self.stages(x) 2025-09-07T08:37:00.5327354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5327648Z x = self.blocks(x) 2025-09-07T08:37:00.5327922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5328262Z x = self.conv_dw(x) 2025-09-07T08:37:00.5328370Z 2025-09-07T08:37:00.5328468Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5328795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5329098Z return mod(*inputs) 2025-09-07T08:37:00.5329378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5329676Z x = self.forward_features(x) 2025-09-07T08:37:00.5329992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5330313Z x = self.stages(x) 2025-09-07T08:37:00.5330590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5330880Z x = self.blocks(x) 2025-09-07T08:37:00.5331157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5331455Z x = self.conv_dw(x) 2025-09-07T08:37:00.5331548Z 2025-09-07T08:37:00.5331632Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5331832Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5332023Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5332220Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5332438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5332764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5333056Z return mod(*inputs) 2025-09-07T08:37:00.5333340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5333650Z x = self.forward_features(x) 2025-09-07T08:37:00.5333967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5334277Z x = self.stages(x) 2025-09-07T08:37:00.5334555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5334874Z x = self.blocks(x) 2025-09-07T08:37:00.5335178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5335478Z x = self.conv_dw(x) 2025-09-07T08:37:00.5335569Z 2025-09-07T08:37:00.5335665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5336001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5336303Z return mod(*inputs) 2025-09-07T08:37:00.5336585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5336885Z x = self.forward_features(x) 2025-09-07T08:37:00.5337209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5337534Z x = self.stages(x) 2025-09-07T08:37:00.5337816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5338117Z x = self.blocks(x) 2025-09-07T08:37:00.5338394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5338710Z x = self.conv_dw(x) 2025-09-07T08:37:00.5338809Z 2025-09-07T08:37:00.5338906Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5339235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5339523Z return mod(*inputs) 2025-09-07T08:37:00.5339806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5340110Z x = self.forward_features(x) 2025-09-07T08:37:00.5340428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5340745Z x = self.stages(x) 2025-09-07T08:37:00.5341016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5341310Z x = self.blocks(x) 2025-09-07T08:37:00.5341588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5341883Z x = self.conv_dw(x) 2025-09-07T08:37:00.5341975Z 2025-09-07T08:37:00.5342051Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5342246Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5342444Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5342637Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5342847Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5343175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5343474Z return mod(*inputs) 2025-09-07T08:37:00.5343757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5344062Z x = self.forward_features(x) 2025-09-07T08:37:00.5365473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5365843Z x = self.stages(x) 2025-09-07T08:37:00.5366141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5366460Z x = self.blocks(x) 2025-09-07T08:37:00.5366757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5367065Z x = self.conv_dw(x) 2025-09-07T08:37:00.5367165Z 2025-09-07T08:37:00.5367281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5367621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5367934Z return mod(*inputs) 2025-09-07T08:37:00.5368225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5368650Z x = self.forward_features(x) 2025-09-07T08:37:00.5369067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5369406Z x = self.stages(x) 2025-09-07T08:37:00.5369691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5369994Z x = self.blocks(x) 2025-09-07T08:37:00.5370276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5370572Z x = self.conv_dw(x) 2025-09-07T08:37:00.5370678Z 2025-09-07T08:37:00.5370762Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5370971Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5371179Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5371371Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5371603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5371944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5372291Z return mod(*inputs) 2025-09-07T08:37:00.5372570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5372881Z x = self.forward_features(x) 2025-09-07T08:37:00.5373211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5373538Z x = self.stages(x) 2025-09-07T08:37:00.5373816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5374106Z x = self.blocks(x) 2025-09-07T08:37:00.5374390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5374692Z x = self.conv_dw(x) 2025-09-07T08:37:00.5374790Z 2025-09-07T08:37:00.5374894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5375232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5375539Z return mod(*inputs) 2025-09-07T08:37:00.5375825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5376134Z x = self.forward_features(x) 2025-09-07T08:37:00.5376461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5376778Z x = self.stages(x) 2025-09-07T08:37:00.5377056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5377355Z x = self.blocks(x) 2025-09-07T08:37:00.5377634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5377935Z x = self.conv_dw(x) 2025-09-07T08:37:00.5378035Z 2025-09-07T08:37:00.5378135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5378474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5378780Z return mod(*inputs) 2025-09-07T08:37:00.5379060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5379358Z x = self.forward_features(x) 2025-09-07T08:37:00.5379680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5380003Z x = self.stages(x) 2025-09-07T08:37:00.5380283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5380576Z x = self.blocks(x) 2025-09-07T08:37:00.5380852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5381174Z x = self.conv_dw(x) 2025-09-07T08:37:00.5381266Z 2025-09-07T08:37:00.5381352Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5381892Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5382091Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5382293Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5382517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5382854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5383156Z return mod(*inputs) 2025-09-07T08:37:00.5383443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5383750Z x = self.forward_features(x) 2025-09-07T08:37:00.5384080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5384394Z x = self.stages(x) 2025-09-07T08:37:00.5384682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5384986Z x = self.blocks(x) 2025-09-07T08:37:00.5385286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5385582Z x = self.conv_dw(x) 2025-09-07T08:37:00.5385675Z 2025-09-07T08:37:00.5385773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5386103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5386402Z return mod(*inputs) 2025-09-07T08:37:00.5386680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5386980Z x = self.forward_features(x) 2025-09-07T08:37:00.5387307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5387626Z x = self.stages(x) 2025-09-07T08:37:00.5387908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5388212Z x = self.blocks(x) 2025-09-07T08:37:00.5388482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5388783Z x = self.conv_dw(x) 2025-09-07T08:37:00.5388875Z 2025-09-07T08:37:00.5388960Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5389163Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5389351Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5389547Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5389769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5390104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5390397Z return mod(*inputs) 2025-09-07T08:37:00.5390684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5390995Z x = self.forward_features(x) 2025-09-07T08:37:00.5391318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5391641Z x = self.stages(x) 2025-09-07T08:37:00.5391913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5392210Z x = self.blocks(x) 2025-09-07T08:37:00.5392487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5392783Z x = self.conv_dw(x) 2025-09-07T08:37:00.5392876Z 2025-09-07T08:37:00.5392973Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5393304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5393606Z return mod(*inputs) 2025-09-07T08:37:00.5393908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5394216Z x = self.forward_features(x) 2025-09-07T08:37:00.5394563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5394893Z x = self.stages(x) 2025-09-07T08:37:00.5395178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5395480Z x = self.blocks(x) 2025-09-07T08:37:00.5395755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5396059Z x = self.conv_dw(x) 2025-09-07T08:37:00.5396161Z 2025-09-07T08:37:00.5396258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5396595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5396896Z return mod(*inputs) 2025-09-07T08:37:00.5397175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5397491Z x = self.forward_features(x) 2025-09-07T08:37:00.5397831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5398155Z x = self.stages(x) 2025-09-07T08:37:00.5398422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5398720Z x = self.blocks(x) 2025-09-07T08:37:00.5398996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5399297Z x = self.conv_dw(x) 2025-09-07T08:37:00.5399388Z 2025-09-07T08:37:00.5399470Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5399660Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5399857Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5400057Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5400278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5400601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5400902Z return mod(*inputs) 2025-09-07T08:37:00.5401182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5401485Z x = self.forward_features(x) 2025-09-07T08:37:00.5401798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5402117Z x = self.stages(x) 2025-09-07T08:37:00.5402397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5402693Z x = self.blocks(x) 2025-09-07T08:37:00.5402964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5403268Z x = self.conv_dw(x) 2025-09-07T08:37:00.5403369Z 2025-09-07T08:37:00.5403465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5403803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5404105Z return mod(*inputs) 2025-09-07T08:37:00.5404376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5404684Z x = self.forward_features(x) 2025-09-07T08:37:00.5405002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5405323Z x = self.stages(x) 2025-09-07T08:37:00.5405592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5405891Z x = self.blocks(x) 2025-09-07T08:37:00.5406170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5406489Z x = self.conv_dw(x) 2025-09-07T08:37:00.5406580Z 2025-09-07T08:37:00.5406691Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5406889Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5407088Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5407275Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5407508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5407848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5408147Z return mod(*inputs) 2025-09-07T08:37:00.5408427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5408723Z x = self.forward_features(x) 2025-09-07T08:37:00.5409040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5409362Z x = self.stages(x) 2025-09-07T08:37:00.5409638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5409945Z x = self.blocks(x) 2025-09-07T08:37:00.5410225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5410522Z x = self.conv_dw(x) 2025-09-07T08:37:00.5410614Z 2025-09-07T08:37:00.5410718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5411046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5411339Z return mod(*inputs) 2025-09-07T08:37:00.5411616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5411922Z x = self.forward_features(x) 2025-09-07T08:37:00.5412245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5412561Z x = self.stages(x) 2025-09-07T08:37:00.5412844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5413145Z x = self.blocks(x) 2025-09-07T08:37:00.5413420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5413711Z x = self.conv_dw(x) 2025-09-07T08:37:00.5413814Z 2025-09-07T08:37:00.5413910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5414244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5414543Z return mod(*inputs) 2025-09-07T08:37:00.5414824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5415123Z x = self.forward_features(x) 2025-09-07T08:37:00.5415439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5415757Z x = self.stages(x) 2025-09-07T08:37:00.5416038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5416332Z x = self.blocks(x) 2025-09-07T08:37:00.5416612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5416911Z x = self.conv_dw(x) 2025-09-07T08:37:00.5417002Z 2025-09-07T08:37:00.5417087Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5417285Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5417472Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5417667Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5417887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5418217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5418538Z return mod(*inputs) 2025-09-07T08:37:00.5418822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5419163Z x = self.forward_features(x) 2025-09-07T08:37:00.5419489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5419803Z x = self.stages(x) 2025-09-07T08:37:00.5420085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5420384Z x = self.blocks(x) 2025-09-07T08:37:00.5420663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5420960Z x = self.conv_dw(x) 2025-09-07T08:37:00.5421053Z 2025-09-07T08:37:00.5421148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5421480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5421780Z return mod(*inputs) 2025-09-07T08:37:00.5422059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5422378Z x = self.forward_features(x) 2025-09-07T08:37:00.5422702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5423021Z x = self.stages(x) 2025-09-07T08:37:00.5423296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5423593Z x = self.blocks(x) 2025-09-07T08:37:00.5423865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5424163Z x = self.conv_dw(x) 2025-09-07T08:37:00.5424262Z 2025-09-07T08:37:00.5424336Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5424533Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5424720Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5424915Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5425136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5425472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5425766Z return mod(*inputs) 2025-09-07T08:37:00.5426053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5426360Z x = self.forward_features(x) 2025-09-07T08:37:00.5426686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5427005Z x = self.stages(x) 2025-09-07T08:37:00.5427282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5427583Z x = self.blocks(x) 2025-09-07T08:37:00.5427860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5428160Z x = self.conv_dw(x) 2025-09-07T08:37:00.5428251Z 2025-09-07T08:37:00.5428350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5428684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5428987Z return mod(*inputs) 2025-09-07T08:37:00.5429266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5429570Z x = self.forward_features(x) 2025-09-07T08:37:00.5429883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5430205Z x = self.stages(x) 2025-09-07T08:37:00.5430484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5430782Z x = self.blocks(x) 2025-09-07T08:37:00.5431052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5431367Z x = self.conv_dw(x) 2025-09-07T08:37:00.5431468Z 2025-09-07T08:37:00.5431590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5431928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5432225Z return mod(*inputs) 2025-09-07T08:37:00.5432490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5432797Z x = self.forward_features(x) 2025-09-07T08:37:00.5433117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5433440Z x = self.stages(x) 2025-09-07T08:37:00.5433710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5434010Z x = self.blocks(x) 2025-09-07T08:37:00.5434287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5434582Z x = self.conv_dw(x) 2025-09-07T08:37:00.5434692Z 2025-09-07T08:37:00.5434775Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5434967Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5435162Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5435354Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5435571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5435892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5436197Z return mod(*inputs) 2025-09-07T08:37:00.5436480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5436786Z x = self.forward_features(x) 2025-09-07T08:37:00.5437102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5437423Z x = self.stages(x) 2025-09-07T08:37:00.5437706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5438008Z x = self.blocks(x) 2025-09-07T08:37:00.5438285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5438575Z x = self.conv_dw(x) 2025-09-07T08:37:00.5438673Z 2025-09-07T08:37:00.5438769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5439100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5439398Z return mod(*inputs) 2025-09-07T08:37:00.5439672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5439981Z x = self.forward_features(x) 2025-09-07T08:37:00.5440306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5440630Z x = self.stages(x) 2025-09-07T08:37:00.5440913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5441207Z x = self.blocks(x) 2025-09-07T08:37:00.5441480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5441779Z x = self.conv_dw(x) 2025-09-07T08:37:00.5441870Z 2025-09-07T08:37:00.5441951Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5442138Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5442335Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5442531Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5442750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5443071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5443390Z return mod(*inputs) 2025-09-07T08:37:00.5443702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5444003Z x = self.forward_features(x) 2025-09-07T08:37:00.5444328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5444651Z x = self.stages(x) 2025-09-07T08:37:00.5444931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5444990Z x = self.blocks(x) 2025-09-07T08:37:00.5445170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5445239Z x = self.conv_dw(x) 2025-09-07T08:37:00.5445242Z 2025-09-07T08:37:00.5445338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5445532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5445594Z return mod(*inputs) 2025-09-07T08:37:00.5445782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5445866Z x = self.forward_features(x) 2025-09-07T08:37:00.5446073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5446142Z x = self.stages(x) 2025-09-07T08:37:00.5446323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5446391Z x = self.blocks(x) 2025-09-07T08:37:00.5446574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5446635Z x = self.conv_dw(x) 2025-09-07T08:37:00.5446638Z 2025-09-07T08:37:00.5446742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5446924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5446996Z return mod(*inputs) 2025-09-07T08:37:00.5447179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5447246Z x = self.forward_features(x) 2025-09-07T08:37:00.5447464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5447523Z x = self.stages(x) 2025-09-07T08:37:00.5447709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5447768Z x = self.blocks(x) 2025-09-07T08:37:00.5447949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5448018Z x = self.conv_dw(x) 2025-09-07T08:37:00.5448020Z 2025-09-07T08:37:00.5448092Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5448173Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5448245Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5448315Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5448423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5448606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5448672Z return mod(*inputs) 2025-09-07T08:37:00.5448890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5448966Z x = self.forward_features(x) 2025-09-07T08:37:00.5449170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5449229Z x = self.stages(x) 2025-09-07T08:37:00.5449416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5449474Z x = self.blocks(x) 2025-09-07T08:37:00.5449697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5449758Z x = self.conv_dw(x) 2025-09-07T08:37:00.5449806Z 2025-09-07T08:37:00.5449904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5450092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5450153Z return mod(*inputs) 2025-09-07T08:37:00.5450343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5450409Z x = self.forward_features(x) 2025-09-07T08:37:00.5450612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5450682Z x = self.stages(x) 2025-09-07T08:37:00.5450860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5450930Z x = self.blocks(x) 2025-09-07T08:37:00.5451109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5451204Z x = self.conv_dw(x) 2025-09-07T08:37:00.5451207Z 2025-09-07T08:37:00.5451286Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5451359Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5451437Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5451508Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5451606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5451796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5451858Z return mod(*inputs) 2025-09-07T08:37:00.5452046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5452110Z x = self.forward_features(x) 2025-09-07T08:37:00.5452312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5452384Z x = self.stages(x) 2025-09-07T08:37:00.5452571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 230, in forward 2025-09-07T08:37:00.5452651Z x = self.downsample(x) 2025-09-07T08:37:00.5452655Z 2025-09-07T08:37:00.5452758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5452937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5452999Z return mod(*inputs) 2025-09-07T08:37:00.5453188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5453252Z x = self.forward_features(x) 2025-09-07T08:37:00.5453460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5453518Z x = self.stages(x) 2025-09-07T08:37:00.5453703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 230, in forward 2025-09-07T08:37:00.5453785Z x = self.downsample(x) 2025-09-07T08:37:00.5453789Z 2025-09-07T08:37:00.5453882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5454067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5454127Z return mod(*inputs) 2025-09-07T08:37:00.5454306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5454379Z x = self.forward_features(x) 2025-09-07T08:37:00.5454580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5454646Z x = self.stages(x) 2025-09-07T08:37:00.5454827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5454904Z x = self.blocks(x) 2025-09-07T08:37:00.5455090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5455196Z x = self.conv_dw(x) 2025-09-07T08:37:00.5455199Z 2025-09-07T08:37:00.5455305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5455481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5455546Z return mod(*inputs) 2025-09-07T08:37:00.5455722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5455788Z x = self.forward_features(x) 2025-09-07T08:37:00.5455994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5456053Z x = self.stages(x) 2025-09-07T08:37:00.5456236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5456298Z x = self.blocks(x) 2025-09-07T08:37:00.5456481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5456566Z x = self.conv_dw(x) 2025-09-07T08:37:00.5456569Z 2025-09-07T08:37:00.5456642Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5456721Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5456791Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5456861Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5456963Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5457141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5457208Z return mod(*inputs) 2025-09-07T08:37:00.5457386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5457450Z x = self.forward_features(x) 2025-09-07T08:37:00.5457663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5457723Z x = self.stages(x) 2025-09-07T08:37:00.5457915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5457975Z x = self.blocks(x) 2025-09-07T08:37:00.5458155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5458219Z x = self.conv_dw(x) 2025-09-07T08:37:00.5458222Z 2025-09-07T08:37:00.5458313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5458496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5458555Z return mod(*inputs) 2025-09-07T08:37:00.5458742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5458807Z x = self.forward_features(x) 2025-09-07T08:37:00.5459007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5459077Z x = self.stages(x) 2025-09-07T08:37:00.5459257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5459325Z x = self.blocks(x) 2025-09-07T08:37:00.5459504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5459563Z x = self.conv_dw(x) 2025-09-07T08:37:00.5459565Z 2025-09-07T08:37:00.5459668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5459847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5459916Z return mod(*inputs) 2025-09-07T08:37:00.5460095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5460177Z x = self.forward_features(x) 2025-09-07T08:37:00.5460420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5460483Z x = self.stages(x) 2025-09-07T08:37:00.5460669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5460728Z x = self.blocks(x) 2025-09-07T08:37:00.5460909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5460976Z x = self.conv_dw(x) 2025-09-07T08:37:00.5460978Z 2025-09-07T08:37:00.5461051Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5461129Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5461201Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5461271Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5461373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5461555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5461623Z return mod(*inputs) 2025-09-07T08:37:00.5461817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5461883Z x = self.forward_features(x) 2025-09-07T08:37:00.5462093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5462151Z x = self.stages(x) 2025-09-07T08:37:00.5462341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5462399Z x = self.blocks(x) 2025-09-07T08:37:00.5462585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5462643Z x = self.conv_dw(x) 2025-09-07T08:37:00.5462646Z 2025-09-07T08:37:00.5462741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:00.5462927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:00.5462991Z return mod(*inputs) 2025-09-07T08:37:00.5463178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 507, in forward 2025-09-07T08:37:00.5463243Z x = self.forward_features(x) 2025-09-07T08:37:00.5463444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 499, in forward_features 2025-09-07T08:37:00.5463510Z x = self.stages(x) 2025-09-07T08:37:00.5463689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 234, in forward 2025-09-07T08:37:00.5463755Z x = self.blocks(x) 2025-09-07T08:37:00.5463931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/convnext.py", line 153, in forward 2025-09-07T08:37:00.5463991Z x = self.conv_dw(x) 2025-09-07T08:37:00.5463995Z 2025-09-07T08:37:00.5464074Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5464144Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5464222Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5464292Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5464362Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5464437Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5464506Z cudagraph partition due to non gpu ops 2025-09-07T08:37:00.5464582Z cudagraph partition due to non gpu ops 2025-09-07T08:37:19.8029618Z pass 2025-09-07T08:37:19.8030033Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:22.0005641Z /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. 2025-09-07T08:37:22.0006835Z import pynvml # type: ignore[import] 2025-09-07T08:37:24.1811029Z 2025-09-07T08:37:24.5494265Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:24.5495052Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:24.5495391Z cpu eval crossvit_9_240 2025-09-07T08:37:24.6478414Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:24.7225858Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:24.7944222Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:40.1589366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1589788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1590118Z return mod(*inputs) 2025-09-07T08:37:40.1590445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1590810Z xs = self.forward_features(x) 2025-09-07T08:37:40.1591182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1591763Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1592103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1592547Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1592780Z 2025-09-07T08:37:40.1592887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1593249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1593565Z return mod(*inputs) 2025-09-07T08:37:40.1593860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1594274Z xs = self.forward_features(x) 2025-09-07T08:37:40.1594622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1594980Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1595318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1595744Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1595971Z 2025-09-07T08:37:40.1596074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1596420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1596737Z return mod(*inputs) 2025-09-07T08:37:40.1597030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1597361Z xs = self.forward_features(x) 2025-09-07T08:37:40.1597703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1598059Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1598395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1598810Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1599030Z 2025-09-07T08:37:40.1599132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1599482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1599790Z return mod(*inputs) 2025-09-07T08:37:40.1600077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1600402Z xs = self.forward_features(x) 2025-09-07T08:37:40.1600734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1601174Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1601600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1602012Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1602233Z 2025-09-07T08:37:40.1602334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1602676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1602983Z return mod(*inputs) 2025-09-07T08:37:40.1603278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1603587Z xs = self.forward_features(x) 2025-09-07T08:37:40.1603919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1604268Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1604613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1605042Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1605260Z 2025-09-07T08:37:40.1605359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1605709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1606036Z return mod(*inputs) 2025-09-07T08:37:40.1606336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1606672Z xs = self.forward_features(x) 2025-09-07T08:37:40.1607010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1607376Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1607714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1608160Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1608375Z 2025-09-07T08:37:40.1608475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1608821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1609155Z return mod(*inputs) 2025-09-07T08:37:40.1609452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1609774Z xs = self.forward_features(x) 2025-09-07T08:37:40.1610110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1610475Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1610810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1611238Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1611450Z 2025-09-07T08:37:40.1611549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1611889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1612195Z return mod(*inputs) 2025-09-07T08:37:40.1612490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1612798Z xs = self.forward_features(x) 2025-09-07T08:37:40.1613125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1613473Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1613808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1614243Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1615669Z 2025-09-07T08:37:40.1615780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1616123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1616458Z return mod(*inputs) 2025-09-07T08:37:40.1616751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1617076Z xs = self.forward_features(x) 2025-09-07T08:37:40.1617410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 438, in forward_features 2025-09-07T08:37:40.1617746Z x_ = patch_embed(x_) 2025-09-07T08:37:40.1618035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 83, in forward 2025-09-07T08:37:40.1618371Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:37:40.1618517Z 2025-09-07T08:37:40.1618597Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1618833Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1619067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1619403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1619709Z return mod(*inputs) 2025-09-07T08:37:40.1620000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1620320Z xs = self.forward_features(x) 2025-09-07T08:37:40.1620642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1620989Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1621322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1621738Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1621948Z 2025-09-07T08:37:40.1622058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1622398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1622711Z return mod(*inputs) 2025-09-07T08:37:40.1623003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1623322Z xs = self.forward_features(x) 2025-09-07T08:37:40.1623652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1623992Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1624323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1624738Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1624950Z 2025-09-07T08:37:40.1625056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1625392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1625696Z return mod(*inputs) 2025-09-07T08:37:40.1625984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1626300Z xs = self.forward_features(x) 2025-09-07T08:37:40.1626635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1626975Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1627310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1627708Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1627938Z 2025-09-07T08:37:40.1628041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1628413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1628709Z return mod(*inputs) 2025-09-07T08:37:40.1628993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1629303Z xs = self.forward_features(x) 2025-09-07T08:37:40.1629634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 437, in forward_features 2025-09-07T08:37:40.1629966Z x_ = scale_image(x_, ss, self.crop_scale) 2025-09-07T08:37:40.1630293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 291, in scale_image 2025-09-07T08:37:40.1630704Z x = torch.nn.functional.interpolate(x, size=ss, mode='bicubic', align_corners=False) 2025-09-07T08:37:40.1630912Z 2025-09-07T08:37:40.1631020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1631357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1631686Z return mod(*inputs) 2025-09-07T08:37:40.1631974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1632287Z xs = self.forward_features(x) 2025-09-07T08:37:40.1632609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 438, in forward_features 2025-09-07T08:37:40.1632935Z x_ = patch_embed(x_) 2025-09-07T08:37:40.1633217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 83, in forward 2025-09-07T08:37:40.1633555Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:37:40.1633692Z 2025-09-07T08:37:40.1633804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1634143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1634444Z return mod(*inputs) 2025-09-07T08:37:40.1634738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1635059Z xs = self.forward_features(x) 2025-09-07T08:37:40.1635391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 438, in forward_features 2025-09-07T08:37:40.1635727Z x_ = patch_embed(x_) 2025-09-07T08:37:40.1636010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 83, in forward 2025-09-07T08:37:40.1636337Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:37:40.1636471Z 2025-09-07T08:37:40.1636578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1636913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1637212Z return mod(*inputs) 2025-09-07T08:37:40.1637502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1637818Z xs = self.forward_features(x) 2025-09-07T08:37:40.1638151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 438, in forward_features 2025-09-07T08:37:40.1638484Z x_ = patch_embed(x_) 2025-09-07T08:37:40.1638769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 83, in forward 2025-09-07T08:37:40.1639096Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:37:40.1639230Z 2025-09-07T08:37:40.1639337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1639678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1639977Z return mod(*inputs) 2025-09-07T08:37:40.1640268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1640613Z xs = self.forward_features(x) 2025-09-07T08:37:40.1640980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 441, in forward_features 2025-09-07T08:37:40.1641338Z x_ = torch.cat((cls_tokens, x_), dim=1) 2025-09-07T08:37:40.1641466Z 2025-09-07T08:37:40.1641564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1641913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1642213Z return mod(*inputs) 2025-09-07T08:37:40.1642500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1642802Z xs = self.forward_features(x) 2025-09-07T08:37:40.1643129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 441, in forward_features 2025-09-07T08:37:40.1643467Z x_ = torch.cat((cls_tokens, x_), dim=1) 2025-09-07T08:37:40.1643592Z 2025-09-07T08:37:40.1643699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1644039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1644376Z return mod(*inputs) 2025-09-07T08:37:40.1644667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1644982Z xs = self.forward_features(x) 2025-09-07T08:37:40.1645313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 438, in forward_features 2025-09-07T08:37:40.1645633Z x_ = patch_embed(x_) 2025-09-07T08:37:40.1645927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 83, in forward 2025-09-07T08:37:40.1646255Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:37:40.1646388Z 2025-09-07T08:37:40.1646498Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1646839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1647135Z return mod(*inputs) 2025-09-07T08:37:40.1647433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1647747Z xs = self.forward_features(x) 2025-09-07T08:37:40.1648076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 438, in forward_features 2025-09-07T08:37:40.1648394Z x_ = patch_embed(x_) 2025-09-07T08:37:40.1648687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 83, in forward 2025-09-07T08:37:40.1649095Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:37:40.1649226Z 2025-09-07T08:37:40.1649311Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1649539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1649867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1650175Z return mod(*inputs) 2025-09-07T08:37:40.1650460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1650776Z xs = self.forward_features(x) 2025-09-07T08:37:40.1651094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 441, in forward_features 2025-09-07T08:37:40.1651431Z x_ = torch.cat((cls_tokens, x_), dim=1) 2025-09-07T08:37:40.1651561Z 2025-09-07T08:37:40.1651658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1651993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1652294Z return mod(*inputs) 2025-09-07T08:37:40.1652567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1652875Z xs = self.forward_features(x) 2025-09-07T08:37:40.1653246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 441, in forward_features 2025-09-07T08:37:40.1653626Z x_ = torch.cat((cls_tokens, x_), dim=1) 2025-09-07T08:37:40.1653754Z 2025-09-07T08:37:40.1653840Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1654040Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1654242Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1654465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1654802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1655099Z return mod(*inputs) 2025-09-07T08:37:40.1655386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1655699Z xs = self.forward_features(x) 2025-09-07T08:37:40.1656024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1656341Z xs = blk(xs) 2025-09-07T08:37:40.1656620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1656966Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1657303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1657681Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1658046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1658386Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1658520Z 2025-09-07T08:37:40.1658595Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1658797Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1658988Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1659188Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1659412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1659748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1660047Z return mod(*inputs) 2025-09-07T08:37:40.1660335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1660647Z xs = self.forward_features(x) 2025-09-07T08:37:40.1660970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1661294Z xs = blk(xs) 2025-09-07T08:37:40.1661566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1661877Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1662205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1662580Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1662938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1663274Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1663405Z 2025-09-07T08:37:40.1663480Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1663678Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1663872Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1664056Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1664247Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1664444Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1664636Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1664822Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1665016Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1665211Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1665404Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1665610Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1665829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1666196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1666500Z return mod(*inputs) 2025-09-07T08:37:40.1666778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1667094Z xs = self.forward_features(x) 2025-09-07T08:37:40.1667418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1667740Z xs = blk(xs) 2025-09-07T08:37:40.1668016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1668400Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1668609Z 2025-09-07T08:37:40.1668684Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1668885Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1669082Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1669321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1669669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1669982Z return mod(*inputs) 2025-09-07T08:37:40.1670278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1670609Z xs = self.forward_features(x) 2025-09-07T08:37:40.1670930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1671256Z xs = blk(xs) 2025-09-07T08:37:40.1671537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1671854Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1672188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1672573Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1672944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1673295Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1673423Z 2025-09-07T08:37:40.1673510Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1673703Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1673935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1674279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1674590Z return mod(*inputs) 2025-09-07T08:37:40.1674873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1675192Z xs = self.forward_features(x) 2025-09-07T08:37:40.1675526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1675853Z xs = blk(xs) 2025-09-07T08:37:40.1676130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1676445Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1676777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1677148Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1677303Z 2025-09-07T08:37:40.1677385Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1677581Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1677788Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1677989Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1678201Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1678391Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1678591Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1678867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1679202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1679496Z return mod(*inputs) 2025-09-07T08:37:40.1679783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1680094Z xs = self.forward_features(x) 2025-09-07T08:37:40.1680417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1680735Z xs = blk(xs) 2025-09-07T08:37:40.1681004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1681315Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1681640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1682012Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1682382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1682722Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1682853Z 2025-09-07T08:37:40.1682928Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1683126Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1683319Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1683509Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1683701Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1683899Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1684095Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1684309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1684645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1684946Z return mod(*inputs) 2025-09-07T08:37:40.1685236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1685536Z xs = self.forward_features(x) 2025-09-07T08:37:40.1685860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1686181Z xs = blk(xs) 2025-09-07T08:37:40.1686458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1686844Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1687036Z 2025-09-07T08:37:40.1687110Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1687310Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1687505Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1687727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1688056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1688356Z return mod(*inputs) 2025-09-07T08:37:40.1688640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1688949Z xs = self.forward_features(x) 2025-09-07T08:37:40.1689275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1689592Z xs = blk(xs) 2025-09-07T08:37:40.1689866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1690171Z tmp = fusion(tmp) 2025-09-07T08:37:40.1690460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1690816Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1691185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T08:37:40.1691581Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:37:40.1691778Z 2025-09-07T08:37:40.1691861Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1692062Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1692277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1692623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1692935Z return mod(*inputs) 2025-09-07T08:37:40.1693228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1693530Z xs = self.forward_features(x) 2025-09-07T08:37:40.1698261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1698628Z xs = blk(xs) 2025-09-07T08:37:40.1698925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1699424Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1699626Z 2025-09-07T08:37:40.1699744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1700096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1700418Z return mod(*inputs) 2025-09-07T08:37:40.1700728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1701052Z xs = self.forward_features(x) 2025-09-07T08:37:40.1701386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1701719Z xs = blk(xs) 2025-09-07T08:37:40.1702005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1702401Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1702596Z 2025-09-07T08:37:40.1702686Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1702892Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1703229Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1703432Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1703661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1704001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1704309Z return mod(*inputs) 2025-09-07T08:37:40.1704613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1704940Z xs = self.forward_features(x) 2025-09-07T08:37:40.1705284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1705607Z xs = blk(xs) 2025-09-07T08:37:40.1705897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1706206Z tmp = fusion(tmp) 2025-09-07T08:37:40.1706495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1706833Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1707172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T08:37:40.1707575Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T08:37:40.1707777Z 2025-09-07T08:37:40.1707888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1708266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1708612Z return mod(*inputs) 2025-09-07T08:37:40.1708911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1709234Z xs = self.forward_features(x) 2025-09-07T08:37:40.1709568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1709897Z xs = blk(xs) 2025-09-07T08:37:40.1710173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1710483Z tmp = fusion(tmp) 2025-09-07T08:37:40.1710771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1711106Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1711439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T08:37:40.1711836Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:37:40.1712062Z 2025-09-07T08:37:40.1712139Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1712339Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1712540Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1712732Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1712931Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1713125Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1713318Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1713509Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1713732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1714069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1714375Z return mod(*inputs) 2025-09-07T08:37:40.1714657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1714968Z xs = self.forward_features(x) 2025-09-07T08:37:40.1715291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1715613Z xs = blk(xs) 2025-09-07T08:37:40.1715883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1716183Z tmp = fusion(tmp) 2025-09-07T08:37:40.1716467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1716802Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1717139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T08:37:40.1717518Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T08:37:40.1717723Z 2025-09-07T08:37:40.1717804Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1718009Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1718210Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1718397Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1718615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1718951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1719252Z return mod(*inputs) 2025-09-07T08:37:40.1719543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1719841Z xs = self.forward_features(x) 2025-09-07T08:37:40.1720167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1720931Z xs = blk(xs) 2025-09-07T08:37:40.1721210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1721607Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1721792Z 2025-09-07T08:37:40.1721892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1722230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1722540Z return mod(*inputs) 2025-09-07T08:37:40.1722837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1723144Z xs = self.forward_features(x) 2025-09-07T08:37:40.1723474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1723794Z xs = blk(xs) 2025-09-07T08:37:40.1724070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1724428Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1724630Z 2025-09-07T08:37:40.1724704Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1724903Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1725104Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1725329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1725658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1725963Z return mod(*inputs) 2025-09-07T08:37:40.1726281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1726595Z xs = self.forward_features(x) 2025-09-07T08:37:40.1726923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1727247Z xs = blk(xs) 2025-09-07T08:37:40.1727515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1727882Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1728061Z 2025-09-07T08:37:40.1728163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1728504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1728799Z return mod(*inputs) 2025-09-07T08:37:40.1729094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1729405Z xs = self.forward_features(x) 2025-09-07T08:37:40.1729732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1730053Z xs = blk(xs) 2025-09-07T08:37:40.1730321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1730685Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1730868Z 2025-09-07T08:37:40.1730943Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1731146Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1731339Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1731567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1731907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1732213Z return mod(*inputs) 2025-09-07T08:37:40.1732505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1732810Z xs = self.forward_features(x) 2025-09-07T08:37:40.1733132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1733484Z xs = blk(xs) 2025-09-07T08:37:40.1733756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1734083Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1734420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1734802Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1735172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1735517Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1735645Z 2025-09-07T08:37:40.1735721Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1735921Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1736117Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1736314Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1736532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1736872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1737205Z return mod(*inputs) 2025-09-07T08:37:40.1737502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1737810Z xs = self.forward_features(x) 2025-09-07T08:37:40.1738140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1738462Z xs = blk(xs) 2025-09-07T08:37:40.1738755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1739078Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1739413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1739793Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1740167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1740515Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1740644Z 2025-09-07T08:37:40.1740721Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1740927Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1741129Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1741330Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1741530Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1741726Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1741932Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1742134Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1742335Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1742528Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1742731Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1742938Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1743168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1743513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1743826Z return mod(*inputs) 2025-09-07T08:37:40.1744118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1744436Z xs = self.forward_features(x) 2025-09-07T08:37:40.1744759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1745085Z xs = blk(xs) 2025-09-07T08:37:40.1745365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1745757Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1745954Z 2025-09-07T08:37:40.1746050Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1746241Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1746438Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1746692Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1747025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1747317Z return mod(*inputs) 2025-09-07T08:37:40.1747604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1747912Z xs = self.forward_features(x) 2025-09-07T08:37:40.1748235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1748543Z xs = blk(xs) 2025-09-07T08:37:40.1748902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1749220Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1749562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1749942Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1750360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1750696Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1750830Z 2025-09-07T08:37:40.1750906Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1751105Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1751295Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1751496Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1751697Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1751899Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1752129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1752468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1752784Z return mod(*inputs) 2025-09-07T08:37:40.1753088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1753402Z xs = self.forward_features(x) 2025-09-07T08:37:40.1753718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1754043Z xs = blk(xs) 2025-09-07T08:37:40.1754323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1754633Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1754955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-09-07T08:37:40.1755324Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-09-07T08:37:40.1755486Z 2025-09-07T08:37:40.1755559Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1755789Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1756068Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1756292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1756629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1756927Z return mod(*inputs) 2025-09-07T08:37:40.1757213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1757512Z xs = self.forward_features(x) 2025-09-07T08:37:40.1757830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1758149Z xs = blk(xs) 2025-09-07T08:37:40.1758424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1758728Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1759085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1759494Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1759858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1760201Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1760324Z 2025-09-07T08:37:40.1760397Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1760598Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1760797Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1760992Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1761186Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1761374Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1761571Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1761793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1762135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1762430Z return mod(*inputs) 2025-09-07T08:37:40.1762746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1763054Z xs = self.forward_features(x) 2025-09-07T08:37:40.1763376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1763691Z xs = blk(xs) 2025-09-07T08:37:40.1763964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1764348Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1764540Z 2025-09-07T08:37:40.1764624Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1764820Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1765009Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1765238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1765573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1765874Z return mod(*inputs) 2025-09-07T08:37:40.1766154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1766463Z xs = self.forward_features(x) 2025-09-07T08:37:40.1766783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1767102Z xs = blk(xs) 2025-09-07T08:37:40.1767367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1767669Z tmp = fusion(tmp) 2025-09-07T08:37:40.1767951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1768288Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1768624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T08:37:40.1769004Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:37:40.1769202Z 2025-09-07T08:37:40.1769280Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1769478Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1769705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1770043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1770338Z return mod(*inputs) 2025-09-07T08:37:40.1770623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1770929Z xs = self.forward_features(x) 2025-09-07T08:37:40.1771247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1771580Z xs = blk(xs) 2025-09-07T08:37:40.1771879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1772263Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1772454Z 2025-09-07T08:37:40.1772558Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1772890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1773180Z return mod(*inputs) 2025-09-07T08:37:40.1773462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1773768Z xs = self.forward_features(x) 2025-09-07T08:37:40.1774091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1774401Z xs = blk(xs) 2025-09-07T08:37:40.1774673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1775086Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1775274Z 2025-09-07T08:37:40.1775355Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1775555Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1775745Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1775947Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1776165Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1776497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1776794Z return mod(*inputs) 2025-09-07T08:37:40.1777078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1777390Z xs = self.forward_features(x) 2025-09-07T08:37:40.1777717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1778042Z xs = blk(xs) 2025-09-07T08:37:40.1778309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1778606Z tmp = fusion(tmp) 2025-09-07T08:37:40.1778893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1779224Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1779547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T08:37:40.1779940Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T08:37:40.1780142Z 2025-09-07T08:37:40.1780243Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1780580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1780882Z return mod(*inputs) 2025-09-07T08:37:40.1781162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1781475Z xs = self.forward_features(x) 2025-09-07T08:37:40.1781801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1782117Z xs = blk(xs) 2025-09-07T08:37:40.1782381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1782677Z tmp = fusion(tmp) 2025-09-07T08:37:40.1782954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1783279Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1783663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T08:37:40.1784097Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:37:40.1784305Z 2025-09-07T08:37:40.1784381Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1784584Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1784781Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1784968Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1785164Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1785360Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1785556Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1785741Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1785962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1786300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1786608Z return mod(*inputs) 2025-09-07T08:37:40.1786898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1787218Z xs = self.forward_features(x) 2025-09-07T08:37:40.1787542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1787861Z xs = blk(xs) 2025-09-07T08:37:40.1788136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1788423Z tmp = fusion(tmp) 2025-09-07T08:37:40.1788701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1789028Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1789358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T08:37:40.1789739Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T08:37:40.1789934Z 2025-09-07T08:37:40.1790012Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1790215Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1790407Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1790601Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1790813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1791148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1791450Z return mod(*inputs) 2025-09-07T08:37:40.1791735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1792037Z xs = self.forward_features(x) 2025-09-07T08:37:40.1792351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1792669Z xs = blk(xs) 2025-09-07T08:37:40.1792944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1793320Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1793492Z 2025-09-07T08:37:40.1793591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1793922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1794222Z return mod(*inputs) 2025-09-07T08:37:40.1794508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1794818Z xs = self.forward_features(x) 2025-09-07T08:37:40.1795132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1795452Z xs = blk(xs) 2025-09-07T08:37:40.1795722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1796100Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1796270Z 2025-09-07T08:37:40.1796372Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1796574Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1796771Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1796993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1797351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1797649Z return mod(*inputs) 2025-09-07T08:37:40.1797933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1798238Z xs = self.forward_features(x) 2025-09-07T08:37:40.1798560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1798870Z xs = blk(xs) 2025-09-07T08:37:40.1799140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1799520Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1799691Z 2025-09-07T08:37:40.1799794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1800127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1800422Z return mod(*inputs) 2025-09-07T08:37:40.1800705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1801015Z xs = self.forward_features(x) 2025-09-07T08:37:40.1801335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1801644Z xs = blk(xs) 2025-09-07T08:37:40.1801920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1802281Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1802451Z 2025-09-07T08:37:40.1802537Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1802738Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1802927Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1803148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1803486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1803785Z return mod(*inputs) 2025-09-07T08:37:40.1804060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1804366Z xs = self.forward_features(x) 2025-09-07T08:37:40.1804694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1805012Z xs = blk(xs) 2025-09-07T08:37:40.1805278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1805592Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1805922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1806297Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1806661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1806990Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1807123Z 2025-09-07T08:37:40.1807197Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1807394Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1807593Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1807780Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1808004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1808357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1808694Z return mod(*inputs) 2025-09-07T08:37:40.1808984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1809289Z xs = self.forward_features(x) 2025-09-07T08:37:40.1809613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1809931Z xs = blk(xs) 2025-09-07T08:37:40.1810200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1810500Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1810826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1811194Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1811558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1811897Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1812036Z 2025-09-07T08:37:40.1812109Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1812308Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1812504Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1812695Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1812880Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1813073Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1813263Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1813457Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1813647Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1813843Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1814043Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1814240Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1814454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1814797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1815105Z return mod(*inputs) 2025-09-07T08:37:40.1815392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1815695Z xs = self.forward_features(x) 2025-09-07T08:37:40.1816023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1816348Z xs = blk(xs) 2025-09-07T08:37:40.1816625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1817013Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1817207Z 2025-09-07T08:37:40.1817281Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1817486Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1817681Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1817908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1818237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1818538Z return mod(*inputs) 2025-09-07T08:37:40.1818827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1819137Z xs = self.forward_features(x) 2025-09-07T08:37:40.1819462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1819777Z xs = blk(xs) 2025-09-07T08:37:40.1820052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1820357Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1820705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1821109Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1821476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1821811Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1821936Z 2025-09-07T08:37:40.1822017Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1822213Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1822401Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1822597Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1822790Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1822981Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1823192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1823525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1823828Z return mod(*inputs) 2025-09-07T08:37:40.1824111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1824427Z xs = self.forward_features(x) 2025-09-07T08:37:40.1824753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1825070Z xs = blk(xs) 2025-09-07T08:37:40.1825343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1825647Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1825966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-09-07T08:37:40.1826336Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-09-07T08:37:40.1826494Z 2025-09-07T08:37:40.1826566Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1826767Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1826952Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1827177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1827511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1827814Z return mod(*inputs) 2025-09-07T08:37:40.1828098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1828400Z xs = self.forward_features(x) 2025-09-07T08:37:40.1828725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1829047Z xs = blk(xs) 2025-09-07T08:37:40.1829324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T08:37:40.1829624Z outs_b.append(block(x[i])) 2025-09-07T08:37:40.1829943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:37:40.1830317Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:37:40.1830678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:37:40.1831012Z x = F.scaled_dot_product_attention( 2025-09-07T08:37:40.1831134Z 2025-09-07T08:37:40.1831217Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1831415Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1831614Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1831811Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1831995Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1832189Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1832410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1832744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1833059Z return mod(*inputs) 2025-09-07T08:37:40.1833369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1833685Z xs = self.forward_features(x) 2025-09-07T08:37:40.1834008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1834329Z xs = blk(xs) 2025-09-07T08:37:40.1834598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1834986Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1835187Z 2025-09-07T08:37:40.1835261Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1835461Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1835670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1836007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1836311Z return mod(*inputs) 2025-09-07T08:37:40.1836599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1836922Z xs = self.forward_features(x) 2025-09-07T08:37:40.1837233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1837548Z xs = blk(xs) 2025-09-07T08:37:40.1837823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1838123Z tmp = fusion(tmp) 2025-09-07T08:37:40.1838397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1838726Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1839058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T08:37:40.1839442Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:37:40.1839639Z 2025-09-07T08:37:40.1839723Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1839911Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1840134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1840468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1840766Z return mod(*inputs) 2025-09-07T08:37:40.1841039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1841348Z xs = self.forward_features(x) 2025-09-07T08:37:40.1841671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1841996Z xs = blk(xs) 2025-09-07T08:37:40.1842268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1842644Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1842845Z 2025-09-07T08:37:40.1842944Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1843278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1843576Z return mod(*inputs) 2025-09-07T08:37:40.1843850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1844159Z xs = self.forward_features(x) 2025-09-07T08:37:40.1844477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1844800Z xs = blk(xs) 2025-09-07T08:37:40.1845070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T08:37:40.1845461Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1845664Z 2025-09-07T08:37:40.1845768Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1845971Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1846168Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1846357Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1846580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1846914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1847213Z return mod(*inputs) 2025-09-07T08:37:40.1847498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1847794Z xs = self.forward_features(x) 2025-09-07T08:37:40.1848118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1848438Z xs = blk(xs) 2025-09-07T08:37:40.1848710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1849092Z tmp = fusion(tmp) 2025-09-07T08:37:40.1849375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1849716Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1850051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T08:37:40.1850443Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T08:37:40.1850643Z 2025-09-07T08:37:40.1850742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1851081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1851392Z return mod(*inputs) 2025-09-07T08:37:40.1851678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1851986Z xs = self.forward_features(x) 2025-09-07T08:37:40.1852315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1852637Z xs = blk(xs) 2025-09-07T08:37:40.1852910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1853212Z tmp = fusion(tmp) 2025-09-07T08:37:40.1853486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1853819Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1854150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T08:37:40.1854540Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:37:40.1854732Z 2025-09-07T08:37:40.1854815Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1855014Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1855214Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1855410Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1855607Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1855796Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1855991Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1856188Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1856407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1856737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1857043Z return mod(*inputs) 2025-09-07T08:37:40.1857328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1857673Z xs = self.forward_features(x) 2025-09-07T08:37:40.1858037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1858365Z xs = blk(xs) 2025-09-07T08:37:40.1858643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T08:37:40.1858950Z tmp = fusion(tmp) 2025-09-07T08:37:40.1859234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T08:37:40.1859560Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:37:40.1859894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T08:37:40.1860280Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T08:37:40.1860477Z 2025-09-07T08:37:40.1860563Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1860754Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1860955Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1861178Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1861403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1861746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1862044Z return mod(*inputs) 2025-09-07T08:37:40.1862335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1862649Z xs = self.forward_features(x) 2025-09-07T08:37:40.1862978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1863293Z xs = blk(xs) 2025-09-07T08:37:40.1863572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1863938Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1864113Z 2025-09-07T08:37:40.1864221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1864559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1864853Z return mod(*inputs) 2025-09-07T08:37:40.1865142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1865453Z xs = self.forward_features(x) 2025-09-07T08:37:40.1865778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1866091Z xs = blk(xs) 2025-09-07T08:37:40.1866371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1866739Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1866914Z 2025-09-07T08:37:40.1866999Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1867230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1867566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1867871Z return mod(*inputs) 2025-09-07T08:37:40.1868160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T08:37:40.1868472Z x = self.forward_head(xs) 2025-09-07T08:37:40.1868783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T08:37:40.1869214Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1869635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T08:37:40.1870050Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1870275Z 2025-09-07T08:37:40.1870361Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1870623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1870962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1871267Z return mod(*inputs) 2025-09-07T08:37:40.1871554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T08:37:40.1871861Z x = self.forward_head(xs) 2025-09-07T08:37:40.1872167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T08:37:40.1872585Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1872993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T08:37:40.1873395Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1873603Z 2025-09-07T08:37:40.1873727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1874052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1874358Z return mod(*inputs) 2025-09-07T08:37:40.1874644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1874955Z xs = self.forward_features(x) 2025-09-07T08:37:40.1875274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1875592Z xs = blk(xs) 2025-09-07T08:37:40.1875872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1876235Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1876409Z 2025-09-07T08:37:40.1876512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1876839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1877141Z return mod(*inputs) 2025-09-07T08:37:40.1877427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T08:37:40.1877732Z xs = self.forward_features(x) 2025-09-07T08:37:40.1878046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T08:37:40.1878361Z xs = blk(xs) 2025-09-07T08:37:40.1878635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T08:37:40.1878988Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T08:37:40.1879155Z 2025-09-07T08:37:40.1879261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1879587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1879897Z return mod(*inputs) 2025-09-07T08:37:40.1880178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T08:37:40.1880481Z x = self.forward_head(xs) 2025-09-07T08:37:40.1880783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T08:37:40.1881196Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1881602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T08:37:40.1882002Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1882207Z 2025-09-07T08:37:40.1882329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1882651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1882985Z return mod(*inputs) 2025-09-07T08:37:40.1883272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T08:37:40.1883583Z x = self.forward_head(xs) 2025-09-07T08:37:40.1883896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T08:37:40.1884301Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1884713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T08:37:40.1885124Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1885332Z 2025-09-07T08:37:40.1885421Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1885648Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1885979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1886295Z return mod(*inputs) 2025-09-07T08:37:40.1886582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T08:37:40.1886898Z x = self.forward_head(xs) 2025-09-07T08:37:40.1887202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T08:37:40.1887613Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1888019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T08:37:40.1888419Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1888625Z 2025-09-07T08:37:40.1888734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1889061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1889362Z return mod(*inputs) 2025-09-07T08:37:40.1889644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T08:37:40.1889950Z x = self.forward_head(xs) 2025-09-07T08:37:40.1890263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T08:37:40.1890662Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1891065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T08:37:40.1891463Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1891671Z 2025-09-07T08:37:40.1891757Z cudagraph partition due to non gpu ops 2025-09-07T08:37:40.1891970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:37:40.1892306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:37:40.1892607Z return mod(*inputs) 2025-09-07T08:37:40.1892890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T08:37:40.1893193Z x = self.forward_head(xs) 2025-09-07T08:37:40.1893495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T08:37:40.1893902Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T08:37:40.1894114Z 2025-09-07T08:37:40.1894188Z cudagraph partition due to non gpu ops 2025-09-07T08:38:11.7011050Z pass 2025-09-07T08:38:11.7011471Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:13.9114597Z /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. 2025-09-07T08:38:13.9115482Z import pynvml # type: ignore[import] 2025-09-07T08:38:16.0990049Z 2025-09-07T08:38:16.6581454Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:16.6581766Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:16.6582003Z cpu eval cspdarknet53 2025-09-07T08:38:17.3719214Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:17.4768820Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:17.5815249Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:31.0788525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0788977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0789671Z return mod(*inputs) 2025-09-07T08:38:31.0790007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0790341Z x = self.forward_features(x) 2025-09-07T08:38:31.0790675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 713, in forward_features 2025-09-07T08:38:31.0791000Z x = self.stem(x) 2025-09-07T08:38:31.0791297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 83, in forward 2025-09-07T08:38:31.0791613Z x = self.conv(x) 2025-09-07T08:38:31.0791709Z 2025-09-07T08:38:31.0791820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0792175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0792478Z return mod(*inputs) 2025-09-07T08:38:31.0792766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0793076Z x = self.forward_features(x) 2025-09-07T08:38:31.0793396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 713, in forward_features 2025-09-07T08:38:31.0793836Z x = self.stem(x) 2025-09-07T08:38:31.0794124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0794424Z x = self.bn(x) 2025-09-07T08:38:31.0794701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0794990Z x = self.act(x) 2025-09-07T08:38:31.0795082Z 2025-09-07T08:38:31.0795182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0795521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0795829Z return mod(*inputs) 2025-09-07T08:38:31.0796115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0796417Z x = self.forward_features(x) 2025-09-07T08:38:31.0796736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 713, in forward_features 2025-09-07T08:38:31.0797057Z x = self.stem(x) 2025-09-07T08:38:31.0797339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0797633Z x = self.bn(x) 2025-09-07T08:38:31.0797911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0798209Z x = self.act(x) 2025-09-07T08:38:31.0798299Z 2025-09-07T08:38:31.0798404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0798819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0799117Z return mod(*inputs) 2025-09-07T08:38:31.0799506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0799836Z x = self.forward_features(x) 2025-09-07T08:38:31.0800158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0800471Z x = self.stages(x) 2025-09-07T08:38:31.0800752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.0801053Z x = self.conv_down(x) 2025-09-07T08:38:31.0801351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0801661Z x = self.bn(x) 2025-09-07T08:38:31.0801929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0802233Z x = self.act(x) 2025-09-07T08:38:31.0802326Z 2025-09-07T08:38:31.0802426Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0802791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0803086Z return mod(*inputs) 2025-09-07T08:38:31.0803370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0803678Z x = self.forward_features(x) 2025-09-07T08:38:31.0803992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0804314Z x = self.stages(x) 2025-09-07T08:38:31.0804590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.0804890Z x = self.conv_down(x) 2025-09-07T08:38:31.0805184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0805487Z x = self.bn(x) 2025-09-07T08:38:31.0805761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0806071Z x = self.act(x) 2025-09-07T08:38:31.0806163Z 2025-09-07T08:38:31.0806260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0806606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0806909Z return mod(*inputs) 2025-09-07T08:38:31.0807182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0807486Z x = self.forward_features(x) 2025-09-07T08:38:31.0807809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0808127Z x = self.stages(x) 2025-09-07T08:38:31.0808397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.0808695Z x = self.conv_exp(x) 2025-09-07T08:38:31.0808997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0809299Z x = self.bn(x) 2025-09-07T08:38:31.0809578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0809871Z x = self.act(x) 2025-09-07T08:38:31.0809965Z 2025-09-07T08:38:31.0810066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0810402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0810712Z return mod(*inputs) 2025-09-07T08:38:31.0810983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0811293Z x = self.forward_features(x) 2025-09-07T08:38:31.0811630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0811955Z x = self.stages(x) 2025-09-07T08:38:31.0812275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.0812566Z x = self.conv_exp(x) 2025-09-07T08:38:31.0812862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0813169Z x = self.bn(x) 2025-09-07T08:38:31.0813448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0813735Z x = self.act(x) 2025-09-07T08:38:31.0813832Z 2025-09-07T08:38:31.0813932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0814273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0814586Z return mod(*inputs) 2025-09-07T08:38:31.0814873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0815180Z x = self.forward_features(x) 2025-09-07T08:38:31.0815530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0815862Z x = self.stages(x) 2025-09-07T08:38:31.0816168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0816476Z xb = self.blocks(xb) 2025-09-07T08:38:31.0816761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0817067Z x = self.conv1(x) 2025-09-07T08:38:31.0817421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0817727Z x = self.bn(x) 2025-09-07T08:38:31.0818001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0818295Z x = self.act(x) 2025-09-07T08:38:31.0818392Z 2025-09-07T08:38:31.0818494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0818831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0819139Z return mod(*inputs) 2025-09-07T08:38:31.0819410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0819714Z x = self.forward_features(x) 2025-09-07T08:38:31.0820033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0820355Z x = self.stages(x) 2025-09-07T08:38:31.0820629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0820920Z xb = self.blocks(xb) 2025-09-07T08:38:31.0821208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0821504Z x = self.conv1(x) 2025-09-07T08:38:31.0821791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0822093Z x = self.bn(x) 2025-09-07T08:38:31.0822367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0822665Z x = self.act(x) 2025-09-07T08:38:31.0822749Z 2025-09-07T08:38:31.0822852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0823190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0823483Z return mod(*inputs) 2025-09-07T08:38:31.0823761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0824065Z x = self.forward_features(x) 2025-09-07T08:38:31.0825947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0826261Z x = self.stages(x) 2025-09-07T08:38:31.0826622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0826920Z xb = self.blocks(xb) 2025-09-07T08:38:31.0827199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0827482Z x = self.conv2(x) 2025-09-07T08:38:31.0827767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0828069Z x = self.bn(x) 2025-09-07T08:38:31.0828342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0828637Z x = self.act(x) 2025-09-07T08:38:31.0828724Z 2025-09-07T08:38:31.0828822Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0829161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0829464Z return mod(*inputs) 2025-09-07T08:38:31.0829767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0830061Z x = self.forward_features(x) 2025-09-07T08:38:31.0830381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0830698Z x = self.stages(x) 2025-09-07T08:38:31.0830975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0831272Z xb = self.blocks(xb) 2025-09-07T08:38:31.0831546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0831839Z x = self.conv2(x) 2025-09-07T08:38:31.0832122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0832427Z x = self.bn(x) 2025-09-07T08:38:31.0832694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0832992Z x = self.act(x) 2025-09-07T08:38:31.0833085Z 2025-09-07T08:38:31.0833180Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0833517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0833817Z return mod(*inputs) 2025-09-07T08:38:31.0834086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0834386Z x = self.forward_features(x) 2025-09-07T08:38:31.0834703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0835021Z x = self.stages(x) 2025-09-07T08:38:31.0835284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0835580Z xb = self.blocks(xb) 2025-09-07T08:38:31.0835857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.0836161Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.0836282Z 2025-09-07T08:38:31.0836380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0836712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0837013Z return mod(*inputs) 2025-09-07T08:38:31.0837285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0837584Z x = self.forward_features(x) 2025-09-07T08:38:31.0837890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0838205Z x = self.stages(x) 2025-09-07T08:38:31.0838498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.0838865Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.0839194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0839502Z x = self.bn(x) 2025-09-07T08:38:31.0839777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0840074Z x = self.act(x) 2025-09-07T08:38:31.0840160Z 2025-09-07T08:38:31.0840262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0840588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0840890Z return mod(*inputs) 2025-09-07T08:38:31.0841166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0841473Z x = self.forward_features(x) 2025-09-07T08:38:31.0841783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0842125Z x = self.stages(x) 2025-09-07T08:38:31.0842404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.0842728Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.0843061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0843360Z x = self.bn(x) 2025-09-07T08:38:31.0843641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0843943Z x = self.act(x) 2025-09-07T08:38:31.0844032Z 2025-09-07T08:38:31.0844120Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.0844327Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.0844556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0844894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0845206Z return mod(*inputs) 2025-09-07T08:38:31.0845479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0845783Z x = self.forward_features(x) 2025-09-07T08:38:31.0846103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0846433Z x = self.stages(x) 2025-09-07T08:38:31.0846712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.0847042Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.0847201Z 2025-09-07T08:38:31.0847298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0847639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0847947Z return mod(*inputs) 2025-09-07T08:38:31.0848229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0848527Z x = self.forward_features(x) 2025-09-07T08:38:31.0848939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0849267Z x = self.stages(x) 2025-09-07T08:38:31.0849543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.0849868Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.0850212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0850518Z x = self.bn(x) 2025-09-07T08:38:31.0850800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0851156Z x = self.act(x) 2025-09-07T08:38:31.0851243Z 2025-09-07T08:38:31.0851338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0851725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0852025Z return mod(*inputs) 2025-09-07T08:38:31.0852305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0852598Z x = self.forward_features(x) 2025-09-07T08:38:31.0852921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0853241Z x = self.stages(x) 2025-09-07T08:38:31.0853519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.0853839Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.0854174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0854478Z x = self.bn(x) 2025-09-07T08:38:31.0854757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0855081Z x = self.act(x) 2025-09-07T08:38:31.0855167Z 2025-09-07T08:38:31.0855264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0855600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0855898Z return mod(*inputs) 2025-09-07T08:38:31.0856179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0856472Z x = self.forward_features(x) 2025-09-07T08:38:31.0856786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0857104Z x = self.stages(x) 2025-09-07T08:38:31.0857383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.0857685Z x = self.conv_down(x) 2025-09-07T08:38:31.0857975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0858284Z x = self.bn(x) 2025-09-07T08:38:31.0858559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0858859Z x = self.act(x) 2025-09-07T08:38:31.0858943Z 2025-09-07T08:38:31.0859041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0859377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0859675Z return mod(*inputs) 2025-09-07T08:38:31.0859953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0860256Z x = self.forward_features(x) 2025-09-07T08:38:31.0860565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0860887Z x = self.stages(x) 2025-09-07T08:38:31.0861166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.0861463Z x = self.conv_down(x) 2025-09-07T08:38:31.0861748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0862049Z x = self.bn(x) 2025-09-07T08:38:31.0862325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0862620Z x = self.act(x) 2025-09-07T08:38:31.0862705Z 2025-09-07T08:38:31.0862806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0863130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0863430Z return mod(*inputs) 2025-09-07T08:38:31.0863730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0864033Z x = self.forward_features(x) 2025-09-07T08:38:31.0864374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0864701Z x = self.stages(x) 2025-09-07T08:38:31.0864978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.0865280Z x = self.conv_exp(x) 2025-09-07T08:38:31.0865565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0865874Z x = self.bn(x) 2025-09-07T08:38:31.0866149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0866449Z x = self.act(x) 2025-09-07T08:38:31.0866536Z 2025-09-07T08:38:31.0866639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0866972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0867279Z return mod(*inputs) 2025-09-07T08:38:31.0867570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0867871Z x = self.forward_features(x) 2025-09-07T08:38:31.0868178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0868494Z x = self.stages(x) 2025-09-07T08:38:31.0868768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.0869059Z x = self.conv_exp(x) 2025-09-07T08:38:31.0869354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0869649Z x = self.bn(x) 2025-09-07T08:38:31.0869923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0870217Z x = self.act(x) 2025-09-07T08:38:31.0870301Z 2025-09-07T08:38:31.0870408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0870735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0871036Z return mod(*inputs) 2025-09-07T08:38:31.0871314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0871613Z x = self.forward_features(x) 2025-09-07T08:38:31.0871939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0872246Z x = self.stages(x) 2025-09-07T08:38:31.0872521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0872812Z xb = self.blocks(xb) 2025-09-07T08:38:31.0873090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0873371Z x = self.conv1(x) 2025-09-07T08:38:31.0873656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0873958Z x = self.bn(x) 2025-09-07T08:38:31.0874234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0874528Z x = self.act(x) 2025-09-07T08:38:31.0874615Z 2025-09-07T08:38:31.0874710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0875047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0875350Z return mod(*inputs) 2025-09-07T08:38:31.0875624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0875914Z x = self.forward_features(x) 2025-09-07T08:38:31.0876250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0876567Z x = self.stages(x) 2025-09-07T08:38:31.0876867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0877153Z xb = self.blocks(xb) 2025-09-07T08:38:31.0877433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0877727Z x = self.conv1(x) 2025-09-07T08:38:31.0878008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0878309Z x = self.bn(x) 2025-09-07T08:38:31.0878572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0878872Z x = self.act(x) 2025-09-07T08:38:31.0878962Z 2025-09-07T08:38:31.0879058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0879393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0879689Z return mod(*inputs) 2025-09-07T08:38:31.0879983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0880279Z x = self.forward_features(x) 2025-09-07T08:38:31.0880595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0880913Z x = self.stages(x) 2025-09-07T08:38:31.0881178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0881468Z xb = self.blocks(xb) 2025-09-07T08:38:31.0881743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0882036Z x = self.conv2(x) 2025-09-07T08:38:31.0882308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0882612Z x = self.bn(x) 2025-09-07T08:38:31.0882885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0883182Z x = self.act(x) 2025-09-07T08:38:31.0883267Z 2025-09-07T08:38:31.0883373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0883702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0883998Z return mod(*inputs) 2025-09-07T08:38:31.0884275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0884577Z x = self.forward_features(x) 2025-09-07T08:38:31.0884884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0885201Z x = self.stages(x) 2025-09-07T08:38:31.0885473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0885768Z xb = self.blocks(xb) 2025-09-07T08:38:31.0886040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0886335Z x = self.conv2(x) 2025-09-07T08:38:31.0886616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0886920Z x = self.bn(x) 2025-09-07T08:38:31.0887197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0887481Z x = self.act(x) 2025-09-07T08:38:31.0887574Z 2025-09-07T08:38:31.0887670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0888002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0888303Z return mod(*inputs) 2025-09-07T08:38:31.0888572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0888903Z x = self.forward_features(x) 2025-09-07T08:38:31.0889250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0889574Z x = self.stages(x) 2025-09-07T08:38:31.0889847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0890139Z xb = self.blocks(xb) 2025-09-07T08:38:31.0890422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.0890725Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.0890843Z 2025-09-07T08:38:31.0890948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0891275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0891576Z return mod(*inputs) 2025-09-07T08:38:31.0891851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0892153Z x = self.forward_features(x) 2025-09-07T08:38:31.0892490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0892800Z x = self.stages(x) 2025-09-07T08:38:31.0893074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0893368Z xb = self.blocks(xb) 2025-09-07T08:38:31.0893649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0893938Z x = self.conv1(x) 2025-09-07T08:38:31.0894225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0894527Z x = self.bn(x) 2025-09-07T08:38:31.0894801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0895098Z x = self.act(x) 2025-09-07T08:38:31.0895185Z 2025-09-07T08:38:31.0895284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0895622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0895924Z return mod(*inputs) 2025-09-07T08:38:31.0896202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0896500Z x = self.forward_features(x) 2025-09-07T08:38:31.0896821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0897143Z x = self.stages(x) 2025-09-07T08:38:31.0897418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0897708Z xb = self.blocks(xb) 2025-09-07T08:38:31.0897988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0898288Z x = self.conv1(x) 2025-09-07T08:38:31.0898576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0898882Z x = self.bn(x) 2025-09-07T08:38:31.0899147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0899445Z x = self.act(x) 2025-09-07T08:38:31.0899540Z 2025-09-07T08:38:31.0899637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0899971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0900265Z return mod(*inputs) 2025-09-07T08:38:31.0900546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0900845Z x = self.forward_features(x) 2025-09-07T08:38:31.0901184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0901508Z x = self.stages(x) 2025-09-07T08:38:31.0901804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0902103Z xb = self.blocks(xb) 2025-09-07T08:38:31.0902385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0902683Z x = self.conv2(x) 2025-09-07T08:38:31.0902959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0903261Z x = self.bn(x) 2025-09-07T08:38:31.0903537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0903834Z x = self.act(x) 2025-09-07T08:38:31.0903920Z 2025-09-07T08:38:31.0904024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0904358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0904658Z return mod(*inputs) 2025-09-07T08:38:31.0904962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0905265Z x = self.forward_features(x) 2025-09-07T08:38:31.0905574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0905890Z x = self.stages(x) 2025-09-07T08:38:31.0906166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0906461Z xb = self.blocks(xb) 2025-09-07T08:38:31.0906732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0907023Z x = self.conv2(x) 2025-09-07T08:38:31.0907307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0907609Z x = self.bn(x) 2025-09-07T08:38:31.0907882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0908168Z x = self.act(x) 2025-09-07T08:38:31.0908260Z 2025-09-07T08:38:31.0908357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0908691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0908993Z return mod(*inputs) 2025-09-07T08:38:31.0909261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0909564Z x = self.forward_features(x) 2025-09-07T08:38:31.0909882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0910199Z x = self.stages(x) 2025-09-07T08:38:31.0910471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0910758Z xb = self.blocks(xb) 2025-09-07T08:38:31.0911042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.0911347Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.0911464Z 2025-09-07T08:38:31.0911571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0911893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0912196Z return mod(*inputs) 2025-09-07T08:38:31.0912472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0912774Z x = self.forward_features(x) 2025-09-07T08:38:31.0913087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0913397Z x = self.stages(x) 2025-09-07T08:38:31.0913685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.0914006Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.0914372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0914675Z x = self.bn(x) 2025-09-07T08:38:31.0914956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0915259Z x = self.act(x) 2025-09-07T08:38:31.0915346Z 2025-09-07T08:38:31.0915453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0915792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0916087Z return mod(*inputs) 2025-09-07T08:38:31.0916366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0916673Z x = self.forward_features(x) 2025-09-07T08:38:31.0916997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0917329Z x = self.stages(x) 2025-09-07T08:38:31.0917606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.0917924Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.0918263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0918566Z x = self.bn(x) 2025-09-07T08:38:31.0918834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0919128Z x = self.act(x) 2025-09-07T08:38:31.0919213Z 2025-09-07T08:38:31.0919301Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.0919506Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.0919720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0920054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0920358Z return mod(*inputs) 2025-09-07T08:38:31.0920639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0920931Z x = self.forward_features(x) 2025-09-07T08:38:31.0921251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0921564Z x = self.stages(x) 2025-09-07T08:38:31.0921837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.0922168Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.0922316Z 2025-09-07T08:38:31.0922410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0922746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0923050Z return mod(*inputs) 2025-09-07T08:38:31.0923330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0923625Z x = self.forward_features(x) 2025-09-07T08:38:31.0923941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0924258Z x = self.stages(x) 2025-09-07T08:38:31.0924532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.0924865Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.0925195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0925508Z x = self.bn(x) 2025-09-07T08:38:31.0925786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0926102Z x = self.act(x) 2025-09-07T08:38:31.0926189Z 2025-09-07T08:38:31.0926289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0926652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0926956Z return mod(*inputs) 2025-09-07T08:38:31.0927235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0927542Z x = self.forward_features(x) 2025-09-07T08:38:31.0927851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0928171Z x = self.stages(x) 2025-09-07T08:38:31.0928450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.0928777Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.0929106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0929412Z x = self.bn(x) 2025-09-07T08:38:31.0929689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0930016Z x = self.act(x) 2025-09-07T08:38:31.0930100Z 2025-09-07T08:38:31.0930204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0930533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0930837Z return mod(*inputs) 2025-09-07T08:38:31.0931121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0931419Z x = self.forward_features(x) 2025-09-07T08:38:31.0931730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0932049Z x = self.stages(x) 2025-09-07T08:38:31.0932324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.0932628Z x = self.conv_down(x) 2025-09-07T08:38:31.0932924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0933224Z x = self.bn(x) 2025-09-07T08:38:31.0933501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0933800Z x = self.act(x) 2025-09-07T08:38:31.0933888Z 2025-09-07T08:38:31.0933992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0934317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0934622Z return mod(*inputs) 2025-09-07T08:38:31.0934901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0935204Z x = self.forward_features(x) 2025-09-07T08:38:31.0935519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0935828Z x = self.stages(x) 2025-09-07T08:38:31.0936108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.0936410Z x = self.conv_down(x) 2025-09-07T08:38:31.0936705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0937000Z x = self.bn(x) 2025-09-07T08:38:31.0937276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0937574Z x = self.act(x) 2025-09-07T08:38:31.0937660Z 2025-09-07T08:38:31.0937764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0938102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0938397Z return mod(*inputs) 2025-09-07T08:38:31.0938688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0938992Z x = self.forward_features(x) 2025-09-07T08:38:31.0939341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0939651Z x = self.stages(x) 2025-09-07T08:38:31.0939926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.0940221Z x = self.conv_exp(x) 2025-09-07T08:38:31.0940515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0940806Z x = self.bn(x) 2025-09-07T08:38:31.0941080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0941377Z x = self.act(x) 2025-09-07T08:38:31.0941464Z 2025-09-07T08:38:31.0941567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0941900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0942191Z return mod(*inputs) 2025-09-07T08:38:31.0942486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0942791Z x = self.forward_features(x) 2025-09-07T08:38:31.0943107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0943416Z x = self.stages(x) 2025-09-07T08:38:31.0943693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.0943987Z x = self.conv_exp(x) 2025-09-07T08:38:31.0944279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0944580Z x = self.bn(x) 2025-09-07T08:38:31.0944846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0945141Z x = self.act(x) 2025-09-07T08:38:31.0945226Z 2025-09-07T08:38:31.0945334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0945667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0945954Z return mod(*inputs) 2025-09-07T08:38:31.0946232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0946531Z x = self.forward_features(x) 2025-09-07T08:38:31.0946849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0947167Z x = self.stages(x) 2025-09-07T08:38:31.0947432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0947728Z xb = self.blocks(xb) 2025-09-07T08:38:31.0948005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0948296Z x = self.conv1(x) 2025-09-07T08:38:31.0948575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0948921Z x = self.bn(x) 2025-09-07T08:38:31.0949195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0949493Z x = self.act(x) 2025-09-07T08:38:31.0949579Z 2025-09-07T08:38:31.0949675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0950011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0950318Z return mod(*inputs) 2025-09-07T08:38:31.0950596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0950900Z x = self.forward_features(x) 2025-09-07T08:38:31.0951210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0951575Z x = self.stages(x) 2025-09-07T08:38:31.0951899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0952199Z xb = self.blocks(xb) 2025-09-07T08:38:31.0952474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0952774Z x = self.conv1(x) 2025-09-07T08:38:31.0953061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0953373Z x = self.bn(x) 2025-09-07T08:38:31.0953652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0953943Z x = self.act(x) 2025-09-07T08:38:31.0954040Z 2025-09-07T08:38:31.0954135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0954470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0954774Z return mod(*inputs) 2025-09-07T08:38:31.0955073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0955374Z x = self.forward_features(x) 2025-09-07T08:38:31.0955692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0956014Z x = self.stages(x) 2025-09-07T08:38:31.0956290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0956580Z xb = self.blocks(xb) 2025-09-07T08:38:31.0956861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0957158Z x = self.conv2(x) 2025-09-07T08:38:31.0957444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0957737Z x = self.bn(x) 2025-09-07T08:38:31.0958011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0958319Z x = self.act(x) 2025-09-07T08:38:31.0958403Z 2025-09-07T08:38:31.0958506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0958828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0959125Z return mod(*inputs) 2025-09-07T08:38:31.0959404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0959706Z x = self.forward_features(x) 2025-09-07T08:38:31.0960024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0960330Z x = self.stages(x) 2025-09-07T08:38:31.0960605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0960899Z xb = self.blocks(xb) 2025-09-07T08:38:31.0961181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0961466Z x = self.conv2(x) 2025-09-07T08:38:31.0961751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0962049Z x = self.bn(x) 2025-09-07T08:38:31.0962321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0962612Z x = self.act(x) 2025-09-07T08:38:31.0962697Z 2025-09-07T08:38:31.0962791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0963125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0963428Z return mod(*inputs) 2025-09-07T08:38:31.0963702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0964020Z x = self.forward_features(x) 2025-09-07T08:38:31.0964371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0964694Z x = self.stages(x) 2025-09-07T08:38:31.0964967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0965261Z xb = self.blocks(xb) 2025-09-07T08:38:31.0965530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.0965836Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.0965952Z 2025-09-07T08:38:31.0966058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0966392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0966684Z return mod(*inputs) 2025-09-07T08:38:31.0966963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0967264Z x = self.forward_features(x) 2025-09-07T08:38:31.0967598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0967918Z x = self.stages(x) 2025-09-07T08:38:31.0968187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0968482Z xb = self.blocks(xb) 2025-09-07T08:38:31.0968763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0969060Z x = self.conv1(x) 2025-09-07T08:38:31.0969336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0969645Z x = self.bn(x) 2025-09-07T08:38:31.0969920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0970219Z x = self.act(x) 2025-09-07T08:38:31.0970305Z 2025-09-07T08:38:31.0970399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0970741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0971044Z return mod(*inputs) 2025-09-07T08:38:31.0971322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0971618Z x = self.forward_features(x) 2025-09-07T08:38:31.0971927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0972238Z x = self.stages(x) 2025-09-07T08:38:31.0972512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0972805Z xb = self.blocks(xb) 2025-09-07T08:38:31.0973076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0973369Z x = self.conv1(x) 2025-09-07T08:38:31.0973655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0973955Z x = self.bn(x) 2025-09-07T08:38:31.0974229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0974516Z x = self.act(x) 2025-09-07T08:38:31.0974608Z 2025-09-07T08:38:31.0974703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0975037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0975336Z return mod(*inputs) 2025-09-07T08:38:31.0975602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0975899Z x = self.forward_features(x) 2025-09-07T08:38:31.0976218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0976559Z x = self.stages(x) 2025-09-07T08:38:31.0976874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0977165Z xb = self.blocks(xb) 2025-09-07T08:38:31.0977446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0977736Z x = self.conv2(x) 2025-09-07T08:38:31.0978021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0978315Z x = self.bn(x) 2025-09-07T08:38:31.0978590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0978889Z x = self.act(x) 2025-09-07T08:38:31.0978984Z 2025-09-07T08:38:31.0979088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0979415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0979715Z return mod(*inputs) 2025-09-07T08:38:31.0979996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0980315Z x = self.forward_features(x) 2025-09-07T08:38:31.0980625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0980936Z x = self.stages(x) 2025-09-07T08:38:31.0981213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0981506Z xb = self.blocks(xb) 2025-09-07T08:38:31.0981786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0982073Z x = self.conv2(x) 2025-09-07T08:38:31.0982358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0982665Z x = self.bn(x) 2025-09-07T08:38:31.0982942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0983238Z x = self.act(x) 2025-09-07T08:38:31.0983324Z 2025-09-07T08:38:31.0983420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0983753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0984054Z return mod(*inputs) 2025-09-07T08:38:31.0984336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0984628Z x = self.forward_features(x) 2025-09-07T08:38:31.0984946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0985263Z x = self.stages(x) 2025-09-07T08:38:31.0985537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0985836Z xb = self.blocks(xb) 2025-09-07T08:38:31.0986106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.0986408Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.0986524Z 2025-09-07T08:38:31.0986628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0986960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0987252Z return mod(*inputs) 2025-09-07T08:38:31.0987525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0987827Z x = self.forward_features(x) 2025-09-07T08:38:31.0988144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0988464Z x = self.stages(x) 2025-09-07T08:38:31.0988733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0989051Z xb = self.blocks(xb) 2025-09-07T08:38:31.0989360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0989656Z x = self.conv1(x) 2025-09-07T08:38:31.0989935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0990245Z x = self.bn(x) 2025-09-07T08:38:31.0990526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0990825Z x = self.act(x) 2025-09-07T08:38:31.0990915Z 2025-09-07T08:38:31.0991011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0991346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0991650Z return mod(*inputs) 2025-09-07T08:38:31.0991935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0992244Z x = self.forward_features(x) 2025-09-07T08:38:31.0992556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0992898Z x = self.stages(x) 2025-09-07T08:38:31.0993174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0993473Z xb = self.blocks(xb) 2025-09-07T08:38:31.0993742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.0994031Z x = self.conv1(x) 2025-09-07T08:38:31.0994316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0994618Z x = self.bn(x) 2025-09-07T08:38:31.0994895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0995186Z x = self.act(x) 2025-09-07T08:38:31.0995284Z 2025-09-07T08:38:31.0995378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.0995717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.0996022Z return mod(*inputs) 2025-09-07T08:38:31.0996292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.0996596Z x = self.forward_features(x) 2025-09-07T08:38:31.0996907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.0997223Z x = self.stages(x) 2025-09-07T08:38:31.0997499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.0997786Z xb = self.blocks(xb) 2025-09-07T08:38:31.0998065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.0998358Z x = self.conv2(x) 2025-09-07T08:38:31.0998646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.0998940Z x = self.bn(x) 2025-09-07T08:38:31.0999210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.0999506Z x = self.act(x) 2025-09-07T08:38:31.0999591Z 2025-09-07T08:38:31.0999693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1000018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1000317Z return mod(*inputs) 2025-09-07T08:38:31.1000591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1000893Z x = self.forward_features(x) 2025-09-07T08:38:31.1001209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1001539Z x = self.stages(x) 2025-09-07T08:38:31.1001852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1002422Z xb = self.blocks(xb) 2025-09-07T08:38:31.1002710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1003004Z x = self.conv2(x) 2025-09-07T08:38:31.1003283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1003591Z x = self.bn(x) 2025-09-07T08:38:31.1003872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1004170Z x = self.act(x) 2025-09-07T08:38:31.1004258Z 2025-09-07T08:38:31.1004354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1004692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1005000Z return mod(*inputs) 2025-09-07T08:38:31.1005283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1005597Z x = self.forward_features(x) 2025-09-07T08:38:31.1005914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1006232Z x = self.stages(x) 2025-09-07T08:38:31.1006506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1006798Z xb = self.blocks(xb) 2025-09-07T08:38:31.1007067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1007367Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1007491Z 2025-09-07T08:38:31.1007585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1007917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1008208Z return mod(*inputs) 2025-09-07T08:38:31.1008488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1008787Z x = self.forward_features(x) 2025-09-07T08:38:31.1009099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1009415Z x = self.stages(x) 2025-09-07T08:38:31.1009680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1009972Z xb = self.blocks(xb) 2025-09-07T08:38:31.1010248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1010538Z x = self.conv1(x) 2025-09-07T08:38:31.1010813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1011115Z x = self.bn(x) 2025-09-07T08:38:31.1011392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1011689Z x = self.act(x) 2025-09-07T08:38:31.1011774Z 2025-09-07T08:38:31.1011875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1012206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1012505Z return mod(*inputs) 2025-09-07T08:38:31.1012780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1013073Z x = self.forward_features(x) 2025-09-07T08:38:31.1013381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1013695Z x = self.stages(x) 2025-09-07T08:38:31.1013965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1014288Z xb = self.blocks(xb) 2025-09-07T08:38:31.1014600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1014893Z x = self.conv1(x) 2025-09-07T08:38:31.1015175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1015480Z x = self.bn(x) 2025-09-07T08:38:31.1015752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1016040Z x = self.act(x) 2025-09-07T08:38:31.1016133Z 2025-09-07T08:38:31.1016230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1016563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1016865Z return mod(*inputs) 2025-09-07T08:38:31.1017134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1017441Z x = self.forward_features(x) 2025-09-07T08:38:31.1017760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1018096Z x = self.stages(x) 2025-09-07T08:38:31.1018374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1018662Z xb = self.blocks(xb) 2025-09-07T08:38:31.1018942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1019234Z x = self.conv2(x) 2025-09-07T08:38:31.1019519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1019812Z x = self.bn(x) 2025-09-07T08:38:31.1020087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1020384Z x = self.act(x) 2025-09-07T08:38:31.1020470Z 2025-09-07T08:38:31.1020572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1020909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1021202Z return mod(*inputs) 2025-09-07T08:38:31.1021484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1021783Z x = self.forward_features(x) 2025-09-07T08:38:31.1022097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1022408Z x = self.stages(x) 2025-09-07T08:38:31.1022688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1022987Z xb = self.blocks(xb) 2025-09-07T08:38:31.1023268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1023555Z x = self.conv2(x) 2025-09-07T08:38:31.1023847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1024151Z x = self.bn(x) 2025-09-07T08:38:31.1024425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1024719Z x = self.act(x) 2025-09-07T08:38:31.1024804Z 2025-09-07T08:38:31.1024900Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1025227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1025525Z return mod(*inputs) 2025-09-07T08:38:31.1025800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1026091Z x = self.forward_features(x) 2025-09-07T08:38:31.1026404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1026753Z x = self.stages(x) 2025-09-07T08:38:31.1027068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1027369Z xb = self.blocks(xb) 2025-09-07T08:38:31.1027641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1027948Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1028073Z 2025-09-07T08:38:31.1028168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1028499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1028795Z return mod(*inputs) 2025-09-07T08:38:31.1029075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1029379Z x = self.forward_features(x) 2025-09-07T08:38:31.1029703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1030025Z x = self.stages(x) 2025-09-07T08:38:31.1030298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1030614Z xb = self.blocks(xb) 2025-09-07T08:38:31.1030895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1031190Z x = self.conv1(x) 2025-09-07T08:38:31.1031472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1031778Z x = self.bn(x) 2025-09-07T08:38:31.1032061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1032368Z x = self.act(x) 2025-09-07T08:38:31.1032455Z 2025-09-07T08:38:31.1032560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1032892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1033195Z return mod(*inputs) 2025-09-07T08:38:31.1033478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1033778Z x = self.forward_features(x) 2025-09-07T08:38:31.1034086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1034403Z x = self.stages(x) 2025-09-07T08:38:31.1034677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1034970Z xb = self.blocks(xb) 2025-09-07T08:38:31.1035245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1035537Z x = self.conv1(x) 2025-09-07T08:38:31.1035822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1036124Z x = self.bn(x) 2025-09-07T08:38:31.1036406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1036693Z x = self.act(x) 2025-09-07T08:38:31.1036790Z 2025-09-07T08:38:31.1036886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1037221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1037519Z return mod(*inputs) 2025-09-07T08:38:31.1037789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1038094Z x = self.forward_features(x) 2025-09-07T08:38:31.1038411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1038731Z x = self.stages(x) 2025-09-07T08:38:31.1039003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1039311Z xb = self.blocks(xb) 2025-09-07T08:38:31.1039620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1039917Z x = self.conv2(x) 2025-09-07T08:38:31.1040199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1040493Z x = self.bn(x) 2025-09-07T08:38:31.1040767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1041066Z x = self.act(x) 2025-09-07T08:38:31.1041151Z 2025-09-07T08:38:31.1041256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1041590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1041886Z return mod(*inputs) 2025-09-07T08:38:31.1042165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1042467Z x = self.forward_features(x) 2025-09-07T08:38:31.1042787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1043115Z x = self.stages(x) 2025-09-07T08:38:31.1043399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1043694Z xb = self.blocks(xb) 2025-09-07T08:38:31.1043970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1044258Z x = self.conv2(x) 2025-09-07T08:38:31.1044545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1044850Z x = self.bn(x) 2025-09-07T08:38:31.1045134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1045438Z x = self.act(x) 2025-09-07T08:38:31.1045527Z 2025-09-07T08:38:31.1045624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1045961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1046264Z return mod(*inputs) 2025-09-07T08:38:31.1046544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1046837Z x = self.forward_features(x) 2025-09-07T08:38:31.1047152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1047471Z x = self.stages(x) 2025-09-07T08:38:31.1047748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1048042Z xb = self.blocks(xb) 2025-09-07T08:38:31.1048316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1048624Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1048750Z 2025-09-07T08:38:31.1048891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1049230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1049522Z return mod(*inputs) 2025-09-07T08:38:31.1049801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1050104Z x = self.forward_features(x) 2025-09-07T08:38:31.1050427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1050745Z x = self.stages(x) 2025-09-07T08:38:31.1051014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1051310Z xb = self.blocks(xb) 2025-09-07T08:38:31.1051592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1051923Z x = self.conv1(x) 2025-09-07T08:38:31.1052244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1052554Z x = self.bn(x) 2025-09-07T08:38:31.1052833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1053128Z x = self.act(x) 2025-09-07T08:38:31.1053215Z 2025-09-07T08:38:31.1053322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1053652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1053953Z return mod(*inputs) 2025-09-07T08:38:31.1054228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1054526Z x = self.forward_features(x) 2025-09-07T08:38:31.1054833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1078725Z x = self.stages(x) 2025-09-07T08:38:31.1079094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1079539Z xb = self.blocks(xb) 2025-09-07T08:38:31.1079840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1080148Z x = self.conv1(x) 2025-09-07T08:38:31.1080441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1080761Z x = self.bn(x) 2025-09-07T08:38:31.1081051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1081378Z x = self.act(x) 2025-09-07T08:38:31.1081474Z 2025-09-07T08:38:31.1081599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1081959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1082283Z return mod(*inputs) 2025-09-07T08:38:31.1082580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1082901Z x = self.forward_features(x) 2025-09-07T08:38:31.1083227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1083566Z x = self.stages(x) 2025-09-07T08:38:31.1083856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1084164Z xb = self.blocks(xb) 2025-09-07T08:38:31.1084455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1084751Z x = self.conv2(x) 2025-09-07T08:38:31.1085043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1085359Z x = self.bn(x) 2025-09-07T08:38:31.1085640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1085942Z x = self.act(x) 2025-09-07T08:38:31.1086040Z 2025-09-07T08:38:31.1086141Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1086485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1086794Z return mod(*inputs) 2025-09-07T08:38:31.1087080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1087381Z x = self.forward_features(x) 2025-09-07T08:38:31.1087709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1088037Z x = self.stages(x) 2025-09-07T08:38:31.1088318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1088646Z xb = self.blocks(xb) 2025-09-07T08:38:31.1088976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1089280Z x = self.conv2(x) 2025-09-07T08:38:31.1089567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1089874Z x = self.bn(x) 2025-09-07T08:38:31.1090157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1090464Z x = self.act(x) 2025-09-07T08:38:31.1090552Z 2025-09-07T08:38:31.1090658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1091008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1091311Z return mod(*inputs) 2025-09-07T08:38:31.1091600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1091910Z x = self.forward_features(x) 2025-09-07T08:38:31.1092244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1092576Z x = self.stages(x) 2025-09-07T08:38:31.1092855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1093159Z xb = self.blocks(xb) 2025-09-07T08:38:31.1093440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1093749Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1093871Z 2025-09-07T08:38:31.1093969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1094308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1094615Z return mod(*inputs) 2025-09-07T08:38:31.1094897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1095197Z x = self.forward_features(x) 2025-09-07T08:38:31.1095530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1095856Z x = self.stages(x) 2025-09-07T08:38:31.1096137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1096439Z xb = self.blocks(xb) 2025-09-07T08:38:31.1096717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1097014Z x = self.conv1(x) 2025-09-07T08:38:31.1097307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1097618Z x = self.bn(x) 2025-09-07T08:38:31.1097890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1098192Z x = self.act(x) 2025-09-07T08:38:31.1098289Z 2025-09-07T08:38:31.1098387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1098731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1099039Z return mod(*inputs) 2025-09-07T08:38:31.1099310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1099615Z x = self.forward_features(x) 2025-09-07T08:38:31.1099934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1100258Z x = self.stages(x) 2025-09-07T08:38:31.1100528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1100827Z xb = self.blocks(xb) 2025-09-07T08:38:31.1101112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1101428Z x = self.conv1(x) 2025-09-07T08:38:31.1101740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1102050Z x = self.bn(x) 2025-09-07T08:38:31.1102326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1102628Z x = self.act(x) 2025-09-07T08:38:31.1102715Z 2025-09-07T08:38:31.1102820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1103150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1103454Z return mod(*inputs) 2025-09-07T08:38:31.1103733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1104035Z x = self.forward_features(x) 2025-09-07T08:38:31.1104346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1104671Z x = self.stages(x) 2025-09-07T08:38:31.1104954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1105277Z xb = self.blocks(xb) 2025-09-07T08:38:31.1105560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1105847Z x = self.conv2(x) 2025-09-07T08:38:31.1106133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1106438Z x = self.bn(x) 2025-09-07T08:38:31.1106714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1107004Z x = self.act(x) 2025-09-07T08:38:31.1107101Z 2025-09-07T08:38:31.1107199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1107535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1107841Z return mod(*inputs) 2025-09-07T08:38:31.1108114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1108418Z x = self.forward_features(x) 2025-09-07T08:38:31.1108742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1109063Z x = self.stages(x) 2025-09-07T08:38:31.1109341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1109633Z xb = self.blocks(xb) 2025-09-07T08:38:31.1109915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1110208Z x = self.conv2(x) 2025-09-07T08:38:31.1110494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1110795Z x = self.bn(x) 2025-09-07T08:38:31.1111072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1111377Z x = self.act(x) 2025-09-07T08:38:31.1111465Z 2025-09-07T08:38:31.1111573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1111911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1112208Z return mod(*inputs) 2025-09-07T08:38:31.1112485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1112790Z x = self.forward_features(x) 2025-09-07T08:38:31.1113105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1113419Z x = self.stages(x) 2025-09-07T08:38:31.1113693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1114007Z xb = self.blocks(xb) 2025-09-07T08:38:31.1114285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1114651Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1114776Z 2025-09-07T08:38:31.1114871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1115207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1115277Z return mod(*inputs) 2025-09-07T08:38:31.1115455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1115523Z x = self.forward_features(x) 2025-09-07T08:38:31.1115736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1115798Z x = self.stages(x) 2025-09-07T08:38:31.1115983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1116049Z xb = self.blocks(xb) 2025-09-07T08:38:31.1116228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1116314Z x = self.conv1(x) 2025-09-07T08:38:31.1116509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1116578Z x = self.bn(x) 2025-09-07T08:38:31.1116770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1116834Z x = self.act(x) 2025-09-07T08:38:31.1116837Z 2025-09-07T08:38:31.1116947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1117134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1117208Z return mod(*inputs) 2025-09-07T08:38:31.1117389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1117460Z x = self.forward_features(x) 2025-09-07T08:38:31.1117683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1117747Z x = self.stages(x) 2025-09-07T08:38:31.1117935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1118000Z xb = self.blocks(xb) 2025-09-07T08:38:31.1118182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1118257Z x = self.conv1(x) 2025-09-07T08:38:31.1118451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1118519Z x = self.bn(x) 2025-09-07T08:38:31.1118708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1118772Z x = self.act(x) 2025-09-07T08:38:31.1118784Z 2025-09-07T08:38:31.1118883Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1119074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1119149Z return mod(*inputs) 2025-09-07T08:38:31.1119331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1119411Z x = self.forward_features(x) 2025-09-07T08:38:31.1119619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1119685Z x = self.stages(x) 2025-09-07T08:38:31.1119877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1119943Z xb = self.blocks(xb) 2025-09-07T08:38:31.1120131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1120211Z x = self.conv2(x) 2025-09-07T08:38:31.1120402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1120861Z x = self.bn(x) 2025-09-07T08:38:31.1121047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1121121Z x = self.act(x) 2025-09-07T08:38:31.1121124Z 2025-09-07T08:38:31.1121221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1121403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1121474Z return mod(*inputs) 2025-09-07T08:38:31.1121655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1121729Z x = self.forward_features(x) 2025-09-07T08:38:31.1121940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1122004Z x = self.stages(x) 2025-09-07T08:38:31.1122183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1122277Z xb = self.blocks(xb) 2025-09-07T08:38:31.1122457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1122525Z x = self.conv2(x) 2025-09-07T08:38:31.1122713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1122771Z x = self.bn(x) 2025-09-07T08:38:31.1122962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1123021Z x = self.act(x) 2025-09-07T08:38:31.1123024Z 2025-09-07T08:38:31.1123129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1123310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1123374Z return mod(*inputs) 2025-09-07T08:38:31.1123563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1123631Z x = self.forward_features(x) 2025-09-07T08:38:31.1123841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1123900Z x = self.stages(x) 2025-09-07T08:38:31.1124083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1124145Z xb = self.blocks(xb) 2025-09-07T08:38:31.1124320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1124397Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1124401Z 2025-09-07T08:38:31.1124496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1124684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1124749Z return mod(*inputs) 2025-09-07T08:38:31.1124927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1125006Z x = self.forward_features(x) 2025-09-07T08:38:31.1125206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1125277Z x = self.stages(x) 2025-09-07T08:38:31.1125456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.1125548Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.1125749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1125807Z x = self.bn(x) 2025-09-07T08:38:31.1126004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1126079Z x = self.act(x) 2025-09-07T08:38:31.1126082Z 2025-09-07T08:38:31.1126178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1126398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1126460Z return mod(*inputs) 2025-09-07T08:38:31.1126645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1126709Z x = self.forward_features(x) 2025-09-07T08:38:31.1126917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1126978Z x = self.stages(x) 2025-09-07T08:38:31.1127153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.1127248Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.1127434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1127502Z x = self.bn(x) 2025-09-07T08:38:31.1127686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1127756Z x = self.act(x) 2025-09-07T08:38:31.1127759Z 2025-09-07T08:38:31.1127847Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.1127926Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.1128025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1128203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1128264Z return mod(*inputs) 2025-09-07T08:38:31.1128445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1128513Z x = self.forward_features(x) 2025-09-07T08:38:31.1128719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1128781Z x = self.stages(x) 2025-09-07T08:38:31.1128957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1129067Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1129070Z 2025-09-07T08:38:31.1129163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1129349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1129412Z return mod(*inputs) 2025-09-07T08:38:31.1129586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1129660Z x = self.forward_features(x) 2025-09-07T08:38:31.1129861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1129928Z x = self.stages(x) 2025-09-07T08:38:31.1130106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1130216Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1130409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1130467Z x = self.bn(x) 2025-09-07T08:38:31.1130656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1130715Z x = self.act(x) 2025-09-07T08:38:31.1130717Z 2025-09-07T08:38:31.1130820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1130999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1131060Z return mod(*inputs) 2025-09-07T08:38:31.1131251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1131333Z x = self.forward_features(x) 2025-09-07T08:38:31.1131548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1131644Z x = self.stages(x) 2025-09-07T08:38:31.1131818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1131924Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1132110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1132176Z x = self.bn(x) 2025-09-07T08:38:31.1132361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1132420Z x = self.act(x) 2025-09-07T08:38:31.1132423Z 2025-09-07T08:38:31.1132525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1132704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1132775Z return mod(*inputs) 2025-09-07T08:38:31.1132953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1133045Z x = self.forward_features(x) 2025-09-07T08:38:31.1133243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1133304Z x = self.stages(x) 2025-09-07T08:38:31.1133486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.1133552Z x = self.conv_down(x) 2025-09-07T08:38:31.1133746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1133806Z x = self.bn(x) 2025-09-07T08:38:31.1133985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1134053Z x = self.act(x) 2025-09-07T08:38:31.1134058Z 2025-09-07T08:38:31.1134153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1134343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1134406Z return mod(*inputs) 2025-09-07T08:38:31.1134583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1134658Z x = self.forward_features(x) 2025-09-07T08:38:31.1134861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1134928Z x = self.stages(x) 2025-09-07T08:38:31.1135103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.1135166Z x = self.conv_down(x) 2025-09-07T08:38:31.1135362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1135423Z x = self.bn(x) 2025-09-07T08:38:31.1135614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1135677Z x = self.act(x) 2025-09-07T08:38:31.1135683Z 2025-09-07T08:38:31.1135778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1135967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1136029Z return mod(*inputs) 2025-09-07T08:38:31.1136212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1136277Z x = self.forward_features(x) 2025-09-07T08:38:31.1136484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1136543Z x = self.stages(x) 2025-09-07T08:38:31.1136718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.1136807Z x = self.conv_exp(x) 2025-09-07T08:38:31.1137021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1137088Z x = self.bn(x) 2025-09-07T08:38:31.1137272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1137331Z x = self.act(x) 2025-09-07T08:38:31.1137334Z 2025-09-07T08:38:31.1137436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1137619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1137691Z return mod(*inputs) 2025-09-07T08:38:31.1137869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1137934Z x = self.forward_features(x) 2025-09-07T08:38:31.1138145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1138207Z x = self.stages(x) 2025-09-07T08:38:31.1138397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.1138477Z x = self.conv_exp(x) 2025-09-07T08:38:31.1138661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1138729Z x = self.bn(x) 2025-09-07T08:38:31.1138909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1138975Z x = self.act(x) 2025-09-07T08:38:31.1138977Z 2025-09-07T08:38:31.1139072Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1139251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1139320Z return mod(*inputs) 2025-09-07T08:38:31.1139492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1139567Z x = self.forward_features(x) 2025-09-07T08:38:31.1139769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1139830Z x = self.stages(x) 2025-09-07T08:38:31.1140014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1140079Z xb = self.blocks(xb) 2025-09-07T08:38:31.1140259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1140318Z x = self.conv1(x) 2025-09-07T08:38:31.1140512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1140567Z x = self.bn(x) 2025-09-07T08:38:31.1140747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1140815Z x = self.act(x) 2025-09-07T08:38:31.1140818Z 2025-09-07T08:38:31.1140914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1141102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1141164Z return mod(*inputs) 2025-09-07T08:38:31.1141339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1141415Z x = self.forward_features(x) 2025-09-07T08:38:31.1141612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1141680Z x = self.stages(x) 2025-09-07T08:38:31.1141856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1141918Z xb = self.blocks(xb) 2025-09-07T08:38:31.1142101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1142179Z x = self.conv1(x) 2025-09-07T08:38:31.1142373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1142471Z x = self.bn(x) 2025-09-07T08:38:31.1142657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1142722Z x = self.act(x) 2025-09-07T08:38:31.1142725Z 2025-09-07T08:38:31.1142819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1143010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1143071Z return mod(*inputs) 2025-09-07T08:38:31.1143249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1143322Z x = self.forward_features(x) 2025-09-07T08:38:31.1143521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1143592Z x = self.stages(x) 2025-09-07T08:38:31.1143771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1143858Z xb = self.blocks(xb) 2025-09-07T08:38:31.1144033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1144095Z x = self.conv2(x) 2025-09-07T08:38:31.1144290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1144348Z x = self.bn(x) 2025-09-07T08:38:31.1144539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1144598Z x = self.act(x) 2025-09-07T08:38:31.1144601Z 2025-09-07T08:38:31.1144695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1144890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1144955Z return mod(*inputs) 2025-09-07T08:38:31.1145145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1145214Z x = self.forward_features(x) 2025-09-07T08:38:31.1145414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1145483Z x = self.stages(x) 2025-09-07T08:38:31.1145658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1145727Z xb = self.blocks(xb) 2025-09-07T08:38:31.1145903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1145961Z x = self.conv2(x) 2025-09-07T08:38:31.1146157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1146215Z x = self.bn(x) 2025-09-07T08:38:31.1146407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1146466Z x = self.act(x) 2025-09-07T08:38:31.1146472Z 2025-09-07T08:38:31.1146569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1146761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1146822Z return mod(*inputs) 2025-09-07T08:38:31.1147006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1147072Z x = self.forward_features(x) 2025-09-07T08:38:31.1147270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1147339Z x = self.stages(x) 2025-09-07T08:38:31.1147517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1147603Z xb = self.blocks(xb) 2025-09-07T08:38:31.1147781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1147889Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1147892Z 2025-09-07T08:38:31.1147989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1148170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1148239Z return mod(*inputs) 2025-09-07T08:38:31.1148412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1148486Z x = self.forward_features(x) 2025-09-07T08:38:31.1148688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1148751Z x = self.stages(x) 2025-09-07T08:38:31.1148992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1149057Z xb = self.blocks(xb) 2025-09-07T08:38:31.1149250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1149355Z x = self.conv1(x) 2025-09-07T08:38:31.1149550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1149628Z x = self.bn(x) 2025-09-07T08:38:31.1149813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1149880Z x = self.act(x) 2025-09-07T08:38:31.1149883Z 2025-09-07T08:38:31.1149978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1150158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1150224Z return mod(*inputs) 2025-09-07T08:38:31.1150402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1150478Z x = self.forward_features(x) 2025-09-07T08:38:31.1150682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1150747Z x = self.stages(x) 2025-09-07T08:38:31.1150931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1150993Z xb = self.blocks(xb) 2025-09-07T08:38:31.1151179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1151236Z x = self.conv1(x) 2025-09-07T08:38:31.1151434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1151491Z x = self.bn(x) 2025-09-07T08:38:31.1151676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1151745Z x = self.act(x) 2025-09-07T08:38:31.1151749Z 2025-09-07T08:38:31.1151846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1152039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1152103Z return mod(*inputs) 2025-09-07T08:38:31.1152280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1152353Z x = self.forward_features(x) 2025-09-07T08:38:31.1152554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1152619Z x = self.stages(x) 2025-09-07T08:38:31.1152797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1152859Z xb = self.blocks(xb) 2025-09-07T08:38:31.1153039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1153132Z x = self.conv2(x) 2025-09-07T08:38:31.1153324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1153443Z x = self.bn(x) 2025-09-07T08:38:31.1153627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1153693Z x = self.act(x) 2025-09-07T08:38:31.1153696Z 2025-09-07T08:38:31.1153793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1153975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1154045Z return mod(*inputs) 2025-09-07T08:38:31.1154220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1154291Z x = self.forward_features(x) 2025-09-07T08:38:31.1154492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1154564Z x = self.stages(x) 2025-09-07T08:38:31.1154741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1154822Z xb = self.blocks(xb) 2025-09-07T08:38:31.1155009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1155070Z x = self.conv2(x) 2025-09-07T08:38:31.1155271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1155328Z x = self.bn(x) 2025-09-07T08:38:31.1155512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1155580Z x = self.act(x) 2025-09-07T08:38:31.1155583Z 2025-09-07T08:38:31.1155681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1155874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1155937Z return mod(*inputs) 2025-09-07T08:38:31.1156117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1156192Z x = self.forward_features(x) 2025-09-07T08:38:31.1156395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1156462Z x = self.stages(x) 2025-09-07T08:38:31.1156640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1156700Z xb = self.blocks(xb) 2025-09-07T08:38:31.1156886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1156956Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1156959Z 2025-09-07T08:38:31.1157065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1157246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1157307Z return mod(*inputs) 2025-09-07T08:38:31.1157491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1157558Z x = self.forward_features(x) 2025-09-07T08:38:31.1157767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1157825Z x = self.stages(x) 2025-09-07T08:38:31.1158012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1158076Z xb = self.blocks(xb) 2025-09-07T08:38:31.1158255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1158323Z x = self.conv1(x) 2025-09-07T08:38:31.1158511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1158596Z x = self.bn(x) 2025-09-07T08:38:31.1158779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1158871Z x = self.act(x) 2025-09-07T08:38:31.1158874Z 2025-09-07T08:38:31.1158977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1159158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1159226Z return mod(*inputs) 2025-09-07T08:38:31.1159402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1159468Z x = self.forward_features(x) 2025-09-07T08:38:31.1159675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1159733Z x = self.stages(x) 2025-09-07T08:38:31.1159912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1159975Z xb = self.blocks(xb) 2025-09-07T08:38:31.1160152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1160238Z x = self.conv1(x) 2025-09-07T08:38:31.1160425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1160490Z x = self.bn(x) 2025-09-07T08:38:31.1160671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1160728Z x = self.act(x) 2025-09-07T08:38:31.1160731Z 2025-09-07T08:38:31.1160833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1161014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1161084Z return mod(*inputs) 2025-09-07T08:38:31.1161259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1161336Z x = self.forward_features(x) 2025-09-07T08:38:31.1161539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1161602Z x = self.stages(x) 2025-09-07T08:38:31.1161786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1161847Z xb = self.blocks(xb) 2025-09-07T08:38:31.1162031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1162087Z x = self.conv2(x) 2025-09-07T08:38:31.1162290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1162349Z x = self.bn(x) 2025-09-07T08:38:31.1162537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1162596Z x = self.act(x) 2025-09-07T08:38:31.1162600Z 2025-09-07T08:38:31.1162695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1162887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1162949Z return mod(*inputs) 2025-09-07T08:38:31.1163131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1163198Z x = self.forward_features(x) 2025-09-07T08:38:31.1163398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1163465Z x = self.stages(x) 2025-09-07T08:38:31.1163643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1163713Z xb = self.blocks(xb) 2025-09-07T08:38:31.1163888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1163948Z x = self.conv2(x) 2025-09-07T08:38:31.1164175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1164232Z x = self.bn(x) 2025-09-07T08:38:31.1164473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1164533Z x = self.act(x) 2025-09-07T08:38:31.1164535Z 2025-09-07T08:38:31.1164637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1164819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1164881Z return mod(*inputs) 2025-09-07T08:38:31.1165068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1165136Z x = self.forward_features(x) 2025-09-07T08:38:31.1165344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1165405Z x = self.stages(x) 2025-09-07T08:38:31.1165586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1165675Z xb = self.blocks(xb) 2025-09-07T08:38:31.1165851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1165925Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1165928Z 2025-09-07T08:38:31.1166021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1166201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1166267Z return mod(*inputs) 2025-09-07T08:38:31.1166445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1166515Z x = self.forward_features(x) 2025-09-07T08:38:31.1166715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1166777Z x = self.stages(x) 2025-09-07T08:38:31.1166964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1167029Z xb = self.blocks(xb) 2025-09-07T08:38:31.1167213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1167273Z x = self.conv1(x) 2025-09-07T08:38:31.1167462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1167527Z x = self.bn(x) 2025-09-07T08:38:31.1167709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1167772Z x = self.act(x) 2025-09-07T08:38:31.1167775Z 2025-09-07T08:38:31.1167867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1168053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1168115Z return mod(*inputs) 2025-09-07T08:38:31.1168292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1168367Z x = self.forward_features(x) 2025-09-07T08:38:31.1168566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1168636Z x = self.stages(x) 2025-09-07T08:38:31.1168811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1168871Z xb = self.blocks(xb) 2025-09-07T08:38:31.1169054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1169112Z x = self.conv1(x) 2025-09-07T08:38:31.1169306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1169361Z x = self.bn(x) 2025-09-07T08:38:31.1169559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1169624Z x = self.act(x) 2025-09-07T08:38:31.1169659Z 2025-09-07T08:38:31.1169755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1169939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1169999Z return mod(*inputs) 2025-09-07T08:38:31.1170170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1170242Z x = self.forward_features(x) 2025-09-07T08:38:31.1170439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1170506Z x = self.stages(x) 2025-09-07T08:38:31.1170680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1170743Z xb = self.blocks(xb) 2025-09-07T08:38:31.1170925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1171001Z x = self.conv2(x) 2025-09-07T08:38:31.1171197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1171255Z x = self.bn(x) 2025-09-07T08:38:31.1171438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1171500Z x = self.act(x) 2025-09-07T08:38:31.1171503Z 2025-09-07T08:38:31.1171597Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1171785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1171846Z return mod(*inputs) 2025-09-07T08:38:31.1172029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1172099Z x = self.forward_features(x) 2025-09-07T08:38:31.1172300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1172374Z x = self.stages(x) 2025-09-07T08:38:31.1172552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1172620Z xb = self.blocks(xb) 2025-09-07T08:38:31.1172796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1172854Z x = self.conv2(x) 2025-09-07T08:38:31.1173052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1173109Z x = self.bn(x) 2025-09-07T08:38:31.1173300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1173361Z x = self.act(x) 2025-09-07T08:38:31.1173365Z 2025-09-07T08:38:31.1173462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1173652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1173714Z return mod(*inputs) 2025-09-07T08:38:31.1173900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1173969Z x = self.forward_features(x) 2025-09-07T08:38:31.1174171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1174236Z x = self.stages(x) 2025-09-07T08:38:31.1174414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1174482Z xb = self.blocks(xb) 2025-09-07T08:38:31.1174657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1174725Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1174751Z 2025-09-07T08:38:31.1174850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1175063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1175133Z return mod(*inputs) 2025-09-07T08:38:31.1175308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1175384Z x = self.forward_features(x) 2025-09-07T08:38:31.1175586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1175645Z x = self.stages(x) 2025-09-07T08:38:31.1175828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1175889Z xb = self.blocks(xb) 2025-09-07T08:38:31.1176070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1176132Z x = self.conv1(x) 2025-09-07T08:38:31.1176319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1176399Z x = self.bn(x) 2025-09-07T08:38:31.1176582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1176646Z x = self.act(x) 2025-09-07T08:38:31.1176649Z 2025-09-07T08:38:31.1176744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1176925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1176996Z return mod(*inputs) 2025-09-07T08:38:31.1177173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1177246Z x = self.forward_features(x) 2025-09-07T08:38:31.1177445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1177505Z x = self.stages(x) 2025-09-07T08:38:31.1177691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1177758Z xb = self.blocks(xb) 2025-09-07T08:38:31.1177944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1178004Z x = self.conv1(x) 2025-09-07T08:38:31.1178192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1178254Z x = self.bn(x) 2025-09-07T08:38:31.1178437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1178505Z x = self.act(x) 2025-09-07T08:38:31.1178508Z 2025-09-07T08:38:31.1178604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1178793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1178857Z return mod(*inputs) 2025-09-07T08:38:31.1179040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1179114Z x = self.forward_features(x) 2025-09-07T08:38:31.1179316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1179382Z x = self.stages(x) 2025-09-07T08:38:31.1179560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1179622Z xb = self.blocks(xb) 2025-09-07T08:38:31.1179802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1179860Z x = self.conv2(x) 2025-09-07T08:38:31.1180058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1180114Z x = self.bn(x) 2025-09-07T08:38:31.1180311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1180377Z x = self.act(x) 2025-09-07T08:38:31.1180414Z 2025-09-07T08:38:31.1180511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1180697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1180756Z return mod(*inputs) 2025-09-07T08:38:31.1180934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1181006Z x = self.forward_features(x) 2025-09-07T08:38:31.1181203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1181271Z x = self.stages(x) 2025-09-07T08:38:31.1181445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1181506Z xb = self.blocks(xb) 2025-09-07T08:38:31.1181689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1181750Z x = self.conv2(x) 2025-09-07T08:38:31.1181966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1182019Z x = self.bn(x) 2025-09-07T08:38:31.1182203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1182267Z x = self.act(x) 2025-09-07T08:38:31.1182270Z 2025-09-07T08:38:31.1182364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1182555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1182614Z return mod(*inputs) 2025-09-07T08:38:31.1182797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1182865Z x = self.forward_features(x) 2025-09-07T08:38:31.1183065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1183136Z x = self.stages(x) 2025-09-07T08:38:31.1183311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1183379Z xb = self.blocks(xb) 2025-09-07T08:38:31.1183552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1183617Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1183620Z 2025-09-07T08:38:31.1183723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1183904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1183973Z return mod(*inputs) 2025-09-07T08:38:31.1184146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1184216Z x = self.forward_features(x) 2025-09-07T08:38:31.1184428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1184489Z x = self.stages(x) 2025-09-07T08:38:31.1184674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1184736Z xb = self.blocks(xb) 2025-09-07T08:38:31.1184910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1184981Z x = self.conv1(x) 2025-09-07T08:38:31.1185165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1185228Z x = self.bn(x) 2025-09-07T08:38:31.1185410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1185467Z x = self.act(x) 2025-09-07T08:38:31.1185493Z 2025-09-07T08:38:31.1185590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1185796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1185868Z return mod(*inputs) 2025-09-07T08:38:31.1186044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1186116Z x = self.forward_features(x) 2025-09-07T08:38:31.1186316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1186375Z x = self.stages(x) 2025-09-07T08:38:31.1186560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1186622Z xb = self.blocks(xb) 2025-09-07T08:38:31.1186801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1186861Z x = self.conv1(x) 2025-09-07T08:38:31.1187049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1187117Z x = self.bn(x) 2025-09-07T08:38:31.1187314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1187382Z x = self.act(x) 2025-09-07T08:38:31.1187384Z 2025-09-07T08:38:31.1187480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1187661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1187731Z return mod(*inputs) 2025-09-07T08:38:31.1187904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1187977Z x = self.forward_features(x) 2025-09-07T08:38:31.1188177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1188240Z x = self.stages(x) 2025-09-07T08:38:31.1188423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1188487Z xb = self.blocks(xb) 2025-09-07T08:38:31.1188673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1188731Z x = self.conv2(x) 2025-09-07T08:38:31.1188919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1188981Z x = self.bn(x) 2025-09-07T08:38:31.1189165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1189228Z x = self.act(x) 2025-09-07T08:38:31.1189230Z 2025-09-07T08:38:31.1189325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1189518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1189581Z return mod(*inputs) 2025-09-07T08:38:31.1189755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1189829Z x = self.forward_features(x) 2025-09-07T08:38:31.1190030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1190094Z x = self.stages(x) 2025-09-07T08:38:31.1190270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1190331Z xb = self.blocks(xb) 2025-09-07T08:38:31.1190515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1190571Z x = self.conv2(x) 2025-09-07T08:38:31.1190766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1190822Z x = self.bn(x) 2025-09-07T08:38:31.1191017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1191086Z x = self.act(x) 2025-09-07T08:38:31.1191089Z 2025-09-07T08:38:31.1191212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1191403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1191465Z return mod(*inputs) 2025-09-07T08:38:31.1191638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1191713Z x = self.forward_features(x) 2025-09-07T08:38:31.1191912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1191977Z x = self.stages(x) 2025-09-07T08:38:31.1192149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1192209Z xb = self.blocks(xb) 2025-09-07T08:38:31.1192390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1192457Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1192477Z 2025-09-07T08:38:31.1192579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1192760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1192826Z return mod(*inputs) 2025-09-07T08:38:31.1193003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1193068Z x = self.forward_features(x) 2025-09-07T08:38:31.1193275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1193334Z x = self.stages(x) 2025-09-07T08:38:31.1193515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1193582Z xb = self.blocks(xb) 2025-09-07T08:38:31.1193755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1193826Z x = self.conv1(x) 2025-09-07T08:38:31.1194017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1194082Z x = self.bn(x) 2025-09-07T08:38:31.1194262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1194322Z x = self.act(x) 2025-09-07T08:38:31.1194325Z 2025-09-07T08:38:31.1194430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1194611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1194680Z return mod(*inputs) 2025-09-07T08:38:31.1194856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1194923Z x = self.forward_features(x) 2025-09-07T08:38:31.1195139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1195200Z x = self.stages(x) 2025-09-07T08:38:31.1195382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1195442Z xb = self.blocks(xb) 2025-09-07T08:38:31.1195616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1195682Z x = self.conv1(x) 2025-09-07T08:38:31.1195870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1195940Z x = self.bn(x) 2025-09-07T08:38:31.1196122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1196180Z x = self.act(x) 2025-09-07T08:38:31.1196203Z 2025-09-07T08:38:31.1196299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1196505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1196577Z return mod(*inputs) 2025-09-07T08:38:31.1196753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1196826Z x = self.forward_features(x) 2025-09-07T08:38:31.1197031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1197089Z x = self.stages(x) 2025-09-07T08:38:31.1197273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1197334Z xb = self.blocks(xb) 2025-09-07T08:38:31.1197516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1197579Z x = self.conv2(x) 2025-09-07T08:38:31.1197769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1197833Z x = self.bn(x) 2025-09-07T08:38:31.1198033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1198099Z x = self.act(x) 2025-09-07T08:38:31.1198102Z 2025-09-07T08:38:31.1198197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1198378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1198448Z return mod(*inputs) 2025-09-07T08:38:31.1198623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1198697Z x = self.forward_features(x) 2025-09-07T08:38:31.1198897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1198959Z x = self.stages(x) 2025-09-07T08:38:31.1199140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1199206Z xb = self.blocks(xb) 2025-09-07T08:38:31.1199386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1199446Z x = self.conv2(x) 2025-09-07T08:38:31.1199629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1199695Z x = self.bn(x) 2025-09-07T08:38:31.1199873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1199942Z x = self.act(x) 2025-09-07T08:38:31.1199944Z 2025-09-07T08:38:31.1200039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1200226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1200289Z return mod(*inputs) 2025-09-07T08:38:31.1200464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1200543Z x = self.forward_features(x) 2025-09-07T08:38:31.1200742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1200806Z x = self.stages(x) 2025-09-07T08:38:31.1200979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1201039Z xb = self.blocks(xb) 2025-09-07T08:38:31.1201216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1201281Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1201284Z 2025-09-07T08:38:31.1201383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1201564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1201641Z return mod(*inputs) 2025-09-07T08:38:31.1201861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1201931Z x = self.forward_features(x) 2025-09-07T08:38:31.1202136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1202195Z x = self.stages(x) 2025-09-07T08:38:31.1202368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1202434Z xb = self.blocks(xb) 2025-09-07T08:38:31.1202605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1202674Z x = self.conv1(x) 2025-09-07T08:38:31.1202860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1202918Z x = self.bn(x) 2025-09-07T08:38:31.1203105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1203163Z x = self.act(x) 2025-09-07T08:38:31.1203182Z 2025-09-07T08:38:31.1203285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1203468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1203528Z return mod(*inputs) 2025-09-07T08:38:31.1203712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1203777Z x = self.forward_features(x) 2025-09-07T08:38:31.1203981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1204040Z x = self.stages(x) 2025-09-07T08:38:31.1204221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1204283Z xb = self.blocks(xb) 2025-09-07T08:38:31.1204458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1204527Z x = self.conv1(x) 2025-09-07T08:38:31.1204714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1204778Z x = self.bn(x) 2025-09-07T08:38:31.1204962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1205019Z x = self.act(x) 2025-09-07T08:38:31.1205022Z 2025-09-07T08:38:31.1205126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1205306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1205371Z return mod(*inputs) 2025-09-07T08:38:31.1205545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1205613Z x = self.forward_features(x) 2025-09-07T08:38:31.1205820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1205885Z x = self.stages(x) 2025-09-07T08:38:31.1206066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1206128Z xb = self.blocks(xb) 2025-09-07T08:38:31.1206302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1206368Z x = self.conv2(x) 2025-09-07T08:38:31.1206553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1206617Z x = self.bn(x) 2025-09-07T08:38:31.1206799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1206857Z x = self.act(x) 2025-09-07T08:38:31.1206870Z 2025-09-07T08:38:31.1206983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1207165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1207261Z return mod(*inputs) 2025-09-07T08:38:31.1207445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1207520Z x = self.forward_features(x) 2025-09-07T08:38:31.1207721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1207779Z x = self.stages(x) 2025-09-07T08:38:31.1207963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1208025Z xb = self.blocks(xb) 2025-09-07T08:38:31.1208208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1208265Z x = self.conv2(x) 2025-09-07T08:38:31.1208455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1208522Z x = self.bn(x) 2025-09-07T08:38:31.1208725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1208792Z x = self.act(x) 2025-09-07T08:38:31.1208795Z 2025-09-07T08:38:31.1208890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1209070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1209139Z return mod(*inputs) 2025-09-07T08:38:31.1209313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1209385Z x = self.forward_features(x) 2025-09-07T08:38:31.1209581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1209641Z x = self.stages(x) 2025-09-07T08:38:31.1209825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1209887Z xb = self.blocks(xb) 2025-09-07T08:38:31.1210072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1210142Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1210145Z 2025-09-07T08:38:31.1210239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1210425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1210485Z return mod(*inputs) 2025-09-07T08:38:31.1210667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1210732Z x = self.forward_features(x) 2025-09-07T08:38:31.1210938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1211000Z x = self.stages(x) 2025-09-07T08:38:31.1211173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.1211274Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.1211464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1211529Z x = self.bn(x) 2025-09-07T08:38:31.1211708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1211765Z x = self.act(x) 2025-09-07T08:38:31.1211767Z 2025-09-07T08:38:31.1211869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1212051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1212118Z return mod(*inputs) 2025-09-07T08:38:31.1212290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1212373Z x = self.forward_features(x) 2025-09-07T08:38:31.1212607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1212667Z x = self.stages(x) 2025-09-07T08:38:31.1212849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.1212936Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.1213125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1213191Z x = self.bn(x) 2025-09-07T08:38:31.1213374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1213437Z x = self.act(x) 2025-09-07T08:38:31.1213440Z 2025-09-07T08:38:31.1213517Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.1213592Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.1213695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1213879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1213962Z return mod(*inputs) 2025-09-07T08:38:31.1214136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1214203Z x = self.forward_features(x) 2025-09-07T08:38:31.1214409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1214467Z x = self.stages(x) 2025-09-07T08:38:31.1214650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1214753Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1214756Z 2025-09-07T08:38:31.1214857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1215034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1215098Z return mod(*inputs) 2025-09-07T08:38:31.1215284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1215350Z x = self.forward_features(x) 2025-09-07T08:38:31.1215555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1215615Z x = self.stages(x) 2025-09-07T08:38:31.1215790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1215896Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1216083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1216148Z x = self.bn(x) 2025-09-07T08:38:31.1216327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1216387Z x = self.act(x) 2025-09-07T08:38:31.1216390Z 2025-09-07T08:38:31.1216495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1216676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1216744Z return mod(*inputs) 2025-09-07T08:38:31.1216919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1216993Z x = self.forward_features(x) 2025-09-07T08:38:31.1217193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1217250Z x = self.stages(x) 2025-09-07T08:38:31.1217430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1217525Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1217736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1217794Z x = self.bn(x) 2025-09-07T08:38:31.1218007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1218072Z x = self.act(x) 2025-09-07T08:38:31.1218075Z 2025-09-07T08:38:31.1218171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1218358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1218419Z return mod(*inputs) 2025-09-07T08:38:31.1218594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1218666Z x = self.forward_features(x) 2025-09-07T08:38:31.1218864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1218933Z x = self.stages(x) 2025-09-07T08:38:31.1219107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.1219171Z x = self.conv_down(x) 2025-09-07T08:38:31.1219384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1219440Z x = self.bn(x) 2025-09-07T08:38:31.1219628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1219685Z x = self.act(x) 2025-09-07T08:38:31.1219688Z 2025-09-07T08:38:31.1219781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1219968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1220030Z return mod(*inputs) 2025-09-07T08:38:31.1220213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1220278Z x = self.forward_features(x) 2025-09-07T08:38:31.1220486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1220552Z x = self.stages(x) 2025-09-07T08:38:31.1220725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 334, in forward 2025-09-07T08:38:31.1220798Z x = self.conv_down(x) 2025-09-07T08:38:31.1220983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1221047Z x = self.bn(x) 2025-09-07T08:38:31.1221228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1221285Z x = self.act(x) 2025-09-07T08:38:31.1221288Z 2025-09-07T08:38:31.1221388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1221569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1221639Z return mod(*inputs) 2025-09-07T08:38:31.1221815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1221884Z x = self.forward_features(x) 2025-09-07T08:38:31.1222090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1222149Z x = self.stages(x) 2025-09-07T08:38:31.1222328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.1222393Z x = self.conv_exp(x) 2025-09-07T08:38:31.1222578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1222642Z x = self.bn(x) 2025-09-07T08:38:31.1222821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1222885Z x = self.act(x) 2025-09-07T08:38:31.1222888Z 2025-09-07T08:38:31.1223000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1223215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1223289Z return mod(*inputs) 2025-09-07T08:38:31.1223465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1223537Z x = self.forward_features(x) 2025-09-07T08:38:31.1223736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1223800Z x = self.stages(x) 2025-09-07T08:38:31.1223974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 335, in forward 2025-09-07T08:38:31.1224035Z x = self.conv_exp(x) 2025-09-07T08:38:31.1224227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1224285Z x = self.bn(x) 2025-09-07T08:38:31.1224474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1224533Z x = self.act(x) 2025-09-07T08:38:31.1224552Z 2025-09-07T08:38:31.1224648Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1224838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1224899Z return mod(*inputs) 2025-09-07T08:38:31.1225083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1225147Z x = self.forward_features(x) 2025-09-07T08:38:31.1225350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1225415Z x = self.stages(x) 2025-09-07T08:38:31.1225592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1225665Z xb = self.blocks(xb) 2025-09-07T08:38:31.1225840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1225902Z x = self.conv1(x) 2025-09-07T08:38:31.1226099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1226155Z x = self.bn(x) 2025-09-07T08:38:31.1226342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1226400Z x = self.act(x) 2025-09-07T08:38:31.1226403Z 2025-09-07T08:38:31.1226499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1226689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1226749Z return mod(*inputs) 2025-09-07T08:38:31.1226936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1227005Z x = self.forward_features(x) 2025-09-07T08:38:31.1227205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1227278Z x = self.stages(x) 2025-09-07T08:38:31.1227455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1227523Z xb = self.blocks(xb) 2025-09-07T08:38:31.1227699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1227767Z x = self.conv1(x) 2025-09-07T08:38:31.1227956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1228013Z x = self.bn(x) 2025-09-07T08:38:31.1228203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1228263Z x = self.act(x) 2025-09-07T08:38:31.1228267Z 2025-09-07T08:38:31.1228385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1228564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1228652Z return mod(*inputs) 2025-09-07T08:38:31.1228837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1228901Z x = self.forward_features(x) 2025-09-07T08:38:31.1229109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1229171Z x = self.stages(x) 2025-09-07T08:38:31.1229345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1229416Z xb = self.blocks(xb) 2025-09-07T08:38:31.1229592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1229660Z x = self.conv2(x) 2025-09-07T08:38:31.1229849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1229905Z x = self.bn(x) 2025-09-07T08:38:31.1230115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1230176Z x = self.act(x) 2025-09-07T08:38:31.1230178Z 2025-09-07T08:38:31.1230278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1230456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1230518Z return mod(*inputs) 2025-09-07T08:38:31.1230700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1230765Z x = self.forward_features(x) 2025-09-07T08:38:31.1230970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1231028Z x = self.stages(x) 2025-09-07T08:38:31.1231212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1231274Z xb = self.blocks(xb) 2025-09-07T08:38:31.1231451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1231515Z x = self.conv2(x) 2025-09-07T08:38:31.1231700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1231762Z x = self.bn(x) 2025-09-07T08:38:31.1231944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1232002Z x = self.act(x) 2025-09-07T08:38:31.1232004Z 2025-09-07T08:38:31.1232105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1232287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1232356Z return mod(*inputs) 2025-09-07T08:38:31.1232531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1232597Z x = self.forward_features(x) 2025-09-07T08:38:31.1232808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1232869Z x = self.stages(x) 2025-09-07T08:38:31.1233053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1233113Z xb = self.blocks(xb) 2025-09-07T08:38:31.1233287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1233363Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1233366Z 2025-09-07T08:38:31.1233461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1233648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1233724Z return mod(*inputs) 2025-09-07T08:38:31.1233899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1234003Z x = self.forward_features(x) 2025-09-07T08:38:31.1234206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1234272Z x = self.stages(x) 2025-09-07T08:38:31.1234448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1234516Z xb = self.blocks(xb) 2025-09-07T08:38:31.1234692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1234751Z x = self.conv1(x) 2025-09-07T08:38:31.1234945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1235001Z x = self.bn(x) 2025-09-07T08:38:31.1235195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1235252Z x = self.act(x) 2025-09-07T08:38:31.1235255Z 2025-09-07T08:38:31.1235367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1235554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1235616Z return mod(*inputs) 2025-09-07T08:38:31.1235797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1235863Z x = self.forward_features(x) 2025-09-07T08:38:31.1236059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1236123Z x = self.stages(x) 2025-09-07T08:38:31.1236294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1236363Z xb = self.blocks(xb) 2025-09-07T08:38:31.1236535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1236593Z x = self.conv1(x) 2025-09-07T08:38:31.1236791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1236847Z x = self.bn(x) 2025-09-07T08:38:31.1237034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1237090Z x = self.act(x) 2025-09-07T08:38:31.1237093Z 2025-09-07T08:38:31.1237186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1237372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1237433Z return mod(*inputs) 2025-09-07T08:38:31.1237614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1237679Z x = self.forward_features(x) 2025-09-07T08:38:31.1237878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1237950Z x = self.stages(x) 2025-09-07T08:38:31.1238123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1238195Z xb = self.blocks(xb) 2025-09-07T08:38:31.1238368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1238433Z x = self.conv2(x) 2025-09-07T08:38:31.1238620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1238678Z x = self.bn(x) 2025-09-07T08:38:31.1238867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1238924Z x = self.act(x) 2025-09-07T08:38:31.1238927Z 2025-09-07T08:38:31.1239026Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1239225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1239321Z return mod(*inputs) 2025-09-07T08:38:31.1239510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1239576Z x = self.forward_features(x) 2025-09-07T08:38:31.1239787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1239846Z x = self.stages(x) 2025-09-07T08:38:31.1240022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1240088Z xb = self.blocks(xb) 2025-09-07T08:38:31.1240265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1240330Z x = self.conv2(x) 2025-09-07T08:38:31.1240519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1240578Z x = self.bn(x) 2025-09-07T08:38:31.1240771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1240842Z x = self.act(x) 2025-09-07T08:38:31.1240845Z 2025-09-07T08:38:31.1240948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1241128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1241188Z return mod(*inputs) 2025-09-07T08:38:31.1241373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1241439Z x = self.forward_features(x) 2025-09-07T08:38:31.1241643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1241703Z x = self.stages(x) 2025-09-07T08:38:31.1241880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1241950Z xb = self.blocks(xb) 2025-09-07T08:38:31.1242131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1242205Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1242208Z 2025-09-07T08:38:31.1242303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1242489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1242551Z return mod(*inputs) 2025-09-07T08:38:31.1242723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1242797Z x = self.forward_features(x) 2025-09-07T08:38:31.1242997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1243068Z x = self.stages(x) 2025-09-07T08:38:31.1243245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1243308Z xb = self.blocks(xb) 2025-09-07T08:38:31.1243494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1243553Z x = self.conv1(x) 2025-09-07T08:38:31.1243748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1243806Z x = self.bn(x) 2025-09-07T08:38:31.1243988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1244052Z x = self.act(x) 2025-09-07T08:38:31.1244055Z 2025-09-07T08:38:31.1244153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1244339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1244552Z return mod(*inputs) 2025-09-07T08:38:31.1244731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1244838Z x = self.forward_features(x) 2025-09-07T08:38:31.1245041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1245106Z x = self.stages(x) 2025-09-07T08:38:31.1245282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1245344Z xb = self.blocks(xb) 2025-09-07T08:38:31.1245528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1245587Z x = self.conv1(x) 2025-09-07T08:38:31.1245785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1245843Z x = self.bn(x) 2025-09-07T08:38:31.1246034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1246094Z x = self.act(x) 2025-09-07T08:38:31.1246097Z 2025-09-07T08:38:31.1246209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1246398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1246459Z return mod(*inputs) 2025-09-07T08:38:31.1246643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1246707Z x = self.forward_features(x) 2025-09-07T08:38:31.1246907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1246976Z x = self.stages(x) 2025-09-07T08:38:31.1247150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1247219Z xb = self.blocks(xb) 2025-09-07T08:38:31.1247395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1247453Z x = self.conv2(x) 2025-09-07T08:38:31.1247649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1247705Z x = self.bn(x) 2025-09-07T08:38:31.1247892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1247951Z x = self.act(x) 2025-09-07T08:38:31.1247953Z 2025-09-07T08:38:31.1248047Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1248231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1248290Z return mod(*inputs) 2025-09-07T08:38:31.1248505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1248572Z x = self.forward_features(x) 2025-09-07T08:38:31.1248777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1248884Z x = self.stages(x) 2025-09-07T08:38:31.1249073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1249143Z xb = self.blocks(xb) 2025-09-07T08:38:31.1249323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1249389Z x = self.conv2(x) 2025-09-07T08:38:31.1249581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1249639Z x = self.bn(x) 2025-09-07T08:38:31.1249832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1249890Z x = self.act(x) 2025-09-07T08:38:31.1249893Z 2025-09-07T08:38:31.1249999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1250217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1250280Z return mod(*inputs) 2025-09-07T08:38:31.1250527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1250596Z x = self.forward_features(x) 2025-09-07T08:38:31.1250809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1250870Z x = self.stages(x) 2025-09-07T08:38:31.1251051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1251121Z xb = self.blocks(xb) 2025-09-07T08:38:31.1251304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1251384Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1251387Z 2025-09-07T08:38:31.1251487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1251673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1251773Z return mod(*inputs) 2025-09-07T08:38:31.1251954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1252030Z x = self.forward_features(x) 2025-09-07T08:38:31.1252237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1252298Z x = self.stages(x) 2025-09-07T08:38:31.1252487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1252551Z xb = self.blocks(xb) 2025-09-07T08:38:31.1252739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1252802Z x = self.conv1(x) 2025-09-07T08:38:31.1252996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1253071Z x = self.bn(x) 2025-09-07T08:38:31.1253262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1253330Z x = self.act(x) 2025-09-07T08:38:31.1253333Z 2025-09-07T08:38:31.1253431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1253625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1253686Z return mod(*inputs) 2025-09-07T08:38:31.1253868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1253945Z x = self.forward_features(x) 2025-09-07T08:38:31.1254148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1254216Z x = self.stages(x) 2025-09-07T08:38:31.1254396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1254457Z xb = self.blocks(xb) 2025-09-07T08:38:31.1254645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 219, in forward 2025-09-07T08:38:31.1254704Z x = self.conv1(x) 2025-09-07T08:38:31.1254901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1254958Z x = self.bn(x) 2025-09-07T08:38:31.1255141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1255207Z x = self.act(x) 2025-09-07T08:38:31.1255210Z 2025-09-07T08:38:31.1255306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1255500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1255559Z return mod(*inputs) 2025-09-07T08:38:31.1255757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1255857Z x = self.forward_features(x) 2025-09-07T08:38:31.1256065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1256134Z x = self.stages(x) 2025-09-07T08:38:31.1256316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1256378Z xb = self.blocks(xb) 2025-09-07T08:38:31.1256565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1256623Z x = self.conv2(x) 2025-09-07T08:38:31.1256821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1256879Z x = self.bn(x) 2025-09-07T08:38:31.1257071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1257132Z x = self.act(x) 2025-09-07T08:38:31.1257135Z 2025-09-07T08:38:31.1257235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1257444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1257506Z return mod(*inputs) 2025-09-07T08:38:31.1257692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1257761Z x = self.forward_features(x) 2025-09-07T08:38:31.1257964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1258031Z x = self.stages(x) 2025-09-07T08:38:31.1258210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1258277Z xb = self.blocks(xb) 2025-09-07T08:38:31.1258456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 221, in forward 2025-09-07T08:38:31.1258516Z x = self.conv2(x) 2025-09-07T08:38:31.1258719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1258779Z x = self.bn(x) 2025-09-07T08:38:31.1258969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1259029Z x = self.act(x) 2025-09-07T08:38:31.1259031Z 2025-09-07T08:38:31.1259127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1259321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1259382Z return mod(*inputs) 2025-09-07T08:38:31.1259570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1259635Z x = self.forward_features(x) 2025-09-07T08:38:31.1259843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1259911Z x = self.stages(x) 2025-09-07T08:38:31.1260095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 337, in forward 2025-09-07T08:38:31.1260165Z xb = self.blocks(xb) 2025-09-07T08:38:31.1260342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 222, in forward 2025-09-07T08:38:31.1260410Z x = self.drop_path(x) + shortcut 2025-09-07T08:38:31.1260421Z 2025-09-07T08:38:31.1260518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1260703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1260770Z return mod(*inputs) 2025-09-07T08:38:31.1260949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1261023Z x = self.forward_features(x) 2025-09-07T08:38:31.1261244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1261336Z x = self.stages(x) 2025-09-07T08:38:31.1261523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.1261614Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.1261819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1261876Z x = self.bn(x) 2025-09-07T08:38:31.1262055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1262123Z x = self.act(x) 2025-09-07T08:38:31.1262126Z 2025-09-07T08:38:31.1262220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1262408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1262470Z return mod(*inputs) 2025-09-07T08:38:31.1262645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1262743Z x = self.forward_features(x) 2025-09-07T08:38:31.1262945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1263012Z x = self.stages(x) 2025-09-07T08:38:31.1263193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 338, in forward 2025-09-07T08:38:31.1263276Z xb = self.conv_transition_b(xb).contiguous() 2025-09-07T08:38:31.1263474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1263534Z x = self.bn(x) 2025-09-07T08:38:31.1263723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1263780Z x = self.act(x) 2025-09-07T08:38:31.1263784Z 2025-09-07T08:38:31.1263869Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.1263945Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.1264044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1264234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1264294Z return mod(*inputs) 2025-09-07T08:38:31.1264482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1264547Z x = self.forward_features(x) 2025-09-07T08:38:31.1264750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1264819Z x = self.stages(x) 2025-09-07T08:38:31.1264996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1265103Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1265107Z 2025-09-07T08:38:31.1265204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1265388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1265457Z return mod(*inputs) 2025-09-07T08:38:31.1265634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1265709Z x = self.forward_features(x) 2025-09-07T08:38:31.1265913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1265972Z x = self.stages(x) 2025-09-07T08:38:31.1266158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1266255Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1266456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1266531Z x = self.bn(x) 2025-09-07T08:38:31.1266742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1266812Z x = self.act(x) 2025-09-07T08:38:31.1266815Z 2025-09-07T08:38:31.1266909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1267100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1267160Z return mod(*inputs) 2025-09-07T08:38:31.1267346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 721, in forward 2025-09-07T08:38:31.1267411Z x = self.forward_features(x) 2025-09-07T08:38:31.1267609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 714, in forward_features 2025-09-07T08:38:31.1267678Z x = self.stages(x) 2025-09-07T08:38:31.1267854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 339, in forward 2025-09-07T08:38:31.1267958Z out = self.conv_transition(torch.cat([xs, xb], dim=1)) 2025-09-07T08:38:31.1268148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv_bn_act.py", line 84, in forward 2025-09-07T08:38:31.1268222Z x = self.bn(x) 2025-09-07T08:38:31.1268414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:38:31.1268472Z x = self.act(x) 2025-09-07T08:38:31.1268475Z 2025-09-07T08:38:31.1268556Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.1268653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:31.1268834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:31.1268902Z return mod(*inputs) 2025-09-07T08:38:31.1269082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 722, in forward 2025-09-07T08:38:31.1269158Z x = self.forward_head(x) 2025-09-07T08:38:31.1269351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cspnet.py", line 718, in forward_head 2025-09-07T08:38:31.1269492Z return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x) 2025-09-07T08:38:31.1269691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/classifier.py", line 128, in forward 2025-09-07T08:38:31.1269757Z x = self.global_pool(x) 2025-09-07T08:38:31.1269985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:38:31.1270046Z x = self.pool(x) 2025-09-07T08:38:31.1270049Z 2025-09-07T08:38:31.1270132Z cudagraph partition due to non gpu ops 2025-09-07T08:38:31.1270205Z cudagraph partition due to non gpu ops 2025-09-07T08:38:45.8103018Z pass 2025-09-07T08:38:45.8103482Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:47.8893486Z /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. 2025-09-07T08:38:47.8894403Z import pynvml # type: ignore[import] 2025-09-07T08:38:50.0727602Z 2025-09-07T08:38:50.9136187Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:50.9136537Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:50.9136929Z cpu eval deit_base_distilled_patch16_224 2025-09-07T08:38:51.2436007Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:51.3252011Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:51.5385248Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:59.3817051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3817938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3818397Z return mod(*inputs) 2025-09-07T08:38:59.3818780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3819137Z x = self.forward_features(x) 2025-09-07T08:38:59.3819536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 823, in forward_features 2025-09-07T08:38:59.3819898Z x = self.patch_embed(x) 2025-09-07T08:38:59.3820235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:38:59.3820553Z x = self.proj(x) 2025-09-07T08:38:59.3820663Z 2025-09-07T08:38:59.3820758Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3820964Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3821199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3821567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3821937Z return mod(*inputs) 2025-09-07T08:38:59.3822286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3822629Z x = self.forward_features(x) 2025-09-07T08:38:59.3822999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 823, in forward_features 2025-09-07T08:38:59.3823357Z x = self.patch_embed(x) 2025-09-07T08:38:59.3823694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:38:59.3824009Z x = self.proj(x) 2025-09-07T08:38:59.3824101Z 2025-09-07T08:38:59.3824207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3824568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3824871Z return mod(*inputs) 2025-09-07T08:38:59.3825215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3825556Z x = self.forward_features(x) 2025-09-07T08:38:59.3825924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 823, in forward_features 2025-09-07T08:38:59.3826278Z x = self.patch_embed(x) 2025-09-07T08:38:59.3826612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:38:59.3826924Z x = self.proj(x) 2025-09-07T08:38:59.3827016Z 2025-09-07T08:38:59.3827119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3827476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3827782Z return mod(*inputs) 2025-09-07T08:38:59.3828128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3828463Z x = self.forward_features(x) 2025-09-07T08:38:59.3828895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 824, in forward_features 2025-09-07T08:38:59.3829239Z x = self._pos_embed(x) 2025-09-07T08:38:59.3829567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/deit.py", line 100, in _pos_embed 2025-09-07T08:38:59.3829871Z x = torch.cat(( 2025-09-07T08:38:59.3829961Z 2025-09-07T08:38:59.3830068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3830431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3830738Z return mod(*inputs) 2025-09-07T08:38:59.3831079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3831453Z x = self.forward_features(x) 2025-09-07T08:38:59.3831859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 824, in forward_features 2025-09-07T08:38:59.3832200Z x = self._pos_embed(x) 2025-09-07T08:38:59.3832518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/deit.py", line 100, in _pos_embed 2025-09-07T08:38:59.3832818Z x = torch.cat(( 2025-09-07T08:38:59.3832909Z 2025-09-07T08:38:59.3832994Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3833229Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3833425Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3833645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3833995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3834286Z return mod(*inputs) 2025-09-07T08:38:59.3834626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3834961Z x = self.forward_features(x) 2025-09-07T08:38:59.3835330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3835702Z x = self.blocks(x) 2025-09-07T08:38:59.3836018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3836394Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3836789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3837128Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3837250Z 2025-09-07T08:38:59.3837332Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3837543Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3837761Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3837959Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3838162Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3838366Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3838553Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3838751Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3838967Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3839190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3839515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3839842Z return mod(*inputs) 2025-09-07T08:38:59.3840154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3840518Z x = self.forward_features(x) 2025-09-07T08:38:59.3840866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3841236Z x = self.blocks(x) 2025-09-07T08:38:59.3841548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3841941Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3842304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3842657Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3842793Z 2025-09-07T08:38:59.3842866Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3843063Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3843314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3843647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3843953Z return mod(*inputs) 2025-09-07T08:38:59.3844267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3844644Z x = self.forward_features(x) 2025-09-07T08:38:59.3845040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3845385Z x = self.blocks(x) 2025-09-07T08:38:59.3845706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3846069Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3846248Z 2025-09-07T08:38:59.3846331Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3846528Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3846717Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3846911Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3847127Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3847319Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3847506Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3847727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3848062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3848393Z return mod(*inputs) 2025-09-07T08:38:59.3848699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3849239Z x = self.forward_features(x) 2025-09-07T08:38:59.3849593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3849944Z x = self.blocks(x) 2025-09-07T08:38:59.3850255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3850645Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3851014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3851361Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3851487Z 2025-09-07T08:38:59.3851579Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3851765Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3851967Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3852164Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3852360Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3852545Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3852741Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3852938Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3853130Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3853345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3853682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3853991Z return mod(*inputs) 2025-09-07T08:38:59.3854329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3854667Z x = self.forward_features(x) 2025-09-07T08:38:59.3855005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3855351Z x = self.blocks(x) 2025-09-07T08:38:59.3855656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3856017Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3856375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3856698Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3856826Z 2025-09-07T08:38:59.3856898Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3857089Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3857345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3857713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3858021Z return mod(*inputs) 2025-09-07T08:38:59.3858329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3858665Z x = self.forward_features(x) 2025-09-07T08:38:59.3859003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3859352Z x = self.blocks(x) 2025-09-07T08:38:59.3859658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3860024Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3860173Z 2025-09-07T08:38:59.3860254Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3860445Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3860642Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3860842Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3861062Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3861276Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3861471Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3861694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3862027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3862320Z return mod(*inputs) 2025-09-07T08:38:59.3862627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3862958Z x = self.forward_features(x) 2025-09-07T08:38:59.3863303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3863651Z x = self.blocks(x) 2025-09-07T08:38:59.3863950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3864316Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3864676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3865012Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3865134Z 2025-09-07T08:38:59.3865213Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3865403Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3865597Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3865795Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3865985Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3866174Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3866366Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3866564Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3866756Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3866972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3867310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3867610Z return mod(*inputs) 2025-09-07T08:38:59.3867915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3868239Z x = self.forward_features(x) 2025-09-07T08:38:59.3868579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3868923Z x = self.blocks(x) 2025-09-07T08:38:59.3869224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3869582Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3869959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3870320Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3870451Z 2025-09-07T08:38:59.3870523Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3870716Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3870931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3871265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3871566Z return mod(*inputs) 2025-09-07T08:38:59.3871875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3872206Z x = self.forward_features(x) 2025-09-07T08:38:59.3872541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3872890Z x = self.blocks(x) 2025-09-07T08:38:59.3873201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3873578Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3873728Z 2025-09-07T08:38:59.3873801Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3874000Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3874193Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3874389Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3874598Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3874794Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3874993Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3875210Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3875544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3875840Z return mod(*inputs) 2025-09-07T08:38:59.3876150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3876484Z x = self.forward_features(x) 2025-09-07T08:38:59.3876825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3877160Z x = self.blocks(x) 2025-09-07T08:38:59.3877461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3877824Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3878181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3878515Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3878636Z 2025-09-07T08:38:59.3878710Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3878912Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3879106Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3879299Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3879488Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3879684Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3879874Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3880063Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3880245Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3880465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3880793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3881091Z return mod(*inputs) 2025-09-07T08:38:59.3881392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3881722Z x = self.forward_features(x) 2025-09-07T08:38:59.3882649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3882993Z x = self.blocks(x) 2025-09-07T08:38:59.3883332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3883683Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3884038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3884371Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3884493Z 2025-09-07T08:38:59.3884574Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3884765Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3884978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3885308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3885611Z return mod(*inputs) 2025-09-07T08:38:59.3885914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3886260Z x = self.forward_features(x) 2025-09-07T08:38:59.3886609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3886959Z x = self.blocks(x) 2025-09-07T08:38:59.3887265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3887622Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3887779Z 2025-09-07T08:38:59.3887851Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3888047Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3888248Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3888443Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3888632Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3888830Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3889027Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3889254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3889595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3889897Z return mod(*inputs) 2025-09-07T08:38:59.3890208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3890543Z x = self.forward_features(x) 2025-09-07T08:38:59.3890879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3891226Z x = self.blocks(x) 2025-09-07T08:38:59.3891532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3891898Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3892257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3892586Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3892717Z 2025-09-07T08:38:59.3892790Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3892986Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3893178Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3893364Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3893563Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3893755Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3893951Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3894134Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3894325Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3894545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3894891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3895194Z return mod(*inputs) 2025-09-07T08:38:59.3895525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3895857Z x = self.forward_features(x) 2025-09-07T08:38:59.3896197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3896540Z x = self.blocks(x) 2025-09-07T08:38:59.3896835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3897195Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3897550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3897884Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3898009Z 2025-09-07T08:38:59.3898088Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3898276Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3898521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3898851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3899154Z return mod(*inputs) 2025-09-07T08:38:59.3899452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3899783Z x = self.forward_features(x) 2025-09-07T08:38:59.3900128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3900472Z x = self.blocks(x) 2025-09-07T08:38:59.3900820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3901178Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3901338Z 2025-09-07T08:38:59.3901413Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3901610Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3901833Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3902027Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3902213Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3902409Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3902606Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3902829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3903158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3903466Z return mod(*inputs) 2025-09-07T08:38:59.3903778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3904113Z x = self.forward_features(x) 2025-09-07T08:38:59.3904463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3904802Z x = self.blocks(x) 2025-09-07T08:38:59.3905108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3905474Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3905831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3906161Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3906284Z 2025-09-07T08:38:59.3906357Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3906555Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3906749Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3906943Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3907126Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3907337Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3907533Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3907757Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3907948Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3908168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3908499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3908796Z return mod(*inputs) 2025-09-07T08:38:59.3909094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3909427Z x = self.forward_features(x) 2025-09-07T08:38:59.3909773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3910115Z x = self.blocks(x) 2025-09-07T08:38:59.3910418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3910776Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3911172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:38:59.3911505Z x = F.scaled_dot_product_attention( 2025-09-07T08:38:59.3911629Z 2025-09-07T08:38:59.3911707Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3911892Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3912112Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3912444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3912744Z return mod(*inputs) 2025-09-07T08:38:59.3913051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:38:59.3913376Z x = self.forward_features(x) 2025-09-07T08:38:59.3913720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:38:59.3914064Z x = self.blocks(x) 2025-09-07T08:38:59.3914377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:38:59.3914729Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:38:59.3914885Z 2025-09-07T08:38:59.3914958Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3915151Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3915348Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3915542Z cudagraph partition due to non gpu ops 2025-09-07T08:38:59.3915751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3916087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3916387Z return mod(*inputs) 2025-09-07T08:38:59.3916695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 850, in forward 2025-09-07T08:38:59.3917019Z x = self.forward_head(x) 2025-09-07T08:38:59.3917329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/deit.py", line 113, in forward_head 2025-09-07T08:38:59.3917642Z x_dist = self.head_dist(x_dist) 2025-09-07T08:38:59.3917758Z 2025-09-07T08:38:59.3917863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3918193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3918486Z return mod(*inputs) 2025-09-07T08:38:59.3918790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 850, in forward 2025-09-07T08:38:59.3919116Z x = self.forward_head(x) 2025-09-07T08:38:59.3919415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/deit.py", line 113, in forward_head 2025-09-07T08:38:59.3919735Z x_dist = self.head_dist(x_dist) 2025-09-07T08:38:59.3919859Z 2025-09-07T08:38:59.3919955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3920313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3920618Z return mod(*inputs) 2025-09-07T08:38:59.3920931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 850, in forward 2025-09-07T08:38:59.3921259Z x = self.forward_head(x) 2025-09-07T08:38:59.3921564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/deit.py", line 113, in forward_head 2025-09-07T08:38:59.3921881Z x_dist = self.head_dist(x_dist) 2025-09-07T08:38:59.3921997Z 2025-09-07T08:38:59.3922103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3922432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3922737Z return mod(*inputs) 2025-09-07T08:38:59.3923050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 850, in forward 2025-09-07T08:38:59.3923388Z x = self.forward_head(x) 2025-09-07T08:38:59.3923702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/deit.py", line 112, in forward_head 2025-09-07T08:38:59.3923997Z x = self.head(x) 2025-09-07T08:38:59.3924099Z 2025-09-07T08:38:59.3924195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3924526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3924828Z return mod(*inputs) 2025-09-07T08:38:59.3925132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 850, in forward 2025-09-07T08:38:59.3925463Z x = self.forward_head(x) 2025-09-07T08:38:59.3925762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/deit.py", line 119, in forward_head 2025-09-07T08:38:59.3926074Z return (x + x_dist) / 2 2025-09-07T08:38:59.3926179Z 2025-09-07T08:38:59.3926282Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:38:59.3926616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:38:59.3926919Z return mod(*inputs) 2025-09-07T08:38:59.3927231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 850, in forward 2025-09-07T08:38:59.3927562Z x = self.forward_head(x) 2025-09-07T08:38:59.3927851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/deit.py", line 119, in forward_head 2025-09-07T08:38:59.3928159Z return (x + x_dist) / 2 2025-09-07T08:38:59.3928269Z 2025-09-07T08:38:59.3928347Z cudagraph partition due to non gpu ops 2025-09-07T08:39:14.3706587Z pass 2025-09-07T08:39:14.3706996Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:39:16.5116260Z /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. 2025-09-07T08:39:16.5117229Z import pynvml # type: ignore[import] 2025-09-07T08:39:18.6867930Z 2025-09-07T08:39:19.3168111Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:19.3168436Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:19.3168685Z cpu eval dla102 2025-09-07T08:39:20.0561198Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:39:20.1794985Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:39:20.3007116Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:39:37.0238897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0239333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0240051Z return mod(*inputs) 2025-09-07T08:39:37.0240372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0240688Z x = self.forward_features(x) 2025-09-07T08:39:37.0241017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 363, in forward_features 2025-09-07T08:39:37.0241345Z x = self.base_layer(x) 2025-09-07T08:39:37.0241461Z 2025-09-07T08:39:37.0241565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0241916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0242224Z return mod(*inputs) 2025-09-07T08:39:37.0242524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0242829Z x = self.forward_features(x) 2025-09-07T08:39:37.0243147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 363, in forward_features 2025-09-07T08:39:37.0243526Z x = self.base_layer(x) 2025-09-07T08:39:37.0243640Z 2025-09-07T08:39:37.0243741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0244141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0244458Z return mod(*inputs) 2025-09-07T08:39:37.0244753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0245067Z x = self.forward_features(x) 2025-09-07T08:39:37.0245390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 363, in forward_features 2025-09-07T08:39:37.0245711Z x = self.base_layer(x) 2025-09-07T08:39:37.0245826Z 2025-09-07T08:39:37.0245931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0246277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0246590Z return mod(*inputs) 2025-09-07T08:39:37.0246863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0247164Z x = self.forward_features(x) 2025-09-07T08:39:37.0247482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 364, in forward_features 2025-09-07T08:39:37.0247806Z x = self.level0(x) 2025-09-07T08:39:37.0247904Z 2025-09-07T08:39:37.0248012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0248344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0248671Z return mod(*inputs) 2025-09-07T08:39:37.0249034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0249332Z x = self.forward_features(x) 2025-09-07T08:39:37.0249636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 364, in forward_features 2025-09-07T08:39:37.0249954Z x = self.level0(x) 2025-09-07T08:39:37.0250056Z 2025-09-07T08:39:37.0250153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0250483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0250787Z return mod(*inputs) 2025-09-07T08:39:37.0251048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0251346Z x = self.forward_features(x) 2025-09-07T08:39:37.0251654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 365, in forward_features 2025-09-07T08:39:37.0251974Z x = self.level1(x) 2025-09-07T08:39:37.0252069Z 2025-09-07T08:39:37.0252175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0252562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0252860Z return mod(*inputs) 2025-09-07T08:39:37.0253207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0253517Z x = self.forward_features(x) 2025-09-07T08:39:37.0253827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 365, in forward_features 2025-09-07T08:39:37.0254153Z x = self.level1(x) 2025-09-07T08:39:37.0254259Z 2025-09-07T08:39:37.0254358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0254704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0255009Z return mod(*inputs) 2025-09-07T08:39:37.0255281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0255590Z x = self.forward_features(x) 2025-09-07T08:39:37.0255910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0256252Z x = self.level2(x) 2025-09-07T08:39:37.0256513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0256815Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0257096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0257415Z out = self.relu(out) 2025-09-07T08:39:37.0257517Z 2025-09-07T08:39:37.0257619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0257948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0258249Z return mod(*inputs) 2025-09-07T08:39:37.0258522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0258819Z x = self.forward_features(x) 2025-09-07T08:39:37.0259119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0259430Z x = self.level2(x) 2025-09-07T08:39:37.0259701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0259998Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0260270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0260561Z out = self.relu(out) 2025-09-07T08:39:37.0260666Z 2025-09-07T08:39:37.0260762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0261096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0261405Z return mod(*inputs) 2025-09-07T08:39:37.0261669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0261965Z x = self.forward_features(x) 2025-09-07T08:39:37.0262282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0262601Z x = self.level2(x) 2025-09-07T08:39:37.0262860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0263164Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0263445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0263739Z out = self.relu(out) 2025-09-07T08:39:37.0263839Z 2025-09-07T08:39:37.0263943Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0264270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0264582Z return mod(*inputs) 2025-09-07T08:39:37.0264848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0265169Z x = self.forward_features(x) 2025-09-07T08:39:37.0265525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0265841Z x = self.level2(x) 2025-09-07T08:39:37.0266103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0266394Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0266682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0266961Z out = self.relu(out) 2025-09-07T08:39:37.0267066Z 2025-09-07T08:39:37.0267163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0267501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0267802Z return mod(*inputs) 2025-09-07T08:39:37.0268065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0268362Z x = self.forward_features(x) 2025-09-07T08:39:37.0268666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0268992Z x = self.level2(x) 2025-09-07T08:39:37.0269254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0269535Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0269810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0270092Z out = self.relu(out) 2025-09-07T08:39:37.0270191Z 2025-09-07T08:39:37.0270301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0270620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0270921Z return mod(*inputs) 2025-09-07T08:39:37.0271188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0271477Z x = self.forward_features(x) 2025-09-07T08:39:37.0271792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0272097Z x = self.level2(x) 2025-09-07T08:39:37.0272361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0272646Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0272924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0273205Z out = self.relu(out) 2025-09-07T08:39:37.0273315Z 2025-09-07T08:39:37.0273411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0273748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0274059Z return mod(*inputs) 2025-09-07T08:39:37.0274330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0274618Z x = self.forward_features(x) 2025-09-07T08:39:37.0274929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0275239Z x = self.level2(x) 2025-09-07T08:39:37.0275526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 247, in forward 2025-09-07T08:39:37.0275813Z bottom = self.downsample(x) 2025-09-07T08:39:37.0275932Z 2025-09-07T08:39:37.0276011Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0276238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0276571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0276874Z return mod(*inputs) 2025-09-07T08:39:37.0277147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0277457Z x = self.forward_features(x) 2025-09-07T08:39:37.0277794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0278115Z x = self.level2(x) 2025-09-07T08:39:37.0278372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0278660Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0278931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0279221Z out = self.relu(out) 2025-09-07T08:39:37.0279321Z 2025-09-07T08:39:37.0279425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0279753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0280053Z return mod(*inputs) 2025-09-07T08:39:37.0280319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0280609Z x = self.forward_features(x) 2025-09-07T08:39:37.0280908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0281252Z x = self.level2(x) 2025-09-07T08:39:37.0281512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0281802Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0282059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0282338Z out = self.relu(out) 2025-09-07T08:39:37.0282440Z 2025-09-07T08:39:37.0282536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0282867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0283165Z return mod(*inputs) 2025-09-07T08:39:37.0283423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0283715Z x = self.forward_features(x) 2025-09-07T08:39:37.0284020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0284327Z x = self.level2(x) 2025-09-07T08:39:37.0284588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0284864Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0285127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0285417Z out = self.relu(out) 2025-09-07T08:39:37.0285516Z 2025-09-07T08:39:37.0285623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0285945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0286245Z return mod(*inputs) 2025-09-07T08:39:37.0286512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0286808Z x = self.forward_features(x) 2025-09-07T08:39:37.0287103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0287411Z x = self.level2(x) 2025-09-07T08:39:37.0287682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0287966Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0288225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0288503Z out = self.relu(out) 2025-09-07T08:39:37.0288610Z 2025-09-07T08:39:37.0288704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0289031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0289330Z return mod(*inputs) 2025-09-07T08:39:37.0289606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0289898Z x = self.forward_features(x) 2025-09-07T08:39:37.0291696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0292029Z x = self.level2(x) 2025-09-07T08:39:37.0292297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0292590Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0292886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0293175Z x = self.relu(x) 2025-09-07T08:39:37.0293270Z 2025-09-07T08:39:37.0293374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0293699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0294002Z return mod(*inputs) 2025-09-07T08:39:37.0294273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0294574Z x = self.forward_features(x) 2025-09-07T08:39:37.0294903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0295205Z x = self.level2(x) 2025-09-07T08:39:37.0295477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0295777Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0296072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0296349Z x = self.relu(x) 2025-09-07T08:39:37.0296450Z 2025-09-07T08:39:37.0296525Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0296726Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0296951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0297284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0297588Z return mod(*inputs) 2025-09-07T08:39:37.0297864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0298160Z x = self.forward_features(x) 2025-09-07T08:39:37.0298470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 366, in forward_features 2025-09-07T08:39:37.0298778Z x = self.level2(x) 2025-09-07T08:39:37.0299046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0299340Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0299632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0299928Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0300069Z 2025-09-07T08:39:37.0300144Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0300371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0300714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0301019Z return mod(*inputs) 2025-09-07T08:39:37.0301281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0301576Z x = self.forward_features(x) 2025-09-07T08:39:37.0301886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0302196Z x = self.level3(x) 2025-09-07T08:39:37.0302455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0302750Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0303034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0303342Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0303621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0303939Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0304223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0304514Z out = self.relu(out) 2025-09-07T08:39:37.0304613Z 2025-09-07T08:39:37.0304716Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0305044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0305347Z return mod(*inputs) 2025-09-07T08:39:37.0305618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0305913Z x = self.forward_features(x) 2025-09-07T08:39:37.0306209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0306527Z x = self.level3(x) 2025-09-07T08:39:37.0306795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0307104Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0307378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0307658Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0307938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0308226Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0308502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0308780Z out = self.relu(out) 2025-09-07T08:39:37.0308886Z 2025-09-07T08:39:37.0308983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0309319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0309618Z return mod(*inputs) 2025-09-07T08:39:37.0309886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0310174Z x = self.forward_features(x) 2025-09-07T08:39:37.0310475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0310785Z x = self.level3(x) 2025-09-07T08:39:37.0311049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0311332Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0311611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0311898Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0312173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0312463Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0312731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0313019Z out = self.relu(out) 2025-09-07T08:39:37.0313543Z 2025-09-07T08:39:37.0313642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0313977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0314276Z return mod(*inputs) 2025-09-07T08:39:37.0314549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0314839Z x = self.forward_features(x) 2025-09-07T08:39:37.0315144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0315452Z x = self.level3(x) 2025-09-07T08:39:37.0315710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0316020Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0316299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0316624Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0316897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0317185Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0317462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0317748Z out = self.relu(out) 2025-09-07T08:39:37.0317846Z 2025-09-07T08:39:37.0317951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0318278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0318575Z return mod(*inputs) 2025-09-07T08:39:37.0318847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0319140Z x = self.forward_features(x) 2025-09-07T08:39:37.0319441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0319767Z x = self.level3(x) 2025-09-07T08:39:37.0320032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0320319Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0320589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0320878Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0321155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0321440Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0321715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0321992Z out = self.relu(out) 2025-09-07T08:39:37.0322100Z 2025-09-07T08:39:37.0322196Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0322528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0322829Z return mod(*inputs) 2025-09-07T08:39:37.0323087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0323377Z x = self.forward_features(x) 2025-09-07T08:39:37.0323682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0323991Z x = self.level3(x) 2025-09-07T08:39:37.0324252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0324528Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0324803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0325090Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0325369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0325655Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0325933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0326220Z out = self.relu(out) 2025-09-07T08:39:37.0326319Z 2025-09-07T08:39:37.0326421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0326751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0327041Z return mod(*inputs) 2025-09-07T08:39:37.0327316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0327607Z x = self.forward_features(x) 2025-09-07T08:39:37.0327911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0328236Z x = self.level3(x) 2025-09-07T08:39:37.0328509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 247, in forward 2025-09-07T08:39:37.0328851Z bottom = self.downsample(x) 2025-09-07T08:39:37.0328966Z 2025-09-07T08:39:37.0329050Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0329279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0329608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0329914Z return mod(*inputs) 2025-09-07T08:39:37.0330189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0330486Z x = self.forward_features(x) 2025-09-07T08:39:37.0330793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0331110Z x = self.level3(x) 2025-09-07T08:39:37.0331382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0331681Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0331979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0332277Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0332566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0332857Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0333130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0333412Z out = self.relu(out) 2025-09-07T08:39:37.0333522Z 2025-09-07T08:39:37.0333622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0333958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0334263Z return mod(*inputs) 2025-09-07T08:39:37.0334531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0334831Z x = self.forward_features(x) 2025-09-07T08:39:37.0335150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0335465Z x = self.level3(x) 2025-09-07T08:39:37.0335734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0336023Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0336312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0336607Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0336895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0337179Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0337453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0337748Z out = self.relu(out) 2025-09-07T08:39:37.0337849Z 2025-09-07T08:39:37.0337961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0338307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0338607Z return mod(*inputs) 2025-09-07T08:39:37.0338884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0339219Z x = self.forward_features(x) 2025-09-07T08:39:37.0339531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0339838Z x = self.level3(x) 2025-09-07T08:39:37.0340111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0340400Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0340682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0340986Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0341303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0341589Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0341854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0342137Z out = self.relu(out) 2025-09-07T08:39:37.0342236Z 2025-09-07T08:39:37.0342333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0342663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0342966Z return mod(*inputs) 2025-09-07T08:39:37.0343231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0343515Z x = self.forward_features(x) 2025-09-07T08:39:37.0343827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0344143Z x = self.level3(x) 2025-09-07T08:39:37.0344411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0344722Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0344996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0345283Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0345561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0345845Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0346101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0346391Z out = self.relu(out) 2025-09-07T08:39:37.0346497Z 2025-09-07T08:39:37.0346593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0346927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0347224Z return mod(*inputs) 2025-09-07T08:39:37.0347487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0347776Z x = self.forward_features(x) 2025-09-07T08:39:37.0348076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0348383Z x = self.level3(x) 2025-09-07T08:39:37.0348642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0348983Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0349264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0349555Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0349830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0350131Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0350433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0350725Z x = self.relu(x) 2025-09-07T08:39:37.0350817Z 2025-09-07T08:39:37.0350923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0351249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0351554Z return mod(*inputs) 2025-09-07T08:39:37.0351825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0352121Z x = self.forward_features(x) 2025-09-07T08:39:37.0352423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0352743Z x = self.level3(x) 2025-09-07T08:39:37.0353012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0353342Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0353675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0353962Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0354243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0354544Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0354850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0355132Z x = self.relu(x) 2025-09-07T08:39:37.0355237Z 2025-09-07T08:39:37.0355314Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0355516Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0355737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0356063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0356362Z return mod(*inputs) 2025-09-07T08:39:37.0356634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0356951Z x = self.forward_features(x) 2025-09-07T08:39:37.0357263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0357565Z x = self.level3(x) 2025-09-07T08:39:37.0357831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0358119Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0358399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0358679Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0358960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0359253Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0359546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0359852Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0359980Z 2025-09-07T08:39:37.0360055Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0360279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0360609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0360909Z return mod(*inputs) 2025-09-07T08:39:37.0361164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0361457Z x = self.forward_features(x) 2025-09-07T08:39:37.0361759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0362068Z x = self.level3(x) 2025-09-07T08:39:37.0362329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0362607Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0362886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0363180Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0363469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0363747Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0364028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0364314Z out = self.relu(out) 2025-09-07T08:39:37.0364416Z 2025-09-07T08:39:37.0364519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0364852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0365143Z return mod(*inputs) 2025-09-07T08:39:37.0365435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0365762Z x = self.forward_features(x) 2025-09-07T08:39:37.0366072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0366373Z x = self.level3(x) 2025-09-07T08:39:37.0366637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0366928Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0367209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0367499Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0367789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0368077Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0368354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0368641Z out = self.relu(out) 2025-09-07T08:39:37.0368741Z 2025-09-07T08:39:37.0368856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0369193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0369494Z return mod(*inputs) 2025-09-07T08:39:37.0369763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0370047Z x = self.forward_features(x) 2025-09-07T08:39:37.0370353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0370663Z x = self.level3(x) 2025-09-07T08:39:37.0370928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0371215Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0371486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0371776Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0372069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0372359Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0372628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0372918Z out = self.relu(out) 2025-09-07T08:39:37.0373025Z 2025-09-07T08:39:37.0373121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0373453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0373750Z return mod(*inputs) 2025-09-07T08:39:37.0374009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0374297Z x = self.forward_features(x) 2025-09-07T08:39:37.0374604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0374912Z x = self.level3(x) 2025-09-07T08:39:37.0375174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0375462Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0375740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0376030Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0376313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0376603Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0376881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0377169Z out = self.relu(out) 2025-09-07T08:39:37.0377268Z 2025-09-07T08:39:37.0377386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0377710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0378053Z return mod(*inputs) 2025-09-07T08:39:37.0378329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0378627Z x = self.forward_features(x) 2025-09-07T08:39:37.0378934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0379249Z x = self.level3(x) 2025-09-07T08:39:37.0379524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0379816Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0380099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0380387Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0380687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0380981Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0381279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0381559Z out = self.relu(out) 2025-09-07T08:39:37.0381665Z 2025-09-07T08:39:37.0381759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0382091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0382390Z return mod(*inputs) 2025-09-07T08:39:37.0382662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0382948Z x = self.forward_features(x) 2025-09-07T08:39:37.0383257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0383571Z x = self.level3(x) 2025-09-07T08:39:37.0383841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0384118Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0384398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0384694Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0384980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0385268Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0385537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0385824Z out = self.relu(out) 2025-09-07T08:39:37.0385923Z 2025-09-07T08:39:37.0386025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0386355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0386649Z return mod(*inputs) 2025-09-07T08:39:37.0386915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0387209Z x = self.forward_features(x) 2025-09-07T08:39:37.0387511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0387811Z x = self.level3(x) 2025-09-07T08:39:37.0388073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0388363Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0388640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0388939Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0389224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0389509Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0389801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0390095Z out = self.relu(out) 2025-09-07T08:39:37.0390194Z 2025-09-07T08:39:37.0390322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0390656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0390958Z return mod(*inputs) 2025-09-07T08:39:37.0391225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0391519Z x = self.forward_features(x) 2025-09-07T08:39:37.0391818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0392128Z x = self.level3(x) 2025-09-07T08:39:37.0392395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0392685Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0392962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0393262Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0393570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0393861Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0394127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0394405Z out = self.relu(out) 2025-09-07T08:39:37.0394513Z 2025-09-07T08:39:37.0394611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0394945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0395248Z return mod(*inputs) 2025-09-07T08:39:37.0395505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0395797Z x = self.forward_features(x) 2025-09-07T08:39:37.0396108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0396422Z x = self.level3(x) 2025-09-07T08:39:37.0396680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0396970Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0397251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0397547Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0397841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0398118Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0398383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0398667Z out = self.relu(out) 2025-09-07T08:39:37.0398765Z 2025-09-07T08:39:37.0398871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0399195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0399498Z return mod(*inputs) 2025-09-07T08:39:37.0399764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0400055Z x = self.forward_features(x) 2025-09-07T08:39:37.0400362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0400662Z x = self.level3(x) 2025-09-07T08:39:37.0400924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0401216Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0401489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0401776Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0402092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0402376Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0402665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0402952Z out = self.relu(out) 2025-09-07T08:39:37.0403051Z 2025-09-07T08:39:37.0403149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0403485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0403785Z return mod(*inputs) 2025-09-07T08:39:37.0404053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0404338Z x = self.forward_features(x) 2025-09-07T08:39:37.0404647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0404960Z x = self.level3(x) 2025-09-07T08:39:37.0405228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0405524Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0405821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0406124Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0406421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0406713Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0406997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0407284Z x = self.relu(x) 2025-09-07T08:39:37.0407384Z 2025-09-07T08:39:37.0407482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0407816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0408122Z return mod(*inputs) 2025-09-07T08:39:37.0408385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0408683Z x = self.forward_features(x) 2025-09-07T08:39:37.0408995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0409303Z x = self.level3(x) 2025-09-07T08:39:37.0409562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0409853Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0410136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0410429Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0410711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0411006Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0411297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0411582Z x = self.relu(x) 2025-09-07T08:39:37.0411676Z 2025-09-07T08:39:37.0411759Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0411951Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0412144Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0412365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0412697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0412991Z return mod(*inputs) 2025-09-07T08:39:37.0413258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0413552Z x = self.forward_features(x) 2025-09-07T08:39:37.0413861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0414179Z x = self.level3(x) 2025-09-07T08:39:37.0414445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0414767Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0415052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0415343Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0415628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0415919Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0416208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0416509Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0416638Z 2025-09-07T08:39:37.0416710Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0416932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0417269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0417572Z return mod(*inputs) 2025-09-07T08:39:37.0417845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0418150Z x = self.forward_features(x) 2025-09-07T08:39:37.0418462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0418776Z x = self.level3(x) 2025-09-07T08:39:37.0419040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0419323Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0419612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0419906Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0420186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0420478Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0420754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0421047Z out = self.relu(out) 2025-09-07T08:39:37.0421147Z 2025-09-07T08:39:37.0421250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0421584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0421877Z return mod(*inputs) 2025-09-07T08:39:37.0422149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0422438Z x = self.forward_features(x) 2025-09-07T08:39:37.0422744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0423056Z x = self.level3(x) 2025-09-07T08:39:37.0423318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0423613Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0423904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0424198Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0424470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0424754Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0425033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0425318Z out = self.relu(out) 2025-09-07T08:39:37.0425417Z 2025-09-07T08:39:37.0425513Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0425844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0426140Z return mod(*inputs) 2025-09-07T08:39:37.0426409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0426728Z x = self.forward_features(x) 2025-09-07T08:39:37.0427057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0427370Z x = self.level3(x) 2025-09-07T08:39:37.0427639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0427931Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0428212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0428501Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0428781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0429072Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0429349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0429635Z out = self.relu(out) 2025-09-07T08:39:37.0429741Z 2025-09-07T08:39:37.0429838Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0430191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0430494Z return mod(*inputs) 2025-09-07T08:39:37.0430756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0431053Z x = self.forward_features(x) 2025-09-07T08:39:37.0431363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0431675Z x = self.level3(x) 2025-09-07T08:39:37.0431941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0432229Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0432522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0432812Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0433093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0433373Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0433654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0433943Z out = self.relu(out) 2025-09-07T08:39:37.0434041Z 2025-09-07T08:39:37.0434147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0434484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0434775Z return mod(*inputs) 2025-09-07T08:39:37.0435046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0435342Z x = self.forward_features(x) 2025-09-07T08:39:37.0435650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0435956Z x = self.level3(x) 2025-09-07T08:39:37.0436226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0436524Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0436812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0437089Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0437368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0437656Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0437933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0438220Z out = self.relu(out) 2025-09-07T08:39:37.0438319Z 2025-09-07T08:39:37.0438415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0438764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0439060Z return mod(*inputs) 2025-09-07T08:39:37.0439360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0439649Z x = self.forward_features(x) 2025-09-07T08:39:37.0439959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0440270Z x = self.level3(x) 2025-09-07T08:39:37.0440534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0440824Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0441108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0441400Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0441677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0441968Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0442240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0442547Z out = self.relu(out) 2025-09-07T08:39:37.0442652Z 2025-09-07T08:39:37.0442749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0443087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0443389Z return mod(*inputs) 2025-09-07T08:39:37.0443651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0443949Z x = self.forward_features(x) 2025-09-07T08:39:37.0444253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0444564Z x = self.level3(x) 2025-09-07T08:39:37.0444818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0445118Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0445413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0445705Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0445977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0446267Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0446530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0446817Z out = self.relu(out) 2025-09-07T08:39:37.0446915Z 2025-09-07T08:39:37.0447020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0447345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0447642Z return mod(*inputs) 2025-09-07T08:39:37.0447917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0448210Z x = self.forward_features(x) 2025-09-07T08:39:37.0448510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0448864Z x = self.level3(x) 2025-09-07T08:39:37.0449130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0449428Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0449721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0450002Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0450281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0450564Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0450831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0451153Z out = self.relu(out) 2025-09-07T08:39:37.0451263Z 2025-09-07T08:39:37.0451408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0451744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0452040Z return mod(*inputs) 2025-09-07T08:39:37.0452315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0452597Z x = self.forward_features(x) 2025-09-07T08:39:37.0452902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0453212Z x = self.level3(x) 2025-09-07T08:39:37.0453476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0453761Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0454052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0454348Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0454629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0454937Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0455198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0455486Z out = self.relu(out) 2025-09-07T08:39:37.0455586Z 2025-09-07T08:39:37.0455690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0456023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0456316Z return mod(*inputs) 2025-09-07T08:39:37.0456583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0456874Z x = self.forward_features(x) 2025-09-07T08:39:37.0457184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0457493Z x = self.level3(x) 2025-09-07T08:39:37.0457767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0458063Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0458354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0458646Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0458917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0459202Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0459468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0459757Z out = self.relu(out) 2025-09-07T08:39:37.0459854Z 2025-09-07T08:39:37.0459952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0460283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0460583Z return mod(*inputs) 2025-09-07T08:39:37.0460856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0461152Z x = self.forward_features(x) 2025-09-07T08:39:37.0461452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0461763Z x = self.level3(x) 2025-09-07T08:39:37.0462029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0462324Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0462605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0462897Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0463171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0463484Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0463819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0464097Z x = self.relu(x) 2025-09-07T08:39:37.0464195Z 2025-09-07T08:39:37.0464292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0464626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0464925Z return mod(*inputs) 2025-09-07T08:39:37.0465189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0465479Z x = self.forward_features(x) 2025-09-07T08:39:37.0465783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0466089Z x = self.level3(x) 2025-09-07T08:39:37.0466363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0466650Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0466942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0467256Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0467538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0467819Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0468109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0468390Z x = self.relu(x) 2025-09-07T08:39:37.0468483Z 2025-09-07T08:39:37.0468570Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0468764Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0468988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0469323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0469629Z return mod(*inputs) 2025-09-07T08:39:37.0469902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0470191Z x = self.forward_features(x) 2025-09-07T08:39:37.0470498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0470809Z x = self.level3(x) 2025-09-07T08:39:37.0471076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0471363Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0471656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0471948Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0472231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0472524Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0472809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0473112Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0473241Z 2025-09-07T08:39:37.0473324Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0473548Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0473874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0474177Z return mod(*inputs) 2025-09-07T08:39:37.0474445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0474741Z x = self.forward_features(x) 2025-09-07T08:39:37.0475045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0475353Z x = self.level3(x) 2025-09-07T08:39:37.0475635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0475928Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0476247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0476537Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0476825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0477114Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0477396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0477674Z out = self.relu(out) 2025-09-07T08:39:37.0477784Z 2025-09-07T08:39:37.0477881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0478214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0478517Z return mod(*inputs) 2025-09-07T08:39:37.0478784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0479093Z x = self.forward_features(x) 2025-09-07T08:39:37.0479400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0479709Z x = self.level3(x) 2025-09-07T08:39:37.0479975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0480263Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0480556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0480845Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0481138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0481427Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0481700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0481992Z out = self.relu(out) 2025-09-07T08:39:37.0482101Z 2025-09-07T08:39:37.0482203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0482541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0482834Z return mod(*inputs) 2025-09-07T08:39:37.0483102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0483395Z x = self.forward_features(x) 2025-09-07T08:39:37.0483707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0484016Z x = self.level3(x) 2025-09-07T08:39:37.0484269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0484561Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0484851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0485146Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0485428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0485718Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0486005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0486296Z out = self.relu(out) 2025-09-07T08:39:37.0486394Z 2025-09-07T08:39:37.0486497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0486823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0487122Z return mod(*inputs) 2025-09-07T08:39:37.0487390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0487701Z x = self.forward_features(x) 2025-09-07T08:39:37.0488000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0488345Z x = self.level3(x) 2025-09-07T08:39:37.0488612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0488904Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0489184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0489478Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0489766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0490054Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0490330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0490610Z out = self.relu(out) 2025-09-07T08:39:37.0490718Z 2025-09-07T08:39:37.0490815Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0491147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0491466Z return mod(*inputs) 2025-09-07T08:39:37.0491727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0492015Z x = self.forward_features(x) 2025-09-07T08:39:37.0492320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0492629Z x = self.level3(x) 2025-09-07T08:39:37.0492890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0493174Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0493461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0493751Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0494038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0494323Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0494603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0494888Z out = self.relu(out) 2025-09-07T08:39:37.0494986Z 2025-09-07T08:39:37.0495088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0495427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0495719Z return mod(*inputs) 2025-09-07T08:39:37.0495991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0496288Z x = self.forward_features(x) 2025-09-07T08:39:37.0496597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0496904Z x = self.level3(x) 2025-09-07T08:39:37.0497172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0497471Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0497760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0498054Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0498334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0498624Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0498905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0499189Z out = self.relu(out) 2025-09-07T08:39:37.0499290Z 2025-09-07T08:39:37.0499386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0499715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0500036Z return mod(*inputs) 2025-09-07T08:39:37.0500333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0500631Z x = self.forward_features(x) 2025-09-07T08:39:37.0500935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0501244Z x = self.level3(x) 2025-09-07T08:39:37.0501510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0501802Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0502083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0502377Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0502666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0502956Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0503211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0503513Z out = self.relu(out) 2025-09-07T08:39:37.0503620Z 2025-09-07T08:39:37.0503716Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0504044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0504341Z return mod(*inputs) 2025-09-07T08:39:37.0504597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0504890Z x = self.forward_features(x) 2025-09-07T08:39:37.0505192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0505496Z x = self.level3(x) 2025-09-07T08:39:37.0505752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0506045Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0506328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0506622Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0506907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0507182Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0507441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0507727Z out = self.relu(out) 2025-09-07T08:39:37.0507825Z 2025-09-07T08:39:37.0507929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0508252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0508550Z return mod(*inputs) 2025-09-07T08:39:37.0508818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0509113Z x = self.forward_features(x) 2025-09-07T08:39:37.0509423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0509728Z x = self.level3(x) 2025-09-07T08:39:37.0509991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0510283Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0510571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0510855Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0511144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0511427Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0511691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0511966Z out = self.relu(out) 2025-09-07T08:39:37.0512090Z 2025-09-07T08:39:37.0512190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0512560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0512861Z return mod(*inputs) 2025-09-07T08:39:37.0513131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0513417Z x = self.forward_features(x) 2025-09-07T08:39:37.0513728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0514042Z x = self.level3(x) 2025-09-07T08:39:37.0514303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0514584Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0514879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0515173Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0515468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0515769Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0516025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0516311Z out = self.relu(out) 2025-09-07T08:39:37.0516412Z 2025-09-07T08:39:37.0516511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0516845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0517137Z return mod(*inputs) 2025-09-07T08:39:37.0517405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0517693Z x = self.forward_features(x) 2025-09-07T08:39:37.0518005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0518318Z x = self.level3(x) 2025-09-07T08:39:37.0518577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0518873Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0519161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0519454Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0519737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0520030Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0520323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0520609Z x = self.relu(x) 2025-09-07T08:39:37.0520700Z 2025-09-07T08:39:37.0520806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0521131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0521435Z return mod(*inputs) 2025-09-07T08:39:37.0521708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0522001Z x = self.forward_features(x) 2025-09-07T08:39:37.0522304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0522619Z x = self.level3(x) 2025-09-07T08:39:37.0522888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0523184Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0523474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0523763Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0524047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0524367Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0524693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0524971Z x = self.relu(x) 2025-09-07T08:39:37.0525071Z 2025-09-07T08:39:37.0525145Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0525343Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0525542Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0525727Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0525921Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0526141Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0526474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0526777Z return mod(*inputs) 2025-09-07T08:39:37.0527035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0527328Z x = self.forward_features(x) 2025-09-07T08:39:37.0527637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 367, in forward_features 2025-09-07T08:39:37.0527968Z x = self.level3(x) 2025-09-07T08:39:37.0528224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0528518Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0528804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0529099Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0529376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0529664Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0529949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0530250Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0530380Z 2025-09-07T08:39:37.0530462Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0530678Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0531012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0531310Z return mod(*inputs) 2025-09-07T08:39:37.0531578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0531860Z x = self.forward_features(x) 2025-09-07T08:39:37.0532165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0532469Z x = self.level4(x) 2025-09-07T08:39:37.0532734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0533026Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0533299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0533589Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0533870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0534158Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0534333Z [Previous line repeated 1 more time] 2025-09-07T08:39:37.0534510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0534573Z out = self.relu(out) 2025-09-07T08:39:37.0534575Z 2025-09-07T08:39:37.0534680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0534860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0534923Z return mod(*inputs) 2025-09-07T08:39:37.0535104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0535186Z x = self.forward_features(x) 2025-09-07T08:39:37.0535393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0535482Z x = self.level4(x) 2025-09-07T08:39:37.0535648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0535721Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0535885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0535957Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0536121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0536183Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0536268Z [Previous line repeated 1 more time] 2025-09-07T08:39:37.0536436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0536511Z out = self.relu(out) 2025-09-07T08:39:37.0536514Z 2025-09-07T08:39:37.0536610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0536801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0536881Z return mod(*inputs) 2025-09-07T08:39:37.0537049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0537121Z x = self.forward_features(x) 2025-09-07T08:39:37.0537315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0537387Z x = self.level4(x) 2025-09-07T08:39:37.0537552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0537615Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0537788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0537853Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0538027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0538095Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0538167Z [Previous line repeated 1 more time] 2025-09-07T08:39:37.0538339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0538400Z out = self.relu(out) 2025-09-07T08:39:37.0538403Z 2025-09-07T08:39:37.0538506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0538687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0538750Z return mod(*inputs) 2025-09-07T08:39:37.0538923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0538990Z x = self.forward_features(x) 2025-09-07T08:39:37.0539189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0539251Z x = self.level4(x) 2025-09-07T08:39:37.0539421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0539496Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0539660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0539733Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0539898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0539960Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0540040Z [Previous line repeated 1 more time] 2025-09-07T08:39:37.0540206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0540274Z out = self.relu(out) 2025-09-07T08:39:37.0540277Z 2025-09-07T08:39:37.0540387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0540575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0540663Z return mod(*inputs) 2025-09-07T08:39:37.0540834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0540906Z x = self.forward_features(x) 2025-09-07T08:39:37.0541098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0541163Z x = self.level4(x) 2025-09-07T08:39:37.0541328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0541391Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0541568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0541632Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0541810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0541872Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0541962Z [Previous line repeated 1 more time] 2025-09-07T08:39:37.0542139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0542201Z out = self.relu(out) 2025-09-07T08:39:37.0542204Z 2025-09-07T08:39:37.0542305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0542489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0542551Z return mod(*inputs) 2025-09-07T08:39:37.0542729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0542792Z x = self.forward_features(x) 2025-09-07T08:39:37.0542993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0543056Z x = self.level4(x) 2025-09-07T08:39:37.0543230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0543303Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0543473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0543545Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0543714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0543776Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0543854Z [Previous line repeated 1 more time] 2025-09-07T08:39:37.0544021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0544094Z out = self.relu(out) 2025-09-07T08:39:37.0544097Z 2025-09-07T08:39:37.0544190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0544384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0544445Z return mod(*inputs) 2025-09-07T08:39:37.0544618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0544692Z x = self.forward_features(x) 2025-09-07T08:39:37.0544889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0544954Z x = self.level4(x) 2025-09-07T08:39:37.0545122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 247, in forward 2025-09-07T08:39:37.0545192Z bottom = self.downsample(x) 2025-09-07T08:39:37.0545195Z 2025-09-07T08:39:37.0545277Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0545373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0545562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0545637Z return mod(*inputs) 2025-09-07T08:39:37.0545907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0545985Z x = self.forward_features(x) 2025-09-07T08:39:37.0546175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0546245Z x = self.level4(x) 2025-09-07T08:39:37.0546412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0546475Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0546648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0546711Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0546886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0546950Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0547120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0547198Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0547382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0547454Z out = self.relu(out) 2025-09-07T08:39:37.0547457Z 2025-09-07T08:39:37.0547552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0547732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0547809Z return mod(*inputs) 2025-09-07T08:39:37.0547974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0548048Z x = self.forward_features(x) 2025-09-07T08:39:37.0548238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0548308Z x = self.level4(x) 2025-09-07T08:39:37.0548471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0548539Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0548713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0548776Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0548981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0549047Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0549212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0549286Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0549449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0549523Z out = self.relu(out) 2025-09-07T08:39:37.0549525Z 2025-09-07T08:39:37.0549624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0549805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0549879Z return mod(*inputs) 2025-09-07T08:39:37.0550046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0550122Z x = self.forward_features(x) 2025-09-07T08:39:37.0550314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0550376Z x = self.level4(x) 2025-09-07T08:39:37.0550552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0550616Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0550791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0550855Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0551060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0551131Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0551347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0551416Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0551581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0551643Z out = self.relu(out) 2025-09-07T08:39:37.0551653Z 2025-09-07T08:39:37.0551749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0551929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0551999Z return mod(*inputs) 2025-09-07T08:39:37.0552171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0552243Z x = self.forward_features(x) 2025-09-07T08:39:37.0552439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0552503Z x = self.level4(x) 2025-09-07T08:39:37.0552701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0552767Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0552938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0553002Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0553171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0553240Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0553408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0553472Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0553636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0553697Z out = self.relu(out) 2025-09-07T08:39:37.0553700Z 2025-09-07T08:39:37.0553805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0553985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0554050Z return mod(*inputs) 2025-09-07T08:39:37.0554218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0554282Z x = self.forward_features(x) 2025-09-07T08:39:37.0554481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0554540Z x = self.level4(x) 2025-09-07T08:39:37.0554715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0554778Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0554945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0555017Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0555185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0555257Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0555422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0555489Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0555664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0555723Z x = self.relu(x) 2025-09-07T08:39:37.0555726Z 2025-09-07T08:39:37.0555832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0556012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0556080Z return mod(*inputs) 2025-09-07T08:39:37.0556260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0556327Z x = self.forward_features(x) 2025-09-07T08:39:37.0556553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0556613Z x = self.level4(x) 2025-09-07T08:39:37.0556786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0556850Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0557013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0557086Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0557249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0557319Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0557492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0557562Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0557740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0557814Z x = self.relu(x) 2025-09-07T08:39:37.0557818Z 2025-09-07T08:39:37.0557900Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0557974Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0558070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0558258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0558319Z return mod(*inputs) 2025-09-07T08:39:37.0558494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0558559Z x = self.forward_features(x) 2025-09-07T08:39:37.0558752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0558822Z x = self.level4(x) 2025-09-07T08:39:37.0558989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0559063Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0559228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0559292Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0559463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0559525Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0559696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0559762Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0559935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0560013Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0560016Z 2025-09-07T08:39:37.0560091Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0560199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0560382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0560450Z return mod(*inputs) 2025-09-07T08:39:37.0560615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0560680Z x = self.forward_features(x) 2025-09-07T08:39:37.0560878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0560939Z x = self.level4(x) 2025-09-07T08:39:37.0561110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0561174Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0561340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0561432Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0561627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0561707Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0561876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0561940Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0562112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0562174Z out = self.relu(out) 2025-09-07T08:39:37.0562176Z 2025-09-07T08:39:37.0562276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0562455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0562515Z return mod(*inputs) 2025-09-07T08:39:37.0562692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0562757Z x = self.forward_features(x) 2025-09-07T08:39:37.0562975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0563034Z x = self.level4(x) 2025-09-07T08:39:37.0563199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0563270Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0563437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0563509Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0563674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0563750Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0563915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0563979Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0564154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0564219Z out = self.relu(out) 2025-09-07T08:39:37.0564222Z 2025-09-07T08:39:37.0564324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0564501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0564561Z return mod(*inputs) 2025-09-07T08:39:37.0564735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0564801Z x = self.forward_features(x) 2025-09-07T08:39:37.0565002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0565061Z x = self.level4(x) 2025-09-07T08:39:37.0565225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0565299Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0565467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0565539Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0565702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0565771Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0565947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0566010Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0566181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0566242Z out = self.relu(out) 2025-09-07T08:39:37.0566245Z 2025-09-07T08:39:37.0566338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0566554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0566615Z return mod(*inputs) 2025-09-07T08:39:37.0566820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0566887Z x = self.forward_features(x) 2025-09-07T08:39:37.0567092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0567150Z x = self.level4(x) 2025-09-07T08:39:37.0589848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0589999Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0590240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0590322Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0590504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0590602Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0590783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0590907Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0591093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0591162Z out = self.relu(out) 2025-09-07T08:39:37.0591167Z 2025-09-07T08:39:37.0591289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0591491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0591559Z return mod(*inputs) 2025-09-07T08:39:37.0591742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0591810Z x = self.forward_features(x) 2025-09-07T08:39:37.0592025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0592092Z x = self.level4(x) 2025-09-07T08:39:37.0592264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0592342Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0592511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0592585Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0592753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0592826Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0593003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0593068Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0593247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0593315Z out = self.relu(out) 2025-09-07T08:39:37.0593319Z 2025-09-07T08:39:37.0596899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0597123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0597191Z return mod(*inputs) 2025-09-07T08:39:37.0597382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0597453Z x = self.forward_features(x) 2025-09-07T08:39:37.0597656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0597728Z x = self.level4(x) 2025-09-07T08:39:37.0597901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0597974Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0598142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0598242Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0598487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0598561Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0598736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0598802Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0598969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0599040Z out = self.relu(out) 2025-09-07T08:39:37.0599044Z 2025-09-07T08:39:37.0599147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0599343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0599406Z return mod(*inputs) 2025-09-07T08:39:37.0599574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0599652Z x = self.forward_features(x) 2025-09-07T08:39:37.0599850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0599941Z x = self.level4(x) 2025-09-07T08:39:37.0600110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0600176Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0600355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0600418Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0600596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0600669Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0600836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0600909Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0601080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0601153Z out = self.relu(out) 2025-09-07T08:39:37.0601156Z 2025-09-07T08:39:37.0601255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0601446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0601516Z return mod(*inputs) 2025-09-07T08:39:37.0601684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0601756Z x = self.forward_features(x) 2025-09-07T08:39:37.0601953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0602020Z x = self.level4(x) 2025-09-07T08:39:37.0602187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0602255Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0602480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0602546Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0602722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0602792Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0602960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0603029Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0603199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0603267Z out = self.relu(out) 2025-09-07T08:39:37.0603269Z 2025-09-07T08:39:37.0603367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0603551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0603656Z return mod(*inputs) 2025-09-07T08:39:37.0603860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0603938Z x = self.forward_features(x) 2025-09-07T08:39:37.0604136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0604197Z x = self.level4(x) 2025-09-07T08:39:37.0604377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0604441Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0604614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0604678Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0604845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0604925Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0605098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0605186Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0605352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0605417Z out = self.relu(out) 2025-09-07T08:39:37.0605430Z 2025-09-07T08:39:37.0605526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0605710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0605783Z return mod(*inputs) 2025-09-07T08:39:37.0605952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0606026Z x = self.forward_features(x) 2025-09-07T08:39:37.0606220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0606285Z x = self.level4(x) 2025-09-07T08:39:37.0606462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0606527Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0606703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0606767Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0606936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0607014Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0607181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0607249Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0607413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0607474Z out = self.relu(out) 2025-09-07T08:39:37.0607479Z 2025-09-07T08:39:37.0607585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0607794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0607871Z return mod(*inputs) 2025-09-07T08:39:37.0608037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0608102Z x = self.forward_features(x) 2025-09-07T08:39:37.0608304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0608365Z x = self.level4(x) 2025-09-07T08:39:37.0608537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0608605Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0608769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0608857Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0609026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0609123Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0609292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0609360Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0609538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0609598Z x = self.relu(x) 2025-09-07T08:39:37.0609601Z 2025-09-07T08:39:37.0609707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0609891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0609958Z return mod(*inputs) 2025-09-07T08:39:37.0610125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0610194Z x = self.forward_features(x) 2025-09-07T08:39:37.0610400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0610478Z x = self.level4(x) 2025-09-07T08:39:37.0610655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0610718Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0610884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0610958Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0611122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0611200Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0611364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0611430Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0611605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0611670Z x = self.relu(x) 2025-09-07T08:39:37.0611673Z 2025-09-07T08:39:37.0611756Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0611830Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0611901Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0612007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0612187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0612258Z return mod(*inputs) 2025-09-07T08:39:37.0612423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0612489Z x = self.forward_features(x) 2025-09-07T08:39:37.0612690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0612751Z x = self.level4(x) 2025-09-07T08:39:37.0612943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0613012Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0613181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0613255Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0613422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0613499Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0613665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0613740Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0613908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0613986Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0614003Z 2025-09-07T08:39:37.0614089Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0614207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0614402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0614465Z return mod(*inputs) 2025-09-07T08:39:37.0614631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0614707Z x = self.forward_features(x) 2025-09-07T08:39:37.0614896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0614964Z x = self.level4(x) 2025-09-07T08:39:37.0615128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0615192Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0615365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0615436Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0615611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0615691Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0615862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0615939Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0616109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0616181Z out = self.relu(out) 2025-09-07T08:39:37.0616184Z 2025-09-07T08:39:37.0616281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0616464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0616539Z return mod(*inputs) 2025-09-07T08:39:37.0616712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0616787Z x = self.forward_features(x) 2025-09-07T08:39:37.0616988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0617060Z x = self.level4(x) 2025-09-07T08:39:37.0617231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0617297Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0617476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0617545Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0617726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0617791Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0617964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0618042Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0618229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0618304Z out = self.relu(out) 2025-09-07T08:39:37.0618307Z 2025-09-07T08:39:37.0618407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0618588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0618658Z return mod(*inputs) 2025-09-07T08:39:37.0618828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0618902Z x = self.forward_features(x) 2025-09-07T08:39:37.0619095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0619155Z x = self.level4(x) 2025-09-07T08:39:37.0619330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0619407Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0619597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0619669Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0619835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0619910Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0620079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0620151Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0620317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0620382Z out = self.relu(out) 2025-09-07T08:39:37.0620393Z 2025-09-07T08:39:37.0620489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0620672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0620741Z return mod(*inputs) 2025-09-07T08:39:37.0620927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0621002Z x = self.forward_features(x) 2025-09-07T08:39:37.0621191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0621251Z x = self.level4(x) 2025-09-07T08:39:37.0621425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0621490Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0621666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0621732Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0621898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0621968Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0622138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0622210Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0622374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0622436Z out = self.relu(out) 2025-09-07T08:39:37.0622438Z 2025-09-07T08:39:37.0622542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0622719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0622789Z return mod(*inputs) 2025-09-07T08:39:37.0622954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0623021Z x = self.forward_features(x) 2025-09-07T08:39:37.0623219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0623281Z x = self.level4(x) 2025-09-07T08:39:37.0623481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0623551Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0623718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0623794Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0623962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0624033Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0624201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0624263Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0624439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0624517Z out = self.relu(out) 2025-09-07T08:39:37.0624519Z 2025-09-07T08:39:37.0624627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0624823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0624896Z return mod(*inputs) 2025-09-07T08:39:37.0625063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0625129Z x = self.forward_features(x) 2025-09-07T08:39:37.0625332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0625394Z x = self.level4(x) 2025-09-07T08:39:37.0625567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0625631Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0625796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0625876Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0626045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0626131Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0626298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0626362Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0626536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0626600Z out = self.relu(out) 2025-09-07T08:39:37.0626603Z 2025-09-07T08:39:37.0626709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0626890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0626951Z return mod(*inputs) 2025-09-07T08:39:37.0627130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0627197Z x = self.forward_features(x) 2025-09-07T08:39:37.0627404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0627466Z x = self.level4(x) 2025-09-07T08:39:37.0627638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0627708Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0627875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0627949Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0628116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0628188Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0628353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0628414Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0628585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0628666Z out = self.relu(out) 2025-09-07T08:39:37.0628669Z 2025-09-07T08:39:37.0628767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0628961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0629023Z return mod(*inputs) 2025-09-07T08:39:37.0629189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0629263Z x = self.forward_features(x) 2025-09-07T08:39:37.0629453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0629523Z x = self.level4(x) 2025-09-07T08:39:37.0629688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0629766Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0629956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0630026Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0630199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0630264Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0630429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0630495Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0630662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0630732Z out = self.relu(out) 2025-09-07T08:39:37.0630735Z 2025-09-07T08:39:37.0630830Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0631008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0631079Z return mod(*inputs) 2025-09-07T08:39:37.0631248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0631335Z x = self.forward_features(x) 2025-09-07T08:39:37.0631532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0631591Z x = self.level4(x) 2025-09-07T08:39:37.0631767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0631829Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0632005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0632072Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0632250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0632317Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0632485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0632561Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0632728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0632801Z out = self.relu(out) 2025-09-07T08:39:37.0632805Z 2025-09-07T08:39:37.0632901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0633086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0633154Z return mod(*inputs) 2025-09-07T08:39:37.0633326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0633398Z x = self.forward_features(x) 2025-09-07T08:39:37.0633593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0633657Z x = self.level4(x) 2025-09-07T08:39:37.0633848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0633914Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0634091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0634159Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0634325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0634396Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0634563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0634632Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0634796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0634858Z out = self.relu(out) 2025-09-07T08:39:37.0634874Z 2025-09-07T08:39:37.0634981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0635175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0635245Z return mod(*inputs) 2025-09-07T08:39:37.0635412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0635478Z x = self.forward_features(x) 2025-09-07T08:39:37.0635678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0635738Z x = self.level4(x) 2025-09-07T08:39:37.0635912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0635975Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0636150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0636218Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0636383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0636475Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0636642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0636715Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0636881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0636938Z x = self.relu(x) 2025-09-07T08:39:37.0636941Z 2025-09-07T08:39:37.0637046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0637228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0637300Z return mod(*inputs) 2025-09-07T08:39:37.0637467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0637533Z x = self.forward_features(x) 2025-09-07T08:39:37.0637733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0637795Z x = self.level4(x) 2025-09-07T08:39:37.0637966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0638030Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0638196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0638271Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0638439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0638512Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0638678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0638745Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0638919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0638979Z x = self.relu(x) 2025-09-07T08:39:37.0638999Z 2025-09-07T08:39:37.0639082Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0639155Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0639250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0639437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0639497Z return mod(*inputs) 2025-09-07T08:39:37.0639672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0639738Z x = self.forward_features(x) 2025-09-07T08:39:37.0639935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0639995Z x = self.level4(x) 2025-09-07T08:39:37.0640177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0640246Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0640429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0640506Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0640673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0640736Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0640907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0640973Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0641148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0641226Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0641230Z 2025-09-07T08:39:37.0641305Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0641407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0641592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0641690Z return mod(*inputs) 2025-09-07T08:39:37.0641855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0641921Z x = self.forward_features(x) 2025-09-07T08:39:37.0642127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0642187Z x = self.level4(x) 2025-09-07T08:39:37.0642361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0642429Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0642594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0642675Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0642841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0642918Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0643085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0643152Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0643325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0643389Z out = self.relu(out) 2025-09-07T08:39:37.0643391Z 2025-09-07T08:39:37.0643498Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0643680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0643749Z return mod(*inputs) 2025-09-07T08:39:37.0643915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0643985Z x = self.forward_features(x) 2025-09-07T08:39:37.0644202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0644265Z x = self.level4(x) 2025-09-07T08:39:37.0644442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0644506Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0644673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0644749Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0644916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0644991Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0645156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0645219Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0645416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0645494Z out = self.relu(out) 2025-09-07T08:39:37.0645498Z 2025-09-07T08:39:37.0645603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0645784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0645845Z return mod(*inputs) 2025-09-07T08:39:37.0646018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0646083Z x = self.forward_features(x) 2025-09-07T08:39:37.0646283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0646342Z x = self.level4(x) 2025-09-07T08:39:37.0646505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0646577Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0646742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0646837Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0647004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0647080Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0647248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0647312Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0647486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0647550Z out = self.relu(out) 2025-09-07T08:39:37.0647552Z 2025-09-07T08:39:37.0647655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0647835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0647898Z return mod(*inputs) 2025-09-07T08:39:37.0648082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0648150Z x = self.forward_features(x) 2025-09-07T08:39:37.0648351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0648410Z x = self.level4(x) 2025-09-07T08:39:37.0648579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0648658Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0648891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0648972Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0649146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0649217Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0649399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0649510Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0649693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0649758Z out = self.relu(out) 2025-09-07T08:39:37.0649761Z 2025-09-07T08:39:37.0649860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0650053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0650116Z return mod(*inputs) 2025-09-07T08:39:37.0650291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0650358Z x = self.forward_features(x) 2025-09-07T08:39:37.0650563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0650653Z x = self.level4(x) 2025-09-07T08:39:37.0650827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0650928Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0651102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0651180Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0651355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0651425Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0651604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0651672Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0651849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0651912Z out = self.relu(out) 2025-09-07T08:39:37.0651917Z 2025-09-07T08:39:37.0652015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0652212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0652301Z return mod(*inputs) 2025-09-07T08:39:37.0652482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0652548Z x = self.forward_features(x) 2025-09-07T08:39:37.0652744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0652812Z x = self.level4(x) 2025-09-07T08:39:37.0652986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0653062Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0653233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0653304Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0653487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0653562Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0653750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0653813Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0653990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0654054Z out = self.relu(out) 2025-09-07T08:39:37.0654056Z 2025-09-07T08:39:37.0654153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0654347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0654410Z return mod(*inputs) 2025-09-07T08:39:37.0654590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0654657Z x = self.forward_features(x) 2025-09-07T08:39:37.0654881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0654953Z x = self.level4(x) 2025-09-07T08:39:37.0655125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0655198Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0655369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0655441Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0655624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0655693Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0655872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0655935Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0656128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0656205Z out = self.relu(out) 2025-09-07T08:39:37.0656225Z 2025-09-07T08:39:37.0656325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0656516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0656578Z return mod(*inputs) 2025-09-07T08:39:37.0656748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0656823Z x = self.forward_features(x) 2025-09-07T08:39:37.0657019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0657088Z x = self.level4(x) 2025-09-07T08:39:37.0657261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0657327Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0657507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0657594Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0657774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0657842Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0658021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0658088Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0658258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0658332Z out = self.relu(out) 2025-09-07T08:39:37.0658334Z 2025-09-07T08:39:37.0658431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0658625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0658693Z return mod(*inputs) 2025-09-07T08:39:37.0658866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0658944Z x = self.forward_features(x) 2025-09-07T08:39:37.0659142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0659213Z x = self.level4(x) 2025-09-07T08:39:37.0659382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0659448Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0659630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0659698Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0659877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0659947Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0660122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0660207Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0660380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0660457Z out = self.relu(out) 2025-09-07T08:39:37.0660459Z 2025-09-07T08:39:37.0660556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0660749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0660815Z return mod(*inputs) 2025-09-07T08:39:37.0660986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0661063Z x = self.forward_features(x) 2025-09-07T08:39:37.0661257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0661343Z x = self.level4(x) 2025-09-07T08:39:37.0661518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0661612Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0661795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0661866Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0662048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0662117Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0662286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0662355Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0662527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0662597Z out = self.relu(out) 2025-09-07T08:39:37.0662602Z 2025-09-07T08:39:37.0662699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0662892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0662983Z return mod(*inputs) 2025-09-07T08:39:37.0663155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0663229Z x = self.forward_features(x) 2025-09-07T08:39:37.0663429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0663492Z x = self.level4(x) 2025-09-07T08:39:37.0663672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0663737Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0663917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0663985Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0664168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0664242Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0664415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0664489Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0664661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0664731Z x = self.relu(x) 2025-09-07T08:39:37.0664734Z 2025-09-07T08:39:37.0664829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0665017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0665089Z return mod(*inputs) 2025-09-07T08:39:37.0665262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0665339Z x = self.forward_features(x) 2025-09-07T08:39:37.0665535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0665615Z x = self.level4(x) 2025-09-07T08:39:37.0665795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0665862Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0666044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0666113Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0666287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0666363Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0666536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0666611Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0666799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0666862Z x = self.relu(x) 2025-09-07T08:39:37.0666881Z 2025-09-07T08:39:37.0666963Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0667051Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0667126Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0667198Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0667307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0667493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0667567Z return mod(*inputs) 2025-09-07T08:39:37.0667740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0667812Z x = self.forward_features(x) 2025-09-07T08:39:37.0668009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0668073Z x = self.level4(x) 2025-09-07T08:39:37.0668256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0668340Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0668519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0668589Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0668763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0668840Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0669012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0669088Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0669262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0669342Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0669346Z 2025-09-07T08:39:37.0669427Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0669530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0669725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0669788Z return mod(*inputs) 2025-09-07T08:39:37.0669959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0670034Z x = self.forward_features(x) 2025-09-07T08:39:37.0670228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0670297Z x = self.level4(x) 2025-09-07T08:39:37.0670465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0670533Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0670710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0670777Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0670971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0671037Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0671207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0671278Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0671449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0671519Z out = self.relu(out) 2025-09-07T08:39:37.0671521Z 2025-09-07T08:39:37.0671628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0671815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0671875Z return mod(*inputs) 2025-09-07T08:39:37.0672056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0672147Z x = self.forward_features(x) 2025-09-07T08:39:37.0672342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0672408Z x = self.level4(x) 2025-09-07T08:39:37.0672573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0672639Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0672808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0672873Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0673043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0673107Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0673271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0673345Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0673514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0673597Z out = self.relu(out) 2025-09-07T08:39:37.0673600Z 2025-09-07T08:39:37.0673694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0673872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0673939Z return mod(*inputs) 2025-09-07T08:39:37.0674106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0674179Z x = self.forward_features(x) 2025-09-07T08:39:37.0674367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0674428Z x = self.level4(x) 2025-09-07T08:39:37.0674605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0674673Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0674853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0674917Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0675088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0675150Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0675316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0675385Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0675549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0675616Z out = self.relu(out) 2025-09-07T08:39:37.0675619Z 2025-09-07T08:39:37.0675713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0675893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0675981Z return mod(*inputs) 2025-09-07T08:39:37.0676151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0676224Z x = self.forward_features(x) 2025-09-07T08:39:37.0676415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0676479Z x = self.level4(x) 2025-09-07T08:39:37.0676650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0676716Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0676888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0676952Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0677118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0677202Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0677387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0677464Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0677630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0677691Z out = self.relu(out) 2025-09-07T08:39:37.0677694Z 2025-09-07T08:39:37.0677797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0677975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0678042Z return mod(*inputs) 2025-09-07T08:39:37.0678206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0678278Z x = self.forward_features(x) 2025-09-07T08:39:37.0678470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0678529Z x = self.level4(x) 2025-09-07T08:39:37.0678720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0678787Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0678960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0679023Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0679188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0679259Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0679425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0679495Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0679662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0679725Z out = self.relu(out) 2025-09-07T08:39:37.0679728Z 2025-09-07T08:39:37.0679835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0680015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0680082Z return mod(*inputs) 2025-09-07T08:39:37.0680249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0680315Z x = self.forward_features(x) 2025-09-07T08:39:37.0680513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0680574Z x = self.level4(x) 2025-09-07T08:39:37.0680747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0680814Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0680976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0681047Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0681229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0681304Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0681471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0681532Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0681706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0681768Z out = self.relu(out) 2025-09-07T08:39:37.0681770Z 2025-09-07T08:39:37.0681873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0682055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0682122Z return mod(*inputs) 2025-09-07T08:39:37.0682312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0682377Z x = self.forward_features(x) 2025-09-07T08:39:37.0682591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0682650Z x = self.level4(x) 2025-09-07T08:39:37.0682823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0682890Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0683054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0683123Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0683289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0683358Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0683523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0683585Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0683759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0683838Z out = self.relu(out) 2025-09-07T08:39:37.0683841Z 2025-09-07T08:39:37.0683943Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0684123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0684183Z return mod(*inputs) 2025-09-07T08:39:37.0684356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0684420Z x = self.forward_features(x) 2025-09-07T08:39:37.0684617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0684679Z x = self.level4(x) 2025-09-07T08:39:37.0684844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0684921Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0685090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0685165Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0685332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0685394Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0685566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0685627Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0685798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0685861Z out = self.relu(out) 2025-09-07T08:39:37.0685863Z 2025-09-07T08:39:37.0685965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0686147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0686208Z return mod(*inputs) 2025-09-07T08:39:37.0686413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0686482Z x = self.forward_features(x) 2025-09-07T08:39:37.0686678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0686738Z x = self.level4(x) 2025-09-07T08:39:37.0686906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0686982Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0687145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0687218Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0687381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0687487Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0687681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0687745Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0687918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0687980Z out = self.relu(out) 2025-09-07T08:39:37.0687982Z 2025-09-07T08:39:37.0688081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0688272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0688337Z return mod(*inputs) 2025-09-07T08:39:37.0688518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0688586Z x = self.forward_features(x) 2025-09-07T08:39:37.0688780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0688847Z x = self.level4(x) 2025-09-07T08:39:37.0689018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0689108Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0689275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0689349Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0689509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0689569Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0689742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0689804Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0689977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0690039Z out = self.relu(out) 2025-09-07T08:39:37.0690042Z 2025-09-07T08:39:37.0690138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0690328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0690391Z return mod(*inputs) 2025-09-07T08:39:37.0690565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0690630Z x = self.forward_features(x) 2025-09-07T08:39:37.0690823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0690892Z x = self.level4(x) 2025-09-07T08:39:37.0691057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0691130Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0691295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0691357Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0691548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0691615Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0691789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0691856Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0692024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0692088Z x = self.relu(x) 2025-09-07T08:39:37.0692090Z 2025-09-07T08:39:37.0692188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0692377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0692437Z return mod(*inputs) 2025-09-07T08:39:37.0692605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0692692Z x = self.forward_features(x) 2025-09-07T08:39:37.0692903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0692974Z x = self.level4(x) 2025-09-07T08:39:37.0693139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0693212Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0693376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0693437Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0693610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0693673Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0693844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0693910Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0694074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0694156Z x = self.relu(x) 2025-09-07T08:39:37.0694159Z 2025-09-07T08:39:37.0694231Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0694311Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0694408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0694585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0694651Z return mod(*inputs) 2025-09-07T08:39:37.0694817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0694889Z x = self.forward_features(x) 2025-09-07T08:39:37.0695079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0695136Z x = self.level4(x) 2025-09-07T08:39:37.0695311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0695381Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0695557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0695618Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0695784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0695855Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0696016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0696087Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0696254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0696331Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0696343Z 2025-09-07T08:39:37.0696416Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0696511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0696712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0696778Z return mod(*inputs) 2025-09-07T08:39:37.0696954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0697017Z x = self.forward_features(x) 2025-09-07T08:39:37.0697208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0697274Z x = self.level4(x) 2025-09-07T08:39:37.0697441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0697513Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0697680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0697759Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0697951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0698020Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0698192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0698255Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0698420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0698491Z out = self.relu(out) 2025-09-07T08:39:37.0698494Z 2025-09-07T08:39:37.0698589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0698772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0698832Z return mod(*inputs) 2025-09-07T08:39:37.0698997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0699075Z x = self.forward_features(x) 2025-09-07T08:39:37.0699269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0699351Z x = self.level4(x) 2025-09-07T08:39:37.0699521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0699588Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0699762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0699826Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0700005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0700074Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0700252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0700318Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0700486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0700561Z out = self.relu(out) 2025-09-07T08:39:37.0700564Z 2025-09-07T08:39:37.0700659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0700851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0700911Z return mod(*inputs) 2025-09-07T08:39:37.0701082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0701156Z x = self.forward_features(x) 2025-09-07T08:39:37.0701353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0701419Z x = self.level4(x) 2025-09-07T08:39:37.0701590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0701658Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0701862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0701931Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0702109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0702178Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0702345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0702416Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0702582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0702654Z out = self.relu(out) 2025-09-07T08:39:37.0702657Z 2025-09-07T08:39:37.0702751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0702931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0703012Z return mod(*inputs) 2025-09-07T08:39:37.0703191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0703266Z x = self.forward_features(x) 2025-09-07T08:39:37.0703457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0703524Z x = self.level4(x) 2025-09-07T08:39:37.0703689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0703755Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0703929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0703993Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0704165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0704235Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0704404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0704493Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0704659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0704731Z out = self.relu(out) 2025-09-07T08:39:37.0704733Z 2025-09-07T08:39:37.0704827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0705006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0705074Z return mod(*inputs) 2025-09-07T08:39:37.0705242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0705316Z x = self.forward_features(x) 2025-09-07T08:39:37.0705509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0705572Z x = self.level4(x) 2025-09-07T08:39:37.0705748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0705818Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0705990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0706054Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0706219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0706293Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0706458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0706527Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0706691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0706754Z out = self.relu(out) 2025-09-07T08:39:37.0706763Z 2025-09-07T08:39:37.0706859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0707055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0707127Z return mod(*inputs) 2025-09-07T08:39:37.0707292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0707366Z x = self.forward_features(x) 2025-09-07T08:39:37.0707562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0707622Z x = self.level4(x) 2025-09-07T08:39:37.0707799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0707866Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0708039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0708121Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0708304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0708383Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0708551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0708622Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0708788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0708850Z out = self.relu(out) 2025-09-07T08:39:37.0708853Z 2025-09-07T08:39:37.0708957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0709137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0709206Z return mod(*inputs) 2025-09-07T08:39:37.0709370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0709439Z x = self.forward_features(x) 2025-09-07T08:39:37.0709641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0709716Z x = self.level4(x) 2025-09-07T08:39:37.0709891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0709959Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0710127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0710197Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0710362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0710433Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0710600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0710668Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0710839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0710908Z out = self.relu(out) 2025-09-07T08:39:37.0710911Z 2025-09-07T08:39:37.0711015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0711195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0711264Z return mod(*inputs) 2025-09-07T08:39:37.0711432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0711497Z x = self.forward_features(x) 2025-09-07T08:39:37.0711697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0711756Z x = self.level4(x) 2025-09-07T08:39:37.0711928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0711996Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0712180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0712258Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0712423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0712495Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0712662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0712723Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0712897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0712959Z out = self.relu(out) 2025-09-07T08:39:37.0712962Z 2025-09-07T08:39:37.0713063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0713244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0713319Z return mod(*inputs) 2025-09-07T08:39:37.0713511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0713579Z x = self.forward_features(x) 2025-09-07T08:39:37.0713780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0713838Z x = self.level4(x) 2025-09-07T08:39:37.0714003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0714079Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0714243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0714313Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0714478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0714555Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0714719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0714803Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0714977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0715040Z out = self.relu(out) 2025-09-07T08:39:37.0715042Z 2025-09-07T08:39:37.0715145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0715327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0715389Z return mod(*inputs) 2025-09-07T08:39:37.0715563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0715626Z x = self.forward_features(x) 2025-09-07T08:39:37.0715827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0715888Z x = self.level4(x) 2025-09-07T08:39:37.0716058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0716137Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0716302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0716373Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0716539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0716606Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0716778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0716836Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0717008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0717069Z out = self.relu(out) 2025-09-07T08:39:37.0717073Z 2025-09-07T08:39:37.0717166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0717375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0717437Z return mod(*inputs) 2025-09-07T08:39:37.0717612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0717676Z x = self.forward_features(x) 2025-09-07T08:39:37.0717874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0717934Z x = self.level4(x) 2025-09-07T08:39:37.0718101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0718177Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0718342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0718428Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0718596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0718677Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0718852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0718919Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0719090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0719149Z x = self.relu(x) 2025-09-07T08:39:37.0719152Z 2025-09-07T08:39:37.0719247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0719435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0719496Z return mod(*inputs) 2025-09-07T08:39:37.0719668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0719735Z x = self.forward_features(x) 2025-09-07T08:39:37.0719928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0720020Z x = self.level4(x) 2025-09-07T08:39:37.0720186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0720259Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0720424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0720489Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0720662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0720728Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0720902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0720969Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0721144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0721206Z x = self.relu(x) 2025-09-07T08:39:37.0721209Z 2025-09-07T08:39:37.0721284Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0721366Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0721437Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0721543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0721722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0721781Z return mod(*inputs) 2025-09-07T08:39:37.0721957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0722023Z x = self.forward_features(x) 2025-09-07T08:39:37.0722223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0722285Z x = self.level4(x) 2025-09-07T08:39:37.0722465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0722544Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0722708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0722778Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0722944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0723010Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0723185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0723249Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0723421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0723498Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0723517Z 2025-09-07T08:39:37.0723591Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0723710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0723892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0723964Z return mod(*inputs) 2025-09-07T08:39:37.0724128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0724194Z x = self.forward_features(x) 2025-09-07T08:39:37.0724392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0724454Z x = self.level4(x) 2025-09-07T08:39:37.0724628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0724697Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0724861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0724936Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0725102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0725188Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0725354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0725426Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0725588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0725651Z out = self.relu(out) 2025-09-07T08:39:37.0725653Z 2025-09-07T08:39:37.0725756Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0725937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0726001Z return mod(*inputs) 2025-09-07T08:39:37.0726170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0726234Z x = self.forward_features(x) 2025-09-07T08:39:37.0726436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0726495Z x = self.level4(x) 2025-09-07T08:39:37.0726669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0726736Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0726901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0726971Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0727136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0727205Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0727373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0727437Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0727625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0727688Z out = self.relu(out) 2025-09-07T08:39:37.0727690Z 2025-09-07T08:39:37.0727792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0727974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0728033Z return mod(*inputs) 2025-09-07T08:39:37.0728207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0728272Z x = self.forward_features(x) 2025-09-07T08:39:37.0728473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0728532Z x = self.level4(x) 2025-09-07T08:39:37.0728704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0728790Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0728970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0729048Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0729212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0729282Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0729446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0729512Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0729683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0729746Z out = self.relu(out) 2025-09-07T08:39:37.0729748Z 2025-09-07T08:39:37.0729848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0730028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0730088Z return mod(*inputs) 2025-09-07T08:39:37.0730279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0730346Z x = self.forward_features(x) 2025-09-07T08:39:37.0730545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0730605Z x = self.level4(x) 2025-09-07T08:39:37.0730768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0730844Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0731006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0731079Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0731241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0731305Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0731479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0731546Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0731718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0731780Z out = self.relu(out) 2025-09-07T08:39:37.0731783Z 2025-09-07T08:39:37.0731883Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0732063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0732123Z return mod(*inputs) 2025-09-07T08:39:37.0732294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0732360Z x = self.forward_features(x) 2025-09-07T08:39:37.0732557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0732617Z x = self.level4(x) 2025-09-07T08:39:37.0732800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0732879Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0733046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0733120Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0733288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0733350Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0733522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0733585Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0733757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0733846Z out = self.relu(out) 2025-09-07T08:39:37.0733848Z 2025-09-07T08:39:37.0733963Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0734157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0734216Z return mod(*inputs) 2025-09-07T08:39:37.0734390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0734453Z x = self.forward_features(x) 2025-09-07T08:39:37.0734647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0734716Z x = self.level4(x) 2025-09-07T08:39:37.0734885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0734962Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0735128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0735199Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0735376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0735458Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0735638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0735702Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0735875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0735936Z out = self.relu(out) 2025-09-07T08:39:37.0735939Z 2025-09-07T08:39:37.0736034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0736221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0736282Z return mod(*inputs) 2025-09-07T08:39:37.0736460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0736525Z x = self.forward_features(x) 2025-09-07T08:39:37.0736725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0736791Z x = self.level4(x) 2025-09-07T08:39:37.0736958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0737030Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0737197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0737262Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0737439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0737502Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0737678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0737739Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0737919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0737994Z out = self.relu(out) 2025-09-07T08:39:37.0737997Z 2025-09-07T08:39:37.0738095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0738283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0738347Z return mod(*inputs) 2025-09-07T08:39:37.0738514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0738589Z x = self.forward_features(x) 2025-09-07T08:39:37.0738782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0738852Z x = self.level4(x) 2025-09-07T08:39:37.0739018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0739109Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0739296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0739364Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0739539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0739602Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0739776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0739836Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0739999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0740067Z out = self.relu(out) 2025-09-07T08:39:37.0740069Z 2025-09-07T08:39:37.0740166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0740353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0740413Z return mod(*inputs) 2025-09-07T08:39:37.0740600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0740673Z x = self.forward_features(x) 2025-09-07T08:39:37.0740865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0740932Z x = self.level4(x) 2025-09-07T08:39:37.0741097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0741163Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0741336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0741404Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0741579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0741644Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0741812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0741884Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0742050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0742117Z out = self.relu(out) 2025-09-07T08:39:37.0742119Z 2025-09-07T08:39:37.0742215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0742403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0742463Z return mod(*inputs) 2025-09-07T08:39:37.0742629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0742704Z x = self.forward_features(x) 2025-09-07T08:39:37.0742896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0742965Z x = self.level4(x) 2025-09-07T08:39:37.0743146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0743218Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0743395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0743459Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0743631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0743696Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0743862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0743928Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0744092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0744177Z out = self.relu(out) 2025-09-07T08:39:37.0744179Z 2025-09-07T08:39:37.0744275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0744473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0744543Z return mod(*inputs) 2025-09-07T08:39:37.0744712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0744785Z x = self.forward_features(x) 2025-09-07T08:39:37.0744977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0745040Z x = self.level4(x) 2025-09-07T08:39:37.0745216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0745283Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0745460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0745529Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0745698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0745786Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0745952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0746026Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0746192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0746258Z x = self.relu(x) 2025-09-07T08:39:37.0746261Z 2025-09-07T08:39:37.0746358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0746537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0746605Z return mod(*inputs) 2025-09-07T08:39:37.0746770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0746847Z x = self.forward_features(x) 2025-09-07T08:39:37.0747043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0747104Z x = self.level4(x) 2025-09-07T08:39:37.0747285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0747352Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0747522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0747589Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0747753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0747825Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0747990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0748066Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0748247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0748309Z x = self.relu(x) 2025-09-07T08:39:37.0748312Z 2025-09-07T08:39:37.0748393Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0748466Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0748566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0748747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0748806Z return mod(*inputs) 2025-09-07T08:39:37.0749024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0749089Z x = self.forward_features(x) 2025-09-07T08:39:37.0749285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0749379Z x = self.level4(x) 2025-09-07T08:39:37.0749549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0749647Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0749815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0749888Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0750056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0750125Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0750292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0750356Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0750531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0750608Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0750612Z 2025-09-07T08:39:37.0750690Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0750787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0750992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0751061Z return mod(*inputs) 2025-09-07T08:39:37.0751226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0751298Z x = self.forward_features(x) 2025-09-07T08:39:37.0751490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0751550Z x = self.level4(x) 2025-09-07T08:39:37.0751724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0751791Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0751961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0752030Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0752195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0752272Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0752437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0752511Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0752675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0752737Z out = self.relu(out) 2025-09-07T08:39:37.0752747Z 2025-09-07T08:39:37.0752841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0753021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0753090Z return mod(*inputs) 2025-09-07T08:39:37.0753258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0753330Z x = self.forward_features(x) 2025-09-07T08:39:37.0753545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0753607Z x = self.level4(x) 2025-09-07T08:39:37.0753780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0753849Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0754022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0754088Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0754256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0754330Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0754499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0754590Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0754771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0754837Z out = self.relu(out) 2025-09-07T08:39:37.0754840Z 2025-09-07T08:39:37.0754942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0755124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0755191Z return mod(*inputs) 2025-09-07T08:39:37.0755359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0755426Z x = self.forward_features(x) 2025-09-07T08:39:37.0755628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0755686Z x = self.level4(x) 2025-09-07T08:39:37.0755863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0755931Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0756103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0756194Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0756359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0756431Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0756596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0756666Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0756831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0756893Z out = self.relu(out) 2025-09-07T08:39:37.0756895Z 2025-09-07T08:39:37.0756995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0757177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0757247Z return mod(*inputs) 2025-09-07T08:39:37.0757419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0757487Z x = self.forward_features(x) 2025-09-07T08:39:37.0757687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0757746Z x = self.level4(x) 2025-09-07T08:39:37.0757915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0757981Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0758147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0758223Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0758388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0758465Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0758647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0758714Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0758889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0758949Z out = self.relu(out) 2025-09-07T08:39:37.0758951Z 2025-09-07T08:39:37.0759052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0759231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0759290Z return mod(*inputs) 2025-09-07T08:39:37.0759462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0759526Z x = self.forward_features(x) 2025-09-07T08:39:37.0759748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0759806Z x = self.level4(x) 2025-09-07T08:39:37.0759995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0760063Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0760228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0760301Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0760468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0760542Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0760705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0760768Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0760938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0761003Z out = self.relu(out) 2025-09-07T08:39:37.0761006Z 2025-09-07T08:39:37.0761109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0761324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0761384Z return mod(*inputs) 2025-09-07T08:39:37.0761557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0761623Z x = self.forward_features(x) 2025-09-07T08:39:37.0761825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0761884Z x = self.level4(x) 2025-09-07T08:39:37.0762053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0762127Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0762297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0762370Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0762543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0762611Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0762787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0762852Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0763027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0763089Z out = self.relu(out) 2025-09-07T08:39:37.0763091Z 2025-09-07T08:39:37.0763192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0763372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0763434Z return mod(*inputs) 2025-09-07T08:39:37.0763613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0763699Z x = self.forward_features(x) 2025-09-07T08:39:37.0763901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0763962Z x = self.level4(x) 2025-09-07T08:39:37.0764125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0764202Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0764366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0764442Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0764607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0764674Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0764846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0764923Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0765109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0765176Z out = self.relu(out) 2025-09-07T08:39:37.0765179Z 2025-09-07T08:39:37.0765274Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0765465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0765528Z return mod(*inputs) 2025-09-07T08:39:37.0765704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0765769Z x = self.forward_features(x) 2025-09-07T08:39:37.0765962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0766030Z x = self.level4(x) 2025-09-07T08:39:37.0766200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0766277Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0766462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0766533Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0766702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0766769Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0766941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0767000Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0767172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0767234Z out = self.relu(out) 2025-09-07T08:39:37.0767236Z 2025-09-07T08:39:37.0767332Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0767520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0767584Z return mod(*inputs) 2025-09-07T08:39:37.0767757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0767823Z x = self.forward_features(x) 2025-09-07T08:39:37.0768014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0768083Z x = self.level4(x) 2025-09-07T08:39:37.0768249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0768323Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0768489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0768556Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0768727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0768795Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0768997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0769060Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0769223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0769293Z out = self.relu(out) 2025-09-07T08:39:37.0769295Z 2025-09-07T08:39:37.0769391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0769578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0769638Z return mod(*inputs) 2025-09-07T08:39:37.0769810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0769876Z x = self.forward_features(x) 2025-09-07T08:39:37.0770081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0770149Z x = self.level4(x) 2025-09-07T08:39:37.0770333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0770406Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0770572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0770639Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0770811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0770878Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0771050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0771110Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0771273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0771344Z out = self.relu(out) 2025-09-07T08:39:37.0771347Z 2025-09-07T08:39:37.0771445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0771651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0771711Z return mod(*inputs) 2025-09-07T08:39:37.0771877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0771950Z x = self.forward_features(x) 2025-09-07T08:39:37.0772143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0772209Z x = self.level4(x) 2025-09-07T08:39:37.0772375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0772441Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0772612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0772679Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0772857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0772925Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0773092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0773164Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0773329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0773395Z x = self.relu(x) 2025-09-07T08:39:37.0773398Z 2025-09-07T08:39:37.0773493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0773679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0773740Z return mod(*inputs) 2025-09-07T08:39:37.0773909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0773984Z x = self.forward_features(x) 2025-09-07T08:39:37.0774193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0774259Z x = self.level4(x) 2025-09-07T08:39:37.0774427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0774495Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0774669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0774737Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0774914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0774981Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0775147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0775235Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0775417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0775485Z x = self.relu(x) 2025-09-07T08:39:37.0775488Z 2025-09-07T08:39:37.0775563Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0775634Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0775718Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0775789Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0775867Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0775940Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0776034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0776218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0776278Z return mod(*inputs) 2025-09-07T08:39:37.0776454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0776522Z x = self.forward_features(x) 2025-09-07T08:39:37.0776730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 368, in forward_features 2025-09-07T08:39:37.0776801Z x = self.level4(x) 2025-09-07T08:39:37.0776967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0777041Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0777206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0777273Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0777448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 257, in forward 2025-09-07T08:39:37.0777515Z x = self.tree2(x1, None, children) 2025-09-07T08:39:37.0777687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0777755Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0777936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0778012Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0778015Z 2025-09-07T08:39:37.0778086Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0778186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0778366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0778431Z return mod(*inputs) 2025-09-07T08:39:37.0778598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0778663Z x = self.forward_features(x) 2025-09-07T08:39:37.0778862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0778922Z x = self.level5(x) 2025-09-07T08:39:37.0779117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0779186Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0779354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0779426Z out = self.relu(out) 2025-09-07T08:39:37.0779428Z 2025-09-07T08:39:37.0779523Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0779712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0779771Z return mod(*inputs) 2025-09-07T08:39:37.0779935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0780007Z x = self.forward_features(x) 2025-09-07T08:39:37.0780197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0780279Z x = self.level5(x) 2025-09-07T08:39:37.0780462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0780529Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0780702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0780764Z out = self.relu(out) 2025-09-07T08:39:37.0780767Z 2025-09-07T08:39:37.0780866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0781048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0781116Z return mod(*inputs) 2025-09-07T08:39:37.0781284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0781352Z x = self.forward_features(x) 2025-09-07T08:39:37.0781557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0781619Z x = self.level5(x) 2025-09-07T08:39:37.0781797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0781879Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0782047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0782116Z out = self.relu(out) 2025-09-07T08:39:37.0782119Z 2025-09-07T08:39:37.0782216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0782400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0782461Z return mod(*inputs) 2025-09-07T08:39:37.0782630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0782703Z x = self.forward_features(x) 2025-09-07T08:39:37.0782901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0782968Z x = self.level5(x) 2025-09-07T08:39:37.0783140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0783205Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0783383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0783445Z out = self.relu(out) 2025-09-07T08:39:37.0783448Z 2025-09-07T08:39:37.0783549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0783731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0783791Z return mod(*inputs) 2025-09-07T08:39:37.0783966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0784033Z x = self.forward_features(x) 2025-09-07T08:39:37.0784236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0784295Z x = self.level5(x) 2025-09-07T08:39:37.0784490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0784556Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0784723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0784794Z out = self.relu(out) 2025-09-07T08:39:37.0784796Z 2025-09-07T08:39:37.0784892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0785081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0785141Z return mod(*inputs) 2025-09-07T08:39:37.0785307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0785380Z x = self.forward_features(x) 2025-09-07T08:39:37.0785592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0785681Z x = self.level5(x) 2025-09-07T08:39:37.0785851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 251, in forward 2025-09-07T08:39:37.0785914Z x1 = self.tree1(x, shortcut) 2025-09-07T08:39:37.0786085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 92, in forward 2025-09-07T08:39:37.0786147Z out = self.relu(out) 2025-09-07T08:39:37.0786150Z 2025-09-07T08:39:37.0786253Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0786433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0786494Z return mod(*inputs) 2025-09-07T08:39:37.0786670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0786737Z x = self.forward_features(x) 2025-09-07T08:39:37.0786934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0787010Z x = self.level5(x) 2025-09-07T08:39:37.0787176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 247, in forward 2025-09-07T08:39:37.0787259Z bottom = self.downsample(x) 2025-09-07T08:39:37.0787262Z 2025-09-07T08:39:37.0787337Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0787439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0787624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0787694Z return mod(*inputs) 2025-09-07T08:39:37.0787863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0787928Z x = self.forward_features(x) 2025-09-07T08:39:37.0788132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0788193Z x = self.level5(x) 2025-09-07T08:39:37.0788369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0788431Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0788599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0788668Z out = self.relu(out) 2025-09-07T08:39:37.0788670Z 2025-09-07T08:39:37.0788764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0788957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0789019Z return mod(*inputs) 2025-09-07T08:39:37.0789187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0789263Z x = self.forward_features(x) 2025-09-07T08:39:37.0789460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0789530Z x = self.level5(x) 2025-09-07T08:39:37.0789718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0789779Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0789956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 82, in forward 2025-09-07T08:39:37.0790018Z out = self.relu(out) 2025-09-07T08:39:37.0790021Z 2025-09-07T08:39:37.0790120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0790302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0790361Z return mod(*inputs) 2025-09-07T08:39:37.0790536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0790602Z x = self.forward_features(x) 2025-09-07T08:39:37.0790814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0790873Z x = self.level5(x) 2025-09-07T08:39:37.0791061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0791122Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0791286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0791355Z out = self.relu(out) 2025-09-07T08:39:37.0791357Z 2025-09-07T08:39:37.0791452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0791637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0791697Z return mod(*inputs) 2025-09-07T08:39:37.0791861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0791933Z x = self.forward_features(x) 2025-09-07T08:39:37.0792127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0792197Z x = self.level5(x) 2025-09-07T08:39:37.0792377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 253, in forward 2025-09-07T08:39:37.0792437Z x2 = self.tree2(x1) 2025-09-07T08:39:37.0792610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 86, in forward 2025-09-07T08:39:37.0792670Z out = self.relu(out) 2025-09-07T08:39:37.0792673Z 2025-09-07T08:39:37.0792773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0792953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0793014Z return mod(*inputs) 2025-09-07T08:39:37.0793188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0793253Z x = self.forward_features(x) 2025-09-07T08:39:37.0793453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0793515Z x = self.level5(x) 2025-09-07T08:39:37.0793679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0793752Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0793916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0793981Z x = self.relu(x) 2025-09-07T08:39:37.0793984Z 2025-09-07T08:39:37.0794076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0794265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0794327Z return mod(*inputs) 2025-09-07T08:39:37.0794490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0794563Z x = self.forward_features(x) 2025-09-07T08:39:37.0794755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0794839Z x = self.level5(x) 2025-09-07T08:39:37.0795005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0795071Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0795245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 180, in forward 2025-09-07T08:39:37.0795303Z x = self.relu(x) 2025-09-07T08:39:37.0795306Z 2025-09-07T08:39:37.0795385Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0795457Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0795527Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0795630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0795811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0795898Z return mod(*inputs) 2025-09-07T08:39:37.0796081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 381, in forward 2025-09-07T08:39:37.0796149Z x = self.forward_features(x) 2025-09-07T08:39:37.0796351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 369, in forward_features 2025-09-07T08:39:37.0796413Z x = self.level5(x) 2025-09-07T08:39:37.0796586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 254, in forward 2025-09-07T08:39:37.0796655Z x = self.root([x2, x1] + children) 2025-09-07T08:39:37.0796820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 176, in forward 2025-09-07T08:39:37.0796904Z x = self.conv(torch.cat(x_children, 1)) 2025-09-07T08:39:37.0796907Z 2025-09-07T08:39:37.0796980Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0797059Z cudagraph partition due to non gpu ops 2025-09-07T08:39:37.0797156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0797341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0797434Z return mod(*inputs) 2025-09-07T08:39:37.0797604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 382, in forward 2025-09-07T08:39:37.0797678Z x = self.forward_head(x) 2025-09-07T08:39:37.0797864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 373, in forward_head 2025-09-07T08:39:37.0797931Z x = self.global_pool(x) 2025-09-07T08:39:37.0798164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:39:37.0798226Z x = self.pool(x) 2025-09-07T08:39:37.0798229Z 2025-09-07T08:39:37.0798331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0798513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0798584Z return mod(*inputs) 2025-09-07T08:39:37.0798754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 382, in forward 2025-09-07T08:39:37.0798824Z x = self.forward_head(x) 2025-09-07T08:39:37.0799015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 377, in forward_head 2025-09-07T08:39:37.0799072Z x = self.fc(x) 2025-09-07T08:39:37.0799076Z 2025-09-07T08:39:37.0799178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:39:37.0799357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:39:37.0799418Z return mod(*inputs) 2025-09-07T08:39:37.0799595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 382, in forward 2025-09-07T08:39:37.0799661Z x = self.forward_head(x) 2025-09-07T08:39:37.0799853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/dla.py", line 377, in forward_head 2025-09-07T08:39:37.0799912Z x = self.fc(x) 2025-09-07T08:39:37.0799915Z 2025-09-07T09:12:35.9119069Z timeout 2025-09-07T09:12:35.9487807Z accuracy pass_rate=90.91% 2025-09-07T09:12:35.9489489Z calls_captured gmean=0.00x mean=395.909x 2025-09-07T09:12:35.9489884Z unique_graphs gmean=0.00x mean=0.909x 2025-09-07T09:12:35.9492487Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:12:35.9495045Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:12:35.9497524Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:12:35.9499701Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:12:35.9502042Z cudagraph_skips gmean=0.00x mean=0.909x 2025-09-07T09:12:35.9502952Z compilation_latency mean=32.248 seconds 2025-09-07T09:12:36.6346984Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cppwrapper-true* ]] 2025-09-07T09:12:36.6348048Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T09:12:36.6349066Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T09:12:37.3103646Z /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. 2025-09-07T09:12:37.3104457Z import pynvml # type: ignore[import] 2025-09-07T09:12:40.2006090Z /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. 2025-09-07T09:12:40.2006896Z import pynvml # type: ignore[import] 2025-09-07T09:12:42.3831757Z 2025-09-07T09:12:42.9670720Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:12:42.9671027Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:12:42.9673446Z cpu eval adv_inception_v3 2025-09-07T09:12:43.5974852Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:12:43.7229336Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:12:43.8468478Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:13:13.5674162Z pass 2025-09-07T09:13:13.5674587Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:13:15.7711838Z /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. 2025-09-07T09:13:15.7712698Z import pynvml # type: ignore[import] 2025-09-07T09:13:17.9495385Z 2025-09-07T09:13:18.8424366Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:13:18.8424837Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:13:18.8425254Z cpu eval beit_base_patch16_224 2025-09-07T09:13:19.1676640Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:13:19.2590187Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:13:19.3438247Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:13:37.3770756Z pass 2025-09-07T09:13:37.3771155Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:13:39.4814374Z /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. 2025-09-07T09:13:39.4815230Z import pynvml # type: ignore[import] 2025-09-07T09:13:41.6664921Z 2025-09-07T09:13:42.0953143Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:13:42.0953482Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:13:42.0953754Z cpu eval botnet26t_256 2025-09-07T09:13:42.4756889Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:13:42.6141264Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:13:42.7494169Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:14:04.1806933Z pass 2025-09-07T09:14:04.1807619Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:14:06.3020593Z /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. 2025-09-07T09:14:06.3021435Z import pynvml # type: ignore[import] 2025-09-07T09:14:08.4895956Z 2025-09-07T09:14:14.3423332Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:14:14.3423745Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:14:14.3424073Z cpu eval cait_m36_384 2025-09-07T09:14:22.6343250Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:14:35.5301562Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:14:48.4680590Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:08.7256392Z pass 2025-09-07T09:16:08.7256797Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:11.8793582Z /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. 2025-09-07T09:16:11.8794577Z import pynvml # type: ignore[import] 2025-09-07T09:16:14.0658744Z 2025-09-07T09:16:14.3945432Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:14.3945764Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:14.3946012Z cpu eval coat_lite_mini 2025-09-07T09:16:15.5305565Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:15.6346498Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:15.7375253Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:39.8512086Z pass 2025-09-07T09:16:39.8512516Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:42.1598140Z /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. 2025-09-07T09:16:42.1599106Z import pynvml # type: ignore[import] 2025-09-07T09:16:44.3329833Z 2025-09-07T09:16:45.3867073Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:45.3867512Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:16:45.3867887Z cpu eval convit_base 2025-09-07T09:16:45.4284499Z WARNING:common:fp64 golden ref were not generated for convit_base. Setting accuracy check to cosine 2025-09-07T09:16:45.4285316Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:45.6970110Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:45.9645874Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:26.9043389Z pass 2025-09-07T09:17:26.9043811Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:29.4507079Z /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. 2025-09-07T09:17:29.4508411Z import pynvml # type: ignore[import] 2025-09-07T09:17:31.6321596Z 2025-09-07T09:17:31.9596550Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:17:31.9596958Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:17:31.9597299Z cpu eval convmixer_768_32 2025-09-07T09:17:39.2806336Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:39.5462968Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:39.6828710Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:00.1824266Z pass 2025-09-07T09:18:00.1824877Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:02.4006344Z /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. 2025-09-07T09:18:02.4007270Z import pynvml # type: ignore[import] 2025-09-07T09:18:04.5778457Z 2025-09-07T09:18:05.6766043Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:05.6766366Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:18:05.6766619Z cpu eval convnext_base 2025-09-07T09:18:16.2752544Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:16.4111917Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:16.5447948Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:41.4874520Z pass 2025-09-07T09:18:41.4874942Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:43.7422221Z /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. 2025-09-07T09:18:43.7423189Z import pynvml # type: ignore[import] 2025-09-07T09:18:45.9228013Z 2025-09-07T09:18:46.2851256Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:46.2851670Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:46.2852004Z cpu eval crossvit_9_240 2025-09-07T09:18:46.3835925Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:46.4588613Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:46.5307380Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:14.2111173Z pass 2025-09-07T09:19:14.2111605Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:16.5108761Z /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. 2025-09-07T09:19:16.5109649Z import pynvml # type: ignore[import] 2025-09-07T09:19:18.6877891Z 2025-09-07T09:19:19.2583553Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:19.2583885Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:19.2584131Z cpu eval cspdarknet53 2025-09-07T09:19:19.9574577Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:20.0607520Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:20.1641893Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:38.6105099Z pass 2025-09-07T09:19:38.6105735Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:40.7379767Z /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. 2025-09-07T09:19:40.7380672Z import pynvml # type: ignore[import] 2025-09-07T09:19:42.9175796Z 2025-09-07T09:19:43.7486844Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:43.7487257Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:43.7487603Z cpu eval deit_base_distilled_patch16_224 2025-09-07T09:19:44.0702731Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:44.1514940Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:44.3610206Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:01.8338606Z pass 2025-09-07T09:20:01.8339017Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:03.9890052Z /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. 2025-09-07T09:20:03.9890945Z import pynvml # type: ignore[import] 2025-09-07T09:20:06.1610455Z 2025-09-07T09:20:06.7912411Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:06.7912754Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:06.7913057Z cpu eval dla102 2025-09-07T09:20:07.5233102Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:07.6442901Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:07.7663458Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:30.0884807Z pass 2025-09-07T09:20:30.0885206Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:31.5801687Z accuracy pass_rate=100.00% 2025-09-07T09:20:31.5805209Z calls_captured gmean=414.70x mean=489.667x 2025-09-07T09:20:31.5807335Z unique_graphs gmean=1.06x mean=1.083x 2025-09-07T09:20:31.5810380Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:20:31.5813375Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:20:31.5816224Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:20:31.5819071Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:20:31.5821732Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:20:31.5823030Z compilation_latency mean=27.438 seconds 2025-09-07T09:20:32.0870453Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing_cudagraphs-true* ]] 2025-09-07T09:20:32.0871326Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T09:20:32.0872115Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *aotinductor-true* ]] 2025-09-07T09:20:32.0872590Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:20:32.0872807Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T09:20:32.0874024Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T09:20:32.7710195Z /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. 2025-09-07T09:20:32.7710956Z import pynvml # type: ignore[import] 2025-09-07T09:20:35.6408064Z /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. 2025-09-07T09:20:35.6408836Z import pynvml # type: ignore[import] 2025-09-07T09:20:37.8165731Z 2025-09-07T09:20:38.3985532Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:38.3985960Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:38.3986253Z cpu eval adv_inception_v3 2025-09-07T09:20:39.0378110Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:39.1738643Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:39.3015672Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:49.5609506Z pass 2025-09-07T09:20:49.5609977Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:51.0887863Z /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. 2025-09-07T09:20:51.0888810Z import pynvml # type: ignore[import] 2025-09-07T09:20:53.2726836Z 2025-09-07T09:20:54.1756454Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:54.1756833Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:54.1757145Z cpu eval beit_base_patch16_224 2025-09-07T09:20:54.4974830Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:54.5893092Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:54.6740283Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:21:03.9252776Z pass 2025-09-07T09:21:03.9253188Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:21:05.3931397Z /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. 2025-09-07T09:21:05.3932460Z import pynvml # type: ignore[import] 2025-09-07T09:21:07.5775759Z 2025-09-07T09:21:07.8638570Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:21:07.8638931Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:21:07.8639216Z cpu eval botnet26t_256 2025-09-07T09:21:08.2458542Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:21:08.3854265Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:21:08.5217699Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:21:17.6095059Z pass 2025-09-07T09:21:17.6095459Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:21:19.0907863Z /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. 2025-09-07T09:21:19.0908780Z import pynvml # type: ignore[import] 2025-09-07T09:21:21.2696207Z 2025-09-07T09:21:26.8118275Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:21:26.8118690Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:21:26.8119022Z cpu eval cait_m36_384 2025-09-07T09:21:35.1109959Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:21:48.1047714Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:01.1145157Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:29.3122790Z pass 2025-09-07T09:22:29.3123366Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:31.2814276Z /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. 2025-09-07T09:22:31.2815604Z import pynvml # type: ignore[import] 2025-09-07T09:22:33.4623529Z 2025-09-07T09:22:33.7809354Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:33.7809705Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:33.7809996Z cpu eval coat_lite_mini 2025-09-07T09:22:34.9064950Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:35.0085464Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:35.1086812Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:43.8769284Z pass 2025-09-07T09:22:43.8769770Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:45.3922004Z /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. 2025-09-07T09:22:45.3922802Z import pynvml # type: ignore[import] 2025-09-07T09:22:47.5546583Z 2025-09-07T09:22:48.6085459Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:48.6085870Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:22:48.6088763Z cpu eval convit_base 2025-09-07T09:22:48.6484786Z WARNING:common:fp64 golden ref were not generated for convit_base. Setting accuracy check to cosine 2025-09-07T09:22:48.6486361Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:48.9197828Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:49.1891915Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:58.2175032Z pass 2025-09-07T09:22:58.2175520Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:22:59.6786067Z /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. 2025-09-07T09:22:59.6787105Z import pynvml # type: ignore[import] 2025-09-07T09:23:01.8548294Z 2025-09-07T09:23:02.1819600Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:02.1820604Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:02.1820931Z cpu eval convmixer_768_32 2025-09-07T09:23:09.5109021Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:09.7768723Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:09.9130458Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:18.4013802Z pass 2025-09-07T09:23:18.4014239Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:19.8803034Z /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. 2025-09-07T09:23:19.8803922Z import pynvml # type: ignore[import] 2025-09-07T09:23:22.0546186Z 2025-09-07T09:23:23.1491911Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:23.1492596Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:23:23.1492842Z cpu eval convnext_base 2025-09-07T09:23:33.2790181Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:33.4147932Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:33.5616709Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:43.7984757Z pass 2025-09-07T09:23:43.7985173Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:45.3000197Z /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. 2025-09-07T09:23:45.3001234Z import pynvml # type: ignore[import] 2025-09-07T09:23:47.4825007Z 2025-09-07T09:23:47.7185240Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:47.7185627Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:47.7185964Z cpu eval crossvit_9_240 2025-09-07T09:23:47.9469510Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:48.0233057Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:48.0968485Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:57.5794374Z pass 2025-09-07T09:23:57.5794767Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:23:59.0600928Z /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. 2025-09-07T09:23:59.0601925Z import pynvml # type: ignore[import] 2025-09-07T09:24:01.2406809Z 2025-09-07T09:24:01.8027976Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:01.8028277Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:01.8028522Z cpu eval cspdarknet53 2025-09-07T09:24:02.5177767Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:02.6225876Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:02.7278867Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:11.8210488Z pass 2025-09-07T09:24:11.8211242Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:13.2907866Z /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. 2025-09-07T09:24:13.2908792Z import pynvml # type: ignore[import] 2025-09-07T09:24:15.4671728Z 2025-09-07T09:24:16.3014478Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:16.3015009Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:16.3015370Z cpu eval deit_base_distilled_patch16_224 2025-09-07T09:24:16.6238924Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:16.7061538Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:16.9137726Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:24.7530586Z pass 2025-09-07T09:24:24.7531045Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:26.1923623Z /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. 2025-09-07T09:24:26.1924389Z import pynvml # type: ignore[import] 2025-09-07T09:24:28.3696133Z 2025-09-07T09:24:28.9868388Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:28.9868740Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:28.9871294Z cpu eval dla102 2025-09-07T09:24:29.7182099Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:29.8431371Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:29.9673557Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:39.0577879Z pass 2025-09-07T09:24:39.0578310Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:39.8508879Z accuracy pass_rate=100.00% 2025-09-07T09:24:39.8512530Z calls_captured gmean=452.30x mean=500.917x 2025-09-07T09:24:39.8515419Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T09:24:39.8518157Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:24:39.8520892Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:24:39.8523595Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:24:39.8526116Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:24:39.8528616Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:24:39.8529499Z compilation_latency mean=8.329 seconds 2025-09-07T09:24:40.3616078Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T09:24:41.0419331Z /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. 2025-09-07T09:24:41.0420234Z import pynvml # type: ignore[import] 2025-09-07T09:24:43.8998617Z /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. 2025-09-07T09:24:43.8999848Z import pynvml # type: ignore[import] 2025-09-07T09:24:46.0776107Z 2025-09-07T09:24:46.6572970Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:46.6573286Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:46.6573542Z cpu eval adv_inception_v3 2025-09-07T09:24:47.2906101Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:47.4161589Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:24:47.5406450Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:25:16.3526008Z pass 2025-09-07T09:25:16.3526492Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:25:18.2793098Z /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. 2025-09-07T09:25:18.2794371Z import pynvml # type: ignore[import] 2025-09-07T09:25:20.4583455Z 2025-09-07T09:25:21.3312030Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:21.3312381Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:21.3312789Z cpu eval beit_base_patch16_224 2025-09-07T09:25:21.6544810Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:25:21.7475272Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:25:21.8332005Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:25:37.9421169Z pass 2025-09-07T09:25:37.9421597Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:25:39.7915144Z /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. 2025-09-07T09:25:39.7915975Z import pynvml # type: ignore[import] 2025-09-07T09:25:41.9682617Z 2025-09-07T09:25:42.2662440Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:42.2662785Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:42.2663075Z cpu eval botnet26t_256 2025-09-07T09:25:42.6429739Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:25:42.7817844Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:25:42.9202140Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:26:02.7943130Z pass 2025-09-07T09:26:02.7943798Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:26:04.6102451Z /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. 2025-09-07T09:26:04.6103462Z import pynvml # type: ignore[import] 2025-09-07T09:26:06.7869887Z 2025-09-07T09:26:12.6078462Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:12.6078859Z loading model: 0it [00:05, ?it/s] 2025-09-07T09:26:12.6079181Z cpu eval cait_m36_384 2025-09-07T09:26:20.8884921Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:26:33.8948686Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:26:46.8923480Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:27:42.7004327Z pass 2025-09-07T09:27:42.7004807Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:27:45.7389948Z /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. 2025-09-07T09:27:45.7390957Z import pynvml # type: ignore[import] 2025-09-07T09:27:47.9178731Z 2025-09-07T09:27:48.2668091Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:48.2668399Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:48.2668626Z cpu eval coat_lite_mini 2025-09-07T09:27:49.3954051Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:27:49.4984618Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:27:49.5997260Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:28:12.9315087Z pass 2025-09-07T09:28:12.9315464Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:28:14.9824190Z /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. 2025-09-07T09:28:14.9825034Z import pynvml # type: ignore[import] 2025-09-07T09:28:17.1622287Z 2025-09-07T09:28:18.1748366Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:18.1748770Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:28:18.1754320Z cpu eval convit_base 2025-09-07T09:28:18.2125031Z WARNING:common:fp64 golden ref were not generated for convit_base. Setting accuracy check to cosine 2025-09-07T09:28:18.2126655Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:28:18.4821257Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:28:18.7513978Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:28:43.5603275Z pass 2025-09-07T09:28:43.5606418Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:28:45.5400623Z /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. 2025-09-07T09:28:45.5401551Z import pynvml # type: ignore[import] 2025-09-07T09:28:47.7121181Z 2025-09-07T09:28:48.0491364Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:48.0491782Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:48.0492111Z cpu eval convmixer_768_32 2025-09-07T09:28:55.4132322Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:28:55.6792124Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:28:55.8169079Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:29:12.9297090Z pass 2025-09-07T09:29:12.9297511Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:29:14.8089700Z /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. 2025-09-07T09:29:14.8091094Z import pynvml # type: ignore[import] 2025-09-07T09:29:16.9789085Z 2025-09-07T09:29:18.0657770Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:18.0658075Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:29:18.0658323Z cpu eval convnext_base 2025-09-07T09:29:28.5892626Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:29:28.7247755Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:29:28.8584890Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:29:53.0022046Z pass 2025-09-07T09:29:53.0022443Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:29:55.0620261Z /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. 2025-09-07T09:29:55.0621435Z import pynvml # type: ignore[import] 2025-09-07T09:29:57.2418659Z 2025-09-07T09:29:57.4826759Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:57.4827175Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:57.4827510Z cpu eval crossvit_9_240 2025-09-07T09:29:57.7104344Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:29:57.7881040Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:29:57.8614137Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:30:22.6990667Z pass 2025-09-07T09:30:22.6992510Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:30:24.7921522Z /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. 2025-09-07T09:30:24.7922368Z import pynvml # type: ignore[import] 2025-09-07T09:30:26.9772692Z 2025-09-07T09:30:27.5296736Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:27.5297038Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:27.5297289Z cpu eval cspdarknet53 2025-09-07T09:30:28.2538560Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:30:28.3595884Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:30:28.4644068Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:30:48.8598966Z pass 2025-09-07T09:30:48.8599682Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:30:50.7493342Z /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. 2025-09-07T09:30:50.7494356Z import pynvml # type: ignore[import] 2025-09-07T09:30:52.9263478Z 2025-09-07T09:30:53.7699931Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:53.7700388Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:53.7700839Z cpu eval deit_base_distilled_patch16_224 2025-09-07T09:30:54.0905174Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:30:54.1719185Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:30:54.3801328Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:31:09.8101815Z pass 2025-09-07T09:31:09.8102241Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:31:11.7126216Z /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. 2025-09-07T09:31:11.7126963Z import pynvml # type: ignore[import] 2025-09-07T09:31:13.8856986Z 2025-09-07T09:31:14.5133590Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:31:14.5133903Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:31:14.5134177Z cpu eval dla102 2025-09-07T09:31:15.2463232Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:31:15.3698398Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:31:15.4921945Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:31:35.1854525Z pass 2025-09-07T09:31:35.1854919Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:31:36.4451199Z accuracy pass_rate=100.00% 2025-09-07T09:31:36.4454861Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T09:31:36.4455139Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T09:31:36.4455350Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:31:36.4455606Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:31:36.4457968Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:31:36.4460338Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:31:36.4462515Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:31:36.4463227Z compilation_latency mean=0.000 seconds 2025-09-07T09:31:36.9438737Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *maxautotune-true* ]] 2025-09-07T09:31:36.9439633Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cudagraphs_low_precision-true* ]] 2025-09-07T09:31:36.9440203Z + for target in "${targets[@]}" 2025-09-07T09:31:36.9440413Z + target_flag=('--performance') 2025-09-07T09:31:36.9440595Z + local target_flag 2025-09-07T09:31:36.9440778Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:31:36.9441002Z + target_flag+=(--cold-start-latency) 2025-09-07T09:31:36.9441478Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T09:31:36.9441994Z + target_flag+=(--freezing) 2025-09-07T09:31:36.9442731Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T09:31:36.9443862Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.csv 2025-09-07T09:31:37.6292747Z /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. 2025-09-07T09:31:37.6293531Z import pynvml # type: ignore[import] 2025-09-07T09:31:40.4965766Z /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. 2025-09-07T09:31:40.4966777Z import pynvml # type: ignore[import] 2025-09-07T09:31:42.6752681Z 2025-09-07T09:31:43.9214524Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:31:43.9214833Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:31:43.9215097Z cpu eval adv_inception_v3 2025-09-07T09:32:26.3464475Z 2025-09-07T09:32:26.7481086Z running benchmark: 0% 0/30 [00:00 [B, N, h, Ch] -> [B, N, C] 2025-09-07T10:28:08.9191218Z 2025-09-07T10:28:08.9191625Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9191835Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9192027Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9192227Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9192424Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9192622Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9192838Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9193181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9193491Z return mod(*inputs) 2025-09-07T10:28:08.9193768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9194079Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9194447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9194789Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9195077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9195381Z x = self.cpe(x, size) 2025-09-07T10:28:08.9195652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9195958Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9196082Z 2025-09-07T10:28:08.9196184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9196528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9196837Z return mod(*inputs) 2025-09-07T10:28:08.9197116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9197424Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9197747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9198070Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9198345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9198643Z x = self.cpe(x, size) 2025-09-07T10:28:08.9198930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9199231Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9199341Z 2025-09-07T10:28:08.9199441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9199785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9200093Z return mod(*inputs) 2025-09-07T10:28:08.9200369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9200679Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9200999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9201326Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9201615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9201910Z x = self.cpe(x, size) 2025-09-07T10:28:08.9202182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9202486Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9202604Z 2025-09-07T10:28:08.9202681Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9202889Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9203106Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9203447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9203755Z return mod(*inputs) 2025-09-07T10:28:08.9204046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9204342Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9204656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9204969Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9205233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9205515Z x = self.cpe(x, size) 2025-09-07T10:28:08.9205782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T10:28:08.9206077Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T10:28:08.9206195Z 2025-09-07T10:28:08.9206272Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9206472Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9206708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9207048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9207346Z return mod(*inputs) 2025-09-07T10:28:08.9207604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9207896Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9208216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9208529Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9208808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9209095Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9209386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9209678Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9209789Z 2025-09-07T10:28:08.9209890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9210219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9210515Z return mod(*inputs) 2025-09-07T10:28:08.9210782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9211075Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9211389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9211697Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9211970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9212265Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9212559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9212845Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9212962Z 2025-09-07T10:28:08.9213061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9213393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9213686Z return mod(*inputs) 2025-09-07T10:28:08.9213948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9214234Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9214551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9214871Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9215146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9215442Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9215746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9216042Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9216719Z 2025-09-07T10:28:08.9216836Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9217185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9217490Z return mod(*inputs) 2025-09-07T10:28:08.9217774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9218087Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9218416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9218736Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9219027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9219353Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9219674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9219982Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9220096Z 2025-09-07T10:28:08.9220192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9220526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9220828Z return mod(*inputs) 2025-09-07T10:28:08.9221100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9221391Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9221708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9222029Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9222308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9222614Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9222910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9223231Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9223377Z 2025-09-07T10:28:08.9223474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9223807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9224102Z return mod(*inputs) 2025-09-07T10:28:08.9224372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9224669Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9224989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9225308Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9225579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9225881Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9226180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9226497Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9226635Z 2025-09-07T10:28:08.9226732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9227063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9227365Z return mod(*inputs) 2025-09-07T10:28:08.9227637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9227932Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9228249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9228573Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9228868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9229172Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9229463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9229759Z factor_att = q @ factor_att 2025-09-07T10:28:08.9229873Z 2025-09-07T10:28:08.9229975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9230314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9230618Z return mod(*inputs) 2025-09-07T10:28:08.9230880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9231175Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9231493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9231841Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9232127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9232426Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9232724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9233014Z factor_att = q @ factor_att 2025-09-07T10:28:08.9233119Z 2025-09-07T10:28:08.9233224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9233551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9233855Z return mod(*inputs) 2025-09-07T10:28:08.9234126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9234425Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9234746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9235068Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9235347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9235646Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9235944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9236255Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9236571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9236886Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9237020Z 2025-09-07T10:28:08.9237125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9237455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9237753Z return mod(*inputs) 2025-09-07T10:28:08.9238027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9238327Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9238648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9238959Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9239242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9239544Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9239841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9240153Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9240465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9240780Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9240915Z 2025-09-07T10:28:08.9241019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9241369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9241669Z return mod(*inputs) 2025-09-07T10:28:08.9241942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9242240Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9242562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9242884Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9243157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9243460Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9243761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9244114Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9244437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9244754Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9244896Z 2025-09-07T10:28:08.9244994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9245327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9245630Z return mod(*inputs) 2025-09-07T10:28:08.9245897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9246200Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9246521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9246847Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9247123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9247430Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9247729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9248047Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9248364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9248667Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9248809Z 2025-09-07T10:28:08.9248971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9249308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9249617Z return mod(*inputs) 2025-09-07T10:28:08.9249883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9250190Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9250513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9250833Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9251114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9251413Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9251715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9252035Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9252354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9252657Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9252800Z 2025-09-07T10:28:08.9252899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9253239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9253577Z return mod(*inputs) 2025-09-07T10:28:08.9253853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9254146Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9254467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9254785Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9255067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9255358Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9255657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9255970Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9256338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9256672Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9256806Z 2025-09-07T10:28:08.9256886Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9257087Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9257290Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9257514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9257844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9258155Z return mod(*inputs) 2025-09-07T10:28:08.9258433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9258735Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9259058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9259380Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9259664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9259970Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9260266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9260580Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9260895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T10:28:08.9261209Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T10:28:08.9261346Z 2025-09-07T10:28:08.9261455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9261793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9262092Z return mod(*inputs) 2025-09-07T10:28:08.9262371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9262678Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9263007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-09-07T10:28:08.9263324Z x1 = blk(x1, size=(H1, W1)) 2025-09-07T10:28:08.9263598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9263904Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9264201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T10:28:08.9264561Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T10:28:08.9264742Z 2025-09-07T10:28:08.9264817Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9265020Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9265219Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9265418Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9265602Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9265814Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9266037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9266372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9266681Z return mod(*inputs) 2025-09-07T10:28:08.9266947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9267246Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9267567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-09-07T10:28:08.9267892Z x2 = self.patch_embed2(x1_nocls) 2025-09-07T10:28:08.9268201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9268556Z x = self.proj(x) 2025-09-07T10:28:08.9268662Z 2025-09-07T10:28:08.9268760Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9269115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9269419Z return mod(*inputs) 2025-09-07T10:28:08.9269696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9269999Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9270317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-09-07T10:28:08.9270644Z x2 = self.patch_embed2(x1_nocls) 2025-09-07T10:28:08.9270960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9271271Z x = self.proj(x) 2025-09-07T10:28:08.9271369Z 2025-09-07T10:28:08.9271469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9271811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9272121Z return mod(*inputs) 2025-09-07T10:28:08.9272393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9272698Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9273009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-09-07T10:28:08.9273331Z x2 = self.patch_embed2(x1_nocls) 2025-09-07T10:28:08.9273643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9273952Z x = self.proj(x) 2025-09-07T10:28:08.9274043Z 2025-09-07T10:28:08.9274141Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9274483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9274786Z return mod(*inputs) 2025-09-07T10:28:08.9275058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9275356Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9275670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-09-07T10:28:08.9275990Z x2 = self.patch_embed2(x1_nocls) 2025-09-07T10:28:08.9276304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-09-07T10:28:08.9276610Z x = self.norm(x) 2025-09-07T10:28:08.9276700Z 2025-09-07T10:28:08.9276796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9277128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9277431Z return mod(*inputs) 2025-09-07T10:28:08.9277699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9278004Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9278333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 583, in forward_features 2025-09-07T10:28:08.9278658Z x2 = insert_cls(x2, self.cls_token2) 2025-09-07T10:28:08.9278966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-09-07T10:28:08.9279280Z x = torch.cat((cls_tokens, x), dim=1) 2025-09-07T10:28:08.9279405Z 2025-09-07T10:28:08.9279505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9279841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9280149Z return mod(*inputs) 2025-09-07T10:28:08.9280423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9280727Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9281076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9281415Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9281704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9282000Z x = self.cpe(x, size) 2025-09-07T10:28:08.9282273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9282569Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9282689Z 2025-09-07T10:28:08.9282787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9283130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9283436Z return mod(*inputs) 2025-09-07T10:28:08.9283703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9284006Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9284330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9284652Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9284929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9285227Z x = self.cpe(x, size) 2025-09-07T10:28:08.9285504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9285802Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9285910Z 2025-09-07T10:28:08.9286018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9286352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9286657Z return mod(*inputs) 2025-09-07T10:28:08.9286931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9287235Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9287549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9287870Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9288148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9288440Z x = self.cpe(x, size) 2025-09-07T10:28:08.9288709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9289002Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9289119Z 2025-09-07T10:28:08.9289194Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9289395Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9289615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9289943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9290249Z return mod(*inputs) 2025-09-07T10:28:08.9290534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9290832Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9291140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9291456Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9291728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9292017Z x = self.cpe(x, size) 2025-09-07T10:28:08.9292290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T10:28:08.9292578Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T10:28:08.9292699Z 2025-09-07T10:28:08.9292769Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9292957Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9293204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9293543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9293845Z return mod(*inputs) 2025-09-07T10:28:08.9294112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9294406Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9294722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9295040Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9295319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9295619Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9295916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9296205Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9296327Z 2025-09-07T10:28:08.9296425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9296751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9297039Z return mod(*inputs) 2025-09-07T10:28:08.9297292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9297588Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9297906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9298222Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9298502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9298797Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9299104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9299396Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9299506Z 2025-09-07T10:28:08.9299613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9299943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9300235Z return mod(*inputs) 2025-09-07T10:28:08.9300503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9300798Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9301111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9301417Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9301689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9301986Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9302278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9302574Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9302715Z 2025-09-07T10:28:08.9302812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9303146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9303443Z return mod(*inputs) 2025-09-07T10:28:08.9303704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9303992Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9304309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9304627Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9304902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9305210Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9305530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9305838Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9305952Z 2025-09-07T10:28:08.9306057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9306396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9306694Z return mod(*inputs) 2025-09-07T10:28:08.9306962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9307260Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9307575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9307891Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9308166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9308474Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9308776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9309091Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9309234Z 2025-09-07T10:28:08.9309329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9309662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9309968Z return mod(*inputs) 2025-09-07T10:28:08.9310234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9310528Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9310840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9311159Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9311443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9311745Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9312034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9312352Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9312496Z 2025-09-07T10:28:08.9312592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9312925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9313226Z return mod(*inputs) 2025-09-07T10:28:08.9313491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9313789Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9314100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9314416Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9314685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9315001Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9315300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9315589Z factor_att = q @ factor_att 2025-09-07T10:28:08.9315693Z 2025-09-07T10:28:08.9315797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9316124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9316425Z return mod(*inputs) 2025-09-07T10:28:08.9316695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9316987Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9317292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9317633Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9317925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9318224Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9318518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9318795Z factor_att = q @ factor_att 2025-09-07T10:28:08.9318906Z 2025-09-07T10:28:08.9319001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9319329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9319623Z return mod(*inputs) 2025-09-07T10:28:08.9319883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9320177Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9320494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9320814Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9321093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9321384Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9321685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9321996Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9322314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9322619Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9322763Z 2025-09-07T10:28:08.9322859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9323195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9323507Z return mod(*inputs) 2025-09-07T10:28:08.9323778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9324069Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9324389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9324705Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9324987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9325280Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9325575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9325889Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9326201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9326511Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9326644Z 2025-09-07T10:28:08.9326744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9327097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9327399Z return mod(*inputs) 2025-09-07T10:28:08.9327671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9327961Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9328279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9328594Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9328872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9329172Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9329461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9329828Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9330161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9330473Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9330605Z 2025-09-07T10:28:08.9330702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9331038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9331339Z return mod(*inputs) 2025-09-07T10:28:08.9331616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9331915Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9332229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9332552Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9332839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9333142Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9333434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9333748Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9334063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9334374Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9334505Z 2025-09-07T10:28:08.9334609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9334941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9335248Z return mod(*inputs) 2025-09-07T10:28:08.9335516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9335817Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9336132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9336455Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9336738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9337040Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9337342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9337650Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9337966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9338277Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9338409Z 2025-09-07T10:28:08.9338516Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9338851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9339164Z return mod(*inputs) 2025-09-07T10:28:08.9339435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9339738Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9340057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9340365Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9340650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9340950Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9341249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9341563Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9341889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9342244Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9342380Z 2025-09-07T10:28:08.9342466Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9342667Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9342860Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9343083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9343415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9343719Z return mod(*inputs) 2025-09-07T10:28:08.9343982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9344282Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9344599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9344919Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9345199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9345493Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9345790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9346102Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9346414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T10:28:08.9346721Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T10:28:08.9346866Z 2025-09-07T10:28:08.9346964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9347302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9347610Z return mod(*inputs) 2025-09-07T10:28:08.9347883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9348178Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9348498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9348816Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9349136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9349433Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9349738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T10:28:08.9350106Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T10:28:08.9350289Z 2025-09-07T10:28:08.9350376Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9350582Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9350774Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9350979Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9351185Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9351416Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9351634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9351976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9352284Z return mod(*inputs) 2025-09-07T10:28:08.9352559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9352854Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9353178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9353500Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9353785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9354103Z x = self.cpe(x, size) 2025-09-07T10:28:08.9354401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9354718Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9354841Z 2025-09-07T10:28:08.9354938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9355280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9355577Z return mod(*inputs) 2025-09-07T10:28:08.9355850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9356159Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9356480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9356801Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9357080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9357378Z x = self.cpe(x, size) 2025-09-07T10:28:08.9357658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9357959Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9358070Z 2025-09-07T10:28:08.9358168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9358500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9358802Z return mod(*inputs) 2025-09-07T10:28:08.9359071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9359368Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9359674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9359997Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9360277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9360572Z x = self.cpe(x, size) 2025-09-07T10:28:08.9360845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9361145Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9361262Z 2025-09-07T10:28:08.9361337Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9361539Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9361766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9362094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9362398Z return mod(*inputs) 2025-09-07T10:28:08.9362669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9362974Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9363287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9363615Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9363920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9364218Z x = self.cpe(x, size) 2025-09-07T10:28:08.9364490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T10:28:08.9364779Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T10:28:08.9364906Z 2025-09-07T10:28:08.9364979Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9365177Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9365400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9365724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9366028Z return mod(*inputs) 2025-09-07T10:28:08.9366299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9366630Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9366955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9367277Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9367559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9367861Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9368159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9368445Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9368567Z 2025-09-07T10:28:08.9368665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9368997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9369299Z return mod(*inputs) 2025-09-07T10:28:08.9369564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9369867Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9370189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9370506Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9370788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9371082Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9371380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9371675Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9371786Z 2025-09-07T10:28:08.9371893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9372217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9372521Z return mod(*inputs) 2025-09-07T10:28:08.9372795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9373097Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9373416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9373726Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9374006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9374311Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9374608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9374896Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9375013Z 2025-09-07T10:28:08.9375112Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9375444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9375751Z return mod(*inputs) 2025-09-07T10:28:08.9376043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9376334Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9376652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9377014Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9377382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9377684Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9377986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9378284Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9378396Z 2025-09-07T10:28:08.9378502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9378858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9379171Z return mod(*inputs) 2025-09-07T10:28:08.9379462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9379765Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9380087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9380398Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9380681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9380987Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9381288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9381609Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9381749Z 2025-09-07T10:28:08.9381851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9382193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9382501Z return mod(*inputs) 2025-09-07T10:28:08.9382774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9383065Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9383388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9383707Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9383987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9384287Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9384582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9384898Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9385045Z 2025-09-07T10:28:08.9385142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9385482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9385785Z return mod(*inputs) 2025-09-07T10:28:08.9386051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9386349Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9386670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9386988Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9387260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9387565Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9387937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9388293Z factor_att = q @ factor_att 2025-09-07T10:28:08.9388399Z 2025-09-07T10:28:08.9388526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9388860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9389173Z return mod(*inputs) 2025-09-07T10:28:08.9389453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9389760Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9390078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9390402Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9390688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9390999Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9391299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9391643Z factor_att = q @ factor_att 2025-09-07T10:28:08.9391756Z 2025-09-07T10:28:08.9391867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9392206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9392506Z return mod(*inputs) 2025-09-07T10:28:08.9392771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9393069Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9393388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9393705Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9393982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9394282Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9394586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9394911Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9395233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9395543Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9395687Z 2025-09-07T10:28:08.9395786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9396122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9396428Z return mod(*inputs) 2025-09-07T10:28:08.9396698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9396991Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9397309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9397711Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9398035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9398332Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9398635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9399008Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9399323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9399630Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9399761Z 2025-09-07T10:28:08.9399859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9400190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9400494Z return mod(*inputs) 2025-09-07T10:28:08.9400766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9401080Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9401405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9401726Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9402009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9402313Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9402606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9402928Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9403246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9403556Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9403703Z 2025-09-07T10:28:08.9403820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9404171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9404477Z return mod(*inputs) 2025-09-07T10:28:08.9404754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9405055Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9405367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9405689Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9405975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9406276Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9406570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9406892Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9407210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9407523Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9407657Z 2025-09-07T10:28:08.9407762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9408091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9408162Z return mod(*inputs) 2025-09-07T10:28:08.9408334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9408412Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9408608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9408673Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9408853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9408928Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9409108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9409197Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9409368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9409457Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9409461Z 2025-09-07T10:28:08.9409558Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9409750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9409813Z return mod(*inputs) 2025-09-07T10:28:08.9409991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9410065Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9410263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9410354Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9410523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9410599Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9410770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9410857Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9411036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9411117Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9411120Z 2025-09-07T10:28:08.9411201Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9411276Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9411381Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9411488Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9411682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9411751Z return mod(*inputs) 2025-09-07T10:28:08.9411922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9411994Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9412199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9412262Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9412440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9412511Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9412682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9412780Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9412954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T10:28:08.9413052Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T10:28:08.9413055Z 2025-09-07T10:28:08.9413153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9413345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9413409Z return mod(*inputs) 2025-09-07T10:28:08.9413576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9413653Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9413849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-09-07T10:28:08.9413921Z x2 = blk(x2, size=(H2, W2)) 2025-09-07T10:28:08.9414095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9414171Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9414346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T10:28:08.9414477Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T10:28:08.9414480Z 2025-09-07T10:28:08.9414561Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9414634Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9414707Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9414786Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9414858Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9414938Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9415034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9415217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9415292Z return mod(*inputs) 2025-09-07T10:28:08.9415478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9415559Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9415755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-09-07T10:28:08.9415827Z x3 = self.patch_embed3(x2_nocls) 2025-09-07T10:28:08.9416028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9416091Z x = self.proj(x) 2025-09-07T10:28:08.9416094Z 2025-09-07T10:28:08.9416198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9416383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9416454Z return mod(*inputs) 2025-09-07T10:28:08.9416641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9416725Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9416952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-09-07T10:28:08.9417024Z x3 = self.patch_embed3(x2_nocls) 2025-09-07T10:28:08.9417223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9417286Z x = self.proj(x) 2025-09-07T10:28:08.9417289Z 2025-09-07T10:28:08.9417383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9417568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9417629Z return mod(*inputs) 2025-09-07T10:28:08.9417807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9417878Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9418072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-09-07T10:28:08.9418152Z x3 = self.patch_embed3(x2_nocls) 2025-09-07T10:28:08.9418342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9418412Z x = self.proj(x) 2025-09-07T10:28:08.9418415Z 2025-09-07T10:28:08.9418510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9418689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9418758Z return mod(*inputs) 2025-09-07T10:28:08.9418930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9419009Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9419202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-09-07T10:28:08.9419281Z x3 = self.patch_embed3(x2_nocls) 2025-09-07T10:28:08.9419476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-09-07T10:28:08.9419538Z x = self.norm(x) 2025-09-07T10:28:08.9419541Z 2025-09-07T10:28:08.9419645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9419827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9419898Z return mod(*inputs) 2025-09-07T10:28:08.9420064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9420133Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9420331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 591, in forward_features 2025-09-07T10:28:08.9420402Z x3 = insert_cls(x3, self.cls_token3) 2025-09-07T10:28:08.9420591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-09-07T10:28:08.9420665Z x = torch.cat((cls_tokens, x), dim=1) 2025-09-07T10:28:08.9420683Z 2025-09-07T10:28:08.9420780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9420968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9421028Z return mod(*inputs) 2025-09-07T10:28:08.9421204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9421273Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9421468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9421543Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9421711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9421810Z x = self.cpe(x, size) 2025-09-07T10:28:08.9421994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9422091Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9422094Z 2025-09-07T10:28:08.9422191Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9422372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9422441Z return mod(*inputs) 2025-09-07T10:28:08.9422607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9422682Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9422875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9422940Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9423118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9423187Z x = self.cpe(x, size) 2025-09-07T10:28:08.9423363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9423430Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9423433Z 2025-09-07T10:28:08.9423530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9423717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9423778Z return mod(*inputs) 2025-09-07T10:28:08.9423954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9424022Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9424216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9424289Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9424457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9424532Z x = self.cpe(x, size) 2025-09-07T10:28:08.9424703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9424775Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9424778Z 2025-09-07T10:28:08.9424853Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9424926Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9425029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9425213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9425282Z return mod(*inputs) 2025-09-07T10:28:08.9425450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9425520Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9425726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9425794Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9425988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9426055Z x = self.cpe(x, size) 2025-09-07T10:28:08.9426224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T10:28:08.9426304Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T10:28:08.9426307Z 2025-09-07T10:28:08.9426381Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9426460Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9426558Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9426737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9426807Z return mod(*inputs) 2025-09-07T10:28:08.9426976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9427083Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9427296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9427361Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9427539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9427612Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9427788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9427857Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9427860Z 2025-09-07T10:28:08.9427971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9428154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9428215Z return mod(*inputs) 2025-09-07T10:28:08.9428398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9428469Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9428677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9428741Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9428907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9428988Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9429155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9429229Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9429232Z 2025-09-07T10:28:08.9429325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9429504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9429575Z return mod(*inputs) 2025-09-07T10:28:08.9429745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9429821Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9430019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9430082Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9430257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9430330Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9430504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9430572Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9430575Z 2025-09-07T10:28:08.9430679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9430864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9430929Z return mod(*inputs) 2025-09-07T10:28:08.9431126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9431196Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9431400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9431466Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9431635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9431716Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9431884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9431958Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9431961Z 2025-09-07T10:28:08.9432056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9432254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9432362Z return mod(*inputs) 2025-09-07T10:28:08.9432548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9432625Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9432819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9432882Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9433061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9433132Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9433311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9433402Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9433406Z 2025-09-07T10:28:08.9433509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9433691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9433752Z return mod(*inputs) 2025-09-07T10:28:08.9433930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9434000Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9434206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9434269Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9434439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9434519Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9434689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9434788Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9434794Z 2025-09-07T10:28:08.9434891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9435077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9435152Z return mod(*inputs) 2025-09-07T10:28:08.9435321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9435396Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9435592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9435664Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9435834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9435907Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9436085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9436152Z factor_att = q @ factor_att 2025-09-07T10:28:08.9436155Z 2025-09-07T10:28:08.9436261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9436456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9436520Z return mod(*inputs) 2025-09-07T10:28:08.9436700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9436769Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9436969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9437035Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9437205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9437288Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9437457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9437560Z factor_att = q @ factor_att 2025-09-07T10:28:08.9437563Z 2025-09-07T10:28:08.9437675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9437856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9437926Z return mod(*inputs) 2025-09-07T10:28:08.9438095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9438172Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9438370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9438437Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9438605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9438676Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9438855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9438948Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9439125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9439209Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9439212Z 2025-09-07T10:28:08.9439309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9439499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9439559Z return mod(*inputs) 2025-09-07T10:28:08.9439733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9439801Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9439998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9440074Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9440244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9440323Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9440489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9440576Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9440753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9440834Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9440837Z 2025-09-07T10:28:08.9440938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9441119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9441189Z return mod(*inputs) 2025-09-07T10:28:08.9441361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9441432Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9441665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9441732Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9441909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9441982Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9442152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9442248Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9442419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9442510Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9442528Z 2025-09-07T10:28:08.9442641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9442838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9442908Z return mod(*inputs) 2025-09-07T10:28:08.9443078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9443154Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9443348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9443421Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9443589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9443662Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9443838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9443924Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9444105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9444188Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9444191Z 2025-09-07T10:28:08.9444285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9444475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9444535Z return mod(*inputs) 2025-09-07T10:28:08.9444710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9444778Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9444973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9445043Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9445212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9445294Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9445467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9445553Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9445729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9445810Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9445813Z 2025-09-07T10:28:08.9445917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9446099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9446168Z return mod(*inputs) 2025-09-07T10:28:08.9446338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9446409Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9446616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9446696Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9446875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9446946Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9447115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9447209Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9447376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9447466Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9447469Z 2025-09-07T10:28:08.9447546Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9447623Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9447718Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9447830Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9448034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9448099Z return mod(*inputs) 2025-09-07T10:28:08.9448265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9448344Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9448542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9448614Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9448787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9448928Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9449106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9449200Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9449383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T10:28:08.9449474Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T10:28:08.9449477Z 2025-09-07T10:28:08.9449582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9449769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9449832Z return mod(*inputs) 2025-09-07T10:28:08.9450013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9450087Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9450303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9450369Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9450542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9450631Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9450808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T10:28:08.9450956Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T10:28:08.9450959Z 2025-09-07T10:28:08.9451037Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9451122Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9451196Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9451269Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9451349Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9451423Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9451521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9451713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9451778Z return mod(*inputs) 2025-09-07T10:28:08.9451989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9452063Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9452275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9452341Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9452516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9452593Z x = self.cpe(x, size) 2025-09-07T10:28:08.9452767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9452843Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9452846Z 2025-09-07T10:28:08.9452944Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9453154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9453246Z return mod(*inputs) 2025-09-07T10:28:08.9453443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9453526Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9453729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9453794Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9453977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9454041Z x = self.cpe(x, size) 2025-09-07T10:28:08.9454224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9454293Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9454296Z 2025-09-07T10:28:08.9454392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9454587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9454654Z return mod(*inputs) 2025-09-07T10:28:08.9454833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9454903Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9455109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9455174Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9455346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9455417Z x = self.cpe(x, size) 2025-09-07T10:28:08.9455589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9455662Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9455665Z 2025-09-07T10:28:08.9455741Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9455815Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9455920Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9456101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9456169Z return mod(*inputs) 2025-09-07T10:28:08.9456340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9456410Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9456618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9456682Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9456862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9456926Z x = self.cpe(x, size) 2025-09-07T10:28:08.9457097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T10:28:08.9457179Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T10:28:08.9457182Z 2025-09-07T10:28:08.9457270Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9457351Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9457447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9457632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9457705Z return mod(*inputs) 2025-09-07T10:28:08.9457876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9457956Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9458154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9458218Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9458399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9458501Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9458702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9458773Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9458776Z 2025-09-07T10:28:08.9458884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9459069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9459133Z return mod(*inputs) 2025-09-07T10:28:08.9459314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9459385Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9459594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9459659Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9459834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9459919Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9460090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9460166Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9460169Z 2025-09-07T10:28:08.9460270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9460456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9460529Z return mod(*inputs) 2025-09-07T10:28:08.9460702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9460781Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9460983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9461063Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9461239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9461316Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9461499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9461567Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9461570Z 2025-09-07T10:28:08.9461677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9461862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9461924Z return mod(*inputs) 2025-09-07T10:28:08.9462101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9462173Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9462382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9462448Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9462638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9462721Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9462890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9462965Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9462968Z 2025-09-07T10:28:08.9463067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9463262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9463329Z return mod(*inputs) 2025-09-07T10:28:08.9463495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9463573Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9463781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9463882Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9464050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9464120Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9464295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9464388Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9464391Z 2025-09-07T10:28:08.9464494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9464671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9464732Z return mod(*inputs) 2025-09-07T10:28:08.9464907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9464978Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9465182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9465245Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9465411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9465490Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9465657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9465752Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9465755Z 2025-09-07T10:28:08.9465849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9466033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9466094Z return mod(*inputs) 2025-09-07T10:28:08.9466257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9466337Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9466536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9466606Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9466773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9466845Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9467018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9467083Z factor_att = q @ factor_att 2025-09-07T10:28:08.9467086Z 2025-09-07T10:28:08.9467190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9467369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9467430Z return mod(*inputs) 2025-09-07T10:28:08.9467605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9467688Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9467892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9467956Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9468122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9468202Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9468368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9468438Z factor_att = q @ factor_att 2025-09-07T10:28:08.9468441Z 2025-09-07T10:28:08.9468536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9468720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9468811Z return mod(*inputs) 2025-09-07T10:28:08.9468997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9469076Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9469272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9469344Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9469509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9469582Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9469755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9469843Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9470019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9470105Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9470109Z 2025-09-07T10:28:08.9470205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9470397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9470459Z return mod(*inputs) 2025-09-07T10:28:08.9470632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9470701Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9470893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9470966Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9471132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9471210Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9471376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9471475Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9471646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9471728Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9471731Z 2025-09-07T10:28:08.9471833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9472013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9472083Z return mod(*inputs) 2025-09-07T10:28:08.9472247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9472317Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9472520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9472587Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9472761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9472851Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9473020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9473113Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9473281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9473378Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9473381Z 2025-09-07T10:28:08.9473476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9473665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9473727Z return mod(*inputs) 2025-09-07T10:28:08.9473897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9474010Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9474225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9474298Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9474465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9474537Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9474715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9474800Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9474978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9475058Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9475060Z 2025-09-07T10:28:08.9475155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9475350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9475414Z return mod(*inputs) 2025-09-07T10:28:08.9475592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9475661Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9475858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9475931Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9476100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9476181Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9476351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9476442Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9476615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9476697Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9476700Z 2025-09-07T10:28:08.9476802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9476985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9477052Z return mod(*inputs) 2025-09-07T10:28:08.9477220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9477291Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9477495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9477559Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9477737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9477811Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9477994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9478089Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9478258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9478348Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9478351Z 2025-09-07T10:28:08.9478425Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9478498Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9478577Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9478671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9478857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9478919Z return mod(*inputs) 2025-09-07T10:28:08.9479113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9479203Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9479416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9479488Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9479652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9479730Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9479900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9479986Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9480160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T10:28:08.9480247Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T10:28:08.9480252Z 2025-09-07T10:28:08.9480357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9480540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9480605Z return mod(*inputs) 2025-09-07T10:28:08.9480781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9480852Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9481051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-09-07T10:28:08.9481114Z x3 = blk(x3, size=(H3, W3)) 2025-09-07T10:28:08.9481283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9481362Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9481530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T10:28:08.9481670Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T10:28:08.9481674Z 2025-09-07T10:28:08.9481750Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9481833Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9481905Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9481974Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9482052Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9482124Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9482229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9482410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9482473Z return mod(*inputs) 2025-09-07T10:28:08.9482651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9482719Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9482924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-09-07T10:28:08.9482995Z x4 = self.patch_embed4(x3_nocls) 2025-09-07T10:28:08.9483219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9483290Z x = self.proj(x) 2025-09-07T10:28:08.9483293Z 2025-09-07T10:28:08.9483390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9483576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9483637Z return mod(*inputs) 2025-09-07T10:28:08.9483806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9483883Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9484077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-09-07T10:28:08.9484169Z x4 = self.patch_embed4(x3_nocls) 2025-09-07T10:28:08.9484374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9484452Z x = self.proj(x) 2025-09-07T10:28:08.9484463Z 2025-09-07T10:28:08.9484559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9484739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9484810Z return mod(*inputs) 2025-09-07T10:28:08.9484980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9485054Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9485248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-09-07T10:28:08.9485316Z x4 = self.patch_embed4(x3_nocls) 2025-09-07T10:28:08.9485513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T10:28:08.9485576Z x = self.proj(x) 2025-09-07T10:28:08.9485579Z 2025-09-07T10:28:08.9485680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9485861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9485924Z return mod(*inputs) 2025-09-07T10:28:08.9486099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9486169Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9486368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-09-07T10:28:08.9486434Z x4 = self.patch_embed4(x3_nocls) 2025-09-07T10:28:08.9486623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-09-07T10:28:08.9486691Z x = self.norm(x) 2025-09-07T10:28:08.9486694Z 2025-09-07T10:28:08.9486791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9486980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9487044Z return mod(*inputs) 2025-09-07T10:28:08.9487213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9487291Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9487482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 599, in forward_features 2025-09-07T10:28:08.9487559Z x4 = insert_cls(x4, self.cls_token4) 2025-09-07T10:28:08.9487740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-09-07T10:28:08.9487821Z x = torch.cat((cls_tokens, x), dim=1) 2025-09-07T10:28:08.9487825Z 2025-09-07T10:28:08.9487921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9488103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9488176Z return mod(*inputs) 2025-09-07T10:28:08.9488361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9488439Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9488631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9488693Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9488871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9488935Z x = self.cpe(x, size) 2025-09-07T10:28:08.9489113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9489180Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9489183Z 2025-09-07T10:28:08.9489277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9489480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9489556Z return mod(*inputs) 2025-09-07T10:28:08.9489746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9489815Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9490011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9490086Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9490254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9490326Z x = self.cpe(x, size) 2025-09-07T10:28:08.9490493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9490568Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9490571Z 2025-09-07T10:28:08.9490665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9490849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9490921Z return mod(*inputs) 2025-09-07T10:28:08.9491092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9491170Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9491364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9491429Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9491603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9491666Z x = self.cpe(x, size) 2025-09-07T10:28:08.9491843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9491908Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9491911Z 2025-09-07T10:28:08.9491987Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9492073Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9492173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9492362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9492422Z return mod(*inputs) 2025-09-07T10:28:08.9492592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9492670Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9492866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9492939Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9493109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9493173Z x = self.cpe(x, size) 2025-09-07T10:28:08.9493352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T10:28:08.9493427Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T10:28:08.9493430Z 2025-09-07T10:28:08.9493531Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9493605Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9493710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9493891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9493952Z return mod(*inputs) 2025-09-07T10:28:08.9494128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9494197Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9494400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9494465Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9494634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9494747Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9494932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9495007Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9495010Z 2025-09-07T10:28:08.9495106Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9495285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9495354Z return mod(*inputs) 2025-09-07T10:28:08.9495521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9495598Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9495792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9495856Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9496036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9496110Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9496289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9496355Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9496358Z 2025-09-07T10:28:08.9496461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9496644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9496705Z return mod(*inputs) 2025-09-07T10:28:08.9496880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9496948Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9497151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9497218Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9497390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9497472Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9497638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9497712Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9497715Z 2025-09-07T10:28:08.9497809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9497988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9498057Z return mod(*inputs) 2025-09-07T10:28:08.9498225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9498301Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9498496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9498563Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9498754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9498829Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9499005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9499071Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9499073Z 2025-09-07T10:28:08.9499175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9499359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9499441Z return mod(*inputs) 2025-09-07T10:28:08.9499663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9499732Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9499964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9500044Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9500227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9500308Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9500476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9500570Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9500574Z 2025-09-07T10:28:08.9500668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9500848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9500916Z return mod(*inputs) 2025-09-07T10:28:08.9501086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9501162Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9501362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9501425Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9501601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9501673Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9501846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9501933Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9501936Z 2025-09-07T10:28:08.9502033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9502213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9502273Z return mod(*inputs) 2025-09-07T10:28:08.9502445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9502515Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9502720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9502782Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9502948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9503029Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9503194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9503266Z factor_att = q @ factor_att 2025-09-07T10:28:08.9503269Z 2025-09-07T10:28:08.9503364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9503543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9503613Z return mod(*inputs) 2025-09-07T10:28:08.9503783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9503877Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9504072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9504143Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9504309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9504381Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9504554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9504620Z factor_att = q @ factor_att 2025-09-07T10:28:08.9504623Z 2025-09-07T10:28:08.9504725Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9504906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9504999Z return mod(*inputs) 2025-09-07T10:28:08.9505177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9505260Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9505469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9505532Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9505701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9505783Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9505949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9506047Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9506215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9506302Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9506316Z 2025-09-07T10:28:08.9506411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9506596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9506669Z return mod(*inputs) 2025-09-07T10:28:08.9506835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9506913Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9507106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9507168Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9507342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9507414Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9507587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9507677Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9507847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9507942Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9507945Z 2025-09-07T10:28:08.9508042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9508228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9508290Z return mod(*inputs) 2025-09-07T10:28:08.9508454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9508533Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9508727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9508799Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9508970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9509068Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9509237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9509328Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9509513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9509598Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9509601Z 2025-09-07T10:28:08.9509708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9509894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9509960Z return mod(*inputs) 2025-09-07T10:28:08.9510199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9510306Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9510528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9510592Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9510762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9510843Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9511011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9511102Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9511271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9511349Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9511360Z 2025-09-07T10:28:08.9511456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9511640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9511715Z return mod(*inputs) 2025-09-07T10:28:08.9511884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9511961Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9512157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9512220Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9512396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9512468Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9512641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9512726Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9512897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9512989Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9512993Z 2025-09-07T10:28:08.9513087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9513279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9513339Z return mod(*inputs) 2025-09-07T10:28:08.9513505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9513582Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9513780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9513851Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9514023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9514102Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9514287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9514376Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9514553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9514634Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9514637Z 2025-09-07T10:28:08.9514721Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9514794Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9514866Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9514974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9515156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9515226Z return mod(*inputs) 2025-09-07T10:28:08.9515397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9515498Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9515720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9515785Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9515957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9516028Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9516198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9516292Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9516458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T10:28:08.9516555Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T10:28:08.9516558Z 2025-09-07T10:28:08.9516657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9516852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9516914Z return mod(*inputs) 2025-09-07T10:28:08.9517081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9517158Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9517351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9517423Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9517600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9517673Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9517848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T10:28:08.9517979Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T10:28:08.9517984Z 2025-09-07T10:28:08.9518065Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9518140Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9518219Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9518297Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9518367Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9518445Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9518540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9518723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9518794Z return mod(*inputs) 2025-09-07T10:28:08.9518961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9519038Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9519233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9519298Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9519499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9519568Z x = self.cpe(x, size) 2025-09-07T10:28:08.9519746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9519814Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9519817Z 2025-09-07T10:28:08.9519911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9520101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9520162Z return mod(*inputs) 2025-09-07T10:28:08.9520335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9520406Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9520626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9520708Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9520891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9520965Z x = self.cpe(x, size) 2025-09-07T10:28:08.9521138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9521212Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9521215Z 2025-09-07T10:28:08.9521311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9521492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9521563Z return mod(*inputs) 2025-09-07T10:28:08.9521733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9521808Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9522004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9522068Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9522248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9522310Z x = self.cpe(x, size) 2025-09-07T10:28:08.9522486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-09-07T10:28:08.9522552Z x = self.proj(feat) + feat 2025-09-07T10:28:08.9522555Z 2025-09-07T10:28:08.9522631Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9522713Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9522808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9522994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9523058Z return mod(*inputs) 2025-09-07T10:28:08.9523229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9523308Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9523503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9523572Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9523743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-09-07T10:28:08.9523814Z x = self.cpe(x, size) 2025-09-07T10:28:08.9523983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-09-07T10:28:08.9524054Z x = torch.cat((cls_token, x), dim=1) 2025-09-07T10:28:08.9524057Z 2025-09-07T10:28:08.9524134Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9524205Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9524308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9524490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9524568Z return mod(*inputs) 2025-09-07T10:28:08.9524744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9524812Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9525013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9525077Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9525245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9525326Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9525494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9525568Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9525586Z 2025-09-07T10:28:08.9525698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9525892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9525964Z return mod(*inputs) 2025-09-07T10:28:08.9526133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9526210Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9526407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9526472Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9526649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9526722Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9526898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9526966Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9526970Z 2025-09-07T10:28:08.9527074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9527257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9527320Z return mod(*inputs) 2025-09-07T10:28:08.9527492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9527561Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9527765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9527829Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9527996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9528075Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9528243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9528322Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9528324Z 2025-09-07T10:28:08.9528423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9528606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9528675Z return mod(*inputs) 2025-09-07T10:28:08.9528845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9528923Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9529115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9529185Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9529355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9529426Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9529603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-09-07T10:28:08.9529670Z k_softmax = k.softmax(dim=2) 2025-09-07T10:28:08.9529687Z 2025-09-07T10:28:08.9529793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9529973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9530034Z return mod(*inputs) 2025-09-07T10:28:08.9530210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9530279Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9530482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9530546Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9530716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9530794Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9530994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9531107Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9531111Z 2025-09-07T10:28:08.9531209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9531391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9531462Z return mod(*inputs) 2025-09-07T10:28:08.9531628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9531704Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9531896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9531967Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9532133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9532207Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9532385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-09-07T10:28:08.9532474Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-09-07T10:28:08.9532477Z 2025-09-07T10:28:08.9532579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9532759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9532820Z return mod(*inputs) 2025-09-07T10:28:08.9532996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9533064Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9533265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9533326Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9533496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9533576Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9533746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9533818Z factor_att = q @ factor_att 2025-09-07T10:28:08.9533821Z 2025-09-07T10:28:08.9533915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9534102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9534164Z return mod(*inputs) 2025-09-07T10:28:08.9534333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9534411Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9534605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9534676Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9534845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9534931Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9535107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-09-07T10:28:08.9535171Z factor_att = q @ factor_att 2025-09-07T10:28:08.9535174Z 2025-09-07T10:28:08.9535276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9535456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9535517Z return mod(*inputs) 2025-09-07T10:28:08.9535692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9535759Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9535962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9536057Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9536248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9536329Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9536494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9536589Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9536759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9536843Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9536853Z 2025-09-07T10:28:08.9536949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9537129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9537199Z return mod(*inputs) 2025-09-07T10:28:08.9537368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9537446Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9537643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9537707Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9537882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9537953Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9538131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9538218Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9538386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9538475Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9538479Z 2025-09-07T10:28:08.9538576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9538768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9538831Z return mod(*inputs) 2025-09-07T10:28:08.9538998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9539075Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9539268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9539341Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9539509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9539587Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9539757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9539845Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9540037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9540119Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9540122Z 2025-09-07T10:28:08.9540226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9540407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9540471Z return mod(*inputs) 2025-09-07T10:28:08.9540649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9540718Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9540918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9540979Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9541148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9541258Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9541441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9541534Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9541702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9541782Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9541793Z 2025-09-07T10:28:08.9541889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9542072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9542139Z return mod(*inputs) 2025-09-07T10:28:08.9542310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9542388Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9542585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9542649Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9542822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9542893Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9543070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9543154Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9543321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9543410Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9543413Z 2025-09-07T10:28:08.9543508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9543695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9543759Z return mod(*inputs) 2025-09-07T10:28:08.9543928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9544007Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9544199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9544272Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9544438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9544517Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9544682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9544766Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9544941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-09-07T10:28:08.9545025Z conv_v_img_list.append(conv(v_img_list[i])) 2025-09-07T10:28:08.9545028Z 2025-09-07T10:28:08.9545126Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9545201Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9545273Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9545374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9545554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9545621Z return mod(*inputs) 2025-09-07T10:28:08.9545791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9545860Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9546064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9546128Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9546319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9546432Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9546603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-09-07T10:28:08.9546697Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-09-07T10:28:08.9546867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-09-07T10:28:08.9546959Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-09-07T10:28:08.9546962Z 2025-09-07T10:28:08.9547059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9547250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9547311Z return mod(*inputs) 2025-09-07T10:28:08.9547481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-09-07T10:28:08.9547562Z x_feat = self.forward_features(x) 2025-09-07T10:28:08.9547762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-09-07T10:28:08.9547836Z x4 = blk(x4, size=(H4, W4)) 2025-09-07T10:28:08.9548006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-09-07T10:28:08.9548079Z cur = self.factoratt_crpe(cur, size) 2025-09-07T10:28:08.9548256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-09-07T10:28:08.9548384Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-09-07T10:28:08.9548387Z 2025-09-07T10:28:08.9548471Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9548546Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9548617Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9548699Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9548775Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9548903Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9549005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:28:08.9549188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:28:08.9549259Z return mod(*inputs) 2025-09-07T10:28:08.9549428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 670, in forward 2025-09-07T10:28:08.9549506Z x = self.forward_head(x_feat) 2025-09-07T10:28:08.9549694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 661, in forward_head 2025-09-07T10:28:08.9549774Z return x if pre_logits else self.head(x) 2025-09-07T10:28:08.9549777Z 2025-09-07T10:28:08.9549857Z cudagraph partition due to non gpu ops 2025-09-07T10:28:08.9549931Z cudagraph partition due to non gpu ops 2025-09-07T10:28:44.0974945Z 2025-09-07T10:28:44.9378615Z running benchmark: 0% 0/30 [00:00 BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T10:33:15.2953032Z 2025-09-07T10:33:15.2953130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2953463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.2953765Z return mod(*inputs) 2025-09-07T10:33:15.2954082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.2954419Z xs = self.forward_features(x) 2025-09-07T10:33:15.2954765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.2955089Z xs = blk(xs) 2025-09-07T10:33:15.2955369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.2955665Z tmp = fusion(tmp) 2025-09-07T10:33:15.2955950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.2956284Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.2956618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T10:33:15.2956999Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T10:33:15.2957202Z 2025-09-07T10:33:15.2957276Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2957478Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2957675Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2957868Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2958051Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2958245Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2958438Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2958629Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2958836Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2959164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.2959463Z return mod(*inputs) 2025-09-07T10:33:15.2959773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.2960080Z xs = self.forward_features(x) 2025-09-07T10:33:15.2960403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.2960723Z xs = blk(xs) 2025-09-07T10:33:15.2960998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.2961299Z tmp = fusion(tmp) 2025-09-07T10:33:15.2961573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.2961903Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.2962232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T10:33:15.2962620Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T10:33:15.2962815Z 2025-09-07T10:33:15.2962891Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2963090Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2963291Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2963484Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2963698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2964023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.2964321Z return mod(*inputs) 2025-09-07T10:33:15.2964606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.2964912Z xs = self.forward_features(x) 2025-09-07T10:33:15.2965225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.2965544Z xs = blk(xs) 2025-09-07T10:33:15.2965814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.2966178Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.2966384Z 2025-09-07T10:33:15.2966488Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2966830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.2967134Z return mod(*inputs) 2025-09-07T10:33:15.2967418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.2967726Z xs = self.forward_features(x) 2025-09-07T10:33:15.2968038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.2968359Z xs = blk(xs) 2025-09-07T10:33:15.2968629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.2968994Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.2969168Z 2025-09-07T10:33:15.2969248Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2969441Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2969640Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2969860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2970192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.2970482Z return mod(*inputs) 2025-09-07T10:33:15.2970772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.2971080Z xs = self.forward_features(x) 2025-09-07T10:33:15.2971401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.2971710Z xs = blk(xs) 2025-09-07T10:33:15.2971982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.2972358Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.2972531Z 2025-09-07T10:33:15.2972636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2972966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.2973257Z return mod(*inputs) 2025-09-07T10:33:15.2973538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.2973842Z xs = self.forward_features(x) 2025-09-07T10:33:15.2974159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.2974522Z xs = blk(xs) 2025-09-07T10:33:15.2974789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.2975146Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.2975315Z 2025-09-07T10:33:15.2975400Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2975602Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2975788Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2976013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2976346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.2976651Z return mod(*inputs) 2025-09-07T10:33:15.2976930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.2977242Z xs = self.forward_features(x) 2025-09-07T10:33:15.2977566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.2977890Z xs = blk(xs) 2025-09-07T10:33:15.2978165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.2978469Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.2978836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T10:33:15.2979227Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T10:33:15.2979601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T10:33:15.2979931Z x = F.scaled_dot_product_attention( 2025-09-07T10:33:15.2980062Z 2025-09-07T10:33:15.2980134Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2980330Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2980527Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2980722Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2980934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2981270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.2981579Z return mod(*inputs) 2025-09-07T10:33:15.2981867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.2982171Z xs = self.forward_features(x) 2025-09-07T10:33:15.2982496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.2982819Z xs = blk(xs) 2025-09-07T10:33:15.2983094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.2983406Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.2983726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T10:33:15.2984095Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T10:33:15.2984459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T10:33:15.2984821Z x = F.scaled_dot_product_attention( 2025-09-07T10:33:15.2984951Z 2025-09-07T10:33:15.2985028Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2985237Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2985436Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2985635Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2985824Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2997907Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2998156Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2998362Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2998555Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2998758Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2998951Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2999147Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.2999369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.2999741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3000071Z return mod(*inputs) 2025-09-07T10:33:15.3000408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3000746Z xs = self.forward_features(x) 2025-09-07T10:33:15.3001079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3001409Z xs = blk(xs) 2025-09-07T10:33:15.3001693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T10:33:15.3002095Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3002298Z 2025-09-07T10:33:15.3002375Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3002579Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3002777Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3003005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3003439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3003771Z return mod(*inputs) 2025-09-07T10:33:15.3004070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3004385Z xs = self.forward_features(x) 2025-09-07T10:33:15.3004713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3005024Z xs = blk(xs) 2025-09-07T10:33:15.3005301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.3005613Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.3005944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T10:33:15.3006321Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T10:33:15.3006686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T10:33:15.3007031Z x = F.scaled_dot_product_attention( 2025-09-07T10:33:15.3007165Z 2025-09-07T10:33:15.3007241Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3007438Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3007623Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3007816Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3008008Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3008203Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3008415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3008752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3009060Z return mod(*inputs) 2025-09-07T10:33:15.3009380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3009700Z xs = self.forward_features(x) 2025-09-07T10:33:15.3010018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3010341Z xs = blk(xs) 2025-09-07T10:33:15.3010619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.3010929Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.3011249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-09-07T10:33:15.3011621Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-09-07T10:33:15.3011781Z 2025-09-07T10:33:15.3011855Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3012052Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3012248Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3012463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3012804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3013114Z return mod(*inputs) 2025-09-07T10:33:15.3013408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3013711Z xs = self.forward_features(x) 2025-09-07T10:33:15.3014036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3014356Z xs = blk(xs) 2025-09-07T10:33:15.3014631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.3014934Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.3015263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T10:33:15.3015636Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T10:33:15.3016016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T10:33:15.3016392Z x = F.scaled_dot_product_attention( 2025-09-07T10:33:15.3016518Z 2025-09-07T10:33:15.3016590Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3016791Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3016983Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3017175Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3017360Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3017554Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3017748Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3017971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3018300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3018606Z return mod(*inputs) 2025-09-07T10:33:15.3018895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3019211Z xs = self.forward_features(x) 2025-09-07T10:33:15.3019537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3019849Z xs = blk(xs) 2025-09-07T10:33:15.3020125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T10:33:15.3020511Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3020707Z 2025-09-07T10:33:15.3020791Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3020980Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3021177Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3021401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3021763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3022072Z return mod(*inputs) 2025-09-07T10:33:15.3022352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3022668Z xs = self.forward_features(x) 2025-09-07T10:33:15.3022992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3023311Z xs = blk(xs) 2025-09-07T10:33:15.3023576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.3023879Z tmp = fusion(tmp) 2025-09-07T10:33:15.3024162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.3024500Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.3024831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T10:33:15.3025211Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T10:33:15.3025411Z 2025-09-07T10:33:15.3025488Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3025691Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3025918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3026244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3026549Z return mod(*inputs) 2025-09-07T10:33:15.3026840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3027149Z xs = self.forward_features(x) 2025-09-07T10:33:15.3027479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3027791Z xs = blk(xs) 2025-09-07T10:33:15.3028067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T10:33:15.3028486Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3028692Z 2025-09-07T10:33:15.3028800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3029128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3029438Z return mod(*inputs) 2025-09-07T10:33:15.3029726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3030038Z xs = self.forward_features(x) 2025-09-07T10:33:15.3030364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3030680Z xs = blk(xs) 2025-09-07T10:33:15.3030957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T10:33:15.3031341Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3031536Z 2025-09-07T10:33:15.3031617Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3031808Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3032002Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3032196Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3032415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3032753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3033049Z return mod(*inputs) 2025-09-07T10:33:15.3033333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3033641Z xs = self.forward_features(x) 2025-09-07T10:33:15.3034376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3034696Z xs = blk(xs) 2025-09-07T10:33:15.3034976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.3035284Z tmp = fusion(tmp) 2025-09-07T10:33:15.3035569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.3035901Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.3036232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T10:33:15.3036627Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T10:33:15.3036836Z 2025-09-07T10:33:15.3036938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3037277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3037575Z return mod(*inputs) 2025-09-07T10:33:15.3037861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3038170Z xs = self.forward_features(x) 2025-09-07T10:33:15.3038498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3038814Z xs = blk(xs) 2025-09-07T10:33:15.3039081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.3039382Z tmp = fusion(tmp) 2025-09-07T10:33:15.3039661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.3039993Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.3040315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T10:33:15.3040701Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T10:33:15.3040939Z 2025-09-07T10:33:15.3041026Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3041221Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3041444Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3041641Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3041834Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3042018Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3042211Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3042402Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3042620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3042946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3043251Z return mod(*inputs) 2025-09-07T10:33:15.3043539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3043856Z xs = self.forward_features(x) 2025-09-07T10:33:15.3044180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3044491Z xs = blk(xs) 2025-09-07T10:33:15.3044764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.3045062Z tmp = fusion(tmp) 2025-09-07T10:33:15.3045337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.3045663Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.3045988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T10:33:15.3046378Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T10:33:15.3046573Z 2025-09-07T10:33:15.3046671Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3046869Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3047055Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3047249Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3047467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3047799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3048096Z return mod(*inputs) 2025-09-07T10:33:15.3048384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3048694Z xs = self.forward_features(x) 2025-09-07T10:33:15.3049116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3049442Z xs = blk(xs) 2025-09-07T10:33:15.3049710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.3050084Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3050268Z 2025-09-07T10:33:15.3050367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3050707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3051008Z return mod(*inputs) 2025-09-07T10:33:15.3051300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3051619Z xs = self.forward_features(x) 2025-09-07T10:33:15.3051946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3052274Z xs = blk(xs) 2025-09-07T10:33:15.3052542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.3052905Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3053084Z 2025-09-07T10:33:15.3053211Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3053438Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3053626Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3053876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3054215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3054520Z return mod(*inputs) 2025-09-07T10:33:15.3054806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3055107Z xs = self.forward_features(x) 2025-09-07T10:33:15.3055436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3055754Z xs = blk(xs) 2025-09-07T10:33:15.3056025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.3056377Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3056555Z 2025-09-07T10:33:15.3056653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3056987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3057283Z return mod(*inputs) 2025-09-07T10:33:15.3057562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3057858Z xs = self.forward_features(x) 2025-09-07T10:33:15.3058180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3058497Z xs = blk(xs) 2025-09-07T10:33:15.3058766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.3059112Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3059313Z 2025-09-07T10:33:15.3059392Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3059593Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3059790Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3060007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3060332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3060635Z return mod(*inputs) 2025-09-07T10:33:15.3060918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3061225Z xs = self.forward_features(x) 2025-09-07T10:33:15.3061539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3061861Z xs = blk(xs) 2025-09-07T10:33:15.3062132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.3062447Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.3062776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T10:33:15.3063146Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T10:33:15.3063519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T10:33:15.3063854Z x = F.scaled_dot_product_attention( 2025-09-07T10:33:15.3063979Z 2025-09-07T10:33:15.3064059Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3064251Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3064446Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3064638Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3064858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3065183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3065491Z return mod(*inputs) 2025-09-07T10:33:15.3065789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3066119Z xs = self.forward_features(x) 2025-09-07T10:33:15.3066460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3066772Z xs = blk(xs) 2025-09-07T10:33:15.3067042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.3067351Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.3067675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T10:33:15.3068041Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T10:33:15.3068405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T10:33:15.3068740Z x = F.scaled_dot_product_attention( 2025-09-07T10:33:15.3068865Z 2025-09-07T10:33:15.3068948Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3069138Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3069326Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3069516Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3069709Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3069899Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3070083Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3070274Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3070467Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3070655Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3070841Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3071032Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3071251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3071600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3071901Z return mod(*inputs) 2025-09-07T10:33:15.3072187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3072497Z xs = self.forward_features(x) 2025-09-07T10:33:15.3072821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3073140Z xs = blk(xs) 2025-09-07T10:33:15.3073405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T10:33:15.3073789Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3073989Z 2025-09-07T10:33:15.3074064Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3074261Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3074450Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3074671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3075069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3075375Z return mod(*inputs) 2025-09-07T10:33:15.3075657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3076007Z xs = self.forward_features(x) 2025-09-07T10:33:15.3076334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3076658Z xs = blk(xs) 2025-09-07T10:33:15.3076933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.3077234Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.3077559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T10:33:15.3077929Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T10:33:15.3078328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T10:33:15.3078680Z x = F.scaled_dot_product_attention( 2025-09-07T10:33:15.3078805Z 2025-09-07T10:33:15.3078877Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3079071Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3079263Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3079453Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3079638Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3079833Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3080052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3080393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3080691Z return mod(*inputs) 2025-09-07T10:33:15.3080980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3081293Z xs = self.forward_features(x) 2025-09-07T10:33:15.3081617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3081939Z xs = blk(xs) 2025-09-07T10:33:15.3082204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.3082510Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.3082836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-09-07T10:33:15.3083200Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-09-07T10:33:15.3083348Z 2025-09-07T10:33:15.3083421Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3083618Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3083809Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3084045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3084374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3084675Z return mod(*inputs) 2025-09-07T10:33:15.3084958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3085261Z xs = self.forward_features(x) 2025-09-07T10:33:15.3085584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3085897Z xs = blk(xs) 2025-09-07T10:33:15.3086165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-09-07T10:33:15.3086476Z outs_b.append(block(x[i])) 2025-09-07T10:33:15.3086796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T10:33:15.3087158Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T10:33:15.3087525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T10:33:15.3087860Z x = F.scaled_dot_product_attention( 2025-09-07T10:33:15.3087985Z 2025-09-07T10:33:15.3088067Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3088267Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3088454Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3088648Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3088838Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3089030Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3089245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3089580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3089883Z return mod(*inputs) 2025-09-07T10:33:15.3090166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3090511Z xs = self.forward_features(x) 2025-09-07T10:33:15.3090848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3091169Z xs = blk(xs) 2025-09-07T10:33:15.3091444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T10:33:15.3091829Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3092021Z 2025-09-07T10:33:15.3092095Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3092294Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3092519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3092853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3093151Z return mod(*inputs) 2025-09-07T10:33:15.3093434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3093745Z xs = self.forward_features(x) 2025-09-07T10:33:15.3094069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3094385Z xs = blk(xs) 2025-09-07T10:33:15.3094650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.3094957Z tmp = fusion(tmp) 2025-09-07T10:33:15.3095241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.3095570Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.3095900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T10:33:15.3096272Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T10:33:15.3096488Z 2025-09-07T10:33:15.3096562Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3096761Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3096982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3097305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3097610Z return mod(*inputs) 2025-09-07T10:33:15.3097893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3098201Z xs = self.forward_features(x) 2025-09-07T10:33:15.3098521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3098831Z xs = blk(xs) 2025-09-07T10:33:15.3099102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T10:33:15.3099485Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3099687Z 2025-09-07T10:33:15.3099794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3100125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3100428Z return mod(*inputs) 2025-09-07T10:33:15.3100711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3101021Z xs = self.forward_features(x) 2025-09-07T10:33:15.3101346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3101657Z xs = blk(xs) 2025-09-07T10:33:15.3101926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-09-07T10:33:15.3102304Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3102491Z 2025-09-07T10:33:15.3102592Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3102799Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3102996Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3103208Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3103426Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3103754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3104054Z return mod(*inputs) 2025-09-07T10:33:15.3104336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3104636Z xs = self.forward_features(x) 2025-09-07T10:33:15.3104956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3105276Z xs = blk(xs) 2025-09-07T10:33:15.3105547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.3105842Z tmp = fusion(tmp) 2025-09-07T10:33:15.3106123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.3106454Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.3106782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T10:33:15.3107166Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T10:33:15.3107362Z 2025-09-07T10:33:15.3107457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3107788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3108087Z return mod(*inputs) 2025-09-07T10:33:15.3108370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3108685Z xs = self.forward_features(x) 2025-09-07T10:33:15.3109009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3109327Z xs = blk(xs) 2025-09-07T10:33:15.3109593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.3109890Z tmp = fusion(tmp) 2025-09-07T10:33:15.3110158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.3110488Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.3110818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-09-07T10:33:15.3111190Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T10:33:15.3111380Z 2025-09-07T10:33:15.3111461Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3111653Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3111851Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3112042Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3112231Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3112416Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3112605Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3112794Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3113011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3113339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3113644Z return mod(*inputs) 2025-09-07T10:33:15.3113932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3114240Z xs = self.forward_features(x) 2025-09-07T10:33:15.3114558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3114906Z xs = blk(xs) 2025-09-07T10:33:15.3115191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-09-07T10:33:15.3115491Z tmp = fusion(tmp) 2025-09-07T10:33:15.3115769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-09-07T10:33:15.3116093Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T10:33:15.3116419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-09-07T10:33:15.3116798Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-09-07T10:33:15.3116994Z 2025-09-07T10:33:15.3117073Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3117260Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3117457Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3117650Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3117873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3118206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3118498Z return mod(*inputs) 2025-09-07T10:33:15.3118782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3119089Z xs = self.forward_features(x) 2025-09-07T10:33:15.3119407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3119720Z xs = blk(xs) 2025-09-07T10:33:15.3119988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.3120351Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3120523Z 2025-09-07T10:33:15.3120643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3120978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3121271Z return mod(*inputs) 2025-09-07T10:33:15.3121552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3121854Z xs = self.forward_features(x) 2025-09-07T10:33:15.3122169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3122473Z xs = blk(xs) 2025-09-07T10:33:15.3122742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.3123097Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3123263Z 2025-09-07T10:33:15.3123343Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3123564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3123890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3124191Z return mod(*inputs) 2025-09-07T10:33:15.3124467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T10:33:15.3124769Z x = self.forward_head(xs) 2025-09-07T10:33:15.3125068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T10:33:15.3125483Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3125896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T10:33:15.3126301Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3126507Z 2025-09-07T10:33:15.3126590Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3126807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3127174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3127489Z return mod(*inputs) 2025-09-07T10:33:15.3127775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T10:33:15.3128090Z x = self.forward_head(xs) 2025-09-07T10:33:15.3128393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T10:33:15.3128799Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3129208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T10:33:15.3129615Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3129823Z 2025-09-07T10:33:15.3129932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3130265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3130567Z return mod(*inputs) 2025-09-07T10:33:15.3130850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3131157Z xs = self.forward_features(x) 2025-09-07T10:33:15.3131468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3131789Z xs = blk(xs) 2025-09-07T10:33:15.3132062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.3132421Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3132589Z 2025-09-07T10:33:15.3132693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3133067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3133377Z return mod(*inputs) 2025-09-07T10:33:15.3133666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-09-07T10:33:15.3133974Z xs = self.forward_features(x) 2025-09-07T10:33:15.3134289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-09-07T10:33:15.3134608Z xs = blk(xs) 2025-09-07T10:33:15.3134875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-09-07T10:33:15.3135237Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-09-07T10:33:15.3135402Z 2025-09-07T10:33:15.3135508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3135839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3136145Z return mod(*inputs) 2025-09-07T10:33:15.3136432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T10:33:15.3136742Z x = self.forward_head(xs) 2025-09-07T10:33:15.3137046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T10:33:15.3137458Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3137865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T10:33:15.3138264Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3138473Z 2025-09-07T10:33:15.3138578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3138902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3139204Z return mod(*inputs) 2025-09-07T10:33:15.3139525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T10:33:15.3139845Z x = self.forward_head(xs) 2025-09-07T10:33:15.3140155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T10:33:15.3140560Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3140968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T10:33:15.3141371Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3141578Z 2025-09-07T10:33:15.3141662Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3141887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3142214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3142514Z return mod(*inputs) 2025-09-07T10:33:15.3142800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T10:33:15.3143109Z x = self.forward_head(xs) 2025-09-07T10:33:15.3143408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T10:33:15.3143817Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3144220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T10:33:15.3144620Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3144822Z 2025-09-07T10:33:15.3144925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3145266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3145571Z return mod(*inputs) 2025-09-07T10:33:15.3145855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T10:33:15.3146155Z x = self.forward_head(xs) 2025-09-07T10:33:15.3146457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T10:33:15.3146861Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3147266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-09-07T10:33:15.3147661Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3147865Z 2025-09-07T10:33:15.3147946Z cudagraph partition due to non gpu ops 2025-09-07T10:33:15.3148160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T10:33:15.3148492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T10:33:15.3148792Z return mod(*inputs) 2025-09-07T10:33:15.3149156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-09-07T10:33:15.3149465Z x = self.forward_head(xs) 2025-09-07T10:33:15.3149766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-09-07T10:33:15.3150173Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-09-07T10:33:15.3150390Z 2025-09-07T10:33:15.3150465Z cudagraph partition due to non gpu ops 2025-09-07T10:33:51.3251009Z 2025-09-07T10:33:51.7447490Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T11:37:37.4050456Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T11:37:37.4058106Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:37.4058344Z env: 2025-09-07T11:37:37.4058501Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:37.4058788Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:37.4059077Z ##[endgroup] 2025-09-07T11:37:37.4081992Z + [[ -n '' ]] 2025-09-07T11:37:37.4082288Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T11:37:37.5714769Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:37:38.2596526Z Collecting boto3==1.35.33 2025-09-07T11:37:38.2715929Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T11:37:38.4681634Z Collecting psutil==7.0.0 2025-09-07T11:37:38.4707528Z 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) 2025-09-07T11:37:38.4904938Z Collecting pynvml==12.0.0 2025-09-07T11:37:38.4932851Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T11:37:38.5252837Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T11:37:38.5277892Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T11:37:38.5323011Z 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) 2025-09-07T11:37:39.2458260Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T11:37:39.2482736Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T11:37:39.3569591Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T11:37:39.3592092Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T11:37:39.3658159Z 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) 2025-09-07T11:37:39.3662312Z 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) 2025-09-07T11:37:39.4531981Z 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) 2025-09-07T11:37:39.5419730Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T11:37:39.8524802Z Attempting uninstall: nvidia-ml-py 2025-09-07T11:37:39.8525193Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T11:37:39.8531932Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T11:37:39.8646500Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T11:37:39.9052142Z Attempting uninstall: psutil 2025-09-07T11:37:39.9052446Z Found existing installation: psutil 5.9.8 2025-09-07T11:37:39.9090278Z Uninstalling psutil-5.9.8: 2025-09-07T11:37:39.9094110Z Successfully uninstalled psutil-5.9.8 2025-09-07T11:37:40.0247541Z 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 2025-09-07T11:37:40.1129945Z + DEVICE_NAME= 2025-09-07T11:37:40.1130194Z + DEVICE_TYPE= 2025-09-07T11:37:40.1130380Z + command -v nvidia-smi 2025-09-07T11:37:40.1130612Z + command -v rocminfo 2025-09-07T11:37:40.1130811Z + echo DEVICE_NAME= 2025-09-07T11:37:40.1130971Z + echo DEVICE_TYPE= 2025-09-07T11:37:40.1147952Z ##[group]Run set -eux 2025-09-07T11:37:40.1148147Z set -eux 2025-09-07T11:37:40.1148325Z  2025-09-07T11:37:40.1148499Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T11:37:40.1148722Z  echo "Missing github-token input" 2025-09-07T11:37:40.1148971Z  exit 1 2025-09-07T11:37:40.1149112Z fi 2025-09-07T11:37:40.1154980Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:40.1155209Z env: 2025-09-07T11:37:40.1155362Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:40.1155649Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:40.1155939Z DEVICE_NAME: 2025-09-07T11:37:40.1156093Z DEVICE_TYPE: 2025-09-07T11:37:40.1156444Z GITHUB_TOKEN: *** 2025-09-07T11:37:40.1156600Z ##[endgroup] 2025-09-07T11:37:40.1174529Z + [[ -z *** ]] 2025-09-07T11:37:40.1201475Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T11:37:40.1201766Z with: 2025-09-07T11:37:40.1202046Z github-token: *** 2025-09-07T11:37:40.1202223Z env: 2025-09-07T11:37:40.1202403Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:40.1202717Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:40.1203042Z DEVICE_NAME: 2025-09-07T11:37:40.1203219Z DEVICE_TYPE: 2025-09-07T11:37:40.1203388Z ##[endgroup] 2025-09-07T11:37:40.1212730Z ##[group]Run set -eux 2025-09-07T11:37:40.1212927Z set -eux 2025-09-07T11:37:40.1213087Z  2025-09-07T11:37:40.1213397Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T11:37:40.1217742Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:40.1217998Z env: 2025-09-07T11:37:40.1218163Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:40.1218473Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:40.1218786Z DEVICE_NAME: 2025-09-07T11:37:40.1218958Z DEVICE_TYPE: 2025-09-07T11:37:40.1219236Z GITHUB_TOKEN: *** 2025-09-07T11:37:40.1219528Z ##[endgroup] 2025-09-07T11:37:40.1237908Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525285611 i-0d2173bc2520f8d04 2025-09-07T11:37:40.6955072Z setting job-id=49775585772 2025-09-07T11:37:40.6955528Z setting job-name=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T11:37:40.7027500Z ##[group]Run set -eux 2025-09-07T11:37:40.7027697Z set -eux 2025-09-07T11:37:40.7027851Z  2025-09-07T11:37:40.7028002Z if [[ -n "" ]]; then 2025-09-07T11:37:40.7028175Z  source "" 2025-09-07T11:37:40.7028333Z fi 2025-09-07T11:37:40.7028473Z  2025-09-07T11:37:40.7028707Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T11:37:40.7029003Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T11:37:40.7029218Z  --repo "${REPO}" \ 2025-09-07T11:37:40.7029422Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T11:37:40.7029629Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T11:37:40.7029830Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T11:37:40.7030049Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T11:37:40.7030249Z  --job-id "${JOB_ID}" \ 2025-09-07T11:37:40.7030437Z  --job-name "${JOB_NAME}" 2025-09-07T11:37:40.7034097Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:40.7034361Z env: 2025-09-07T11:37:40.7034510Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:40.7034794Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:40.7035073Z DEVICE_NAME: 2025-09-07T11:37:40.7035227Z DEVICE_TYPE: 2025-09-07T11:37:40.7035380Z SCHEMA_VERSION: v3 2025-09-07T11:37:40.7035546Z REPO: pytorch/pytorch 2025-09-07T11:37:40.7035711Z HEAD_BRANCH: refs/heads/main 2025-09-07T11:37:40.7035925Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T11:37:40.7036140Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T11:37:40.7036311Z RUN_ATTEMPT: 1 2025-09-07T11:37:40.7036454Z JOB_ID: 49775585772 2025-09-07T11:37:40.7036761Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T11:37:40.7037082Z ##[endgroup] 2025-09-07T11:37:40.7056551Z + [[ -n '' ]] 2025-09-07T11:37:40.7057856Z + 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 49775585772 --job-name 'inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal)' 2025-09-07T11:37:40.7281697Z ##[group]Run set -eux 2025-09-07T11:37:40.7281880Z set -eux 2025-09-07T11:37:40.7282030Z  2025-09-07T11:37:40.7282183Z if [[ -n "" ]]; then 2025-09-07T11:37:40.7282363Z  source "" 2025-09-07T11:37:40.7282521Z fi 2025-09-07T11:37:40.7282653Z  2025-09-07T11:37:40.7282894Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T11:37:40.7286449Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:40.7286681Z env: 2025-09-07T11:37:40.7286824Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:40.7287107Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:40.7287398Z DEVICE_NAME: 2025-09-07T11:37:40.7287553Z DEVICE_TYPE: 2025-09-07T11:37:40.7287693Z ##[endgroup] 2025-09-07T11:37:40.7303375Z + [[ -n '' ]] 2025-09-07T11:37:40.7303843Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T11:37:40.7584630Z INFO:root:Fail to import torch to get the device name 2025-09-07T11:37:40.7657337Z ##[group]Run set -eux 2025-09-07T11:37:40.7657515Z set -eux 2025-09-07T11:37:40.7657663Z  2025-09-07T11:37:40.7657826Z # TODO (huydhn): Implement this part 2025-09-07T11:37:40.7658067Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T11:37:40.7661420Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:40.7661658Z env: 2025-09-07T11:37:40.7661803Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:40.7662088Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:40.7662377Z DEVICE_NAME: 2025-09-07T11:37:40.7662529Z DEVICE_TYPE: 2025-09-07T11:37:40.7662678Z ##[endgroup] 2025-09-07T11:37:40.7677658Z + echo 'dependencies={}' 2025-09-07T11:37:40.7690501Z ##[group]Run set -eux 2025-09-07T11:37:40.7690691Z set -eux 2025-09-07T11:37:40.7690841Z  2025-09-07T11:37:40.7691003Z if [[ -n "" ]]; then 2025-09-07T11:37:40.7691171Z  source "" 2025-09-07T11:37:40.7691325Z fi 2025-09-07T11:37:40.7691463Z  2025-09-07T11:37:40.7691635Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T11:37:40.7691889Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T11:37:40.7692171Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T11:37:40.7692458Z  exit 0 2025-09-07T11:37:40.7692641Z fi 2025-09-07T11:37:40.7692771Z  2025-09-07T11:37:40.7692931Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T11:37:40.7693219Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:37:40.7693547Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:37:40.7693802Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:37:40.7694006Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:37:40.7694220Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T11:37:40.7694424Z  --dry-run 2025-09-07T11:37:40.7694587Z else 2025-09-07T11:37:40.7694808Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:37:40.7695146Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:37:40.7695396Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:37:40.7695612Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:37:40.7695811Z  --dependencies "${DEPENDENCIES}" 2025-09-07T11:37:40.7696007Z fi 2025-09-07T11:37:40.7699318Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:40.7699559Z env: 2025-09-07T11:37:40.7699716Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:40.7700002Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:40.7700286Z DEVICE_NAME: 2025-09-07T11:37:40.7700444Z DEVICE_TYPE: 2025-09-07T11:37:40.7700617Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T11:37:40.7700813Z DRY_RUN: false 2025-09-07T11:37:40.7701568Z BENCHMARK_METADATA: {"timestamp": 1757245060, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585772} 2025-09-07T11:37:40.7702509Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-60-169.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T11:37:40.7702854Z DEPENDENCIES: {} 2025-09-07T11:37:40.7703013Z ##[endgroup] 2025-09-07T11:37:40.7719067Z + [[ -n '' ]] 2025-09-07T11:37:40.7719233Z + [[ ! -d test/test-reports ]] 2025-09-07T11:37:40.7719422Z + [[ false == \t\r\u\e ]] 2025-09-07T11:37:40.7721053Z + 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": 1757245060, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585772}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-60-169.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T11:37:40.8681828Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:37:40.8876649Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T11:37:41.0195768Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:37:41.0923854Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:37:41.1648719Z INFO:root:Upload test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:37:41.2451467Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:37:41.3270715Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T11:37:41.4463927Z 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/17525285611/49775585772/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T11:37:41.5334936Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T11:37:41.6156682Z 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/17525285611/49775585772/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T11:37:41.7442406Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T11:37:41.8287331Z 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/17525285611/49775585772/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T11:37:41.9310339Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585772/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T11:37:42.0096455Z 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/17525285611/49775585772/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T11:37:42.1364774Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T11:37:42.1365018Z cat test/**/*_toprint.log || true 2025-09-07T11:37:42.1369402Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:42.1369629Z env: 2025-09-07T11:37:42.1369784Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:42.1370068Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:42.1370346Z DEVICE_NAME: 2025-09-07T11:37:42.1370498Z DEVICE_TYPE: 2025-09-07T11:37:42.1370651Z ##[endgroup] 2025-09-07T11:37:42.1432330Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T11:37:42.1448964Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:37:42.1449197Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:37:42.1452743Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:42.1452971Z env: 2025-09-07T11:37:42.1453119Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:42.1453453Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:42.1454272Z DEVICE_NAME: 2025-09-07T11:37:42.1454428Z DEVICE_TYPE: 2025-09-07T11:37:42.1454589Z MONITOR_SCRIPT_PID: 57373 2025-09-07T11:37:42.1454764Z ##[endgroup] 2025-09-07T11:37:42.1536218Z Prepare all required actions 2025-09-07T11:37:42.1536512Z Getting action download info 2025-09-07T11:37:42.3407352Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T11:37:42.5020524Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T11:37:42.7934853Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T11:37:42.7935075Z with: 2025-09-07T11:37:42.7935321Z file-suffix: test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772 2025-09-07T11:37:42.7935598Z s3-bucket: gha-artifacts 2025-09-07T11:37:42.7935767Z env: 2025-09-07T11:37:42.7935912Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:42.7936204Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:42.7936484Z DEVICE_NAME: 2025-09-07T11:37:42.7936639Z DEVICE_TYPE: 2025-09-07T11:37:42.7936787Z ##[endgroup] 2025-09-07T11:37:42.7951766Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T11:37:42.7952058Z # Remove any previous test jsons if they exist 2025-09-07T11:37:42.7952281Z rm -f test-jsons-*.zip 2025-09-07T11:37:42.7952541Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T11:37:42.7955933Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:42.7956158Z env: 2025-09-07T11:37:42.7956299Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:42.7956577Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:42.7956860Z DEVICE_NAME: 2025-09-07T11:37:42.7957014Z DEVICE_TYPE: 2025-09-07T11:37:42.7957273Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772 2025-09-07T11:37:42.7957538Z ##[endgroup] 2025-09-07T11:37:42.8086060Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:37:42.8098610Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:37:42.8113704Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:37:42.8128673Z adding: test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:37:42.8143287Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:37:42.8163203Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T11:37:42.8206125Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:37:42.8225593Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T11:37:42.8270064Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:37:42.8291625Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T11:37:42.8338991Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:37:42.8360672Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T11:37:42.8392097Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:37:42.8411485Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T11:37:42.8411773Z # Remove any previous test reports if they exist 2025-09-07T11:37:42.8412012Z rm -f test-reports-*.zip 2025-09-07T11:37:42.8412404Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T11:37:42.8415850Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:42.8416076Z env: 2025-09-07T11:37:42.8416226Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:42.8416508Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:42.8416786Z DEVICE_NAME: 2025-09-07T11:37:42.8416939Z DEVICE_TYPE: 2025-09-07T11:37:42.8417182Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772 2025-09-07T11:37:42.8417454Z ##[endgroup] 2025-09-07T11:37:42.8457722Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 55%) 2025-09-07T11:37:42.8458258Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 53%) 2025-09-07T11:37:42.8458754Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 55%) 2025-09-07T11:37:42.8459261Z adding: test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 57%) 2025-09-07T11:37:42.8459761Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 65%) 2025-09-07T11:37:42.8460285Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.csv (deflated 50%) 2025-09-07T11:37:42.8460950Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T11:37:42.8461564Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.csv (deflated 50%) 2025-09-07T11:37:42.8462170Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T11:37:42.8462683Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T11:37:42.8463846Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:37:42.8464376Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.csv (deflated 50%) 2025-09-07T11:37:42.8465106Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T11:37:42.8479674Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T11:37:42.8480031Z # Remove any previous usage logs if they exist 2025-09-07T11:37:42.8480315Z rm -f logs-*.zip 2025-09-07T11:37:42.8480597Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T11:37:42.8480965Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T11:37:42.8484569Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:42.8484850Z env: 2025-09-07T11:37:42.8485081Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:42.8485388Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:42.8485733Z DEVICE_NAME: 2025-09-07T11:37:42.8485970Z DEVICE_TYPE: 2025-09-07T11:37:42.8486298Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772 2025-09-07T11:37:42.8486596Z ##[endgroup] 2025-09-07T11:37:42.8580906Z adding: usage_log.txt (deflated 97%) 2025-09-07T11:37:42.8588555Z 2025-09-07T11:37:42.8588787Z zip error: Nothing to do! (logs-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip) 2025-09-07T11:37:42.8604575Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T11:37:42.8604990Z # Remove any previous debugging artifacts if they exist 2025-09-07T11:37:42.8605321Z rm -f debug-*.zip 2025-09-07T11:37:42.8605554Z if [ -d 'test/debug' ]; then 2025-09-07T11:37:42.8605927Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T11:37:42.8606191Z fi 2025-09-07T11:37:42.8609794Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:42.8610080Z env: 2025-09-07T11:37:42.8610292Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:42.8610651Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:42.8610971Z DEVICE_NAME: 2025-09-07T11:37:42.8611184Z DEVICE_TYPE: 2025-09-07T11:37:42.8628441Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772 2025-09-07T11:37:42.8628828Z ##[endgroup] 2025-09-07T11:37:42.8680357Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:37:42.8680582Z with: 2025-09-07T11:37:42.8680740Z s3-bucket: gha-artifacts 2025-09-07T11:37:42.8680952Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:37:42.8681160Z retention-days: 14 2025-09-07T11:37:42.8681327Z if-no-files-found: warn 2025-09-07T11:37:42.8681514Z path: test-jsons-*.zip 2025-09-07T11:37:42.8681678Z name: artifact 2025-09-07T11:37:42.8681824Z region: us-east-1 2025-09-07T11:37:42.8681973Z env: 2025-09-07T11:37:42.8682111Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:42.8682395Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:42.8682682Z DEVICE_NAME: 2025-09-07T11:37:42.8682835Z DEVICE_TYPE: 2025-09-07T11:37:42.8682982Z ##[endgroup] 2025-09-07T11:37:43.1260317Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:37:43.1260613Z With the provided path, there will be 1 file uploaded 2025-09-07T11:37:43.1260888Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:37:43.1290141Z Starting upload of test-jsons-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip 2025-09-07T11:37:43.2756267Z Finished upload of test-jsons-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip 2025-09-07T11:37:43.2888599Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:37:43.2888809Z with: 2025-09-07T11:37:43.2888961Z s3-bucket: gha-artifacts 2025-09-07T11:37:43.2889168Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:37:43.2889383Z retention-days: 14 2025-09-07T11:37:43.2889543Z if-no-files-found: error 2025-09-07T11:37:43.2889723Z path: test-reports-*.zip 2025-09-07T11:37:43.2889887Z name: artifact 2025-09-07T11:37:43.2890035Z region: us-east-1 2025-09-07T11:37:43.2890177Z env: 2025-09-07T11:37:43.2890317Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:43.2890593Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:43.2890880Z DEVICE_NAME: 2025-09-07T11:37:43.2891024Z DEVICE_TYPE: 2025-09-07T11:37:43.2891176Z ##[endgroup] 2025-09-07T11:37:43.5139707Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:37:43.5140004Z With the provided path, there will be 1 file uploaded 2025-09-07T11:37:43.5140306Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:37:43.5168533Z Starting upload of test-reports-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip 2025-09-07T11:37:43.6250966Z Finished upload of test-reports-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip 2025-09-07T11:37:43.6381304Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:37:43.6381510Z with: 2025-09-07T11:37:43.6381668Z s3-bucket: gha-artifacts 2025-09-07T11:37:43.6381878Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:37:43.6382091Z retention-days: 14 2025-09-07T11:37:43.6382252Z if-no-files-found: ignore 2025-09-07T11:37:43.6382429Z path: logs-*.zip 2025-09-07T11:37:43.6382586Z name: artifact 2025-09-07T11:37:43.6382853Z region: us-east-1 2025-09-07T11:37:43.6382998Z env: 2025-09-07T11:37:43.6383145Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:43.6383434Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:43.6383813Z DEVICE_NAME: 2025-09-07T11:37:43.6383960Z DEVICE_TYPE: 2025-09-07T11:37:43.6384113Z ##[endgroup] 2025-09-07T11:37:43.8568385Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:37:43.8568686Z With the provided path, there will be 1 file uploaded 2025-09-07T11:37:43.8568954Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:37:43.8596136Z Starting upload of logs-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip 2025-09-07T11:37:43.9710377Z Finished upload of logs-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip 2025-09-07T11:37:43.9834981Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:37:43.9835184Z with: 2025-09-07T11:37:43.9835354Z s3-bucket: gha-artifacts 2025-09-07T11:37:43.9835571Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:37:43.9835785Z retention-days: 14 2025-09-07T11:37:43.9835943Z if-no-files-found: ignore 2025-09-07T11:37:43.9836131Z path: debug-*.zip 2025-09-07T11:37:43.9836285Z name: artifact 2025-09-07T11:37:43.9836434Z region: us-east-1 2025-09-07T11:37:43.9836575Z env: 2025-09-07T11:37:43.9836717Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:43.9836995Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:43.9837275Z DEVICE_NAME: 2025-09-07T11:37:43.9837415Z DEVICE_TYPE: 2025-09-07T11:37:43.9837563Z ##[endgroup] 2025-09-07T11:37:44.2013500Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T11:37:44.2147592Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T11:37:44.2147837Z # shellcheck disable=SC2156 2025-09-07T11:37:44.2148167Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T11:37:44.2153403Z shell: /usr/bin/bash -e {0} 2025-09-07T11:37:44.2153582Z env: 2025-09-07T11:37:44.2153737Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:44.2154014Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:44.2154310Z DEVICE_NAME: 2025-09-07T11:37:44.2154461Z DEVICE_TYPE: 2025-09-07T11:37:44.2154613Z ##[endgroup] 2025-09-07T11:37:44.3836884Z Prepare all required actions 2025-09-07T11:37:44.3837137Z Getting action download info 2025-09-07T11:37:44.5166032Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T11:37:44.5166250Z with: 2025-09-07T11:37:44.5166398Z job_id: 49775585772 2025-09-07T11:37:44.5166705Z job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T11:37:44.5167054Z workflow_name: inductor-perf-nightly-x86 2025-09-07T11:37:44.5167269Z workflow_run_id: 17525285611 2025-09-07T11:37:44.5167455Z workflow_attempt: 1 2025-09-07T11:37:44.5167612Z env: 2025-09-07T11:37:44.5167756Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:44.5168029Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:44.5168316Z DEVICE_NAME: 2025-09-07T11:37:44.5168468Z DEVICE_TYPE: 2025-09-07T11:37:44.5168612Z ##[endgroup] 2025-09-07T11:37:44.5179663Z ##[group]Run echo "workflow_id: 17525285611" 2025-09-07T11:37:44.5179926Z echo "workflow_id: 17525285611" 2025-09-07T11:37:44.5180132Z echo "workflow_attempt: 1" 2025-09-07T11:37:44.5180364Z echo "workflow_Name: inductor-perf-nightly-x86" 2025-09-07T11:37:44.5180593Z echo "job_id: 49775585772" 2025-09-07T11:37:44.5180943Z echo "job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal)" 2025-09-07T11:37:44.5181295Z echo "artifact_prefix: " 2025-09-07T11:37:44.5181553Z python3 --version 2025-09-07T11:37:44.5185567Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:44.5185822Z env: 2025-09-07T11:37:44.5185980Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:44.5186274Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:44.5186563Z DEVICE_NAME: 2025-09-07T11:37:44.5186719Z DEVICE_TYPE: 2025-09-07T11:37:44.5186873Z ##[endgroup] 2025-09-07T11:37:44.5203715Z workflow_id: 17525285611 2025-09-07T11:37:44.5203941Z workflow_attempt: 1 2025-09-07T11:37:44.5204136Z workflow_Name: inductor-perf-nightly-x86 2025-09-07T11:37:44.5204344Z job_id: 49775585772 2025-09-07T11:37:44.5204660Z job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal) 2025-09-07T11:37:44.5204994Z artifact_prefix: 2025-09-07T11:37:44.5213164Z Python 3.9.23 2025-09-07T11:37:44.5236754Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T11:37:44.5236956Z with: 2025-09-07T11:37:44.5237102Z shell: bash 2025-09-07T11:37:44.5237266Z timeout_minutes: 5 2025-09-07T11:37:44.5237428Z max_attempts: 5 2025-09-07T11:37:44.5237585Z retry_wait_seconds: 30 2025-09-07T11:37:44.5237906Z 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 2025-09-07T11:37:44.5238242Z polling_interval_seconds: 1 2025-09-07T11:37:44.5238422Z warning_on_retry: true 2025-09-07T11:37:44.5238597Z continue_on_error: false 2025-09-07T11:37:44.5238759Z env: 2025-09-07T11:37:44.5238899Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:44.5239175Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:44.5239460Z DEVICE_NAME: 2025-09-07T11:37:44.5239609Z DEVICE_TYPE: 2025-09-07T11:37:44.5239745Z ##[endgroup] 2025-09-07T11:37:44.7520771Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:37:44.8036981Z Collecting python-dateutil==2.8.2 2025-09-07T11:37:44.8145763Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T11:37:45.4459312Z Collecting boto3==1.35.42 2025-09-07T11:37:45.4481370Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T11:37:45.7847156Z Collecting pandas==2.1.3 2025-09-07T11:37:45.7869778Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T11:37:45.8972100Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T11:37:45.8979120Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T11:37:45.9008981Z 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) 2025-09-07T11:37:45.9012753Z 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) 2025-09-07T11:37:45.9015162Z 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) 2025-09-07T11:37:45.9416480Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T11:37:46.4791806Z Collecting numpy<2,>=1.22.4 2025-09-07T11:37:46.4813511Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T11:37:46.6069753Z Collecting tzdata>=2022.1 2025-09-07T11:37:46.6091817Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T11:37:46.6177632Z 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) 2025-09-07T11:37:46.6180419Z 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) 2025-09-07T11:37:46.6220167Z 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) 2025-09-07T11:37:46.6300048Z 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) 2025-09-07T11:37:46.6369190Z 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) 2025-09-07T11:37:46.6371995Z 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) 2025-09-07T11:37:46.7444557Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T11:37:50.2322891Z Attempting uninstall: boto3 2025-09-07T11:37:50.2323191Z Found existing installation: boto3 1.35.33 2025-09-07T11:37:50.2380387Z Uninstalling boto3-1.35.33: 2025-09-07T11:37:50.2388048Z Successfully uninstalled boto3-1.35.33 2025-09-07T11:37:50.2749127Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T11:37:50.5822916Z Command completed after 1 attempt(s). 2025-09-07T11:37:50.5868990Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:37:50.5869416Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:37:50.5869712Z  --workflow-run-id "17525285611" \ 2025-09-07T11:37:50.5869969Z  --workflow-name "inductor-perf-nightly-x86" \ 2025-09-07T11:37:50.5870214Z  --workflow-run-attempt "1" \ 2025-09-07T11:37:50.5870420Z  --job-id "49775585772" \ 2025-09-07T11:37:50.5870761Z  --job-name "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal)" \ 2025-09-07T11:37:50.5871100Z  --local-path "" \ 2025-09-07T11:37:50.5871294Z  --artifact-prefix "" 2025-09-07T11:37:50.5876583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:50.5876813Z env: 2025-09-07T11:37:50.5876962Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:50.5877245Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:50.5877536Z DEVICE_NAME: 2025-09-07T11:37:50.5877689Z DEVICE_TYPE: 2025-09-07T11:37:50.5877831Z ##[endgroup] 2025-09-07T11:37:51.6392415Z repo: pytorch/pytorch 2025-09-07T11:37:51.6392726Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T11:37:51.6393078Z Downloading logs-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip 2025-09-07T11:37:51.6393523Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf_cpu_x86-1-5-linux.24xl.spr-metal_49775585772.zip 2025-09-07T11:37:51.6393889Z Converted Log Model: UtilizationMetadata: 2025-09-07T11:37:51.6394721Z UtilizationMetadata(level='metadata', workflow_id='17525285611', job_id='49775585772', workflow_name='inductor-perf-nightly-x86', job_name='inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757231196, gpu_count=0, cpu_count=96, gpu_type=None, error=None) 2025-09-07T11:37:51.6395601Z [Db Segments] detected pytest cmd: 13, generated segments: 13 2025-09-07T11:37:51.6395844Z [db model] Peek db timeseries 2025-09-07T11:37:51.6396018Z :{ 2025-09-07T11:37:51.6396161Z "created_at": 1757245071, 2025-09-07T11:37:51.6396336Z "type": "utilization", 2025-09-07T11:37:51.6396502Z "tags": [ 2025-09-07T11:37:51.6396637Z "record" 2025-09-07T11:37:51.6396782Z ], 2025-09-07T11:37:51.6396927Z "time_stamp": 1757231196, 2025-09-07T11:37:51.6397110Z "repo": "pytorch/pytorch", 2025-09-07T11:37:51.6397284Z "workflow_id": 17525285611, 2025-09-07T11:37:51.6397458Z "run_attempt": 1, 2025-09-07T11:37:51.6397615Z "job_id": 49775585772, 2025-09-07T11:37:51.6397926Z "workflow_name": "inductor-perf-nightly-x86", 2025-09-07T11:37:51.6398285Z "job_name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 1, 5, linux.24xl.spr-metal)", 2025-09-07T11:37:51.6398610Z "json_data": "{}" 2025-09-07T11:37:51.6398767Z } 2025-09-07T11:37:51.6399072Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585772/metadata 2025-09-07T11:37:51.6399569Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585772/metadata 2025-09-07T11:37:51.6400091Z Writing 921 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585772/time_series 2025-09-07T11:37:51.6400613Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585772/time_series 2025-09-07T11:37:51.7164022Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T11:37:51.7164370Z with: 2025-09-07T11:37:51.7164569Z env: 2025-09-07T11:37:51.7164761Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:51.7165146Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:51.7165538Z DEVICE_NAME: 2025-09-07T11:37:51.7165739Z DEVICE_TYPE: 2025-09-07T11:37:51.7165929Z ##[endgroup] 2025-09-07T11:37:51.7181271Z ##[group]Run set -eou pipefail 2025-09-07T11:37:51.7181638Z set -eou pipefail 2025-09-07T11:37:51.7181871Z  2025-09-07T11:37:51.7182184Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T11:37:51.7182552Z for _ in $(seq 1440); do 2025-09-07T11:37:51.7182845Z  # Break if no ssh session exists anymore 2025-09-07T11:37:51.7183143Z  if [ "$(who)" = "" ]; then 2025-09-07T11:37:51.7183396Z  break 2025-09-07T11:37:51.7183652Z  fi 2025-09-07T11:37:51.7183861Z  echo "." 2025-09-07T11:37:51.7184073Z  sleep 5 2025-09-07T11:37:51.7184286Z done 2025-09-07T11:37:51.7189477Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:51.7189787Z env: 2025-09-07T11:37:51.7189976Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:51.7190352Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:51.7190741Z DEVICE_NAME: 2025-09-07T11:37:51.7190950Z DEVICE_TYPE: 2025-09-07T11:37:51.7191145Z ##[endgroup] 2025-09-07T11:37:51.7210120Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T11:37:51.7275419Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T11:37:51.7275770Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T11:37:51.7276036Z # shellcheck disable=SC2046 2025-09-07T11:37:51.7276275Z docker stop $(docker ps -q) || true 2025-09-07T11:37:51.7276512Z # Prune all of the docker images 2025-09-07T11:37:51.7276788Z docker system prune -af 2025-09-07T11:37:51.7280562Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:37:51.7280790Z env: 2025-09-07T11:37:51.7280938Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:37:51.7281229Z DOCKER_CONTAINER_ID: 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:37:51.7281526Z DEVICE_NAME: 2025-09-07T11:37:51.7281680Z DEVICE_TYPE: 2025-09-07T11:37:51.7281822Z ##[endgroup] 2025-09-07T11:38:02.6183481Z 9d93da6a456b 2025-09-07T11:38:03.1395360Z Deleted Containers: 2025-09-07T11:38:03.1395699Z 9d93da6a456b731b62a0b9193a663956784a64eafd183aba2516783735bf04df 2025-09-07T11:38:03.1395899Z 2025-09-07T11:38:09.4743710Z Deleted Images: 2025-09-07T11:38:09.4744374Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 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2025-09-07T11:38:09.5603485Z git version 2.47.1 2025-09-07T11:38:09.5627045Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/36c2b42d-2c1f-4f3d-aeb6-c8bed5a5c71b/.gitconfig' 2025-09-07T11:38:09.5633096Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/36c2b42d-2c1f-4f3d-aeb6-c8bed5a5c71b' before making global git config changes 2025-09-07T11:38:09.5633623Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T11:38:09.5636592Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T11:38:09.5668607Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T11:38:09.5695859Z [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' || :" 2025-09-07T11:38:09.5947713Z Entering 'android/libs/fbjni' 2025-09-07T11:38:09.5994542Z Entering 'third_party/FP16' 2025-09-07T11:38:09.6037674Z Entering 'third_party/FXdiv' 2025-09-07T11:38:09.6080621Z Entering 'third_party/NNPACK' 2025-09-07T11:38:09.6129687Z Entering 'third_party/NVTX' 2025-09-07T11:38:09.6172647Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:38:09.6212717Z Entering 'third_party/XNNPACK' 2025-09-07T11:38:09.6267739Z Entering 'third_party/aiter' 2025-09-07T11:38:09.6311918Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:38:09.6357882Z Entering 'third_party/benchmark' 2025-09-07T11:38:09.6401472Z Entering 'third_party/composable_kernel' 2025-09-07T11:38:09.6451981Z Entering 'third_party/cpp-httplib' 2025-09-07T11:38:09.6492363Z Entering 'third_party/cpuinfo' 2025-09-07T11:38:09.6532953Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:38:09.6577994Z Entering 'third_party/cutlass' 2025-09-07T11:38:09.6632421Z Entering 'third_party/fbgemm' 2025-09-07T11:38:09.6678507Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:38:09.6722322Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:38:09.6770237Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:38:09.6811974Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:38:09.6860702Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:38:09.6903135Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:38:09.6943945Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:38:09.6989805Z Entering 'third_party/flash-attention' 2025-09-07T11:38:09.7033805Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:38:09.7079164Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:38:09.7128091Z Entering 'third_party/flatbuffers' 2025-09-07T11:38:09.7173504Z Entering 'third_party/fmt' 2025-09-07T11:38:09.7212954Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:38:09.7254519Z Entering 'third_party/gloo' 2025-09-07T11:38:09.7301108Z Entering 'third_party/googletest' 2025-09-07T11:38:09.7344744Z Entering 'third_party/ideep' 2025-09-07T11:38:09.7384780Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:38:09.7432101Z Entering 'third_party/ittapi' 2025-09-07T11:38:09.7471390Z Entering 'third_party/kineto' 2025-09-07T11:38:09.7512974Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:38:09.7559780Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:38:09.7604703Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:38:09.7650308Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:38:09.7689071Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:38:09.7732573Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T11:38:09.7776260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T11:38:09.7818496Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T11:38:09.7863637Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T11:38:09.7905069Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:38:09.7947666Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:38:09.7990090Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:38:09.8030701Z Entering 'third_party/kleidiai' 2025-09-07T11:38:09.8072693Z Entering 'third_party/mimalloc' 2025-09-07T11:38:09.8114409Z Entering 'third_party/nlohmann' 2025-09-07T11:38:09.8158944Z Entering 'third_party/onnx' 2025-09-07T11:38:09.8217762Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:38:09.8264894Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:38:09.8305228Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:38:09.8349531Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:38:09.8393134Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:38:09.8439059Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:38:09.8482324Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T11:38:09.8523871Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T11:38:09.8567028Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T11:38:09.8610103Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T11:38:09.8652294Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T11:38:09.8696313Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:38:09.8758686Z Entering 'third_party/pocketfft' 2025-09-07T11:38:09.8796978Z Entering 'third_party/protobuf' 2025-09-07T11:38:09.8841764Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:38:09.8886766Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:38:09.8932314Z Entering 'third_party/psimd' 2025-09-07T11:38:09.8976243Z Entering 'third_party/pthreadpool' 2025-09-07T11:38:09.9017673Z Entering 'third_party/pybind11' 2025-09-07T11:38:09.9064111Z Entering 'third_party/python-peachpy' 2025-09-07T11:38:09.9109711Z Entering 'third_party/sleef' 2025-09-07T11:38:09.9154430Z Entering 'third_party/tensorpipe' 2025-09-07T11:38:09.9197917Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:38:09.9239386Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:38:09.9284737Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:38:09.9328843Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:38:09.9371298Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:38:09.9432837Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T11:38:09.9449886Z http.https://github.com/.extraheader 2025-09-07T11:38:09.9457899Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T11:38:09.9479529Z [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' || :" 2025-09-07T11:38:09.9727079Z Entering 'android/libs/fbjni' 2025-09-07T11:38:09.9753418Z http.https://github.com/.extraheader 2025-09-07T11:38:09.9780279Z Entering 'third_party/FP16' 2025-09-07T11:38:09.9810429Z http.https://github.com/.extraheader 2025-09-07T11:38:09.9837691Z Entering 'third_party/FXdiv' 2025-09-07T11:38:09.9868425Z http.https://github.com/.extraheader 2025-09-07T11:38:09.9895448Z Entering 'third_party/NNPACK' 2025-09-07T11:38:09.9926033Z http.https://github.com/.extraheader 2025-09-07T11:38:09.9953003Z Entering 'third_party/NVTX' 2025-09-07T11:38:09.9981644Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0005293Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:38:10.0037955Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0064834Z Entering 'third_party/XNNPACK' 2025-09-07T11:38:10.0095797Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0134143Z Entering 'third_party/aiter' 2025-09-07T11:38:10.0163557Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0191568Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:38:10.0221222Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0254814Z Entering 'third_party/benchmark' 2025-09-07T11:38:10.0281988Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0306749Z Entering 'third_party/composable_kernel' 2025-09-07T11:38:10.0339809Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0376114Z Entering 'third_party/cpp-httplib' 2025-09-07T11:38:10.0406116Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0435001Z Entering 'third_party/cpuinfo' 2025-09-07T11:38:10.0464968Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0490419Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:38:10.0520017Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0546611Z Entering 'third_party/cutlass' 2025-09-07T11:38:10.0578103Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0613297Z Entering 'third_party/fbgemm' 2025-09-07T11:38:10.0645134Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0673335Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:38:10.0701819Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0728443Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:38:10.0756378Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0786728Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:38:10.0814759Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0840539Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:38:10.0868337Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0903553Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:38:10.0931442Z http.https://github.com/.extraheader 2025-09-07T11:38:10.0958587Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:38:10.0983585Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1006654Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:38:10.1033882Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1062614Z Entering 'third_party/flash-attention' 2025-09-07T11:38:10.1094197Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1120443Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:38:10.1148729Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1181254Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:38:10.1209860Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1242597Z Entering 'third_party/flatbuffers' 2025-09-07T11:38:10.1272459Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1300505Z Entering 'third_party/fmt' 2025-09-07T11:38:10.1331430Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1359727Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:38:10.1390465Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1417178Z Entering 'third_party/gloo' 2025-09-07T11:38:10.1448368Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1474749Z Entering 'third_party/googletest' 2025-09-07T11:38:10.1503843Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1531805Z Entering 'third_party/ideep' 2025-09-07T11:38:10.1563887Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1587894Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:38:10.1616850Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1650437Z Entering 'third_party/ittapi' 2025-09-07T11:38:10.1680430Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1707806Z Entering 'third_party/kineto' 2025-09-07T11:38:10.1739633Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1768026Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:38:10.1796482Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1822964Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:38:10.1852095Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1878942Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:38:10.1911251Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1937770Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:38:10.1968677Z http.https://github.com/.extraheader 2025-09-07T11:38:10.1994549Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:38:10.2025088Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2051855Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T11:38:10.2082223Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2110348Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T11:38:10.2138646Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2163876Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T11:38:10.2190783Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2215035Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T11:38:10.2243326Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2269805Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:38:10.2296942Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2321838Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:38:10.2351307Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2378536Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:38:10.2408778Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2437099Z Entering 'third_party/kleidiai' 2025-09-07T11:38:10.2465977Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2492858Z Entering 'third_party/mimalloc' 2025-09-07T11:38:10.2522147Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2548239Z Entering 'third_party/nlohmann' 2025-09-07T11:38:10.2582977Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2609576Z Entering 'third_party/onnx' 2025-09-07T11:38:10.2639951Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2678820Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:38:10.2706933Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2735402Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:38:10.2766354Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2794196Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:38:10.2825707Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2853504Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:38:10.2881018Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2904562Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:38:10.2932971Z http.https://github.com/.extraheader 2025-09-07T11:38:10.2960180Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:38:10.2990043Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3016171Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T11:38:10.3044816Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3071908Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T11:38:10.3102409Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3130098Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T11:38:10.3158740Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3185353Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T11:38:10.3212476Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3240365Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T11:38:10.3268177Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3296454Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:38:10.3325144Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3364528Z Entering 'third_party/pocketfft' 2025-09-07T11:38:10.3395334Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3420482Z Entering 'third_party/protobuf' 2025-09-07T11:38:10.3448803Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3475236Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:38:10.3504320Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3531265Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:38:10.3558235Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3585222Z Entering 'third_party/psimd' 2025-09-07T11:38:10.3615087Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3640806Z Entering 'third_party/pthreadpool' 2025-09-07T11:38:10.3671739Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3698394Z Entering 'third_party/pybind11' 2025-09-07T11:38:10.3729354Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3757038Z Entering 'third_party/python-peachpy' 2025-09-07T11:38:10.3784793Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3810098Z Entering 'third_party/sleef' 2025-09-07T11:38:10.3840005Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3866785Z Entering 'third_party/tensorpipe' 2025-09-07T11:38:10.3897442Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3922718Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:38:10.3951310Z http.https://github.com/.extraheader 2025-09-07T11:38:10.3976703Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:38:10.4004107Z http.https://github.com/.extraheader 2025-09-07T11:38:10.4027402Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:38:10.4057459Z http.https://github.com/.extraheader 2025-09-07T11:38:10.4083819Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:38:10.4112905Z http.https://github.com/.extraheader 2025-09-07T11:38:10.4138131Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:38:10.4167206Z http.https://github.com/.extraheader 2025-09-07T11:38:10.4261072Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T11:38:10.4271745Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T11:38:10.4275105Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:38:10.4275381Z ##[endgroup] 2025-09-07T11:38:10.4342654Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T11:38:17.7342633Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T11:38:29.9481060Z Cleaning up orphan processes