2025-09-07T06:40:48.9853843Z Current runner version: '2.328.0' 2025-09-07T06:40:48.9859224Z Runner name: 'i-01c485c335adab862' 2025-09-07T06:40:48.9859898Z Runner group name: 'default' 2025-09-07T06:40:48.9860724Z Machine name: 'ip-10-0-43-161' 2025-09-07T06:40:48.9863117Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T06:40:48.9865551Z Contents: read 2025-09-07T06:40:48.9866145Z Metadata: read 2025-09-07T06:40:48.9866621Z ##[endgroup] 2025-09-07T06:40:48.9868603Z Secret source: Actions 2025-09-07T06:40:48.9869343Z Prepare workflow directory 2025-09-07T06:40:49.0313044Z Prepare all required actions 2025-09-07T06:40:49.0349685Z Getting action download info 2025-09-07T06:40:49.3433535Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T06:40:50.9534274Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T06:41:05.9258421Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T06:41:06.1930250Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T06:41:06.3945224Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T06:41:06.5365824Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T06:41:06.7857631Z Getting action download info 2025-09-07T06:41:06.8856615Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T06:41:07.1107785Z Getting action download info 2025-09-07T06:41:07.2178319Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T06:41:07.3835684Z Getting action download info 2025-09-07T06:41:07.5070529Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T06:41:07.6771408Z Getting action download info 2025-09-07T06:41:07.8113746Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T06:41:07.8117629Z ##[group] Inputs 2025-09-07T06:41:07.8117962Z build-environment: linux-jammy-py3.9-gcc11-build 2025-09-07T06:41:07.8119764Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T06:41:07.8121896Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:41:07.8122520Z sync-tag: 2025-09-07T06:41:07.8123240Z timeout-minutes: 240 2025-09-07T06:41:07.8123444Z use-gha: 2025-09-07T06:41:07.8123643Z dashboard-tag: 2025-09-07T06:41:07.8123850Z s3-bucket: gha-artifacts 2025-09-07T06:41:07.8124062Z aws-role-to-assume: 2025-09-07T06:41:07.8124473Z disable-monitor: false 2025-09-07T06:41:07.8124707Z monitor-log-interval: 5 2025-09-07T06:41:07.8125321Z monitor-data-collect-interval: 1 2025-09-07T06:41:07.8125648Z ##[endgroup] 2025-09-07T06:41:07.8125981Z Complete job name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:41:07.8668511Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T06:41:07.8761242Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T06:41:07.8769962Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:41:07.8770615Z ##[endgroup] 2025-09-07T06:41:08.9762699Z Runner Type: linux.8xlarge.amx 2025-09-07T06:41:08.9763357Z Instance Type: m7i-flex.8xlarge 2025-09-07T06:41:08.9763697Z AMI Name: unknown 2025-09-07T06:41:08.9802592Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T06:41:13.8051965Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T06:41:13.8052511Z with: 2025-09-07T06:41:13.8053226Z github-secret: *** 2025-09-07T06:41:13.8053778Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T06:41:13.8054405Z activate-with-label: false 2025-09-07T06:41:13.8054701Z label: with-ssh 2025-09-07T06:41:13.8054925Z remove-existing-keys: true 2025-09-07T06:41:13.8055251Z fail-silently: true 2025-09-07T06:41:13.8055515Z env: 2025-09-07T06:41:13.8055800Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:13.8056071Z ##[endgroup] 2025-09-07T06:41:13.9312728Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T06:41:13.9313495Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T06:41:13.9565589Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T06:41:13.9565918Z with: 2025-09-07T06:41:13.9566095Z no-sudo: true 2025-09-07T06:41:13.9566289Z submodules: recursive 2025-09-07T06:41:13.9566502Z fetch-depth: 0 2025-09-07T06:41:13.9566678Z env: 2025-09-07T06:41:13.9566851Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:13.9567070Z ##[endgroup] 2025-09-07T06:41:13.9641329Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:41:13.9642013Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:41:13.9650914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:41:13.9651219Z env: 2025-09-07T06:41:13.9651438Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:13.9651683Z ##[endgroup] 2025-09-07T06:41:13.9737668Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T06:41:13.9738037Z # Use all available CPUs for fetching 2025-09-07T06:41:13.9738291Z cd "${GITHUB_WORKSPACE}" 2025-09-07T06:41:13.9738540Z git config --global fetch.parallel 0 2025-09-07T06:41:13.9738836Z git config --global submodule.fetchJobs 0 2025-09-07T06:41:13.9739083Z  2025-09-07T06:41:13.9739360Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T06:41:13.9739680Z # do it here as well just in case 2025-09-07T06:41:13.9739912Z if [[ -d .git ]]; then 2025-09-07T06:41:13.9740122Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T06:41:13.9740347Z  sudo git clean -ffdx 2025-09-07T06:41:13.9740555Z  else 2025-09-07T06:41:13.9740740Z  git clean -ffdx 2025-09-07T06:41:13.9740930Z  fi 2025-09-07T06:41:13.9741099Z fi 2025-09-07T06:41:13.9746371Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:41:13.9746650Z env: 2025-09-07T06:41:13.9746950Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:13.9747179Z NO_SUDO: true 2025-09-07T06:41:13.9747357Z ##[endgroup] 2025-09-07T06:41:13.9882663Z ##[group]Run actions/checkout@v4 2025-09-07T06:41:13.9882927Z with: 2025-09-07T06:41:13.9883135Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:41:13.9883570Z fetch-depth: 0 2025-09-07T06:41:13.9883766Z submodules: recursive 2025-09-07T06:41:13.9883971Z show-progress: false 2025-09-07T06:41:13.9884178Z repository: pytorch/pytorch 2025-09-07T06:41:13.9884475Z token: *** 2025-09-07T06:41:13.9884651Z ssh-strict: true 2025-09-07T06:41:13.9884834Z ssh-user: git 2025-09-07T06:41:13.9885023Z persist-credentials: true 2025-09-07T06:41:13.9885223Z clean: true 2025-09-07T06:41:13.9885442Z sparse-checkout-cone-mode: true 2025-09-07T06:41:13.9885669Z fetch-tags: false 2025-09-07T06:41:13.9885846Z lfs: false 2025-09-07T06:41:13.9886020Z set-safe-directory: true 2025-09-07T06:41:13.9886230Z env: 2025-09-07T06:41:13.9886399Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:41:13.9886596Z ##[endgroup] 2025-09-07T06:41:14.0851580Z Syncing repository: pytorch/pytorch 2025-09-07T06:41:14.0852775Z ##[group]Getting Git version info 2025-09-07T06:41:14.0853161Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T06:41:14.0853672Z [command]/usr/bin/git version 2025-09-07T06:41:14.1046032Z git version 2.47.1 2025-09-07T06:41:14.1082665Z ##[endgroup] 2025-09-07T06:41:14.1089354Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/d18ae724-4694-4d06-be8f-a9fcbc7959ad/.gitconfig' 2025-09-07T06:41:14.1119094Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d18ae724-4694-4d06-be8f-a9fcbc7959ad' before making global git config changes 2025-09-07T06:41:14.1119778Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T06:41:14.1120881Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T06:41:14.1168632Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T06:41:14.1178937Z ##[group]Initializing the repository 2025-09-07T06:41:14.1182057Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T06:41:14.1241610Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T06:41:14.1242097Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T06:41:14.1242493Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T06:41:14.1242856Z hint: 2025-09-07T06:41:14.1243118Z hint: git config --global init.defaultBranch 2025-09-07T06:41:14.1243407Z hint: 2025-09-07T06:41:14.1243651Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T06:41:14.1244061Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T06:41:14.1244416Z hint: 2025-09-07T06:41:14.1244602Z hint: git branch -m 2025-09-07T06:41:14.1266435Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T06:41:14.1276279Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T06:41:14.1319374Z ##[endgroup] 2025-09-07T06:41:14.1319928Z ##[group]Disabling automatic garbage collection 2025-09-07T06:41:14.1320611Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T06:41:14.1354529Z ##[endgroup] 2025-09-07T06:41:14.1359122Z ##[group]Setting up auth 2025-09-07T06:41:14.1365106Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T06:41:14.1387588Z [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' || :" 2025-09-07T06:41:14.1739086Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T06:41:14.1765578Z [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' || :" 2025-09-07T06:41:14.2101457Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T06:41:14.2161382Z ##[endgroup] 2025-09-07T06:41:14.2161780Z ##[group]Fetching the repository 2025-09-07T06:41:14.2166058Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T06:42:00.9000294Z From https://github.com/pytorch/pytorch 2025-09-07T06:42:00.9001147Z * [new branch] 160583 -> origin/160583 2025-09-07T06:42:00.9001525Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T06:42:00.9002039Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T06:42:00.9005850Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T06:42:00.9006498Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T06:42:00.9006931Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T06:42:00.9007422Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T06:42:00.9007881Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T06:42:00.9008581Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T06:42:00.9009029Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T06:42:00.9009811Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T06:42:00.9010202Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T06:42:00.9010576Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T06:42:00.9010962Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T06:42:00.9011340Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T06:42:00.9011746Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T06:42:00.9012212Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T06:42:00.9012657Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T06:42:00.9013074Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T06:42:00.9013469Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T06:42:00.9013831Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T06:42:00.9014163Z * [new branch] addsimde -> origin/addsimde 2025-09-07T06:42:00.9014478Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T06:42:00.9014808Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T06:42:00.9015138Z * [new branch] adi/test -> origin/adi/test 2025-09-07T06:42:00.9015465Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T06:42:00.9015852Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T06:42:00.9016224Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T06:42:00.9016667Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T06:42:00.9017013Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T06:42:00.9022258Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T06:42:00.9022727Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T06:42:00.9023411Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T06:42:00.9023791Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T06:42:00.9024211Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T06:42:00.9024643Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T06:42:00.9025035Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T06:42:00.9025414Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T06:42:00.9025855Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T06:42:00.9026303Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T06:42:00.9026706Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T06:42:00.9027101Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T06:42:00.9027542Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T06:42:00.9030116Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T06:42:00.9033002Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T06:42:00.9033982Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T06:42:00.9034441Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T06:42:00.9034836Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T06:42:00.9035189Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T06:42:00.9035551Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T06:42:00.9035939Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T06:42:00.9036298Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T06:42:00.9038105Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T06:42:00.9038468Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T06:42:00.9038832Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T06:42:00.9039175Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T06:42:00.9039566Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T06:42:00.9040029Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T06:42:00.9040495Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T06:42:00.9040831Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T06:42:00.9041167Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T06:42:00.9043011Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 2025-09-07T06:42:00.9043874Z * [new branch] atalman-patch-6 -> origin/atalman-patch-6 2025-09-07T06:42:00.9044387Z * [new branch] atalman_inductor_2.3.0 -> origin/atalman_inductor_2.3.0 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ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T06:42:01.2878834Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T06:42:01.2879037Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T06:42:01.2879249Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T06:42:01.2879426Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T06:42:01.2879583Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T06:42:01.2879746Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T06:42:01.2880062Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T06:42:01.2880210Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T06:42:01.2880365Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T06:42:01.2880513Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T06:42:01.2880671Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T06:42:01.2880815Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T06:42:01.2882025Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T06:42:01.2882169Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T06:42:01.2882389Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T06:42:01.2883582Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T06:42:01.2883899Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T06:42:01.2884051Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T06:42:01.2884199Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T06:42:01.2885346Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T06:42:01.2885944Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T06:42:01.2886119Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T06:42:01.2886258Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T06:42:01.2886879Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T06:42:01.2887313Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T06:42:01.2889260Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T06:42:01.2889434Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T06:42:01.2890083Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T06:42:01.2890410Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T06:42:01.2890876Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T06:42:01.2901717Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T06:42:01.2930179Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T06:42:01.2969536Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T06:42:01.2969746Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T06:42:01.2969912Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T06:42:01.2970059Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T06:42:01.2970219Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T06:42:01.2970369Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T06:42:01.2970530Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T06:42:01.2970677Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T06:42:01.2970832Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T06:42:01.2971005Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T06:42:01.2971881Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T06:42:01.2972412Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T06:42:01.2972579Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T06:42:01.2972740Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T06:42:01.2973203Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T06:42:01.2973377Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T06:42:01.2973513Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T06:42:01.2973658Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T06:42:01.2973839Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T06:42:01.2974014Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T06:42:01.2974152Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T06:42:01.2974290Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T06:42:01.2974417Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T06:42:01.2974553Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T06:42:01.2974681Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T06:42:01.2975022Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T06:42:01.2975165Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T06:42:01.2975296Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T06:42:01.2975431Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T06:42:01.2975563Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T06:42:01.2975692Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T06:42:01.2975826Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T06:42:01.2975953Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T06:42:01.2976090Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T06:42:01.2976219Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T06:42:01.2976353Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T06:42:01.2976478Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T06:42:01.2976603Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T06:42:01.2976741Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T06:42:01.2976869Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T06:42:01.2977010Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T06:42:01.2977136Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T06:42:01.2977261Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T06:42:01.2977398Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T06:42:01.2977522Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T06:42:01.2977656Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T06:42:01.2977780Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T06:42:01.2977962Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T06:42:01.2978089Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T06:42:01.2978216Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T06:42:01.2978350Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T06:42:01.2978474Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T06:42:01.2978610Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T06:42:01.2978766Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T06:42:01.2978892Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T06:42:01.2979028Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T06:42:01.2979156Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T06:42:01.2979288Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T06:42:01.2979413Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T06:42:01.2979546Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T06:42:01.2979673Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T06:42:01.2979838Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T06:42:01.2979973Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T06:42:01.2980098Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T06:42:01.2980270Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T06:42:01.2980401Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T06:42:01.2980992Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T06:42:01.2981189Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T06:42:01.2981334Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T06:42:01.2981504Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T06:42:01.2981643Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T06:42:01.2981781Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T06:42:01.2981909Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T06:42:01.2982036Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T06:42:01.2982177Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T06:42:01.2982303Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T06:42:01.2982472Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T06:42:01.2982609Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T06:42:01.2982733Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T06:42:01.2982871Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T06:42:01.2982999Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T06:42:01.2983129Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T06:42:01.2983255Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T06:42:01.2983387Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T06:42:01.2983561Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T06:42:01.2983685Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T06:42:01.2983820Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T06:42:01.2983946Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T06:42:01.2984112Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T06:42:01.2984240Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T06:42:01.2984374Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T06:42:01.2984497Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T06:42:01.2984629Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T06:42:01.2984757Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T06:42:01.2984885Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T06:42:01.2985016Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T06:42:01.2985140Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T06:42:01.2985274Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T06:42:01.2985436Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T06:42:01.2985576Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T06:42:01.2985703Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T06:42:01.2985829Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T06:42:01.2985968Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T06:42:01.2986094Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T06:42:01.2986228Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T06:42:01.2986357Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T06:42:01.2986483Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T06:42:01.2986623Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T06:42:01.2986749Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T06:42:01.2986884Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T06:42:01.2987009Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T06:42:01.2987147Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T06:42:01.2987275Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T06:42:01.2987403Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T06:42:01.2987537Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T06:42:01.2987665Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T06:42:01.2987802Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T06:42:01.2987929Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T06:42:01.2988056Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T06:42:01.2988189Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T06:42:01.2988373Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T06:42:01.2988507Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T06:42:01.2988635Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T06:42:01.2988770Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T06:42:01.2988897Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T06:42:01.2989026Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T06:42:01.2989162Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T06:42:01.2989288Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T06:42:01.2989423Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T06:42:01.2989552Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T06:42:01.2989677Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T06:42:01.2989811Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T06:42:01.2989936Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T06:42:01.2990071Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T06:42:01.2990238Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T06:42:01.2990375Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T06:42:01.2990501Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T06:42:01.2990628Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T06:42:01.2990764Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T06:42:01.2990891Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T06:42:01.2991025Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T06:42:01.2991149Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T06:42:01.2991276Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T06:42:01.2991411Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T06:42:01.2991536Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T06:42:01.2991668Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T06:42:01.2991793Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T06:42:01.2991926Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T06:42:01.2992056Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T06:42:01.2992181Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T06:42:01.2992315Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T06:42:01.2992439Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T06:42:01.2992574Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T06:42:01.2992701Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T06:42:01.2992827Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T06:42:01.2992959Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T06:42:01.2993085Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T06:42:01.2993257Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T06:42:01.2993384Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T06:42:01.2993517Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T06:42:01.2993642Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T06:42:01.2993767Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T06:42:01.2993908Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T06:42:01.2994036Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T06:42:01.2994185Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T06:42:01.2994323Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T06:42:01.2994467Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T06:42:01.2994622Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T06:42:01.2994767Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T06:42:01.2994916Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T06:42:01.2995057Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T06:42:01.2995223Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T06:42:01.2995347Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T06:42:01.2995463Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T06:42:01.2995586Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T06:42:01.2995703Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T06:42:01.2995845Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T06:42:01.2995977Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T06:42:01.2996134Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T06:42:01.2996328Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T06:42:01.2996509Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T06:42:01.2996658Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T06:42:01.2996790Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T06:42:01.2996926Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T06:42:01.2997058Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T06:42:01.2997194Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T06:42:01.2997347Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T06:42:01.2997494Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T06:42:01.2997630Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T06:42:01.2997777Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T06:42:01.2997936Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T06:42:01.2998102Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T06:42:01.2998261Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T06:42:01.2998510Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T06:42:01.2998670Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T06:42:01.2998938Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T06:42:01.2999132Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T06:42:01.2999272Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T06:42:01.2999416Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T06:42:01.2999563Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T06:42:01.2999700Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T06:42:01.2999828Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T06:42:01.2999969Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T06:42:01.3000096Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T06:42:01.3000230Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T06:42:01.3000358Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T06:42:01.3000485Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T06:42:01.3000658Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T06:42:01.3000789Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T06:42:01.3000925Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T06:42:01.3001051Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T06:42:01.3001178Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T06:42:01.3001306Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T06:42:01.3001421Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T06:42:01.3001546Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T06:42:01.3001660Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T06:42:01.3001787Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T06:42:01.3001902Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T06:42:01.3002018Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T06:42:01.3002139Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T06:42:01.3002257Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T06:42:01.3002380Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T06:42:01.3002496Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T06:42:01.3002610Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T06:42:01.3002737Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T06:42:01.3002861Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T06:42:01.3002982Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T06:42:01.3003107Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T06:42:01.3003235Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T06:42:01.3003589Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T06:42:01.3003749Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T06:42:01.3003883Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T06:42:01.3004006Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T06:42:01.3004135Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T06:42:01.3004258Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T06:42:01.3004386Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T06:42:01.3004506Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T06:42:01.3004626Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T06:42:01.3005327Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T06:42:01.3005474Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T06:42:01.3005861Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T06:42:01.3006303Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T06:42:01.3007796Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T06:42:01.3009537Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T06:42:01.3009937Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T06:42:01.3010079Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T06:42:01.3010533Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T06:42:01.3010770Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T06:42:01.3012425Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T06:42:01.3012662Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T06:42:01.3012800Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T06:42:01.3012933Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T06:42:01.3013064Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T06:42:01.3013243Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T06:42:01.3013805Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T06:42:01.3014963Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T06:42:01.3015402Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T06:42:01.3015560Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T06:42:01.3015870Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T06:42:01.3016842Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T06:42:01.3017038Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T06:42:01.3018054Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T06:42:01.3018329Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T06:42:01.3018947Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T06:42:01.3019131Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T06:42:01.3019573Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T06:42:01.3020583Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T06:42:01.3020723Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T06:42:01.3022803Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T06:42:01.3023230Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T06:42:01.3023830Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T06:42:01.3024054Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T06:42:01.3024202Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T06:42:01.3024324Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T06:42:01.3024451Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T06:42:01.3024789Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T06:42:01.3024943Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T06:42:01.3026288Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T06:42:01.3026921Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T06:42:01.3027240Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T06:42:01.3027694Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T06:42:01.3027844Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T06:42:01.3027971Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T06:42:01.3028550Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T06:42:01.3028802Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T06:42:01.3029795Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T06:42:01.3030087Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T06:42:01.3030632Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T06:42:01.3031685Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T06:42:01.3031954Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T06:42:01.3032157Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T06:42:01.3032717Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T06:42:01.3033099Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T06:42:01.3033713Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T06:42:01.3034144Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T06:42:01.3035220Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T06:42:01.3035447Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T06:42:01.3035730Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T06:42:01.3036214Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T06:42:01.3036717Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T06:42:01.3037289Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T06:42:01.3037658Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T06:42:01.3038148Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T06:42:01.3038560Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T06:42:01.3039116Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T06:42:01.3039452Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T06:42:01.3040041Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T06:42:01.3040396Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T06:42:01.3041090Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T06:42:01.3041432Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T06:42:01.3041861Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T06:42:01.3042438Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T06:42:01.3043087Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T06:42:01.3043566Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T06:42:01.3044106Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T06:42:01.3045666Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T06:42:01.3045982Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T06:42:01.3046298Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T06:42:01.3046437Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T06:42:01.3048366Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T06:42:01.3048988Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T06:42:01.3049112Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T06:42:01.3049298Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T06:42:01.3049419Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T06:42:01.3049546Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T06:42:01.3049905Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T06:42:01.3050291Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T06:42:01.3052318Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T06:42:01.3052479Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T06:42:01.3052611Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T06:42:01.3052730Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T06:42:01.3055140Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T06:42:01.3055588Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T06:42:01.3055756Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T06:42:01.3055882Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T06:42:01.3056006Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T06:42:01.3056166Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T06:42:01.3056338Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T06:42:01.3056471Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T06:42:01.3056588Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T06:42:01.3056949Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T06:42:01.3057091Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T06:42:01.3057542Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T06:42:01.3058201Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T06:42:01.3058764Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T06:42:01.3059187Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T06:42:01.3059589Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T06:42:01.3060147Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T06:42:01.3060565Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T06:42:01.3065011Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T06:42:01.3065187Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T06:42:01.3065339Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T06:42:01.3065491Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T06:42:01.3065616Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T06:42:01.3065746Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T06:42:01.3066028Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T06:42:01.3066167Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T06:42:01.3066288Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T06:42:01.3066417Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T06:42:01.3066547Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T06:42:01.3066671Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T06:42:01.3067488Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T06:42:01.3068234Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T06:42:01.3069018Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T06:42:01.3069426Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T06:42:01.3069595Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T06:42:01.3070134Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T06:42:01.3070558Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T06:42:01.3072106Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T06:42:01.3072258Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T06:42:01.3072389Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T06:42:01.3072524Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T06:42:01.3072688Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T06:42:01.3073236Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T06:42:01.3073881Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T06:42:01.3074388Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T06:42:01.3076390Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T06:42:01.3076557Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T06:42:01.3076862Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T06:42:01.3076991Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T06:42:01.3077841Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T06:42:01.3077983Z * [new tag] cslpull75 -> cslpull75 2025-09-07T06:42:01.3078276Z * [new tag] cslpull76 -> cslpull76 2025-09-07T06:42:01.3079615Z * [new tag] cslpull77 -> cslpull77 2025-09-07T06:42:01.3080219Z * [new tag] cslpull78 -> cslpull78 2025-09-07T06:42:01.3080439Z * [new tag] cslpull79 -> cslpull79 2025-09-07T06:42:01.3082697Z * [new tag] cslpull80 -> cslpull80 2025-09-07T06:42:01.3083481Z * [new tag] cslpull81 -> cslpull81 2025-09-07T06:42:01.3083655Z * [new tag] cslpull82 -> cslpull82 2025-09-07T06:42:01.3086163Z * [new tag] cslpull83 -> cslpull83 2025-09-07T06:42:01.3086325Z * [new tag] cslpull84 -> cslpull84 2025-09-07T06:42:01.3086436Z * [new tag] cslpull85 -> cslpull85 2025-09-07T06:42:01.3086552Z * [new tag] cslpull86 -> cslpull86 2025-09-07T06:42:01.3086658Z * [new tag] cslpull87 -> cslpull87 2025-09-07T06:42:01.3086906Z * [new tag] cslpull88 -> cslpull88 2025-09-07T06:42:01.3087024Z * [new tag] cslpull89 -> cslpull89 2025-09-07T06:42:01.3087128Z * [new tag] cslpull90 -> cslpull90 2025-09-07T06:42:01.3087274Z * [new tag] cslpull91 -> cslpull91 2025-09-07T06:42:01.3087816Z * [new tag] cslpull92 -> cslpull92 2025-09-07T06:42:01.3089167Z * [new tag] flight_5 -> flight_5 2025-09-07T06:42:01.3089309Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T06:42:01.3089746Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T06:42:01.3090238Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T06:42:01.3091415Z * [new tag] forpull1 -> forpull1 2025-09-07T06:42:01.3092553Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T06:42:01.3092741Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T06:42:01.3092867Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T06:42:01.3093496Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T06:42:01.3093844Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T06:42:01.3094852Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T06:42:01.3095274Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T06:42:01.3097671Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T06:42:01.3098002Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T06:42:01.3098280Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T06:42:01.3098542Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T06:42:01.3098829Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T06:42:01.3099592Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T06:42:01.3100224Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T06:42:01.3100999Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T06:42:01.3101638Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T06:42:01.3102248Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T06:42:01.3102537Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T06:42:01.3106023Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T06:42:01.3106320Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T06:42:01.3106580Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T06:42:01.3106939Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T06:42:01.3107368Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T06:42:01.3107623Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T06:42:01.3107911Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T06:42:01.3108547Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T06:42:01.3109035Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T06:42:01.3109692Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T06:42:01.3110287Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T06:42:01.3110865Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T06:42:01.3114632Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T06:42:01.3114949Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T06:42:01.3115228Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T06:42:01.3115486Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T06:42:01.3115729Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T06:42:01.3115991Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T06:42:01.3116250Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T06:42:01.3116496Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T06:42:01.3116929Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T06:42:01.3117456Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T06:42:01.3118008Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T06:42:01.3118577Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T06:42:01.3119274Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T06:42:01.3119798Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T06:42:01.3120474Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T06:42:01.3122499Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T06:42:01.3122911Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T06:42:01.3123181Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T06:42:01.3123759Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T06:42:01.3124015Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T06:42:01.3125164Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T06:42:01.3125431Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T06:42:01.3125696Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T06:42:01.3125927Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T06:42:01.3126539Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T06:42:01.3127122Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T06:42:01.3127722Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T06:42:01.3129128Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T06:42:01.3129392Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T06:42:01.3129646Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T06:42:01.3130186Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T06:42:01.3130722Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T06:42:01.3131700Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T06:42:01.3131958Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T06:42:01.3132920Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T06:42:01.3133613Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T06:42:01.3133872Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T06:42:01.3134140Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T06:42:01.3134805Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T06:42:01.3135349Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T06:42:01.3136633Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T06:42:01.3136926Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T06:42:01.3137401Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T06:42:01.3137668Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T06:42:01.3138413Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T06:42:01.3139000Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T06:42:01.3139311Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T06:42:01.3139829Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T06:42:01.3140447Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T06:42:01.3141025Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T06:42:01.3142351Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T06:42:01.3143128Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T06:42:01.3144471Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T06:42:01.3144735Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T06:42:01.3145031Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T06:42:01.3145325Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T06:42:01.3145584Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T06:42:01.3147470Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T06:42:01.3152093Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T06:42:01.3152579Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T06:42:01.3153195Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T06:42:01.3153893Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T06:42:01.3154394Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T06:42:01.3155573Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T06:42:01.3156071Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T06:42:01.3156390Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T06:42:01.3156698Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T06:42:01.3157377Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T06:42:01.3157825Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T06:42:01.3158587Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T06:42:01.3159086Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T06:42:01.3159711Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T06:42:01.3160395Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T06:42:01.3161542Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T06:42:01.3162946Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T06:42:01.3163211Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T06:42:01.3163461Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T06:42:01.3163702Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T06:42:01.3165629Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T06:42:01.3165906Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T06:42:01.3166166Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T06:42:01.3166442Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T06:42:01.3166963Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T06:42:01.3167262Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T06:42:01.3167827Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T06:42:01.3168896Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T06:42:01.3169358Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T06:42:01.3169934Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T06:42:01.3170761Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T06:42:01.3171094Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T06:42:01.3172522Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T06:42:01.3172775Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T06:42:01.3175557Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T06:42:01.3175840Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T06:42:01.3176147Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T06:42:01.3176412Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T06:42:01.3176676Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T06:42:01.3177086Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T06:42:01.3177356Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T06:42:01.3177601Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T06:42:01.3177863Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T06:42:01.3178120Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T06:42:01.3178585Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T06:42:01.3179211Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T06:42:01.3179799Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T06:42:01.3180520Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T06:42:01.3182702Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T06:42:01.3183044Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T06:42:01.3183336Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T06:42:01.3183608Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T06:42:01.3183867Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T06:42:01.3184159Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T06:42:01.3186558Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T06:42:01.3187988Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T06:42:01.3188430Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T06:42:01.3188713Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T06:42:01.3188974Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T06:42:01.3189261Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T06:42:01.3189533Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T06:42:01.3190455Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T06:42:01.3190965Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T06:42:01.3191674Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T06:42:01.3192952Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:42:01.3193240Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T06:42:01.3193591Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T06:42:01.3194786Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T06:42:01.3195345Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T06:42:01.3197324Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T06:42:01.3197604Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T06:42:01.3197856Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T06:42:01.3198143Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T06:42:01.3198386Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T06:42:01.3198648Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T06:42:01.3199234Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T06:42:01.3199564Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T06:42:01.3200588Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T06:42:01.3200866Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T06:42:01.3202550Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T06:42:01.3203356Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T06:42:01.3203642Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T06:42:01.3204076Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T06:42:01.3204349Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T06:42:01.3204824Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T06:42:01.3205414Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T06:42:01.3205720Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T06:42:01.3206196Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T06:42:01.3206858Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T06:42:01.3207563Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T06:42:01.3208121Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T06:42:01.3208642Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T06:42:01.3212258Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T06:42:01.3212981Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T06:42:01.3213305Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T06:42:01.3213601Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T06:42:01.3213874Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T06:42:01.3214148Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T06:42:01.3219675Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T06:42:01.3220019Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T06:42:01.3220289Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T06:42:01.3220536Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T06:42:01.3220877Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T06:42:01.3221144Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T06:42:01.3221391Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T06:42:01.3221656Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T06:42:01.3221910Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T06:42:01.3222176Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T06:42:01.3222422Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T06:42:01.3222851Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T06:42:01.3223111Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T06:42:01.3223380Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T06:42:01.3223653Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T06:42:01.3223902Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T06:42:01.3224152Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T06:42:01.3224403Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T06:42:01.3224658Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T06:42:01.3224890Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T06:42:01.3225311Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T06:42:01.3225766Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T06:42:01.3226616Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T06:42:01.3227054Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T06:42:01.3227746Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T06:42:01.3228370Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T06:42:01.3229034Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T06:42:01.3229649Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T06:42:01.3230244Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T06:42:01.3230872Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T06:42:01.3231841Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T06:42:01.3232289Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T06:42:01.3232769Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T06:42:01.3233481Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T06:42:01.3234086Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T06:42:01.3234676Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T06:42:01.3235322Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T06:42:01.3235834Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T06:42:01.3236514Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T06:42:01.3237140Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T06:42:01.3237751Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T06:42:01.3238868Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T06:42:01.3239244Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T06:42:01.3240155Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T06:42:01.3240549Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T06:42:01.3242943Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T06:42:01.3243249Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T06:42:01.3243697Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T06:42:01.3243962Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T06:42:01.3244231Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T06:42:01.3244924Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T06:42:01.3245419Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T06:42:01.3245854Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T06:42:01.3246277Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T06:42:01.3248980Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T06:42:01.3249248Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T06:42:01.3254466Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T06:42:01.3258320Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T06:42:01.3258673Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T06:42:01.3258945Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T06:42:01.3259208Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T06:42:01.3259479Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T06:42:01.3259731Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T06:42:01.3259993Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T06:42:01.3260477Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T06:42:01.3260731Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T06:42:01.3260996Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T06:42:01.3261258Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T06:42:01.3261510Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T06:42:01.3261761Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T06:42:01.3262025Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T06:42:01.3262282Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T06:42:01.3262543Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T06:42:01.3262849Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T06:42:01.3263113Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T06:42:01.3263389Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T06:42:01.3263634Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T06:42:01.3264050Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T06:42:01.3264386Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T06:42:01.3265155Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T06:42:01.3265475Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T06:42:01.3265749Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T06:42:01.3266722Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T06:42:01.3267012Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T06:42:01.3267285Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T06:42:01.3267917Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T06:42:01.3268588Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T06:42:01.3269211Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T06:42:01.3273213Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T06:42:01.3273538Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T06:42:01.3273967Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T06:42:01.3274225Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T06:42:01.3274467Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T06:42:01.3274596Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T06:42:01.3274714Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T06:42:01.3274821Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T06:42:01.3275319Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T06:42:01.3276676Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T06:42:01.3277129Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T06:42:01.3277295Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T06:42:01.3277840Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T06:42:01.3278137Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T06:42:01.3279468Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T06:42:01.3280036Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T06:42:01.3280756Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T06:42:01.3280911Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T06:42:01.3281029Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T06:42:01.3281961Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T06:42:01.3282227Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T06:42:01.3282848Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T06:42:01.3283361Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T06:42:01.3284723Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T06:42:01.3284837Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T06:42:01.3284948Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T06:42:01.3285462Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T06:42:01.3286008Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T06:42:01.3286903Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T06:42:01.3287426Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T06:42:01.3288412Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T06:42:01.3288924Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T06:42:01.3289385Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T06:42:01.3292428Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T06:42:01.3292586Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T06:42:01.3292696Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T06:42:01.3292816Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T06:42:01.3292946Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T06:42:01.3293067Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T06:42:01.3293425Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T06:42:01.3294972Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T06:42:01.3295118Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T06:42:01.3295294Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T06:42:01.3295536Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T06:42:01.3298068Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T06:42:01.3298213Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T06:42:01.3298329Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T06:42:01.3298444Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T06:42:01.3298602Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T06:42:01.3300099Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T06:42:01.3300380Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T06:42:01.3302908Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T06:42:01.3303078Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T06:42:01.3303199Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T06:42:01.3303312Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T06:42:01.3303419Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T06:42:01.3303535Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T06:42:01.3303963Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T06:42:01.3308781Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T06:42:01.3308926Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T06:42:01.3309070Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T06:42:01.3309181Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T06:42:01.3309302Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T06:42:01.3309411Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T06:42:01.3309555Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T06:42:01.3309667Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T06:42:01.3309771Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T06:42:01.3309888Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T06:42:01.3311300Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T06:42:01.3316458Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T06:42:01.3316598Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T06:42:01.3316714Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T06:42:01.3316828Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T06:42:01.3316945Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T06:42:01.3317048Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T06:42:01.3317151Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T06:42:01.3317249Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T06:42:01.3317471Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T06:42:01.3317617Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T06:42:01.3317730Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T06:42:01.3317837Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T06:42:01.3317945Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T06:42:01.3318046Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T06:42:01.3318309Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T06:42:01.3325282Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T06:42:01.3325421Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T06:42:01.3325912Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T06:42:01.3326054Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T06:42:01.3326162Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T06:42:01.3326280Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T06:42:01.3326392Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T06:42:01.3326495Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T06:42:01.3326604Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T06:42:01.3326720Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T06:42:01.3326833Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T06:42:01.3326936Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T06:42:01.3327036Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T06:42:01.3327157Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T06:42:01.3327257Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T06:42:01.3327498Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T06:42:01.3327620Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T06:42:01.3327847Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T06:42:01.3329157Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T06:42:01.3329543Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T06:42:01.3332943Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T06:42:01.3333079Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T06:42:01.3333203Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T06:42:01.3333306Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T06:42:01.3333426Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T06:42:01.3333574Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T06:42:01.3333678Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T06:42:01.3333788Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T06:42:01.3339547Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T06:42:01.3339697Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T06:42:01.3339851Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T06:42:01.3339962Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T06:42:01.3340074Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T06:42:01.3340180Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T06:42:01.3340286Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T06:42:01.3340398Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T06:42:01.3340509Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T06:42:01.3344638Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T06:42:01.3344783Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T06:42:01.3344902Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T06:42:01.3345201Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T06:42:01.3345311Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T06:42:01.3345424Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T06:42:01.3345530Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T06:42:01.3345645Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T06:42:01.3345948Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T06:42:01.3346072Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T06:42:01.3346187Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T06:42:01.3346290Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T06:42:01.3346400Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T06:42:01.3349017Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T06:42:01.3349301Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T06:42:01.3349419Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T06:42:01.3349520Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T06:42:01.3349622Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T06:42:01.3355193Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T06:42:01.3355623Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T06:42:01.3355764Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T06:42:01.3355875Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T06:42:01.3355987Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T06:42:01.3356092Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T06:42:01.3356208Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T06:42:01.3356327Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T06:42:01.3356429Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T06:42:01.3356540Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T06:42:01.3356645Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T06:42:01.3356755Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T06:42:01.3356862Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T06:42:01.3356964Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T06:42:01.3361416Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T06:42:01.3361554Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T06:42:01.3361836Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T06:42:01.3361939Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T06:42:01.3362048Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T06:42:01.3362148Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T06:42:01.3362266Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T06:42:01.3362363Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T06:42:01.3362480Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T06:42:01.3362588Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T06:42:01.3362685Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T06:42:01.3362789Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T06:42:01.3362894Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T06:42:01.3363403Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T06:42:01.3363769Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T06:42:01.3364214Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T06:42:01.3365942Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T06:42:01.3366085Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T06:42:01.3366232Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T06:42:01.3367138Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T06:42:01.3367448Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T06:42:01.3367879Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T06:42:01.3368636Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T06:42:01.3369899Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T06:42:01.3370040Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T06:42:01.3370264Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T06:42:01.3373685Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T06:42:01.3373985Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T06:42:01.3374116Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T06:42:01.3374414Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T06:42:01.3374661Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T06:42:01.3374916Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T06:42:01.3375564Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T06:42:01.3375724Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T06:42:01.3375846Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T06:42:01.3376359Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T06:42:01.3377034Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T06:42:01.3377458Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T06:42:01.3381485Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T06:42:01.3381661Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T06:42:01.3381875Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T06:42:01.3381986Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T06:42:01.3382098Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T06:42:01.3382222Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T06:42:01.3382329Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T06:42:01.3382881Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T06:42:01.3383873Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T06:42:01.3384529Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T06:42:01.3384697Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T06:42:01.3385137Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T06:42:01.3387860Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T06:42:01.3388010Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T06:42:01.3388116Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T06:42:01.3388228Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T06:42:01.3393986Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T06:42:01.3394484Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T06:42:01.3394619Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T06:42:01.3394734Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T06:42:01.3394840Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T06:42:01.3394985Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T06:42:01.3395152Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T06:42:01.3395263Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T06:42:01.3395373Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T06:42:01.3395476Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T06:42:01.3395591Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T06:42:01.3395936Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T06:42:01.3396223Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T06:42:01.3396553Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T06:42:01.3398726Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T06:42:01.3398879Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T06:42:01.3399153Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T06:42:01.3399569Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T06:42:01.3399985Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T06:42:01.3400921Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T06:42:01.3401400Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T06:42:01.3402696Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T06:42:01.3402872Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T06:42:01.3403311Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T06:42:01.3404242Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T06:42:01.3404690Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T06:42:01.3405622Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T06:42:01.3406163Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T06:42:01.3406593Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T06:42:01.3408291Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T06:42:01.3408450Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T06:42:01.3409015Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T06:42:01.3410124Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T06:42:01.3410516Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T06:42:01.3412304Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T06:42:01.3412650Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T06:42:01.3413084Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T06:42:01.3414140Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T06:42:01.3414399Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T06:42:01.3415691Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T06:42:01.3415803Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T06:42:01.3416457Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T06:42:01.3417738Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T06:42:01.3417861Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T06:42:01.3418464Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T06:42:01.3901074Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T06:42:01.3926881Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:42:01.3930417Z ##[endgroup] 2025-09-07T06:42:01.3930656Z ##[group]Determining the checkout info 2025-09-07T06:42:01.3930872Z ##[endgroup] 2025-09-07T06:42:01.3935087Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T06:42:01.3981192Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T06:42:01.4007223Z ##[group]Checking out the ref 2025-09-07T06:42:01.4013465Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:42:02.4260390Z Updating files: 94% (18383/19405) 2025-09-07T06:42:02.4387584Z Updating files: 95% (18435/19405) 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You can look around, make experimental 2025-09-07T06:42:02.5260068Z changes and commit them, and you can discard any commits you make in this 2025-09-07T06:42:02.5260420Z state without impacting any branches by switching back to a branch. 2025-09-07T06:42:02.5260630Z 2025-09-07T06:42:02.5260781Z If you want to create a new branch to retain commits you create, you may 2025-09-07T06:42:02.5261112Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T06:42:02.5261289Z 2025-09-07T06:42:02.5261383Z git switch -c 2025-09-07T06:42:02.5261525Z 2025-09-07T06:42:02.5261607Z Or undo this operation with: 2025-09-07T06:42:02.5261738Z 2025-09-07T06:42:02.5261807Z git switch - 2025-09-07T06:42:02.5261905Z 2025-09-07T06:42:02.5262074Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T06:42:02.5262287Z 2025-09-07T06:42:02.5262419Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T06:42:02.5509510Z ##[endgroup] 2025-09-07T06:42:02.5509897Z ##[group]Setting up auth for fetching submodules 2025-09-07T06:42:02.5516184Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T06:42:02.5592670Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T06:42:02.5629574Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T06:42:02.5665064Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T06:42:02.5696749Z ##[endgroup] 2025-09-07T06:42:02.5697087Z ##[group]Fetching submodules 2025-09-07T06:42:02.5701716Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T06:42:02.6042099Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T06:42:02.6370167Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T06:42:02.6387774Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T06:42:02.6388530Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T06:42:02.6409218Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T06:42:02.6425253Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T06:42:02.6427354Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T06:42:02.6440825Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T06:42:02.6458741Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T06:42:02.6459550Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T06:42:02.6478933Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T06:42:02.6496153Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T06:42:02.6500424Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T06:42:02.6513675Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T06:42:02.6527183Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T06:42:02.6527843Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T06:42:02.6542305Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T06:42:02.6560087Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T06:42:02.6563500Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T06:42:02.6580583Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T06:42:02.6593624Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T06:42:02.6596755Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T06:42:02.6614205Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T06:42:02.6629887Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T06:42:02.6632835Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T06:42:02.6649612Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T06:42:02.6669840Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T06:42:02.6670753Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T06:42:02.6689525Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T06:42:02.6705073Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T06:42:02.6710543Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T06:42:02.6723018Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T06:42:02.6732350Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T06:42:02.6737777Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T06:42:02.6760046Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T06:42:02.6777767Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T06:42:02.6783545Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T06:42:02.6799570Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T06:42:02.6833092Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T06:42:02.9119167Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T06:42:02.9119705Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T06:42:02.9120156Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T06:42:02.9149395Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T06:42:04.2626218Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T06:42:04.2627121Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T06:42:04.2627930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T06:42:04.2628770Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T06:42:04.2629618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T06:42:04.2630385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T06:42:04.2631163Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T06:42:04.2631955Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T06:42:04.2632803Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T06:42:04.2633683Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T06:42:04.2634530Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T06:42:04.2635345Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T06:42:04.2636240Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T06:42:04.2637093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T06:42:04.2637761Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T06:42:04.2638213Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T06:42:04.2638705Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T06:42:04.2639189Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T06:42:04.3627454Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T06:42:04.7317760Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T06:42:04.7318924Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T06:42:04.7787239Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T06:42:17.2512884Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T06:42:17.2514051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T06:42:17.2514521Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T06:42:17.2515006Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T06:42:17.2515454Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T06:42:17.2515921Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T06:42:17.2516403Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T06:42:17.2516869Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T06:42:17.2517343Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T06:42:17.2517789Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T06:42:17.2664105Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T06:42:17.2778583Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T06:42:17.2873397Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T06:42:17.3090621Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T06:42:17.3827714Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T06:42:17.4327358Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T06:42:18.0125298Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T06:42:18.1529275Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T06:42:18.1550949Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T06:42:18.1579522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T06:42:22.2100251Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T06:42:22.2321236Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T06:42:22.5043699Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T06:42:22.5472474Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T06:42:22.6384008Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T06:42:22.6804434Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T06:42:23.2429069Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T06:42:23.3721637Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T06:42:23.3746725Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T06:42:23.3749822Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T06:42:23.3751029Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T06:42:23.3751656Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T06:42:23.3754801Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T06:42:23.3755580Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T06:42:23.3756274Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T06:42:23.3785319Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T06:42:24.5426310Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T06:42:24.5426980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T06:42:24.5427548Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T06:42:24.6136161Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T06:42:24.7140085Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T06:42:25.7519505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T06:42:30.0567485Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T06:42:30.2721627Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T06:42:30.3685284Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T06:42:30.9244379Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T06:42:30.9678967Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T06:42:30.9803353Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T06:42:31.0750662Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T06:42:31.1376161Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T06:42:31.1390873Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T06:42:31.1396301Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T06:42:31.1419863Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T06:42:34.9861383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T06:42:35.1832615Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T06:42:35.6804935Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T06:42:35.7989661Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T06:42:35.8312649Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T06:42:35.8680587Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T06:42:35.8916435Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T06:42:35.9344100Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T06:42:35.9475368Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T06:42:35.9489078Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T06:42:35.9514611Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T06:42:49.3839145Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T06:42:49.4027479Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T06:42:49.4928660Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T06:42:49.4947057Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T06:42:49.4951123Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T06:42:49.4952214Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T06:42:49.4978710Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T06:42:50.7235764Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T06:42:50.9818778Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T06:42:51.0572900Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T06:42:51.0590626Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T06:42:51.0591580Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T06:42:51.0592622Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T06:42:51.0594717Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T06:42:51.0596859Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T06:42:51.0598790Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T06:42:51.0600613Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T06:42:51.0604827Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T06:42:51.0633187Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T06:42:52.3767721Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T06:42:52.3769561Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T06:42:52.3770426Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T06:42:52.3771153Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T06:42:52.3771936Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T06:42:52.3772692Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T06:42:52.4770173Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T06:42:59.3567842Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T06:42:59.3732360Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T06:42:59.4072439Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T06:42:59.4210207Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T06:42:59.4226555Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T06:42:59.4252051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T06:42:59.6882394Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T06:42:59.7063580Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T06:42:59.7444587Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T06:42:59.8374541Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T06:42:59.8532249Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T06:42:59.8898060Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T06:42:59.9457905Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T06:42:59.9859110Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T06:43:00.0225448Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T06:43:00.1243852Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T06:43:00.4371002Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T06:43:00.4404924Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T06:43:00.4430566Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T06:43:01.4804627Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T06:43:01.5402254Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T06:43:01.5422822Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T06:43:01.5423627Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T06:43:01.5424463Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T06:43:01.5427301Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T06:43:01.5428310Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T06:43:01.5429301Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T06:43:01.5430256Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T06:43:01.5432221Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:43:01.5461944Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T06:43:01.9457459Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T06:43:01.9458260Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T06:43:01.9459007Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T06:43:01.9459667Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T06:43:02.0457237Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T06:43:02.6318757Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T06:43:09.7407146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T06:43:10.1490110Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T06:43:10.1884648Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T06:43:10.2052670Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out 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2025-09-07T06:43:16.5767332Z [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" 2025-09-07T06:43:16.6080871Z Entering 'android/libs/fbjni' 2025-09-07T06:43:16.6130756Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T06:43:16.6143818Z Entering 'third_party/FP16' 2025-09-07T06:43:16.6195390Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T06:43:16.6215390Z Entering 'third_party/FXdiv' 2025-09-07T06:43:16.6271606Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T06:43:16.6283241Z Entering 'third_party/NNPACK' 2025-09-07T06:43:16.6333910Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T06:43:16.7014260Z Entering 'third_party/cudnn_frontend' 2025-09-07T06:43:16.7064667Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T06:43:16.7083428Z Entering 'third_party/cutlass' 2025-09-07T06:43:16.7131243Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T06:43:16.7155203Z Entering 'third_party/fbgemm' 2025-09-07T06:43:16.7209490Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T06:43:16.7225951Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T06:43:16.7282504Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 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remote.origin.url 2025-09-07T06:43:16.7885105Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T06:43:16.7935697Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T06:43:16.7964708Z Entering 'third_party/flatbuffers' 2025-09-07T06:43:16.8017519Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T06:43:16.8035705Z Entering 'third_party/fmt' 2025-09-07T06:43:16.8088812Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T06:43:16.8104674Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T06:43:16.8156978Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T06:43:16.8175243Z Entering 'third_party/gloo' 2025-09-07T06:43:16.8229166Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T06:43:16.8247768Z Entering 'third_party/googletest' 2025-09-07T06:43:16.8302421Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T06:43:16.8316926Z Entering 'third_party/ideep' 2025-09-07T06:43:16.8372505Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T06:43:16.8388194Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T06:43:16.8435904Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T06:43:16.8464336Z Entering 'third_party/ittapi' 2025-09-07T06:43:16.8515811Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T06:43:16.8532941Z Entering 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T06:43:16.8816534Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T06:43:16.8870143Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T06:43:16.8893840Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T06:43:16.8941228Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T06:43:16.8958393Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T06:43:16.9012407Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T06:43:16.9030374Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T06:43:16.9084788Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T06:43:16.9101928Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T06:43:16.9150755Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T06:43:16.9167336Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T06:43:16.9216718Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T06:43:16.9231287Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T06:43:16.9285959Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T06:43:16.9304222Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T06:43:16.9351339Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T06:43:16.9368383Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T06:43:16.9418857Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T06:43:16.9437148Z Entering 'third_party/kleidiai' 2025-09-07T06:43:16.9490558Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T06:43:16.9508170Z Entering 'third_party/mimalloc' 2025-09-07T06:43:16.9561816Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T06:43:16.9577131Z Entering 'third_party/nlohmann' 2025-09-07T06:43:16.9626280Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T06:43:16.9642576Z Entering 'third_party/onnx' 2025-09-07T06:43:16.9701759Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T06:43:16.9725594Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T06:43:16.9777338Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T06:43:16.9798737Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T06:43:16.9846889Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T06:43:16.9867905Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T06:43:16.9911574Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T06:43:16.9925830Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T06:43:16.9978454Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T06:43:16.9992863Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T06:43:17.0046027Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T06:43:17.0061656Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T06:43:17.0113804Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T06:43:17.0130623Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T06:43:17.0186020Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T06:43:17.0201939Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T06:43:17.0253638Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T06:43:17.0267860Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T06:43:17.0318147Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T06:43:17.0333841Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T06:43:17.0389668Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T06:43:17.0403012Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T06:43:17.0459206Z 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 2025-09-07T06:43:17.0478737Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:43:17.0527524Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T06:43:17.0562992Z Entering 'third_party/pocketfft' 2025-09-07T06:43:17.0616291Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T06:43:17.0634023Z Entering 'third_party/protobuf' 2025-09-07T06:43:17.0687607Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T06:43:17.0707620Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T06:43:17.0757935Z 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remote.origin.url 2025-09-07T06:43:17.1321184Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T06:43:17.1370949Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T06:43:17.1386541Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T06:43:17.1444165Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T06:43:17.1466263Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T06:43:17.1513800Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T06:43:17.1528804Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T06:43:17.1579383Z 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2025-09-07T06:43:17.5541920Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T06:43:17.5587103Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T06:43:17.5627682Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:43:17.5687410Z Entering 'third_party/pocketfft' 2025-09-07T06:43:17.5730990Z Entering 'third_party/protobuf' 2025-09-07T06:43:17.5775507Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T06:43:17.5816117Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T06:43:17.5862219Z Entering 'third_party/psimd' 2025-09-07T06:43:17.5904194Z Entering 'third_party/pthreadpool' 2025-09-07T06:43:17.5945557Z Entering 'third_party/pybind11' 2025-09-07T06:43:17.5987277Z Entering 'third_party/python-peachpy' 2025-09-07T06:43:17.6029546Z Entering 'third_party/sleef' 2025-09-07T06:43:17.6072132Z Entering 'third_party/tensorpipe' 2025-09-07T06:43:17.6115129Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T06:43:17.6157576Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T06:43:17.6194593Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T06:43:17.6237173Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T06:43:17.6279799Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T06:43:17.6343522Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T06:43:17.6659465Z Entering 'android/libs/fbjni' 2025-09-07T06:43:17.6704994Z Entering 'third_party/FP16' 2025-09-07T06:43:17.6741395Z Entering 'third_party/FXdiv' 2025-09-07T06:43:17.6783516Z Entering 'third_party/NNPACK' 2025-09-07T06:43:17.6821403Z Entering 'third_party/NVTX' 2025-09-07T06:43:17.6865798Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T06:43:17.6909757Z Entering 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2025-09-07T06:43:17.7596173Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T06:43:17.7639235Z Entering 'third_party/fbgemm/external/json' 2025-09-07T06:43:17.7686596Z Entering 'third_party/flash-attention' 2025-09-07T06:43:17.7749149Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T06:43:17.7800403Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T06:43:17.7845272Z Entering 'third_party/flatbuffers' 2025-09-07T06:43:17.7888815Z Entering 'third_party/fmt' 2025-09-07T06:43:17.7935339Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T06:43:17.7979794Z Entering 'third_party/gloo' 2025-09-07T06:43:17.8022850Z Entering 'third_party/googletest' 2025-09-07T06:43:17.8064598Z Entering 'third_party/ideep' 2025-09-07T06:43:17.8103109Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T06:43:17.8152578Z Entering 'third_party/ittapi' 2025-09-07T06:43:17.8197961Z Entering 'third_party/kineto' 2025-09-07T06:43:17.8241013Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T06:43:17.9204189Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T06:43:17.9244890Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T06:43:17.9287694Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T06:43:17.9328607Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T06:43:17.9373963Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T06:43:17.9416132Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:43:17.9470549Z Entering 'third_party/pocketfft' 2025-09-07T06:43:17.9514940Z Entering 'third_party/protobuf' 2025-09-07T06:43:17.9558398Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T06:43:17.9598458Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T06:43:17.9645010Z Entering 'third_party/psimd' 2025-09-07T06:43:17.9692974Z Entering 'third_party/pthreadpool' 2025-09-07T06:43:17.9737003Z Entering 'third_party/pybind11' 2025-09-07T06:43:17.9776694Z Entering 'third_party/python-peachpy' 2025-09-07T06:43:17.9822826Z Entering 'third_party/sleef' 2025-09-07T06:43:17.9870337Z Entering 'third_party/tensorpipe' 2025-09-07T06:43:17.9911633Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T06:43:17.9953360Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T06:43:17.9994639Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T06:43:18.0035892Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T06:43:18.0081598Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T06:43:18.0142346Z ##[endgroup] 2025-09-07T06:43:18.0181766Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T06:43:18.0205652Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:43:18.0317104Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T06:43:18.0317396Z cd "${GITHUB_WORKSPACE}" 2025-09-07T06:43:18.0317637Z # Clean stale submodule dirs 2025-09-07T06:43:18.0317881Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T06:43:18.0318154Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T06:43:18.0318436Z else 2025-09-07T06:43:18.0318678Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T06:43:18.0318933Z fi 2025-09-07T06:43:18.0327179Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:18.0327453Z env: 2025-09-07T06:43:18.0327634Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:18.0327838Z NO_SUDO: true 2025-09-07T06:43:18.0328010Z ##[endgroup] 2025-09-07T06:43:18.0678424Z Entering 'android/libs/fbjni' 2025-09-07T06:43:18.0715939Z Entering 'third_party/FP16' 2025-09-07T06:43:18.0747224Z Entering 'third_party/FXdiv' 2025-09-07T06:43:18.0781767Z Entering 'third_party/NNPACK' 2025-09-07T06:43:18.0820118Z Entering 'third_party/NVTX' 2025-09-07T06:43:18.0856396Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T06:43:18.0889990Z Entering 'third_party/XNNPACK' 2025-09-07T06:43:18.0995685Z Entering 'third_party/aiter' 2025-09-07T06:43:18.1034298Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T06:43:18.1128311Z Entering 'third_party/benchmark' 2025-09-07T06:43:18.1163925Z Entering 'third_party/composable_kernel' 2025-09-07T06:43:18.1259621Z Entering 'third_party/cpp-httplib' 2025-09-07T06:43:18.1294068Z Entering 'third_party/cpuinfo' 2025-09-07T06:43:18.1327383Z Entering 'third_party/cudnn_frontend' 2025-09-07T06:43:18.1362701Z Entering 'third_party/cutlass' 2025-09-07T06:43:18.1448512Z Entering 'third_party/fbgemm' 2025-09-07T06:43:18.1500368Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T06:43:18.1536340Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T06:43:18.1627378Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T06:43:18.1661169Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T06:43:18.1745004Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T06:43:18.1779511Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T06:43:18.1811329Z Entering 'third_party/fbgemm/external/json' 2025-09-07T06:43:18.1859955Z Entering 'third_party/flash-attention' 2025-09-07T06:43:18.1898666Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T06:43:18.1986105Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T06:43:18.2063835Z Entering 'third_party/flatbuffers' 2025-09-07T06:43:18.2123296Z Entering 'third_party/fmt' 2025-09-07T06:43:18.2157832Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T06:43:18.2194830Z Entering 'third_party/gloo' 2025-09-07T06:43:18.2227415Z Entering 'third_party/googletest' 2025-09-07T06:43:18.2262924Z Entering 'third_party/ideep' 2025-09-07T06:43:18.2295988Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T06:43:18.2366310Z Entering 'third_party/ittapi' 2025-09-07T06:43:18.2398763Z Entering 'third_party/kineto' 2025-09-07T06:43:18.2434886Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T06:43:18.2471277Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T06:43:18.2515926Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T06:43:18.2544960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T06:43:18.2580137Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T06:43:18.2607358Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T06:43:18.2637186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T06:43:18.2667401Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T06:43:18.2700604Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T06:43:18.2739335Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T06:43:18.2770208Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T06:43:18.2802910Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T06:43:18.2841156Z Entering 'third_party/kleidiai' 2025-09-07T06:43:18.2876330Z Entering 'third_party/mimalloc' 2025-09-07T06:43:18.2906588Z Entering 'third_party/nlohmann' 2025-09-07T06:43:18.2948022Z Entering 'third_party/onnx' 2025-09-07T06:43:18.3196423Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T06:43:18.3236097Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T06:43:18.3287714Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T06:43:18.3319910Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T06:43:18.3355842Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T06:43:18.3385060Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T06:43:18.3428711Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T06:43:18.3465615Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T06:43:18.3492442Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T06:43:18.3525995Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T06:43:18.3573953Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T06:43:18.3607393Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T06:43:18.3806799Z Entering 'third_party/pocketfft' 2025-09-07T06:43:18.3841365Z Entering 'third_party/protobuf' 2025-09-07T06:43:18.3907083Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T06:43:18.3937420Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T06:43:18.3972224Z Entering 'third_party/psimd' 2025-09-07T06:43:18.4002714Z Entering 'third_party/pthreadpool' 2025-09-07T06:43:18.4033859Z Entering 'third_party/pybind11' 2025-09-07T06:43:18.4067594Z Entering 'third_party/python-peachpy' 2025-09-07T06:43:18.4098120Z Entering 'third_party/sleef' 2025-09-07T06:43:18.4130639Z Entering 'third_party/tensorpipe' 2025-09-07T06:43:18.4165133Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T06:43:18.4199087Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T06:43:18.4231396Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T06:43:18.4264494Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T06:43:18.4296055Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T06:43:18.4434964Z Prepare all required actions 2025-09-07T06:43:18.4435485Z Getting action download info 2025-09-07T06:43:18.6010479Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T06:43:18.6010745Z env: 2025-09-07T06:43:18.6010933Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:18.6011135Z ##[endgroup] 2025-09-07T06:43:18.6052239Z ##[group]Run set -euo pipefail 2025-09-07T06:43:18.6052536Z set -euo pipefail 2025-09-07T06:43:18.6052765Z function get_ec2_metadata() { 2025-09-07T06:43:18.6053052Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T06:43:18.6053502Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T06:43:18.6054026Z  category=$1 2025-09-07T06:43:18.6054299Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T06:43:18.6054615Z  runner_name_str=i-01c485c335adab862 2025-09-07T06:43:18.6054931Z  if [[ -f /.inarc ]]; then 2025-09-07T06:43:18.6055183Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T06:43:18.6055466Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T06:43:18.6055788Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T06:43:18.6056083Z  else 2025-09-07T06:43:18.6056657Z  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}" 2025-09-07T06:43:18.6057226Z  fi 2025-09-07T06:43:18.6057398Z } 2025-09-07T06:43:18.6057605Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T06:43:18.6057913Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T06:43:18.6058238Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T06:43:18.6058525Z echo "system info $(uname -a)" 2025-09-07T06:43:18.6063569Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:18.6063832Z env: 2025-09-07T06:43:18.6063998Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:18.6064194Z ##[endgroup] 2025-09-07T06:43:18.6207055Z ami-id: ami-05ffe3c48a9991133 2025-09-07T06:43:18.6306455Z instance-id: i-01c485c335adab862 2025-09-07T06:43:18.6401756Z instance-type: m7i-flex.8xlarge 2025-09-07T06:43:18.6413230Z system info Linux ip-10-0-43-161.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T06:43:18.6438289Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:43:18.6438950Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:43:18.6444015Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:18.6444302Z env: 2025-09-07T06:43:18.6444472Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:18.6444676Z ##[endgroup] 2025-09-07T06:43:18.6500797Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T06:43:18.6501140Z if systemctl is-active --quiet docker; then 2025-09-07T06:43:18.6501424Z  echo "Docker daemon is running..."; 2025-09-07T06:43:18.6501667Z else 2025-09-07T06:43:18.6501923Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T06:43:18.6502214Z fi 2025-09-07T06:43:18.6506967Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:18.6507240Z env: 2025-09-07T06:43:18.6507418Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:18.6507639Z ##[endgroup] 2025-09-07T06:43:18.6597582Z Docker daemon is running... 2025-09-07T06:43:18.6633021Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T06:43:18.6633262Z with: 2025-09-07T06:43:18.6633420Z shell: bash 2025-09-07T06:43:18.6633760Z timeout_minutes: 5 2025-09-07T06:43:18.6633954Z max_attempts: 3 2025-09-07T06:43:18.6634143Z retry_wait_seconds: 30 2025-09-07T06:43:18.6635657Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T06:43:18.6637205Z polling_interval_seconds: 1 2025-09-07T06:43:18.6637419Z warning_on_retry: true 2025-09-07T06:43:18.6637609Z continue_on_error: false 2025-09-07T06:43:18.6637807Z env: 2025-09-07T06:43:18.6637980Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:18.6638189Z AWS_RETRY_MODE: standard 2025-09-07T06:43:18.6638382Z AWS_MAX_ATTEMPTS: 5 2025-09-07T06:43:18.6638578Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T06:43:18.6638787Z ##[endgroup] 2025-09-07T06:43:19.7337568Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T06:43:19.7338040Z Configure a credential helper to remove this warning. See 2025-09-07T06:43:19.7338456Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T06:43:19.7338725Z 2025-09-07T06:43:19.7338801Z Login Succeeded 2025-09-07T06:43:19.7823756Z Command completed after 1 attempt(s). 2025-09-07T06:43:19.7892190Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:43:19.7892601Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:43:19.7892919Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:43:19.7898605Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:19.7898863Z env: 2025-09-07T06:43:19.7899036Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:19.7899231Z ##[endgroup] 2025-09-07T06:43:19.7981282Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T06:43:19.7981690Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T06:43:19.7981985Z # shellcheck disable=SC2046 2025-09-07T06:43:19.7982229Z docker stop $(docker ps -q) || true 2025-09-07T06:43:19.7982468Z # Prune all of the docker images 2025-09-07T06:43:19.7982714Z docker system prune -af 2025-09-07T06:43:19.7987404Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:19.7987680Z env: 2025-09-07T06:43:19.7987845Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:19.7988042Z ##[endgroup] 2025-09-07T06:43:19.8459643Z "docker stop" requires at least 1 argument. 2025-09-07T06:43:19.8460011Z See 'docker stop --help'. 2025-09-07T06:43:19.8460190Z 2025-09-07T06:43:19.8460332Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T06:43:19.8460517Z 2025-09-07T06:43:19.8460603Z Stop one or more running containers 2025-09-07T06:43:19.8647677Z Total reclaimed space: 0B 2025-09-07T06:43:19.8684570Z ##[group]Run set +e 2025-09-07T06:43:19.8684805Z set +e 2025-09-07T06:43:19.8684997Z set -x 2025-09-07T06:43:19.8685173Z  2025-09-07T06:43:19.8685368Z PT_DOMAIN=download.pytorch.org 2025-09-07T06:43:19.8685790Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T06:43:19.8686292Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T06:43:19.8686670Z # one is returned at random 2025-09-07T06:43:19.8686964Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T06:43:19.8687227Z  2025-09-07T06:43:19.8687540Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T06:43:19.8687851Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T06:43:19.8688661Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T06:43:19.8688950Z  2025-09-07T06:43:19.8689129Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T06:43:19.8689410Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T06:43:19.8689671Z  exit 1 2025-09-07T06:43:19.8689853Z  fi 2025-09-07T06:43:19.8690023Z fi 2025-09-07T06:43:19.8690183Z  2025-09-07T06:43:19.8690373Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T06:43:19.8690635Z  # Clean up any old records first 2025-09-07T06:43:19.8690988Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T06:43:19.8691222Z fi 2025-09-07T06:43:19.8691384Z  2025-09-07T06:43:19.8691615Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T06:43:19.8691886Z cat /etc/hosts 2025-09-07T06:43:19.8696901Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:19.8697180Z env: 2025-09-07T06:43:19.8697365Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:19.8697561Z ##[endgroup] 2025-09-07T06:43:19.8721666Z + PT_DOMAIN=download.pytorch.org 2025-09-07T06:43:19.8726328Z ++ dig -4 +short download.pytorch.org 2025-09-07T06:43:19.8728283Z ++ tail -n1 2025-09-07T06:43:19.9159334Z + RESOLVED_IP=18.160.10.22 2025-09-07T06:43:19.9159879Z + '[' -z 18.160.10.22 ']' 2025-09-07T06:43:19.9160239Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T06:43:19.9174721Z + sudo tee -a /etc/hosts 2025-09-07T06:43:19.9175029Z + echo '18.160.10.22 download.pytorch.org' 2025-09-07T06:43:20.2141664Z 18.160.10.22 download.pytorch.org 2025-09-07T06:43:20.2160769Z + cat /etc/hosts 2025-09-07T06:43:20.2170516Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T06:43:20.2179847Z ::1 localhost6 localhost6.localdomain6 2025-09-07T06:43:20.2180177Z 18.160.10.22 download.pytorch.org 2025-09-07T06:43:20.2307050Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T06:43:20.2307383Z with: 2025-09-07T06:43:20.2307964Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.2308602Z use-custom-docker-registry: true 2025-09-07T06:43:20.2308836Z docker-build-dir: .ci/docker 2025-09-07T06:43:20.2309062Z docker-build-script: ./build.sh 2025-09-07T06:43:20.2309285Z working-directory: . 2025-09-07T06:43:20.2309544Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:20.2309836Z force-push: false 2025-09-07T06:43:20.2310015Z env: 2025-09-07T06:43:20.2310186Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:20.2310386Z ##[endgroup] 2025-09-07T06:43:20.2337519Z ##[group]Run set -ex 2025-09-07T06:43:20.2337789Z set -ex 2025-09-07T06:43:20.2337966Z  2025-09-07T06:43:20.2338318Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T06:43:20.2338762Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T06:43:20.2339136Z # job could then download the pre-built image as usual 2025-09-07T06:43:20.2339594Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T06:43:20.2340019Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2340257Z else 2025-09-07T06:43:20.2340472Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2340779Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2341064Z  2025-09-07T06:43:20.2341443Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T06:43:20.2341921Z  exit 0 2025-09-07T06:43:20.2342092Z fi 2025-09-07T06:43:20.2342259Z  2025-09-07T06:43:20.2342506Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T06:43:20.2342911Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T06:43:20.2343277Z  # use it as it is, but first let's extract the tag 2025-09-07T06:43:20.2343606Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T06:43:20.2343958Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2344409Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2344694Z else 2025-09-07T06:43:20.2344906Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T06:43:20.2345174Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T06:43:20.2345459Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T06:43:20.2345891Z  fi 2025-09-07T06:43:20.2346224Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T06:43:20.2346622Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2347052Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2347512Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2347807Z fi 2025-09-07T06:43:20.2357405Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:20.2357679Z env: 2025-09-07T06:43:20.2357949Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:20.2358158Z REPO_NAME: pytorch 2025-09-07T06:43:20.2358897Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.2359516Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T06:43:20.2359741Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T06:43:20.2360029Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:20.2360326Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T06:43:20.2360545Z CUSTOM_TAG_PREFIX: 2025-09-07T06:43:20.2360736Z ##[endgroup] 2025-09-07T06:43:20.2385464Z + [[ -d .ci/docker ]] 2025-09-07T06:43:20.2385831Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T06:43:20.2386066Z + [[ true == \t\r\u\e ]] 2025-09-07T06:43:20.2386263Z + echo skip=false 2025-09-07T06:43:20.2387064Z + [[ 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* ]] 2025-09-07T06:43:20.2397021Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.2399102Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T06:43:20.2421908Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.2422707Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.2423569Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.2450472Z ##[group]Run set +e 2025-09-07T06:43:20.2450729Z set +e 2025-09-07T06:43:20.2450914Z set -x 2025-09-07T06:43:20.2451084Z  2025-09-07T06:43:20.2451246Z login() { 2025-09-07T06:43:20.2451642Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T06:43:20.2452013Z } 2025-09-07T06:43:20.2452181Z  2025-09-07T06:43:20.2452337Z retry () { 2025-09-07T06:43:20.2452545Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T06:43:20.2452776Z } 2025-09-07T06:43:20.2452938Z  2025-09-07T06:43:20.2453110Z retry login "${DOCKER_REGISTRY}" 2025-09-07T06:43:20.2453331Z  2025-09-07T06:43:20.2453506Z START_TIME=$(date +%s) 2025-09-07T06:43:20.2453731Z # Wait up to 120 minutes 2025-09-07T06:43:20.2454001Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T06:43:20.2454453Z  # Check if image already exists, if it does then skip building it 2025-09-07T06:43:20.2454799Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T06:43:20.2455059Z  exit 0 2025-09-07T06:43:20.2455240Z  fi 2025-09-07T06:43:20.2455404Z  2025-09-07T06:43:20.2455818Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T06:43:20.2456257Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T06:43:20.2456701Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T06:43:20.2457065Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T06:43:20.2457349Z  # It's a Docker build job, let's build the image 2025-09-07T06:43:20.2457605Z  break 2025-09-07T06:43:20.2457791Z  else 2025-09-07T06:43:20.2458040Z  # It's a regular build job, wait for the image to become available 2025-09-07T06:43:20.2458323Z  sleep 300 2025-09-07T06:43:20.2458507Z  fi 2025-09-07T06:43:20.2458679Z done 2025-09-07T06:43:20.2458848Z  2025-09-07T06:43:20.2459180Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T06:43:20.2459744Z # be empty. The default action would be to continue rebuild the image 2025-09-07T06:43:20.2460100Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T06:43:20.2460425Z  # if we're on the base branch then use the parent commit 2025-09-07T06:43:20.2460715Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T06:43:20.2460942Z else 2025-09-07T06:43:20.2461190Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T06:43:20.2461522Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T06:43:20.2461774Z fi 2025-09-07T06:43:20.2461937Z  2025-09-07T06:43:20.2462119Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T06:43:20.2462375Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2462613Z  2025-09-07T06:43:20.2463003Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T06:43:20.2463371Z  exit 0 2025-09-07T06:43:20.2463544Z fi 2025-09-07T06:43:20.2463710Z  2025-09-07T06:43:20.2463962Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T06:43:20.2464460Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T06:43:20.2464832Z  exit 1 2025-09-07T06:43:20.2465005Z fi 2025-09-07T06:43:20.2465166Z  2025-09-07T06:43:20.2465429Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T06:43:20.2465861Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T06:43:20.2466252Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T06:43:20.2466767Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T06:43:20.2467268Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T06:43:20.2467575Z fi 2025-09-07T06:43:20.2467731Z  2025-09-07T06:43:20.2467931Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T06:43:20.2473130Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:20.2473404Z env: 2025-09-07T06:43:20.2473584Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:20.2473845Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T06:43:20.2474108Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:43:20.2474847Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.2475670Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.2476171Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:20.2476444Z DOCKER_PUSH: 2025-09-07T06:43:20.2476626Z ##[endgroup] 2025-09-07T06:43:20.2499727Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:20.2500087Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:20.2502558Z + aws ecr get-login-password --region us-east-1 2025-09-07T06:43:20.2505845Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:20.7144543Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T06:43:20.7145009Z Configure a credential helper to remove this warning. See 2025-09-07T06:43:20.7145466Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T06:43:20.7145877Z 2025-09-07T06:43:20.7145966Z Login Succeeded 2025-09-07T06:43:20.7173641Z ++ date +%s 2025-09-07T06:43:20.7182397Z + START_TIME=1757227400 2025-09-07T06:43:20.7188214Z ++ date +%s 2025-09-07T06:43:20.7199222Z + [[ 1757220200 -lt 1757227400 ]] 2025-09-07T06:43:20.7199938Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:20.9369670Z { 2025-09-07T06:43:20.9369994Z "schemaVersion": 2, 2025-09-07T06:43:20.9370332Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T06:43:20.9370674Z "config": { 2025-09-07T06:43:20.9370944Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T06:43:20.9371291Z "size": 30269, 2025-09-07T06:43:20.9371651Z "digest": 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"sha256:43b14c67347e2813c5f63e928c14db60dbb35c330ccc865510cf79739d8b78a1" 2025-09-07T06:43:20.9470756Z }, 2025-09-07T06:43:20.9470905Z { 2025-09-07T06:43:20.9471132Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T06:43:20.9471418Z "size": 32, 2025-09-07T06:43:20.9471732Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T06:43:20.9472045Z } 2025-09-07T06:43:20.9472197Z ] 2025-09-07T06:43:20.9472344Z } 2025-09-07T06:43:20.9506772Z ##[group]Run set -eux 2025-09-07T06:43:20.9507008Z set -eux 2025-09-07T06:43:20.9507315Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T06:43:20.9508065Z 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 2025-09-07T06:43:20.9513796Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:20.9514053Z env: 2025-09-07T06:43:20.9514230Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:20.9514435Z ##[endgroup] 2025-09-07T06:43:20.9540865Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T06:43:20.9541239Z + jq --raw-output .SecretString 2025-09-07T06:43:20.9545271Z + jq -r .docker_hub_readonly_token 2025-09-07T06:43:20.9545568Z + docker login --username pytorchbot --password-stdin 2025-09-07T06:43:21.4664609Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T06:43:21.4665112Z Configure a credential helper to remove this warning. See 2025-09-07T06:43:21.4665521Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T06:43:21.4665775Z 2025-09-07T06:43:21.4665855Z Login Succeeded 2025-09-07T06:43:21.4796505Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T06:43:21.4796771Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T06:43:21.4797173Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T06:43:21.4802603Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:21.4802863Z env: 2025-09-07T06:43:21.4803037Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:21.4803634Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:21.4804232Z ##[endgroup] 2025-09-07T06:43:21.4831418Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:21.4871772Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T06:43:21.4872100Z with: 2025-09-07T06:43:21.4872751Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:21.4873536Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:21.4873850Z env: 2025-09-07T06:43:21.4874040Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:21.4874257Z ##[endgroup] 2025-09-07T06:43:21.4892812Z ##[group]Run set -x 2025-09-07T06:43:21.4893070Z set -x 2025-09-07T06:43:21.4893283Z set +e 2025-09-07T06:43:21.4893488Z  2025-09-07T06:43:21.4893683Z login() { 2025-09-07T06:43:21.4894077Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T06:43:21.4894509Z } 2025-09-07T06:43:21.4894693Z  2025-09-07T06:43:21.4894921Z retry () { 2025-09-07T06:43:21.4895165Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T06:43:21.4895425Z } 2025-09-07T06:43:21.4895615Z  2025-09-07T06:43:21.4895825Z retry login "${DOCKER_REGISTRY}" 2025-09-07T06:43:21.4896087Z  2025-09-07T06:43:21.4896487Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T06:43:21.4896992Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T06:43:21.4897298Z  2025-09-07T06:43:21.4897468Z set -e 2025-09-07T06:43:21.4897724Z # ignore output since only exit code is used for conditional 2025-09-07T06:43:21.4898072Z # only pull docker image if it's not available locally 2025-09-07T06:43:21.4898454Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T06:43:21.4898813Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T06:43:21.4899046Z fi 2025-09-07T06:43:21.4903804Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:43:21.4904082Z env: 2025-09-07T06:43:21.4904264Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:43:21.4904867Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:21.4905529Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:21.4905803Z ##[endgroup] 2025-09-07T06:43:21.4927053Z + set +e 2025-09-07T06:43:21.4927367Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:21.4927713Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:21.4930721Z + aws ecr get-login-password --region us-east-1 2025-09-07T06:43:21.4931533Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T06:43:21.9536000Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T06:43:21.9536574Z Configure a credential helper to remove this warning. See 2025-09-07T06:43:21.9537032Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T06:43:21.9537350Z 2025-09-07T06:43:21.9537728Z Login Succeeded 2025-09-07T06:43:21.9564877Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:21.9567473Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T06:43:22.2043808Z + IMAGE_SIZE=28579.020259857178 2025-09-07T06:43:22.2044183Z + echo 'Compressed size of image in MB: 28579.020259857178' 2025-09-07T06:43:22.2044471Z + set -e 2025-09-07T06:43:22.2045607Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:22.2046717Z Compressed size of image in MB: 28579.020259857178 2025-09-07T06:43:22.2171313Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:22.2172400Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:43:22.4442012Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T06:43:22.4442620Z e6fdc8487bfe: Pulling fs layer 2025-09-07T06:43:22.4442852Z 18a5ee5b0e2e: Pulling fs layer 2025-09-07T06:43:22.4443059Z 572424b92528: Pulling fs layer 2025-09-07T06:43:22.4443272Z 1c35b7d4b67c: Pulling fs layer 2025-09-07T06:43:22.4443483Z 68c20f3c23bb: Pulling fs layer 2025-09-07T06:43:22.4443688Z 7efa39950d32: Pulling fs layer 2025-09-07T06:43:22.4443928Z a10eb16a7271: Pulling fs layer 2025-09-07T06:43:22.4444142Z 7d52cf579654: Pulling fs layer 2025-09-07T06:43:22.4444351Z cb6a20fcf4e2: Pulling fs layer 2025-09-07T06:43:22.4444557Z 46fb6a8b3e1d: Pulling fs layer 2025-09-07T06:43:22.4444755Z 5ad6977cc38e: Pulling fs layer 2025-09-07T06:43:22.4444958Z da63046995a2: Pulling fs layer 2025-09-07T06:43:22.4445171Z 78243fdb9906: Pulling fs layer 2025-09-07T06:43:22.4445373Z 6f70d5d50aba: Pulling fs layer 2025-09-07T06:43:22.4445573Z 4f4fb700ef54: Pulling fs layer 2025-09-07T06:43:22.4445980Z 69715d3ad3c4: Pulling fs layer 2025-09-07T06:43:22.4446190Z 7ace90c063f3: Pulling fs layer 2025-09-07T06:43:22.4446403Z acbd5447dd14: Pulling fs layer 2025-09-07T06:43:22.4448354Z 744523d9b7f5: Pulling fs layer 2025-09-07T06:43:22.4448907Z 5bd615a7b945: Pulling fs layer 2025-09-07T06:43:22.4449121Z f4986a00e3ae: Pulling fs layer 2025-09-07T06:43:22.4449337Z 21902f6e4f8c: Pulling fs layer 2025-09-07T06:43:22.4449534Z d80602abf3cc: Pulling fs layer 2025-09-07T06:43:22.4449747Z 3c51bf0bc362: Pulling fs layer 2025-09-07T06:43:22.4449950Z 119ab3bceafa: Pulling fs layer 2025-09-07T06:43:22.4450189Z af8eadc9eaab: Pulling fs layer 2025-09-07T06:43:22.4450390Z e7769b0d7a82: Pulling fs layer 2025-09-07T06:43:22.4450583Z ba263639b0f4: Pulling fs layer 2025-09-07T06:43:22.4450785Z a5ab7a280382: Pulling fs layer 2025-09-07T06:43:22.4450994Z 80b2232d952f: Pulling fs layer 2025-09-07T06:43:22.4451189Z cc93cd65e90f: Pulling fs layer 2025-09-07T06:43:22.4451393Z 0eed4c15712b: Pulling fs layer 2025-09-07T06:43:22.4451596Z 092516f71fe3: Pulling fs layer 2025-09-07T06:43:22.4451794Z 5ad6977cc38e: Waiting 2025-09-07T06:43:22.4451980Z 8c0825014a62: Pulling fs layer 2025-09-07T06:43:22.4452186Z 8e0d2f63da0a: Pulling fs layer 2025-09-07T06:43:22.4452389Z 73aae7958ba1: Pulling fs layer 2025-09-07T06:43:22.4452596Z ac6077ec9fa5: Pulling fs layer 2025-09-07T06:43:22.4452795Z bf4ee4e45e92: Pulling fs layer 2025-09-07T06:43:22.4453002Z c1b766f9b961: Pulling fs layer 2025-09-07T06:43:22.4453208Z 6e726ef07b5d: Pulling fs layer 2025-09-07T06:43:22.4453409Z 364070434a64: Pulling fs layer 2025-09-07T06:43:22.4453599Z 71f708151a84: Pulling fs layer 2025-09-07T06:43:22.4453801Z 622d8cfb39ea: Pulling fs layer 2025-09-07T06:43:22.4453999Z 284119a92cb1: Pulling fs layer 2025-09-07T06:43:22.4454198Z 96695940d842: Pulling fs layer 2025-09-07T06:43:22.4454632Z 7ddca6c4c050: Pulling fs layer 2025-09-07T06:43:22.4454843Z a95e1f2f1aad: Pulling fs layer 2025-09-07T06:43:22.4455048Z 8085756b0cc0: Pulling fs layer 2025-09-07T06:43:22.4455258Z 7e9ff0c6f103: Pulling fs layer 2025-09-07T06:43:22.4455451Z a625cbbc05b9: Pulling fs layer 2025-09-07T06:43:22.4455656Z 4e2848642431: Pulling fs layer 2025-09-07T06:43:22.4455861Z 5e944f1ed1be: Pulling fs layer 2025-09-07T06:43:22.4456062Z 41619248f604: Pulling fs layer 2025-09-07T06:43:22.4456256Z be86f8c4f654: Pulling fs layer 2025-09-07T06:43:22.4456459Z ef1340e22a4b: Pulling fs layer 2025-09-07T06:43:22.4456659Z da8d8b696333: Pulling fs layer 2025-09-07T06:43:22.4456980Z 386b0c49c498: Pulling fs layer 2025-09-07T06:43:22.4457179Z 2b1d0ea7efe0: Pulling fs layer 2025-09-07T06:43:22.4457384Z 04c04be7408f: Pulling fs layer 2025-09-07T06:43:22.4457590Z f8690caa3ac5: Pulling fs layer 2025-09-07T06:43:22.4457796Z 2908d6baaa6b: Pulling fs layer 2025-09-07T06:43:22.4457991Z 37e2336101eb: Pulling fs layer 2025-09-07T06:43:22.4458200Z f1ac881fde33: Pulling fs layer 2025-09-07T06:43:22.4458402Z 43b14c67347e: Pulling fs layer 2025-09-07T06:43:22.4458599Z 6f70d5d50aba: Waiting 2025-09-07T06:43:22.4458777Z da63046995a2: Waiting 2025-09-07T06:43:22.4458957Z 46fb6a8b3e1d: Waiting 2025-09-07T06:43:22.4459130Z 744523d9b7f5: Waiting 2025-09-07T06:43:22.4459303Z 5bd615a7b945: Waiting 2025-09-07T06:43:22.4459473Z 119ab3bceafa: Waiting 2025-09-07T06:43:22.4459648Z 69715d3ad3c4: Waiting 2025-09-07T06:43:22.4459821Z 68c20f3c23bb: Waiting 2025-09-07T06:43:22.4460006Z af8eadc9eaab: Waiting 2025-09-07T06:43:22.4460173Z 0eed4c15712b: Waiting 2025-09-07T06:43:22.4460461Z 21902f6e4f8c: Waiting 2025-09-07T06:43:22.4460642Z 80b2232d952f: Waiting 2025-09-07T06:43:22.4460819Z 8e0d2f63da0a: Waiting 2025-09-07T06:43:22.4460987Z 8085756b0cc0: Waiting 2025-09-07T06:43:22.4461165Z 092516f71fe3: Waiting 2025-09-07T06:43:22.4461338Z 8c0825014a62: Waiting 2025-09-07T06:43:22.4461517Z 6e726ef07b5d: Waiting 2025-09-07T06:43:22.4461685Z 7efa39950d32: Waiting 2025-09-07T06:43:22.4461866Z 73aae7958ba1: Waiting 2025-09-07T06:43:22.4462041Z e7769b0d7a82: Waiting 2025-09-07T06:43:22.4462218Z ba263639b0f4: Waiting 2025-09-07T06:43:22.4462387Z d80602abf3cc: Waiting 2025-09-07T06:43:22.4462565Z acbd5447dd14: Waiting 2025-09-07T06:43:22.4462743Z 96695940d842: Waiting 2025-09-07T06:43:22.4462910Z 364070434a64: Waiting 2025-09-07T06:43:22.4463071Z a625cbbc05b9: Waiting 2025-09-07T06:43:22.4463245Z ac6077ec9fa5: Waiting 2025-09-07T06:43:22.4463410Z 4e2848642431: Waiting 2025-09-07T06:43:22.4463577Z 622d8cfb39ea: Waiting 2025-09-07T06:43:22.4463741Z 5e944f1ed1be: Waiting 2025-09-07T06:43:22.4463910Z 284119a92cb1: Waiting 2025-09-07T06:43:22.4464080Z 71f708151a84: Waiting 2025-09-07T06:43:22.4464253Z a10eb16a7271: Waiting 2025-09-07T06:43:22.4464418Z 4f4fb700ef54: Waiting 2025-09-07T06:43:22.4464590Z 7ddca6c4c050: Waiting 2025-09-07T06:43:22.4464759Z a5ab7a280382: Waiting 2025-09-07T06:43:22.4464932Z 7ace90c063f3: Waiting 2025-09-07T06:43:22.4465096Z 78243fdb9906: Waiting 2025-09-07T06:43:22.4465270Z 386b0c49c498: Waiting 2025-09-07T06:43:22.4465441Z 2b1d0ea7efe0: Waiting 2025-09-07T06:43:22.4465615Z a95e1f2f1aad: Waiting 2025-09-07T06:43:22.4465782Z bf4ee4e45e92: Waiting 2025-09-07T06:43:22.4465953Z f4986a00e3ae: Waiting 2025-09-07T06:43:22.4466122Z 37e2336101eb: Waiting 2025-09-07T06:43:22.4466285Z 41619248f604: Waiting 2025-09-07T06:43:22.4466455Z f1ac881fde33: Waiting 2025-09-07T06:43:22.4466626Z 43b14c67347e: Waiting 2025-09-07T06:43:22.4466796Z ef1340e22a4b: Waiting 2025-09-07T06:43:22.4466960Z 2908d6baaa6b: Waiting 2025-09-07T06:43:22.4467157Z 7d52cf579654: Waiting 2025-09-07T06:43:22.4467518Z da8d8b696333: Waiting 2025-09-07T06:43:22.4467701Z 3c51bf0bc362: Waiting 2025-09-07T06:43:22.4467879Z be86f8c4f654: Waiting 2025-09-07T06:43:22.4468173Z 7e9ff0c6f103: Waiting 2025-09-07T06:43:22.4473395Z 04c04be7408f: Waiting 2025-09-07T06:43:22.4475763Z cc93cd65e90f: Waiting 2025-09-07T06:43:22.4476237Z 1c35b7d4b67c: Waiting 2025-09-07T06:43:22.4476431Z c1b766f9b961: Waiting 2025-09-07T06:43:22.5073341Z 18a5ee5b0e2e: Download complete 2025-09-07T06:43:22.5692969Z 1c35b7d4b67c: Verifying Checksum 2025-09-07T06:43:22.5693290Z 1c35b7d4b67c: Download complete 2025-09-07T06:43:22.6415426Z 68c20f3c23bb: Verifying Checksum 2025-09-07T06:43:22.6415741Z 68c20f3c23bb: Download complete 2025-09-07T06:43:22.7240120Z 7efa39950d32: Verifying Checksum 2025-09-07T06:43:22.7240457Z 7efa39950d32: Download complete 2025-09-07T06:43:22.7867106Z a10eb16a7271: Verifying Checksum 2025-09-07T06:43:22.8105925Z e6fdc8487bfe: Verifying Checksum 2025-09-07T06:43:22.8110541Z e6fdc8487bfe: Download complete 2025-09-07T06:43:22.8533905Z 7d52cf579654: Download complete 2025-09-07T06:43:22.9219468Z 46fb6a8b3e1d: Verifying Checksum 2025-09-07T06:43:22.9219808Z 46fb6a8b3e1d: Download complete 2025-09-07T06:43:23.0009175Z 5ad6977cc38e: Verifying Checksum 2025-09-07T06:43:23.0009520Z 5ad6977cc38e: Download complete 2025-09-07T06:43:23.0768769Z da63046995a2: Verifying Checksum 2025-09-07T06:43:23.0769107Z da63046995a2: Download complete 2025-09-07T06:43:23.1465158Z 78243fdb9906: Verifying Checksum 2025-09-07T06:43:23.1465465Z 78243fdb9906: Download complete 2025-09-07T06:43:23.9496565Z cb6a20fcf4e2: Verifying Checksum 2025-09-07T06:43:23.9496950Z cb6a20fcf4e2: Download complete 2025-09-07T06:43:23.9557963Z 4f4fb700ef54: Verifying Checksum 2025-09-07T06:43:23.9558358Z 4f4fb700ef54: Download complete 2025-09-07T06:43:23.9940407Z e6fdc8487bfe: Pull complete 2025-09-07T06:43:24.0072852Z 18a5ee5b0e2e: Pull complete 2025-09-07T06:43:24.0280059Z 69715d3ad3c4: Verifying Checksum 2025-09-07T06:43:24.0284211Z 69715d3ad3c4: Download complete 2025-09-07T06:43:24.0967787Z 7ace90c063f3: Verifying Checksum 2025-09-07T06:43:24.0968233Z 7ace90c063f3: Download complete 2025-09-07T06:43:24.1883467Z acbd5447dd14: Download complete 2025-09-07T06:43:24.2780159Z 744523d9b7f5: Verifying Checksum 2025-09-07T06:43:24.2780474Z 744523d9b7f5: Download complete 2025-09-07T06:43:24.3540487Z 5bd615a7b945: Download complete 2025-09-07T06:43:24.4307456Z f4986a00e3ae: Download complete 2025-09-07T06:43:24.5073630Z 21902f6e4f8c: Download complete 2025-09-07T06:43:24.5917714Z d80602abf3cc: Download complete 2025-09-07T06:43:24.6697209Z 3c51bf0bc362: Verifying Checksum 2025-09-07T06:43:24.6697526Z 3c51bf0bc362: Download complete 2025-09-07T06:43:24.7461017Z 119ab3bceafa: Verifying Checksum 2025-09-07T06:43:24.7461333Z 119ab3bceafa: Download complete 2025-09-07T06:43:24.8164511Z af8eadc9eaab: Download complete 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sha256:383efb45082f20b8c808cb0ba4df693a01359592233f641f1f486911ac320a9a 2025-09-07T06:52:45.4178713Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:52:45.4512965Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:52:45.4565091Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:52:45.4565760Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T06:52:45.4574865Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:52:45.4575154Z env: 2025-09-07T06:52:45.4575330Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:52:45.4575528Z ##[endgroup] 2025-09-07T06:52:45.4656539Z Prepare all required actions 2025-09-07T06:52:45.4903094Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T06:52:45.4903355Z with: 2025-09-07T06:52:45.4903938Z github-token: *** 2025-09-07T06:52:45.4904111Z env: 2025-09-07T06:52:45.4904282Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:52:45.4904479Z ##[endgroup] 2025-09-07T06:52:45.5050718Z ##[group]Run set -eux 2025-09-07T06:52:45.5050960Z set -eux 2025-09-07T06:52:45.5051283Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T06:52:45.5056327Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:52:45.5056603Z env: 2025-09-07T06:52:45.5056780Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:52:45.5057172Z GITHUB_TOKEN: *** 2025-09-07T06:52:45.5057355Z ##[endgroup] 2025-09-07T06:52:45.5083965Z + python3 .github/scripts/get_workflow_job_id.py 17524754606 i-01c485c335adab862 2025-09-07T06:52:46.1163284Z Setting output job-id=49774397873 2025-09-07T06:52:46.1163839Z Setting output job-name=inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:52:46.1373604Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T06:52:46.1374121Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T06:52:46.1374739Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T06:52:46.1375286Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T06:52:46.1380201Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:52:46.1380462Z env: 2025-09-07T06:52:46.1380643Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:52:46.1380840Z JOB_ID: 49774397873 2025-09-07T06:52:46.1381154Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:52:46.1381478Z WORKFLOW_NAME: inductor 2025-09-07T06:52:46.1381678Z WORKFLOW_RUN_ID: 17524754606 2025-09-07T06:52:46.1381916Z MONITOR_LOG_INTERVAL: 5 2025-09-07T06:52:46.1382121Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-09-07T06:52:46.1382334Z ##[endgroup] 2025-09-07T06:52:46.7107312Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T06:52:47.0597672Z Collecting psutil==5.9.8 2025-09-07T06:52:47.0736180Z 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) 2025-09-07T06:52:47.1638428Z Collecting dataclasses_json==0.6.7 2025-09-07T06:52:47.1672165Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T06:52:47.2043767Z Collecting nvidia-ml-py==11.525.84 2025-09-07T06:52:47.2080068Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T06:52:47.3283920Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T06:52:47.3317026Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T06:52:47.4127657Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T06:52:47.4158699Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T06:52:47.5666654Z Collecting packaging>=17.0 2025-09-07T06:52:47.5695304Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T06:52:47.6897333Z Collecting mypy-extensions>=0.3.0 2025-09-07T06:52:47.6930065Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T06:52:47.7958254Z Collecting typing-extensions>=3.7.4 2025-09-07T06:52:47.7990474Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T06:52:48.0020592Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T06:52:48.6153913Z 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 2025-09-07T06:52:48.8216215Z Prepare all required actions 2025-09-07T06:52:48.8216574Z Getting action download info 2025-09-07T06:52:48.9668417Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T06:52:49.8282420Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T06:52:52.6693746Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T06:52:52.6694028Z with: 2025-09-07T06:52:52.6694225Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T06:52:52.6694461Z s3-bucket: gha-artifacts 2025-09-07T06:52:52.6694662Z env: 2025-09-07T06:52:52.6694832Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:52:52.6695027Z ##[endgroup] 2025-09-07T06:52:52.6819875Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T06:52:52.6820136Z with: 2025-09-07T06:52:52.6820492Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T06:52:52.6820739Z s3-bucket: gha-artifacts 2025-09-07T06:52:52.6821001Z region: us-east-1 2025-09-07T06:52:52.6821170Z env: 2025-09-07T06:52:52.6821340Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:52:52.6821537Z ##[endgroup] 2025-09-07T06:52:53.4565011Z (node:48178) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T06:52:53.4565370Z 2025-09-07T06:52:53.4565530Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T06:52:53.4565934Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T06:52:53.4566324Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T06:52:54.6712564Z Found 1 objects with prefix pytorch/pytorch/17524754606/linux-jammy-py3.9-gcc11-build/ 2025-09-07T06:52:54.6717074Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T06:52:59.3002964Z Finished 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build/bin/test_api 2025-09-07T06:53:06.7239335Z inflating: build/bin/parallel_benchmark 2025-09-07T06:53:06.7584934Z inflating: build/bin/test_lazy 2025-09-07T06:53:06.7588728Z inflating: build/bin/torch_shm_manager 2025-09-07T06:53:06.7589067Z creating: .additional_ci_files/ 2025-09-07T06:53:06.7679198Z inflating: .additional_ci_files/test-times.json 2025-09-07T06:53:06.8016142Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T06:53:06.8055886Z ##[group]Run rm artifacts.zip 2025-09-07T06:53:06.8056131Z rm artifacts.zip 2025-09-07T06:53:06.8061520Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:06.8061796Z env: 2025-09-07T06:53:06.8061965Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:06.8062155Z ##[endgroup] 2025-09-07T06:53:06.8407462Z ##[group]Run df -H 2025-09-07T06:53:06.8407688Z df -H 2025-09-07T06:53:06.8412944Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:06.8413231Z env: 2025-09-07T06:53:06.8413422Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:06.8413619Z ##[endgroup] 2025-09-07T06:53:06.8456232Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T06:53:06.8456588Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T06:53:06.8461620Z tmpfs 67G 0 67G 0% /dev/shm 2025-09-07T06:53:06.8462129Z tmpfs 27G 791k 27G 1% /run 2025-09-07T06:53:06.8462387Z /dev/nvme0n1p1 215G 70G 146G 33% / 2025-09-07T06:53:06.8462612Z tmpfs 67G 13k 67G 1% /tmp 2025-09-07T06:53:06.8462856Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T06:53:06.8488880Z Prepare all required actions 2025-09-07T06:53:06.8489851Z Getting action download info 2025-09-07T06:53:06.9993922Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T06:53:06.9994212Z with: 2025-09-07T06:53:06.9994380Z env: 2025-09-07T06:53:06.9994553Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:06.9994773Z ##[endgroup] 2025-09-07T06:53:07.0044372Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T06:53:07.0044638Z with: 2025-09-07T06:53:07.0044804Z name: td_results 2025-09-07T06:53:07.0044998Z s3-bucket: gha-artifacts 2025-09-07T06:53:07.0045210Z region: us-east-1 2025-09-07T06:53:07.0045380Z env: 2025-09-07T06:53:07.0045553Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:07.0046026Z ##[endgroup] 2025-09-07T06:53:07.3729309Z (node:48199) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T06:53:07.3729666Z 2025-09-07T06:53:07.3729905Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T06:53:07.3730289Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T06:53:07.3730699Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T06:53:07.4575267Z Found 0 objects with prefix pytorch/pytorch/17524754606/td_results/ 2025-09-07T06:53:07.4581366Z Artifact download has finished successfully 2025-09-07T06:53:07.4832663Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T06:53:07.4832950Z mkdir -p .additional_ci_files 2025-09-07T06:53:07.4833240Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T06:53:07.4838852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:07.4839111Z env: 2025-09-07T06:53:07.4839286Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:07.4839484Z ##[endgroup] 2025-09-07T06:53:07.4883777Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T06:53:07.4936729Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T06:53:07.4937020Z .github/scripts/parse_ref.py 2025-09-07T06:53:07.4941964Z shell: /usr/bin/bash -e {0} 2025-09-07T06:53:07.4942185Z env: 2025-09-07T06:53:07.4942362Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:07.4942558Z ##[endgroup] 2025-09-07T06:53:07.5325819Z Setting output branch=main 2025-09-07T06:53:07.5419132Z Prepare all required actions 2025-09-07T06:53:07.5419491Z Getting action download info 2025-09-07T06:53:07.6689848Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T06:53:07.6690132Z with: 2025-09-07T06:53:07.6690519Z github-token: *** 2025-09-07T06:53:07.6692334Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T06:53:07.6694235Z job-name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:53:07.6694565Z env: 2025-09-07T06:53:07.6694741Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:07.6694934Z ##[endgroup] 2025-09-07T06:53:07.6825205Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T06:53:07.6825452Z with: 2025-09-07T06:53:07.6825621Z shell: bash 2025-09-07T06:53:07.6825801Z timeout_minutes: 10 2025-09-07T06:53:07.6826001Z max_attempts: 5 2025-09-07T06:53:07.6826186Z retry_wait_seconds: 30 2025-09-07T06:53:07.6826698Z 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 2025-09-07T06:53:07.6827258Z polling_interval_seconds: 1 2025-09-07T06:53:07.6827492Z warning_on_retry: true 2025-09-07T06:53:07.6827694Z continue_on_error: false 2025-09-07T06:53:07.6827883Z env: 2025-09-07T06:53:07.6828038Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:07.6828415Z GITHUB_TOKEN: *** 2025-09-07T06:53:07.6828592Z ##[endgroup] 2025-09-07T06:53:07.8305012Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T06:53:08.0224291Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T06:53:09.0708559Z Collecting requests==2.27.1 2025-09-07T06:53:09.0858803Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T06:53:09.3177322Z Collecting pyyaml==6.0.2 2025-09-07T06:53:09.3210936Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T06:53:09.7014843Z Collecting charset-normalizer~=2.0.0 2025-09-07T06:53:09.7057781Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T06:53:09.7487008Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T06:53:09.8332486Z Collecting certifi>=2017.4.17 2025-09-07T06:53:09.8369034Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T06:53:09.8870905Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T06:53:09.9537462Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T06:53:10.3338218Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T06:53:10.7489200Z Command completed after 1 attempt(s). 2025-09-07T06:53:10.7763892Z ##[group]Run set -x 2025-09-07T06:53:10.7764129Z set -x 2025-09-07T06:53:10.7764299Z  2025-09-07T06:53:10.7764562Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T06:53:10.7764891Z # in runner workspace 2025-09-07T06:53:10.7765323Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T06:53:10.7771293Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:10.7771561Z env: 2025-09-07T06:53:10.7771745Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:10.7771943Z ##[endgroup] 2025-09-07T06:53:10.7796919Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T06:53:10.7949889Z Setting output branch=main 2025-09-07T06:53:10.8075303Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T06:53:10.8075605Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T06:53:10.8075836Z echo "Job name: ${JOB_NAME}" 2025-09-07T06:53:10.8076040Z  2025-09-07T06:53:10.8076297Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T06:53:10.8076595Z # in runner workspace 2025-09-07T06:53:10.8076881Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T06:53:10.8077225Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T06:53:10.8077451Z  --job-name "${JOB_NAME}" \ 2025-09-07T06:53:10.8079080Z  --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \ 2025-09-07T06:53:10.8080772Z  --selected-test-configs "" \ 2025-09-07T06:53:10.8081014Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T06:53:10.8081240Z  --tag "${TAG}" \ 2025-09-07T06:53:10.8081450Z  --event-name "${EVENT_NAME}" \ 2025-09-07T06:53:10.8081680Z  --schedule "${SCHEDULE}" \ 2025-09-07T06:53:10.8081906Z  --branch "${HEAD_BRANCH}" 2025-09-07T06:53:10.8086941Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:10.8087211Z env: 2025-09-07T06:53:10.8087386Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:10.8087955Z GITHUB_TOKEN: *** 2025-09-07T06:53:10.8088550Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:53:10.8088893Z PR_NUMBER: 2025-09-07T06:53:10.8089066Z TAG: 2025-09-07T06:53:10.8089240Z EVENT_NAME: push 2025-09-07T06:53:10.8089424Z SCHEDULE: 2025-09-07T06:53:10.8089614Z HEAD_BRANCH: main 2025-09-07T06:53:10.8089796Z ##[endgroup] 2025-09-07T06:53:10.8113549Z Workflow: inductor 2025-09-07T06:53:10.8113980Z Job name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:53:10.9729344Z Setting output keep-going=True 2025-09-07T06:53:10.9729822Z Setting output ci-verbose-test-logs=False 2025-09-07T06:53:10.9733296Z Setting output ci-test-showlocals=False 2025-09-07T06:53:10.9733686Z Setting output ci-no-test-timeout=False 2025-09-07T06:53:10.9733965Z Setting output ci-no-td=False 2025-09-07T06:53:10.9734285Z Setting output ci-td-distributed=False 2025-09-07T06:53:10.9734556Z Setting output is-unstable=False 2025-09-07T06:53:10.9734829Z Setting output reenabled-issues= 2025-09-07T06:53:10.9737113Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T06:53:10.9738944Z Setting output is-test-matrix-empty=False 2025-09-07T06:53:10.9869410Z ##[group]Run echo "Filtered matrix:" 2025-09-07T06:53:10.9869685Z echo "Filtered matrix:" 2025-09-07T06:53:10.9871411Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" 2025-09-07T06:53:10.9873174Z  2025-09-07T06:53:10.9873343Z echo 2025-09-07T06:53:10.9873553Z echo "Is the current job unstable? False" 2025-09-07T06:53:10.9873804Z  2025-09-07T06:53:10.9873966Z echo 2025-09-07T06:53:10.9874164Z echo "Is keep-going label set? True" 2025-09-07T06:53:10.9874399Z  2025-09-07T06:53:10.9874562Z echo 2025-09-07T06:53:10.9874745Z echo "Reenabled issues? " 2025-09-07T06:53:10.9879731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:10.9879998Z env: 2025-09-07T06:53:10.9880186Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:10.9880388Z ##[endgroup] 2025-09-07T06:53:10.9904208Z Filtered matrix: 2025-09-07T06:53:10.9905970Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]} 2025-09-07T06:53:10.9908009Z 2025-09-07T06:53:10.9908108Z Is the current job unstable? False 2025-09-07T06:53:10.9908274Z 2025-09-07T06:53:10.9908362Z Is keep-going label set? True 2025-09-07T06:53:10.9908503Z 2025-09-07T06:53:10.9908589Z Reenabled issues? 2025-09-07T06:53:10.9954338Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T06:53:10.9954724Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T06:53:10.9959577Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:10.9959846Z env: 2025-09-07T06:53:10.9960028Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:10.9960224Z JOB_TIMEOUT: 240 2025-09-07T06:53:10.9960401Z ##[endgroup] 2025-09-07T06:53:11.0014076Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:53:11.0014466Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:53:11.0014790Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T06:53:11.0019517Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T06:53:11.0019781Z env: 2025-09-07T06:53:11.0019966Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:11.0020167Z ##[endgroup] 2025-09-07T06:53:11.0129043Z ##[group]Run set -x 2025-09-07T06:53:11.0129349Z set -x 2025-09-07T06:53:11.0129521Z  2025-09-07T06:53:11.0129718Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T06:53:11.0130006Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T06:53:11.0130290Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T06:53:11.0130542Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T06:53:11.0130766Z else 2025-09-07T06:53:11.0130964Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T06:53:11.0131185Z fi 2025-09-07T06:53:11.0131338Z  2025-09-07T06:53:11.0131554Z # Leaving 1GB for the runner and other things 2025-09-07T06:53:11.0131954Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T06:53:11.0132558Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T06:53:11.0133025Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T06:53:11.0133388Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T06:53:11.0133677Z  2025-09-07T06:53:11.0133885Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T06:53:11.0134127Z  SHM_OPTS= 2025-09-07T06:53:11.0134320Z  JENKINS_USER= 2025-09-07T06:53:11.0134581Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T06:53:11.0134912Z  # if for some reason cleanup action doesn't stop container 2025-09-07T06:53:11.0135192Z  # when job is cancelled 2025-09-07T06:53:11.0135418Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T06:53:11.0135637Z else 2025-09-07T06:53:11.0135859Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T06:53:11.0136104Z  JENKINS_USER="--user jenkins" 2025-09-07T06:53:11.0136335Z  DOCKER_SHELL_CMD= 2025-09-07T06:53:11.0136532Z fi 2025-09-07T06:53:11.0136686Z  2025-09-07T06:53:11.0136934Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T06:53:11.0137295Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T06:53:11.0137699Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T06:53:11.0138054Z # shellcheck disable=SC2086,SC2090 2025-09-07T06:53:11.0138290Z container_name=$(docker run \ 2025-09-07T06:53:11.0138520Z  ${GPU_FLAG:-} \ 2025-09-07T06:53:11.0138873Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T06:53:11.0139122Z  -e BUILD_ENVIRONMENT \ 2025-09-07T06:53:11.0139340Z  -e PR_NUMBER \ 2025-09-07T06:53:11.0139553Z  -e GITHUB_ACTIONS \ 2025-09-07T06:53:11.0139775Z  -e GITHUB_REPOSITORY \ 2025-09-07T06:53:11.0140002Z  -e GITHUB_WORKFLOW \ 2025-09-07T06:53:11.0140211Z  -e GITHUB_JOB \ 2025-09-07T06:53:11.0140413Z  -e GITHUB_RUN_ID \ 2025-09-07T06:53:11.0140623Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T06:53:11.0140839Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T06:53:11.0141049Z  -e JOB_ID \ 2025-09-07T06:53:11.0141243Z  -e JOB_NAME \ 2025-09-07T06:53:11.0141440Z  -e BASE_SHA \ 2025-09-07T06:53:11.0141629Z  -e BRANCH \ 2025-09-07T06:53:11.0141808Z  -e SHA1 \ 2025-09-07T06:53:11.0142000Z  -e AWS_DEFAULT_REGION \ 2025-09-07T06:53:11.0142215Z  -e IN_WHEEL_TEST \ 2025-09-07T06:53:11.0142423Z  -e SHARD_NUMBER \ 2025-09-07T06:53:11.0142617Z  -e TEST_CONFIG \ 2025-09-07T06:53:11.0142825Z  -e NUM_TEST_SHARDS \ 2025-09-07T06:53:11.0143046Z  -e REENABLED_ISSUES \ 2025-09-07T06:53:11.0143266Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T06:53:11.0143581Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T06:53:11.0143793Z  -e TEST_SHOWLOCALS \ 2025-09-07T06:53:11.0143997Z  -e NO_TEST_TIMEOUT \ 2025-09-07T06:53:11.0144194Z  -e NO_TD \ 2025-09-07T06:53:11.0144384Z  -e TD_DISTRIBUTED \ 2025-09-07T06:53:11.0144580Z  -e PR_LABELS \ 2025-09-07T06:53:11.0144805Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T06:53:11.0145045Z  -e SCCACHE_BUCKET \ 2025-09-07T06:53:11.0145248Z  -e SCCACHE_REGION \ 2025-09-07T06:53:11.0145439Z  -e XLA_CUDA \ 2025-09-07T06:53:11.0145654Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T06:53:11.0146163Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T06:53:11.0146432Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T06:53:11.0146683Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T06:53:11.0146938Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T06:53:11.0147189Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T06:53:11.0147447Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T06:53:11.0147667Z  -e DASHBOARD_TAG \ 2025-09-07T06:53:11.0147880Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T06:53:11.0148136Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T06:53:11.0148425Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T06:53:11.0148715Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T06:53:11.0148979Z  --security-opt seccomp=unconfined \ 2025-09-07T06:53:11.0149216Z  --cap-add=SYS_PTRACE \ 2025-09-07T06:53:11.0149426Z  --ipc=host \ 2025-09-07T06:53:11.0149620Z  ${SHM_OPTS} \ 2025-09-07T06:53:11.0149798Z  --tty \ 2025-09-07T06:53:11.0149974Z  --detach \ 2025-09-07T06:53:11.0150172Z  --name="${container_name}" \ 2025-09-07T06:53:11.0150392Z  ${JENKINS_USER} \ 2025-09-07T06:53:11.0150634Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T06:53:11.0150909Z  -w /var/lib/jenkins/workspace \ 2025-09-07T06:53:11.0151134Z  "${DOCKER_IMAGE}" \ 2025-09-07T06:53:11.0151329Z  ${DOCKER_SHELL_CMD} 2025-09-07T06:53:11.0151514Z ) 2025-09-07T06:53:11.0151735Z # Propagate download.pytorch.org IP to container 2025-09-07T06:53:11.0152170Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T06:53:11.0152627Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T06:53:11.0152900Z  2025-09-07T06:53:11.0153180Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T06:53:11.0153564Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T06:53:11.0153900Z fi 2025-09-07T06:53:11.0154060Z  2025-09-07T06:53:11.0154385Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T06:53:11.0159592Z shell: /usr/bin/bash -e {0} 2025-09-07T06:53:11.0159798Z env: 2025-09-07T06:53:11.0159973Z GIT_DEFAULT_BRANCH: main 2025-09-07T06:53:11.0160218Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-09-07T06:53:11.0160465Z PR_NUMBER: 2025-09-07T06:53:11.0160652Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T06:53:11.0160882Z GITHUB_WORKFLOW: inductor 2025-09-07T06:53:11.0161079Z GITHUB_JOB: test 2025-09-07T06:53:11.0161252Z GITHUB_RUN_ID: 17524754606 2025-09-07T06:53:11.0161457Z GITHUB_RUN_NUMBER: 152138 2025-09-07T06:53:11.0161661Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T06:53:11.0161848Z JOB_ID: 49774397873 2025-09-07T06:53:11.0162143Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:53:11.0162466Z BRANCH: main 2025-09-07T06:53:11.0162766Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:11.0163038Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:11.0163287Z TEST_CONFIG: dynamic_cpu_inductor_timm 2025-09-07T06:53:11.0163508Z SHARD_NUMBER: 2 2025-09-07T06:53:11.0163686Z NUM_TEST_SHARDS: 2 2025-09-07T06:53:11.0163864Z REENABLED_ISSUES: 2025-09-07T06:53:11.0164048Z CONTINUE_THROUGH_ERROR: True 2025-09-07T06:53:11.0164255Z VERBOSE_TEST_LOGS: False 2025-09-07T06:53:11.0164452Z TEST_SHOWLOCALS: False 2025-09-07T06:53:11.0164643Z NO_TEST_TIMEOUT: False 2025-09-07T06:53:11.0164817Z NO_TD: False 2025-09-07T06:53:11.0164989Z TD_DISTRIBUTED: False 2025-09-07T06:53:11.0165225Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T06:53:11.0165487Z SCCACHE_REGION: us-east-1 2025-09-07T06:53:11.0165670Z SHM_SIZE: 1g 2025-09-07T06:53:11.0166228Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T06:53:11.0166808Z XLA_CUDA: 2025-09-07T06:53:11.0167073Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T06:53:11.0167384Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T06:53:11.0167611Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T06:53:11.0167827Z DASHBOARD_TAG: 2025-09-07T06:53:11.0168415Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T06:53:11.0168732Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T06:53:11.0169028Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T06:53:11.0169386Z ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873 2025-09-07T06:53:11.0169711Z ##[endgroup] 2025-09-07T06:53:11.0192554Z + [[ dynamic_cpu_inductor_timm == \m\u\l\t\i\g\p\u ]] 2025-09-07T06:53:11.0192906Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-09-07T06:53:11.0193185Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T06:53:11.0196913Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T06:53:11.0220006Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-09-07T06:53:11.0220464Z + TOTAL_MEMORY_WITH_SWAP=125 2025-09-07T06:53:11.0226399Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T06:53:11.0226737Z + SHM_OPTS=--shm-size=1g 2025-09-07T06:53:11.0226972Z + JENKINS_USER='--user jenkins' 2025-09-07T06:53:11.0227185Z + DOCKER_SHELL_CMD= 2025-09-07T06:53:11.0227744Z +++ nproc --ignore=2 2025-09-07T06:53:11.0258801Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_17524754606 --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 2025-09-07T06:53:22.3897416Z + container_name=40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T06:53:22.3901636Z + grep download.pytorch.org /etc/hosts 2025-09-07T06:53:22.3903715Z + docker exec -i 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T06:53:22.5035594Z + echo DOCKER_CONTAINER_ID=40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T06:53:22.5036083Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T06:53:22.5040326Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T06:53:22.5042415Z + docker exec -t 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T06:53:22.8668245Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T06:53:23.0938293Z 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) 2025-09-07T06:53:23.0939307Z 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) 2025-09-07T06:53:23.0940936Z 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) 2025-09-07T06:53:23.0946876Z 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) 2025-09-07T06:53:23.0947784Z 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) 2025-09-07T06:53:23.0953131Z 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) 2025-09-07T06:53:23.0964753Z 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) 2025-09-07T06:53:23.1290529Z 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) 2025-09-07T06:53:23.1308487Z 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) 2025-09-07T06:53:23.1345523Z 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) 2025-09-07T06:53:23.9671479Z Installing collected packages: torch 2025-09-07T06:53:31.6932551Z 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. 2025-09-07T06:53:31.6933244Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T06:53:31.6933599Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T06:53:31.6933987Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T06:53:31.6934516Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T06:53:31.6935044Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T06:53:31.6935412Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T06:53:31.8077580Z + export TERM=vt100 2025-09-07T06:53:31.8077829Z + TERM=vt100 2025-09-07T06:53:31.8078023Z ++ dirname .ci/pytorch/test.sh 2025-09-07T06:53:31.8081965Z + source .ci/pytorch/common.sh 2025-09-07T06:53:31.8084138Z +++ dirname .ci/pytorch/common.sh 2025-09-07T06:53:31.8095474Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T06:53:31.8095766Z +++ declare -f -t trap_add 2025-09-07T06:53:31.8102004Z ++ set -ex -o pipefail 2025-09-07T06:53:31.8102296Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T06:53:31.8102560Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T06:53:31.8103138Z ++ dirname .ci/pytorch/test.sh 2025-09-07T06:53:31.8109565Z + source .ci/pytorch/common-build.sh 2025-09-07T06:53:31.8111602Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-09-07T06:53:31.8116398Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T06:53:31.8125392Z +++ cd .ci/pytorch 2025-09-07T06:53:31.8125634Z +++ pwd -P 2025-09-07T06:53:31.8130793Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T06:53:31.8131172Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-09-07T06:53:31.8131422Z ++ which sccache 2025-09-07T06:53:31.8144116Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T06:53:31.8144368Z ++ sccache --stop-server 2025-09-07T06:53:31.8173825Z ++ true 2025-09-07T06:53:31.8175892Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T06:53:31.8185336Z ++ trap_add sccache_epilogue EXIT 2025-09-07T06:53:31.8185620Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T06:53:31.8185842Z ++ shift 2025-09-07T06:53:31.8186024Z ++ for trap_add_name in "$@" 2025-09-07T06:53:31.8194025Z ++++ trap -p EXIT 2025-09-07T06:53:31.8194295Z +++ eval 'extract_trap_cmd ' 2025-09-07T06:53:31.8194529Z ++++ extract_trap_cmd 2025-09-07T06:53:31.8194885Z ++++ printf '%s\n' '' 2025-09-07T06:53:31.8195116Z +++ printf '%s\n' sccache_epilogue 2025-09-07T06:53:31.8198322Z ++ trap -- ' 2025-09-07T06:53:31.8198521Z sccache_epilogue' EXIT 2025-09-07T06:53:31.8198867Z ++ [[ -n 1 ]] 2025-09-07T06:53:31.8199227Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T06:53:31.8199647Z Skipping sccache server initialization, setting environment variables 2025-09-07T06:53:31.8202505Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T06:53:31.8202790Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T06:53:31.8203061Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T06:53:31.8203396Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T06:53:31.8203738Z ++ export RUST_LOG=sccache::server=error 2025-09-07T06:53:31.8203985Z ++ RUST_LOG=sccache::server=error 2025-09-07T06:53:31.8204200Z ++ sccache --zero-stats 2025-09-07T06:53:31.9817778Z Statistics zeroed. 2025-09-07T06:53:31.9818658Z ++ which ccache 2025-09-07T06:53:31.9849705Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-09-07T06:53:31.9850031Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-09-07T06:53:31.9850307Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T06:53:31.9855977Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T06:53:31.9870877Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T06:53:31.9873891Z + trap_add cleanup_workspace EXIT 2025-09-07T06:53:31.9880677Z + trap_add_cmd=cleanup_workspace 2025-09-07T06:53:31.9880982Z + shift 2025-09-07T06:53:31.9881733Z + for trap_add_name in "$@" 2025-09-07T06:53:31.9882006Z +++ trap -p EXIT 2025-09-07T06:53:31.9882218Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T06:53:31.9882455Z sccache_epilogue'\'' EXIT' 2025-09-07T06:53:31.9882676Z +++ extract_trap_cmd trap -- ' 2025-09-07T06:53:31.9882891Z sccache_epilogue' EXIT 2025-09-07T06:53:31.9883096Z +++ printf '%s\n' ' 2025-09-07T06:53:31.9883270Z sccache_epilogue' 2025-09-07T06:53:31.9883475Z ++ printf '%s\n' cleanup_workspace 2025-09-07T06:53:31.9883691Z + trap -- ' 2025-09-07T06:53:31.9883860Z sccache_epilogue 2025-09-07T06:53:31.9884036Z cleanup_workspace' EXIT 2025-09-07T06:53:31.9884278Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T06:53:32.4312537Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T06:53:32.4329677Z + echo 'Environment variables:' 2025-09-07T06:53:32.4333935Z Environment variables: 2025-09-07T06:53:32.4334227Z + env 2025-09-07T06:53:32.4340634Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T06:53:32.4341019Z CONTINUE_THROUGH_ERROR=True 2025-09-07T06:53:32.4341305Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T06:53:32.4341806Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T06:53:32.4342028Z HOSTNAME=40570931eb7a 2025-09-07T06:53:32.4342725Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4343147Z GITHUB_ACTION=__run_2 2025-09-07T06:53:32.4343341Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T06:53:32.4343562Z GITHUB_RUN_NUMBER=152138 2025-09-07T06:53:32.4343774Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-09-07T06:53:32.4344001Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T06:53:32.4344232Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T06:53:32.4344458Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T06:53:32.4344736Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T06:53:32.4344962Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T06:53:32.4345193Z GITHUB_REF_TYPE=branch 2025-09-07T06:53:32.4345412Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:32.4345648Z XLA_CUDA= 2025-09-07T06:53:32.4345998Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T06:53:32.4346305Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T06:53:32.4365698Z *** 2025-09-07T06:53:32.4365925Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T06:53:32.4366175Z GITHUB_ACTIONS=true 2025-09-07T06:53:32.4366408Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T06:53:32.4366686Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:32.4366953Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:32.4367315Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-09-07T06:53:32.4367645Z UCC_HOME=/usr 2025-09-07T06:53:32.4367819Z VERBOSE_TEST_LOGS=False 2025-09-07T06:53:32.4368330Z GITHUB_REF=refs/heads/main 2025-09-07T06:53:32.4368549Z SHARD_NUMBER=2 2025-09-07T06:53:32.4368736Z GITHUB_REF_PROTECTED=true 2025-09-07T06:53:32.4368929Z HOME=/var/lib/jenkins 2025-09-07T06:53:32.4369166Z GITHUB_API_URL=https://api.github.com 2025-09-07T06:53:32.4369414Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T06:53:32.4369679Z UCX_COMMIT= 2025-09-07T06:53:32.4369853Z USE_SYSTEM_NCCL=1 2025-09-07T06:53:32.4370020Z NUM_TEST_SHARDS=2 2025-09-07T06:53:32.4370188Z UCX_HOME=/usr 2025-09-07T06:53:32.4370579Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4371123Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:53:32.4371647Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4372177Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T06:53:32.4372511Z GITHUB_EVENT_NAME=push 2025-09-07T06:53:32.4372702Z DASHBOARD_TAG= 2025-09-07T06:53:32.4372878Z GITHUB_RUN_ID=17524754606 2025-09-07T06:53:32.4373280Z INSTALLED_OPENBLAS= 2025-09-07T06:53:32.4373696Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4374151Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T06:53:32.4374362Z PR_NUMBER= 2025-09-07T06:53:32.4374519Z DESIRED_CUDA= 2025-09-07T06:53:32.4374697Z GITHUB_RUN_ATTEMPT=1 2025-09-07T06:53:32.4374898Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T06:53:32.4375144Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T06:53:32.4375384Z TERM=vt100 2025-09-07T06:53:32.4375553Z INSTALLED_VISION=yes 2025-09-07T06:53:32.4375733Z BRANCH=main 2025-09-07T06:53:32.4375905Z SCCACHE_REGION=us-east-1 2025-09-07T06:53:32.4376107Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T06:53:32.4376316Z CUDA_PATH=/usr/local/cuda 2025-09-07T06:53:32.4376671Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T06:53:32.4377077Z GITHUB_SERVER_URL=https://github.com 2025-09-07T06:53:32.4377304Z UCC_COMMIT= 2025-09-07T06:53:32.4377462Z REENABLED_ISSUES= 2025-09-07T06:53:32.4377623Z DOCS=yes 2025-09-07T06:53:32.4377768Z SHLVL=1 2025-09-07T06:53:32.4377958Z MAX_JOBS=30 2025-09-07T06:53:32.4378118Z GITHUB_ACTOR_ID=97764156 2025-09-07T06:53:32.4378442Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:32.4378695Z GITHUB_REF_NAME=main 2025-09-07T06:53:32.4378956Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T06:53:32.4379222Z GITHUB_JOB=test 2025-09-07T06:53:32.4379390Z NO_TEST_TIMEOUT=False 2025-09-07T06:53:32.4379567Z TD_DISTRIBUTED=False 2025-09-07T06:53:32.4379795Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T06:53:32.4379996Z GITHUB_RETENTION_DAYS=90 2025-09-07T06:53:32.4380179Z OPENSSL_DIR=/opt/openssl 2025-09-07T06:53:32.4380361Z GITHUB_ACTION_REPOSITORY= 2025-09-07T06:53:32.4380842Z 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 2025-09-07T06:53:32.4381309Z GITHUB_BASE_REF= 2025-09-07T06:53:32.4381493Z INSTALLED_ACL= 2025-09-07T06:53:32.4381766Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873 2025-09-07T06:53:32.4382067Z CI=true 2025-09-07T06:53:32.4382220Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T06:53:32.4382468Z RUST_LOG=sccache::server=error 2025-09-07T06:53:32.4382653Z JOB_ID=49774397873 2025-09-07T06:53:32.4382813Z GITHUB_HEAD_REF= 2025-09-07T06:53:32.4382967Z GITHUB_ACTION_REF= 2025-09-07T06:53:32.4383167Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T06:53:32.4383398Z TEST_SHOWLOCALS=False 2025-09-07T06:53:32.4383570Z GITHUB_WORKFLOW=inductor 2025-09-07T06:53:32.4383748Z DEBIAN_FRONTEND=noninteractive 2025-09-07T06:53:32.4384138Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4384522Z NO_TD=False 2025-09-07T06:53:32.4384688Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T06:53:32.4384891Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T06:53:32.4385097Z _=/usr/bin/env 2025-09-07T06:53:32.4385319Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T06:53:32.4601718Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-09-07T06:53:32.4602279Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-09-07T06:53:32.4602684Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-09-07T06:53:32.4603078Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-09-07T06:53:32.4603399Z + BUILD_DIR=build 2025-09-07T06:53:32.4603605Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T06:53:32.4603833Z + BUILD_BIN_DIR=build/bin 2025-09-07T06:53:32.4604025Z + SHARD_NUMBER=2 2025-09-07T06:53:32.4604208Z + NUM_TEST_SHARDS=2 2025-09-07T06:53:32.4604414Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T06:53:32.4604649Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T06:53:32.4605115Z + export VALGRIND=ON 2025-09-07T06:53:32.4605305Z + VALGRIND=ON 2025-09-07T06:53:32.4605528Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-09-07T06:53:32.4605815Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T06:53:32.4606047Z + detect_cuda_arch 2025-09-07T06:53:32.4606269Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T06:53:32.4606539Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-09-07T06:53:32.4606773Z + [[ 0 == \1 ]] 2025-09-07T06:53:32.4606935Z + [[ True == \1 ]] 2025-09-07T06:53:32.4607138Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-09-07T06:53:32.4607396Z ++ realpath build/custom_test_artifacts 2025-09-07T06:53:32.4608748Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T06:53:32.4611727Z + [[ -n '' ]] 2025-09-07T06:53:32.4611922Z + echo 'Environment variables' 2025-09-07T06:53:32.4612143Z Environment variables 2025-09-07T06:53:32.4612330Z + env 2025-09-07T06:53:32.4626881Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T06:53:32.4627720Z CONTINUE_THROUGH_ERROR=True 2025-09-07T06:53:32.4628187Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T06:53:32.4628724Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T06:53:32.4628929Z HOSTNAME=40570931eb7a 2025-09-07T06:53:32.4629480Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4629890Z GITHUB_ACTION=__run_2 2025-09-07T06:53:32.4630089Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T06:53:32.4630300Z GITHUB_RUN_NUMBER=152138 2025-09-07T06:53:32.4630514Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-09-07T06:53:32.4630752Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T06:53:32.4630993Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T06:53:32.4631218Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T06:53:32.4631499Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T06:53:32.4631731Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T06:53:32.4631962Z GITHUB_REF_TYPE=branch 2025-09-07T06:53:32.4632177Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:32.4632417Z XLA_CUDA= 2025-09-07T06:53:32.4632598Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T06:53:32.4633036Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T06:53:32.4633300Z *** 2025-09-07T06:53:32.4633463Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T06:53:32.4633667Z GITHUB_ACTIONS=true 2025-09-07T06:53:32.4633888Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T06:53:32.4634162Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:32.4634415Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:32.4634769Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-09-07T06:53:32.4635088Z UCC_HOME=/usr 2025-09-07T06:53:32.4635269Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T06:53:32.4635462Z VERBOSE_TEST_LOGS=False 2025-09-07T06:53:32.4635654Z GITHUB_REF=refs/heads/main 2025-09-07T06:53:32.4635844Z SHARD_NUMBER=2 2025-09-07T06:53:32.4636020Z GITHUB_REF_PROTECTED=true 2025-09-07T06:53:32.4636202Z HOME=/var/lib/jenkins 2025-09-07T06:53:32.4636412Z GITHUB_API_URL=https://api.github.com 2025-09-07T06:53:32.4636648Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T06:53:32.4636854Z UCX_COMMIT= 2025-09-07T06:53:32.4637009Z USE_SYSTEM_NCCL=1 2025-09-07T06:53:32.4637187Z NUM_TEST_SHARDS=2 2025-09-07T06:53:32.4637352Z UCX_HOME=/usr 2025-09-07T06:53:32.4637730Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4638247Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T06:53:32.4638757Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4639268Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T06:53:32.4639591Z GITHUB_EVENT_NAME=push 2025-09-07T06:53:32.4639842Z DASHBOARD_TAG= 2025-09-07T06:53:32.4640006Z GITHUB_RUN_ID=17524754606 2025-09-07T06:53:32.4640197Z INSTALLED_OPENBLAS= 2025-09-07T06:53:32.4640597Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4641032Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T06:53:32.4641223Z PR_NUMBER= 2025-09-07T06:53:32.4641386Z DESIRED_CUDA= 2025-09-07T06:53:32.4641553Z GITHUB_RUN_ATTEMPT=1 2025-09-07T06:53:32.4641733Z VALGRIND=ON 2025-09-07T06:53:32.4641902Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T06:53:32.4642145Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T06:53:32.4642389Z TERM=vt100 2025-09-07T06:53:32.4642557Z INSTALLED_VISION=yes 2025-09-07T06:53:32.4642728Z BRANCH=main 2025-09-07T06:53:32.4642899Z SCCACHE_REGION=us-east-1 2025-09-07T06:53:32.4643106Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T06:53:32.4643316Z CUDA_PATH=/usr/local/cuda 2025-09-07T06:53:32.4643663Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T06:53:32.4644059Z GITHUB_SERVER_URL=https://github.com 2025-09-07T06:53:32.4644281Z UCC_COMMIT= 2025-09-07T06:53:32.4644444Z REENABLED_ISSUES= 2025-09-07T06:53:32.4644607Z DOCS=yes 2025-09-07T06:53:32.4644765Z SHLVL=1 2025-09-07T06:53:32.4644973Z MAX_JOBS=30 2025-09-07T06:53:32.4645135Z GITHUB_ACTOR_ID=97764156 2025-09-07T06:53:32.4645387Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T06:53:32.4645651Z GITHUB_REF_NAME=main 2025-09-07T06:53:32.4646121Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T06:53:32.4646418Z GITHUB_JOB=test 2025-09-07T06:53:32.4646599Z NO_TEST_TIMEOUT=False 2025-09-07T06:53:32.4646788Z TD_DISTRIBUTED=False 2025-09-07T06:53:32.4646993Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T06:53:32.4647209Z GITHUB_RETENTION_DAYS=90 2025-09-07T06:53:32.4647407Z OPENSSL_DIR=/opt/openssl 2025-09-07T06:53:32.4647606Z GITHUB_ACTION_REPOSITORY= 2025-09-07T06:53:32.4648423Z 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 2025-09-07T06:53:32.4648952Z GITHUB_BASE_REF= 2025-09-07T06:53:32.4649124Z INSTALLED_ACL= 2025-09-07T06:53:32.4649435Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873 2025-09-07T06:53:32.4649772Z CI=true 2025-09-07T06:53:32.4649952Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T06:53:32.4650215Z RUST_LOG=sccache::server=error 2025-09-07T06:53:32.4650420Z JOB_ID=49774397873 2025-09-07T06:53:32.4650594Z GITHUB_HEAD_REF= 2025-09-07T06:53:32.4650771Z GITHUB_ACTION_REF= 2025-09-07T06:53:32.4650986Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T06:53:32.4651241Z TEST_SHOWLOCALS=False 2025-09-07T06:53:32.4651431Z GITHUB_WORKFLOW=inductor 2025-09-07T06:53:32.4651624Z DEBIAN_FRONTEND=noninteractive 2025-09-07T06:53:32.4652043Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_bde53137-f88c-4fc9-baa0-e43ca1904130 2025-09-07T06:53:32.4652462Z NO_TD=False 2025-09-07T06:53:32.4652639Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T06:53:32.4652868Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T06:53:32.4653091Z _=/usr/bin/env 2025-09-07T06:53:32.4653265Z + echo 'Testing pytorch' 2025-09-07T06:53:32.4653460Z Testing pytorch 2025-09-07T06:53:32.4653658Z + export LANG=C.UTF-8 2025-09-07T06:53:32.4653833Z + LANG=C.UTF-8 2025-09-07T06:53:32.4654017Z + PR_NUMBER= 2025-09-07T06:53:32.4654220Z + [[ dynamic_cpu_inductor_timm == \d\e\f\a\u\l\t ]] 2025-09-07T06:53:32.4654508Z + [[ dynamic_cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T06:53:32.4654774Z + [[ dynamic_cpu_inductor_timm == \s\l\o\w ]] 2025-09-07T06:53:32.4655057Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-09-07T06:53:32.4655349Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T06:53:32.4655619Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T06:53:32.4655972Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T06:53:32.4656227Z + [[ dynamic_cpu_inductor_timm == *crossref* ]] 2025-09-07T06:53:32.4656464Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T06:53:32.4656707Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T06:53:32.4656964Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T06:53:32.4657216Z + pip_install ninja==1.10.2 2025-09-07T06:53:32.4657479Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T06:53:32.4657794Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T06:53:32.8580653Z Collecting ninja==1.10.2 2025-09-07T06:53:32.8672615Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T06:53:32.8807358Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T06:53:33.6907665Z Installing collected packages: ninja 2025-09-07T06:53:33.6911091Z Attempting uninstall: ninja 2025-09-07T06:53:33.6911378Z Found existing installation: ninja 1.11.1.3 2025-09-07T06:53:33.6931326Z Uninstalling ninja-1.11.1.3: 2025-09-07T06:53:33.7066949Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T06:53:33.8883097Z Successfully installed ninja-1.10.2 2025-09-07T06:53:33.9871594Z + 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 2025-09-07T06:53:33.9872700Z + 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 2025-09-07T06:53:33.9873328Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T06:53:33.9873622Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-09-07T06:53:33.9873890Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-09-07T06:53:33.9874167Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T06:53:33.9874562Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-09-07T06:53:33.9874996Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-09-07T06:53:33.9875314Z + cd test 2025-09-07T06:53:33.9875578Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T06:53:34.2934723Z /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. 2025-09-07T06:53:34.2936296Z import pynvml # type: ignore[import] 2025-09-07T06:53:35.2519921Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T06:53:35.2520363Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T06:53:35.2520721Z + [[ dynamic_cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T06:53:35.2521991Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T06:53:35.2523012Z + [[ dynamic_cpu_inductor_timm == *pr_time_benchmarks* ]] 2025-09-07T06:53:35.2523409Z + [[ dynamic_cpu_inductor_timm == *dynamo_eager* ]] 2025-09-07T06:53:35.2523748Z + [[ dynamic_cpu_inductor_timm == *aot_eager* ]] 2025-09-07T06:53:35.2524009Z + [[ dynamic_cpu_inductor_timm == *aot_inductor* ]] 2025-09-07T06:53:35.2524308Z + [[ dynamic_cpu_inductor_timm == *max_autotune_inductor* ]] 2025-09-07T06:53:35.2524609Z + [[ dynamic_cpu_inductor_timm == *inductor* ]] 2025-09-07T06:53:35.2524877Z + [[ dynamic_cpu_inductor_timm != *perf* ]] 2025-09-07T06:53:35.2525154Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-09-07T06:53:35.2525405Z + [[ dynamic_cpu_inductor_timm == *dynamic* ]] 2025-09-07T06:53:35.2525737Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-09-07T06:53:35.2526058Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-09-07T06:53:35.2526689Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T06:53:35.2759450Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T06:53:35.2759931Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-09-07T06:53:35.2763091Z + cd test 2025-09-07T06:53:35.2763455Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T06:53:35.5985584Z /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. 2025-09-07T06:53:35.5986473Z import pynvml # type: ignore[import] 2025-09-07T06:53:36.3082781Z PyTorch built with: 2025-09-07T06:53:36.3083069Z - GCC 11.4 2025-09-07T06:53:36.3083260Z - C++ Version: 201703 2025-09-07T06:53:36.3083705Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T06:53:36.3084251Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T06:53:36.3084569Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T06:53:36.3084823Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T06:53:36.3085064Z - NNPACK is enabled 2025-09-07T06:53:36.3085654Z - CPU capability usage: AVX512 2025-09-07T06:53:36.3088944Z - 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, 2025-09-07T06:53:36.3092064Z 2025-09-07T06:53:36.5232656Z + cd test 2025-09-07T06:53:36.5233042Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T06:53:36.8175721Z /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. 2025-09-07T06:53:36.8177225Z import pynvml # type: ignore[import] 2025-09-07T06:53:37.5395615Z ATen/Parallel: 2025-09-07T06:53:37.5399930Z at::get_num_threads() : 16 2025-09-07T06:53:37.5403318Z at::get_num_interop_threads() : 16 2025-09-07T06:53:37.5404085Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T06:53:37.5404376Z omp_get_max_threads() : 16 2025-09-07T06:53:37.5404817Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T06:53:37.5405217Z mkl_get_max_threads() : 16 2025-09-07T06:53:37.5405512Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T06:53:37.5405888Z std::thread::hardware_concurrency() : 32 2025-09-07T06:53:37.5406132Z Environment variables: 2025-09-07T06:53:37.5406333Z OMP_NUM_THREADS : [not set] 2025-09-07T06:53:37.5406542Z MKL_NUM_THREADS : [not set] 2025-09-07T06:53:37.5406746Z ATen parallel backend: OpenMP 2025-09-07T06:53:37.5406877Z 2025-09-07T06:53:37.7635547Z + [[ dynamic_cpu_inductor_timm == *numpy_2* ]] 2025-09-07T06:53:37.7636306Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T06:53:37.7636606Z + [[ dynamic_cpu_inductor_timm == *backward* ]] 2025-09-07T06:53:37.7636889Z + [[ dynamic_cpu_inductor_timm == *xla* ]] 2025-09-07T06:53:37.7637156Z + [[ dynamic_cpu_inductor_timm == *vllm* ]] 2025-09-07T06:53:37.7637427Z + [[ dynamic_cpu_inductor_timm == *executorch* ]] 2025-09-07T06:53:37.7637699Z + [[ dynamic_cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T06:53:37.7637992Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T06:53:37.7638265Z + [[ dynamic_cpu_inductor_timm == distributed ]] 2025-09-07T06:53:37.7638542Z + [[ dynamic_cpu_inductor_timm == *operator_benchmark* ]] 2025-09-07T06:53:37.7638850Z + [[ dynamic_cpu_inductor_timm == *inductor_distributed* ]] 2025-09-07T06:53:37.7639182Z + [[ dynamic_cpu_inductor_timm == *inductor-halide* ]] 2025-09-07T06:53:37.7639511Z + [[ dynamic_cpu_inductor_timm == *inductor-triton-cpu* ]] 2025-09-07T06:53:37.7639843Z + [[ dynamic_cpu_inductor_timm == *inductor-micro-benchmark* ]] 2025-09-07T06:53:37.7640150Z + [[ dynamic_cpu_inductor_timm == *huggingface* ]] 2025-09-07T06:53:37.7640401Z + [[ dynamic_cpu_inductor_timm == *timm* ]] 2025-09-07T06:53:37.7640632Z + install_torchvision 2025-09-07T06:53:37.7640832Z + local orig_preload 2025-09-07T06:53:37.7641147Z + local commit 2025-09-07T06:53:37.7641337Z ++ get_pinned_commit vision 2025-09-07T06:53:37.7641566Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T06:53:37.8132133Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T06:53:37.8132568Z + orig_preload= 2025-09-07T06:53:37.8132758Z + '[' -n '' ']' 2025-09-07T06:53:37.8132988Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T06:53:37.8133557Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T06:53:37.8134259Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T06:53:37.8134736Z + local wheel_dir=dist/vision 2025-09-07T06:53:37.8134939Z + local found_whl=0 2025-09-07T06:53:37.8135135Z + for file in "${wheel_dir}"/*.whl 2025-09-07T06:53:37.8135552Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T06:53:37.8135886Z + found_whl=1 2025-09-07T06:53:37.8136064Z + break 2025-09-07T06:53:37.8136288Z + '[' 1 == 0 ']' 2025-09-07T06:53:37.8136482Z + for file in "${wheel_dir}"/*.whl 2025-09-07T06:53:37.8136821Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:53:37.8137385Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-09-07T06:53:37.8137730Z + local args 2025-09-07T06:53:37.8138059Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T06:53:37.8138400Z + for path in "${args[@]}" 2025-09-07T06:53:37.8138808Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-09-07T06:53:37.8139317Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:53:37.8139863Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:53:38.1241705Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T06:53:38.1326334Z Installing collected packages: torchvision 2025-09-07T06:53:38.5347147Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T06:53:38.5788094Z + '[' -n '' ']' 2025-09-07T06:53:38.5790653Z + id=1 2025-09-07T06:53:38.5790892Z + test_dynamo_benchmark timm_models 1 2025-09-07T06:53:38.5791155Z ++ pwd 2025-09-07T06:53:38.5791381Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T06:53:38.5791673Z + local suite=timm_models 2025-09-07T06:53:38.5791868Z + shift 2025-09-07T06:53:38.5792025Z + local shard_id=1 2025-09-07T06:53:38.5792191Z + shift 2025-09-07T06:53:38.5792386Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-09-07T06:53:38.5793016Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-09-07T06:53:38.5793258Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-09-07T06:53:38.5793468Z + local dt=float32 2025-09-07T06:53:38.5793662Z + [[ dynamic_cpu_inductor_timm == *amp* ]] 2025-09-07T06:53:38.5793917Z + [[ dynamic_cpu_inductor_timm == *freezing* ]] 2025-09-07T06:53:38.5794243Z + test_single_dynamo_benchmark inference timm_models 1 --inference --float32 2025-09-07T06:53:38.5794547Z ++ pwd 2025-09-07T06:53:38.5794766Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T06:53:38.5795086Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T06:53:38.5813451Z + local name=inference 2025-09-07T06:53:38.5814217Z + shift 2025-09-07T06:53:38.5814490Z + local suite=timm_models 2025-09-07T06:53:38.5814746Z + shift 2025-09-07T06:53:38.5814962Z + local shard_id=1 2025-09-07T06:53:38.5815177Z + shift 2025-09-07T06:53:38.5815375Z + partition_flags=() 2025-09-07T06:53:38.5815624Z + local partition_flags 2025-09-07T06:53:38.5815894Z + [[ -n 2 ]] 2025-09-07T06:53:38.5816088Z + [[ -n 1 ]] 2025-09-07T06:53:38.5816471Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T06:53:38.5816913Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-09-07T06:53:38.5817564Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-09-07T06:53:38.5817853Z + [[ dynamic_cpu_inductor_timm == *_avx2* ]] 2025-09-07T06:53:38.5818153Z + [[ dynamic_cpu_inductor_timm == *_avx512* ]] 2025-09-07T06:53:38.5819204Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-09-07T06:53:39.3772938Z /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. 2025-09-07T06:53:39.3773974Z import pynvml # type: ignore[import] 2025-09-07T06:53:43.0352305Z /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. 2025-09-07T06:53:43.0353233Z import pynvml # type: ignore[import] 2025-09-07T06:53:45.9163482Z 2025-09-07T06:53:46.0840469Z loading model: 0it [00:00, ?it/s] 2025-09-07T06:53:46.0841001Z 2025-09-07T06:53:46.1791315Z model.safetensors: 0% 0.00/29.6M [00:00 2025-09-07T06:54:21.4952510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4952691Z 2025-09-07T06:54:21.4952784Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.4953095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4953553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4953916Z return mod(*inputs) 2025-09-07T06:54:21.4954261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4954642Z x = self.forward_features(x) 2025-09-07T06:54:21.4955031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4955425Z x = self.blocks(x) 2025-09-07T06:54:21.4955787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.4956180Z x = self.conv_pw(x) 2025-09-07T06:54:21.4956528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.4956938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4957361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.4957774Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4957958Z 2025-09-07T06:54:21.4958048Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.4958292Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.4958556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4958955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4959304Z return mod(*inputs) 2025-09-07T06:54:21.4959659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4960124Z x = self.forward_features(x) 2025-09-07T06:54:21.4960519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4960910Z x = self.blocks(x) 2025-09-07T06:54:21.4961283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.4961675Z x = self.conv_pw(x) 2025-09-07T06:54:21.4962022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.4962400Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.4962526Z 2025-09-07T06:54:21.4962642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4963040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4963400Z return mod(*inputs) 2025-09-07T06:54:21.4963755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4964126Z x = self.forward_features(x) 2025-09-07T06:54:21.4964558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4964962Z x = self.blocks(x) 2025-09-07T06:54:21.4965329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.4965712Z x = self.bn1(x) 2025-09-07T06:54:21.4966037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.4966396Z x = self.act(x) 2025-09-07T06:54:21.4966499Z 2025-09-07T06:54:21.4966624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4967024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4967374Z return mod(*inputs) 2025-09-07T06:54:21.4967725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4968236Z x = self.forward_features(x) 2025-09-07T06:54:21.4968650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4969053Z x = self.blocks(x) 2025-09-07T06:54:21.4969413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.4969806Z x = self.conv_dw(x) 2025-09-07T06:54:21.4970153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.4970601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4971015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.4971443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4971627Z 2025-09-07T06:54:21.4971744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4972133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4972490Z return mod(*inputs) 2025-09-07T06:54:21.4972832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4973213Z x = self.forward_features(x) 2025-09-07T06:54:21.4973602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4974007Z x = self.blocks(x) 2025-09-07T06:54:21.4974361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.4974746Z x = self.conv_dw(x) 2025-09-07T06:54:21.4975084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.4975556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4975977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.4976400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4976582Z 2025-09-07T06:54:21.4976699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4977095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4977454Z return mod(*inputs) 2025-09-07T06:54:21.4977802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4978185Z x = self.forward_features(x) 2025-09-07T06:54:21.4978592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4979005Z x = self.blocks(x) 2025-09-07T06:54:21.4979368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.4979753Z x = self.conv_dw(x) 2025-09-07T06:54:21.4980158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.4980591Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4981026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.4981458Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4981632Z 2025-09-07T06:54:21.4981723Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.4981967Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.4982232Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.4982496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4982886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4983256Z return mod(*inputs) 2025-09-07T06:54:21.4983630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4984011Z x = self.forward_features(x) 2025-09-07T06:54:21.4984400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4984787Z x = self.blocks(x) 2025-09-07T06:54:21.4985160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.4985571Z x = self.conv_dw(x) 2025-09-07T06:54:21.4985915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.4986311Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.4986449Z 2025-09-07T06:54:21.4986564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4986967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4987322Z return mod(*inputs) 2025-09-07T06:54:21.4987677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4988050Z x = self.forward_features(x) 2025-09-07T06:54:21.4988442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4988836Z x = self.blocks(x) 2025-09-07T06:54:21.4989197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T06:54:21.4989592Z x = self.bn2(x) 2025-09-07T06:54:21.4989921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.4990322Z x = self.act(x) 2025-09-07T06:54:21.4990425Z 2025-09-07T06:54:21.4990547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4990946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4991300Z return mod(*inputs) 2025-09-07T06:54:21.4991651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4992037Z x = self.forward_features(x) 2025-09-07T06:54:21.4992430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4992823Z x = self.blocks(x) 2025-09-07T06:54:21.4993185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.4993584Z x = self.conv_pwl(x) 2025-09-07T06:54:21.4993944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.4994362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4995117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.4995628Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.4995815Z 2025-09-07T06:54:21.4995933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.4996335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.4996691Z return mod(*inputs) 2025-09-07T06:54:21.4997039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.4997420Z x = self.forward_features(x) 2025-09-07T06:54:21.4997817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.4998218Z x = self.blocks(x) 2025-09-07T06:54:21.4998580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.4998982Z x = self.conv_pwl(x) 2025-09-07T06:54:21.4999340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.4999748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5000167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5000578Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5000759Z 2025-09-07T06:54:21.5000848Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5001163Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5001571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5001965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5002364Z return mod(*inputs) 2025-09-07T06:54:21.5002912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5003424Z x = self.forward_features(x) 2025-09-07T06:54:21.5003856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5004393Z x = self.blocks(x) 2025-09-07T06:54:21.5004928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5005409Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5005940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5006406Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5006576Z 2025-09-07T06:54:21.5006727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5007214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5007765Z return mod(*inputs) 2025-09-07T06:54:21.5008228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5008673Z x = self.forward_features(x) 2025-09-07T06:54:21.5009269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5009816Z x = self.blocks(x) 2025-09-07T06:54:21.5010334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T06:54:21.5010819Z x = self.bn3(x) 2025-09-07T06:54:21.5011339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5011790Z x = F.batch_norm( 2025-09-07T06:54:21.5011901Z 2025-09-07T06:54:21.5012032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5012567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5013036Z return mod(*inputs) 2025-09-07T06:54:21.5013481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5014009Z x = self.forward_features(x) 2025-09-07T06:54:21.5014521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5015139Z x = self.blocks(x) 2025-09-07T06:54:21.5015656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5016113Z x = self.conv_pw(x) 2025-09-07T06:54:21.5016551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5017189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5017626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5018173Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5018454Z 2025-09-07T06:54:21.5018592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5019078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5019600Z return mod(*inputs) 2025-09-07T06:54:21.5019948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5020333Z x = self.forward_features(x) 2025-09-07T06:54:21.5020857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5021368Z x = self.blocks(x) 2025-09-07T06:54:21.5021868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5022331Z x = self.conv_pw(x) 2025-09-07T06:54:21.5022829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5023445Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5023962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5024557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5024843Z 2025-09-07T06:54:21.5024980Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5025249Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5025515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5025903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5026321Z return mod(*inputs) 2025-09-07T06:54:21.5026758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5027336Z x = self.forward_features(x) 2025-09-07T06:54:21.5027740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5028282Z x = self.blocks(x) 2025-09-07T06:54:21.5028815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5029262Z x = self.conv_pw(x) 2025-09-07T06:54:21.5029678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5030209Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5030401Z 2025-09-07T06:54:21.5030545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5030948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5031315Z return mod(*inputs) 2025-09-07T06:54:21.5031755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5032311Z x = self.forward_features(x) 2025-09-07T06:54:21.5032790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5033231Z x = self.blocks(x) 2025-09-07T06:54:21.5033676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5034064Z x = self.bn1(x) 2025-09-07T06:54:21.5034516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5034989Z x = self.act(x) 2025-09-07T06:54:21.5035136Z 2025-09-07T06:54:21.5035318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5035773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5036274Z return mod(*inputs) 2025-09-07T06:54:21.5036634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5037095Z x = self.forward_features(x) 2025-09-07T06:54:21.5037598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5038178Z x = self.blocks(x) 2025-09-07T06:54:21.5038632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5039242Z x = self.conv_dw(x) 2025-09-07T06:54:21.5039361Z 2025-09-07T06:54:21.5039484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5040017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5040466Z return mod(*inputs) 2025-09-07T06:54:21.5041030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5041502Z x = self.forward_features(x) 2025-09-07T06:54:21.5041974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5042437Z x = self.blocks(x) 2025-09-07T06:54:21.5042821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T06:54:21.5043425Z x = self.bn2(x) 2025-09-07T06:54:21.5043802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5044175Z x = self.act(x) 2025-09-07T06:54:21.5044277Z 2025-09-07T06:54:21.5044410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5045041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5047037Z return mod(*inputs) 2025-09-07T06:54:21.5047394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5047768Z x = self.forward_features(x) 2025-09-07T06:54:21.5048301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5048719Z x = self.blocks(x) 2025-09-07T06:54:21.5049086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5049502Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5049864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5050283Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5050716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5051154Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5051330Z 2025-09-07T06:54:21.5051456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5051923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5052287Z return mod(*inputs) 2025-09-07T06:54:21.5052642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5053029Z x = self.forward_features(x) 2025-09-07T06:54:21.5053420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5053835Z x = self.blocks(x) 2025-09-07T06:54:21.5054203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5054608Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5054988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5055390Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5055810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5056232Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5056408Z 2025-09-07T06:54:21.5056518Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5056858Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5057129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5057521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5057880Z return mod(*inputs) 2025-09-07T06:54:21.5058231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5058608Z x = self.forward_features(x) 2025-09-07T06:54:21.5059004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5059400Z x = self.blocks(x) 2025-09-07T06:54:21.5059768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5060151Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5060502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5060870Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5060997Z 2025-09-07T06:54:21.5061120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5061514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5061860Z return mod(*inputs) 2025-09-07T06:54:21.5062207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5062642Z x = self.forward_features(x) 2025-09-07T06:54:21.5063041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5063440Z x = self.blocks(x) 2025-09-07T06:54:21.5063813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5064225Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5064367Z 2025-09-07T06:54:21.5064489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5064886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5065243Z return mod(*inputs) 2025-09-07T06:54:21.5065598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5065988Z x = self.forward_features(x) 2025-09-07T06:54:21.5066391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5066791Z x = self.blocks(x) 2025-09-07T06:54:21.5067199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5067592Z x = self.conv_pw(x) 2025-09-07T06:54:21.5067704Z 2025-09-07T06:54:21.5067828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5068251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5068662Z return mod(*inputs) 2025-09-07T06:54:21.5069057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5069557Z x = self.forward_features(x) 2025-09-07T06:54:21.5070039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5070449Z x = self.blocks(x) 2025-09-07T06:54:21.5070974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5071457Z x = self.bn1(x) 2025-09-07T06:54:21.5071886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5072359Z x = F.batch_norm( 2025-09-07T06:54:21.5072469Z 2025-09-07T06:54:21.5072602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5073171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5073582Z return mod(*inputs) 2025-09-07T06:54:21.5074025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5074404Z x = self.forward_features(x) 2025-09-07T06:54:21.5074999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5075401Z x = self.blocks(x) 2025-09-07T06:54:21.5075773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5076336Z x = self.bn1(x) 2025-09-07T06:54:21.5076785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5077214Z x = self.act(x) 2025-09-07T06:54:21.5077323Z 2025-09-07T06:54:21.5077430Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5077757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5078159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5078517Z return mod(*inputs) 2025-09-07T06:54:21.5078864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5079467Z x = self.forward_features(x) 2025-09-07T06:54:21.5079927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5080325Z x = self.blocks(x) 2025-09-07T06:54:21.5080703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5081099Z x = self.conv_dw(x) 2025-09-07T06:54:21.5081442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5081860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5082287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5082710Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5082885Z 2025-09-07T06:54:21.5082983Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5083280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5083720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5084180Z return mod(*inputs) 2025-09-07T06:54:21.5084728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5085169Z x = self.forward_features(x) 2025-09-07T06:54:21.5085717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5086313Z x = self.blocks(x) 2025-09-07T06:54:21.5086840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5087298Z x = self.conv_dw(x) 2025-09-07T06:54:21.5087648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5088325Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5088988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5089615Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5089797Z 2025-09-07T06:54:21.5089896Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5090157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5090536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5090888Z return mod(*inputs) 2025-09-07T06:54:21.5091229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5091608Z x = self.forward_features(x) 2025-09-07T06:54:21.5092076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5092636Z x = self.blocks(x) 2025-09-07T06:54:21.5093006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5093407Z x = self.conv_dw(x) 2025-09-07T06:54:21.5093755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5094166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5094576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5094981Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5095151Z 2025-09-07T06:54:21.5095247Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5095501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5095884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5096285Z return mod(*inputs) 2025-09-07T06:54:21.5096625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5096991Z x = self.forward_features(x) 2025-09-07T06:54:21.5097371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5097757Z x = self.blocks(x) 2025-09-07T06:54:21.5098113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5098488Z x = self.conv_dw(x) 2025-09-07T06:54:21.5098813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5099208Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5099614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5100024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5100198Z 2025-09-07T06:54:21.5100293Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5100525Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5100760Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5101025Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5101293Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5101684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5102045Z return mod(*inputs) 2025-09-07T06:54:21.5102400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5102782Z x = self.forward_features(x) 2025-09-07T06:54:21.5103181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5103570Z x = self.blocks(x) 2025-09-07T06:54:21.5103940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5104332Z x = self.conv_dw(x) 2025-09-07T06:54:21.5104678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5105041Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5105176Z 2025-09-07T06:54:21.5105290Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5105687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5106046Z return mod(*inputs) 2025-09-07T06:54:21.5106395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5106767Z x = self.forward_features(x) 2025-09-07T06:54:21.5107163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5107553Z x = self.blocks(x) 2025-09-07T06:54:21.5107909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T06:54:21.5108278Z x = self.bn2(x) 2025-09-07T06:54:21.5108604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5108953Z x = F.batch_norm( 2025-09-07T06:54:21.5109057Z 2025-09-07T06:54:21.5109175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5109559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5109901Z return mod(*inputs) 2025-09-07T06:54:21.5110243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5110613Z x = self.forward_features(x) 2025-09-07T06:54:21.5110995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5111422Z x = self.blocks(x) 2025-09-07T06:54:21.5111792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T06:54:21.5112182Z x = self.bn2(x) 2025-09-07T06:54:21.5112521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5112865Z x = self.act(x) 2025-09-07T06:54:21.5112968Z 2025-09-07T06:54:21.5113080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5113463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5113834Z return mod(*inputs) 2025-09-07T06:54:21.5114181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5114555Z x = self.forward_features(x) 2025-09-07T06:54:21.5114954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5115349Z x = self.blocks(x) 2025-09-07T06:54:21.5115715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5116142Z x = self.se(x) 2025-09-07T06:54:21.5116499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5116900Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5117043Z 2025-09-07T06:54:21.5117165Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5117565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5117937Z return mod(*inputs) 2025-09-07T06:54:21.5118291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5118682Z x = self.forward_features(x) 2025-09-07T06:54:21.5119085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5119485Z x = self.blocks(x) 2025-09-07T06:54:21.5119850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5120240Z x = self.se(x) 2025-09-07T06:54:21.5120603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5121000Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5121123Z 2025-09-07T06:54:21.5121238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5121652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5122016Z return mod(*inputs) 2025-09-07T06:54:21.5122365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5122752Z x = self.forward_features(x) 2025-09-07T06:54:21.5123141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5123541Z x = self.blocks(x) 2025-09-07T06:54:21.5123912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5124299Z x = self.se(x) 2025-09-07T06:54:21.5124647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5125047Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5125193Z 2025-09-07T06:54:21.5125309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5125710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5126072Z return mod(*inputs) 2025-09-07T06:54:21.5126459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5126839Z x = self.forward_features(x) 2025-09-07T06:54:21.5127230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5127628Z x = self.blocks(x) 2025-09-07T06:54:21.5128085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5128486Z x = self.se(x) 2025-09-07T06:54:21.5128840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5129239Z return x * self.gate(x_se) 2025-09-07T06:54:21.5129372Z 2025-09-07T06:54:21.5129496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5129885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5130249Z return mod(*inputs) 2025-09-07T06:54:21.5130602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5130983Z x = self.forward_features(x) 2025-09-07T06:54:21.5131413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5131811Z x = self.blocks(x) 2025-09-07T06:54:21.5132175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5132567Z x = self.se(x) 2025-09-07T06:54:21.5132921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5133306Z return x * self.gate(x_se) 2025-09-07T06:54:21.5133443Z 2025-09-07T06:54:21.5133558Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5133955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5134320Z return mod(*inputs) 2025-09-07T06:54:21.5134664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5135051Z x = self.forward_features(x) 2025-09-07T06:54:21.5135450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5135850Z x = self.blocks(x) 2025-09-07T06:54:21.5136215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5136600Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5136731Z 2025-09-07T06:54:21.5136845Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5137241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5137596Z return mod(*inputs) 2025-09-07T06:54:21.5137947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5138319Z x = self.forward_features(x) 2025-09-07T06:54:21.5138702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5139088Z x = self.blocks(x) 2025-09-07T06:54:21.5139448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T06:54:21.5139818Z x = self.bn3(x) 2025-09-07T06:54:21.5140142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5140491Z x = F.batch_norm( 2025-09-07T06:54:21.5140597Z 2025-09-07T06:54:21.5140717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5141104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5141531Z return mod(*inputs) 2025-09-07T06:54:21.5141880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5142268Z x = self.forward_features(x) 2025-09-07T06:54:21.5142667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5143055Z x = self.blocks(x) 2025-09-07T06:54:21.5143418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5143815Z x = self.conv_pw(x) 2025-09-07T06:54:21.5144160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5144572Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5144994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5145420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5145594Z 2025-09-07T06:54:21.5145935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5146368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5146820Z return mod(*inputs) 2025-09-07T06:54:21.5147176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5147566Z x = self.forward_features(x) 2025-09-07T06:54:21.5147975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5148371Z x = self.blocks(x) 2025-09-07T06:54:21.5148748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5149147Z x = self.conv_pw(x) 2025-09-07T06:54:21.5149497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5149895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5150298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5150706Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5150882Z 2025-09-07T06:54:21.5150972Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5151208Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5151466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5151862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5152221Z return mod(*inputs) 2025-09-07T06:54:21.5152580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5152965Z x = self.forward_features(x) 2025-09-07T06:54:21.5153351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5153751Z x = self.blocks(x) 2025-09-07T06:54:21.5154122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5154514Z x = self.conv_pw(x) 2025-09-07T06:54:21.5154851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5155221Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5155351Z 2025-09-07T06:54:21.5155470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5155866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5156220Z return mod(*inputs) 2025-09-07T06:54:21.5156562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5157009Z x = self.forward_features(x) 2025-09-07T06:54:21.5157402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5157797Z x = self.blocks(x) 2025-09-07T06:54:21.5158155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5158539Z x = self.bn1(x) 2025-09-07T06:54:21.5158872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5159232Z x = F.batch_norm( 2025-09-07T06:54:21.5159340Z 2025-09-07T06:54:21.5159462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5159848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5160204Z return mod(*inputs) 2025-09-07T06:54:21.5160557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5160932Z x = self.forward_features(x) 2025-09-07T06:54:21.5161307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5161734Z x = self.blocks(x) 2025-09-07T06:54:21.5162098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5162493Z x = self.bn1(x) 2025-09-07T06:54:21.5162822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5163168Z x = self.act(x) 2025-09-07T06:54:21.5163279Z 2025-09-07T06:54:21.5163367Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5163631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5164029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5164394Z return mod(*inputs) 2025-09-07T06:54:21.5164744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5165134Z x = self.forward_features(x) 2025-09-07T06:54:21.5165540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5165937Z x = self.blocks(x) 2025-09-07T06:54:21.5166302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5166697Z x = self.conv_dw(x) 2025-09-07T06:54:21.5167039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5167450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5167864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5168437Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5168626Z 2025-09-07T06:54:21.5168716Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5168989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5169401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5169757Z return mod(*inputs) 2025-09-07T06:54:21.5170115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5170521Z x = self.forward_features(x) 2025-09-07T06:54:21.5170926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5171310Z x = self.blocks(x) 2025-09-07T06:54:21.5171670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5172097Z x = self.conv_dw(x) 2025-09-07T06:54:21.5172430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5172826Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5173230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5173639Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5173815Z 2025-09-07T06:54:21.5173903Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5174138Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5174387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5174771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5175123Z return mod(*inputs) 2025-09-07T06:54:21.5175464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5175839Z x = self.forward_features(x) 2025-09-07T06:54:21.5176212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5176598Z x = self.blocks(x) 2025-09-07T06:54:21.5177002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5177384Z x = self.conv_dw(x) 2025-09-07T06:54:21.5177713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5178077Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5178206Z 2025-09-07T06:54:21.5178291Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5178549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5178934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5179276Z return mod(*inputs) 2025-09-07T06:54:21.5179620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5179990Z x = self.forward_features(x) 2025-09-07T06:54:21.5180375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5180754Z x = self.blocks(x) 2025-09-07T06:54:21.5181113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5181525Z x = self.se(x) 2025-09-07T06:54:21.5181872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5182264Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5182406Z 2025-09-07T06:54:21.5182518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5182903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5183255Z return mod(*inputs) 2025-09-07T06:54:21.5183596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5183965Z x = self.forward_features(x) 2025-09-07T06:54:21.5184351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5184740Z x = self.blocks(x) 2025-09-07T06:54:21.5185098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5185472Z x = self.se(x) 2025-09-07T06:54:21.5185811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5186198Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5186342Z 2025-09-07T06:54:21.5186453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5186882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5187220Z return mod(*inputs) 2025-09-07T06:54:21.5187559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5187929Z x = self.forward_features(x) 2025-09-07T06:54:21.5188308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5188703Z x = self.blocks(x) 2025-09-07T06:54:21.5189050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5189420Z x = self.se(x) 2025-09-07T06:54:21.5189764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5190140Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5190262Z 2025-09-07T06:54:21.5190372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5190759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5191103Z return mod(*inputs) 2025-09-07T06:54:21.5191494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5191867Z x = self.forward_features(x) 2025-09-07T06:54:21.5192245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5192631Z x = self.blocks(x) 2025-09-07T06:54:21.5192983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5193353Z x = self.se(x) 2025-09-07T06:54:21.5193687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5194076Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5194216Z 2025-09-07T06:54:21.5194327Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5194709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5195055Z return mod(*inputs) 2025-09-07T06:54:21.5195392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5195761Z x = self.forward_features(x) 2025-09-07T06:54:21.5196140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5196521Z x = self.blocks(x) 2025-09-07T06:54:21.5218648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5219334Z x = self.se(x) 2025-09-07T06:54:21.5219744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5220186Z return x * self.gate(x_se) 2025-09-07T06:54:21.5220326Z 2025-09-07T06:54:21.5220465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5220892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5221271Z return mod(*inputs) 2025-09-07T06:54:21.5221650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5222049Z x = self.forward_features(x) 2025-09-07T06:54:21.5222468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5222863Z x = self.blocks(x) 2025-09-07T06:54:21.5223241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5223632Z x = self.se(x) 2025-09-07T06:54:21.5224161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5224552Z return x * self.gate(x_se) 2025-09-07T06:54:21.5224701Z 2025-09-07T06:54:21.5224800Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5225091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5225501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5225869Z return mod(*inputs) 2025-09-07T06:54:21.5226229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5226622Z x = self.forward_features(x) 2025-09-07T06:54:21.5227036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5227436Z x = self.blocks(x) 2025-09-07T06:54:21.5227796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5228196Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5228553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5229027Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5229465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5229886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5230072Z 2025-09-07T06:54:21.5230166Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5230447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5230855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5231210Z return mod(*inputs) 2025-09-07T06:54:21.5231571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5231963Z x = self.forward_features(x) 2025-09-07T06:54:21.5232365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5232772Z x = self.blocks(x) 2025-09-07T06:54:21.5233138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5233534Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5233890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5234308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5234721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5235146Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5235331Z 2025-09-07T06:54:21.5235423Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5235670Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5235937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5236333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5236699Z return mod(*inputs) 2025-09-07T06:54:21.5237057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5237442Z x = self.forward_features(x) 2025-09-07T06:54:21.5237834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5238238Z x = self.blocks(x) 2025-09-07T06:54:21.5238609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5239005Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5239404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5239771Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5239909Z 2025-09-07T06:54:21.5240029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5240434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5240799Z return mod(*inputs) 2025-09-07T06:54:21.5241146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5241530Z x = self.forward_features(x) 2025-09-07T06:54:21.5241927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5242330Z x = self.blocks(x) 2025-09-07T06:54:21.5242698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5243107Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5243261Z 2025-09-07T06:54:21.5243379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5243774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5244176Z return mod(*inputs) 2025-09-07T06:54:21.5244534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5244920Z x = self.forward_features(x) 2025-09-07T06:54:21.5245318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5245906Z x = self.blocks(x) 2025-09-07T06:54:21.5246375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5246774Z x = self.conv_pw(x) 2025-09-07T06:54:21.5247128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5247553Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5248031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5248468Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5248644Z 2025-09-07T06:54:21.5248762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5249156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5249517Z return mod(*inputs) 2025-09-07T06:54:21.5249875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5250253Z x = self.forward_features(x) 2025-09-07T06:54:21.5250650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5251054Z x = self.blocks(x) 2025-09-07T06:54:21.5251419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5251808Z x = self.conv_pw(x) 2025-09-07T06:54:21.5252149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5252566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5252986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5253399Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5253572Z 2025-09-07T06:54:21.5253664Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5253906Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5254174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5254572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5255043Z return mod(*inputs) 2025-09-07T06:54:21.5255388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5255772Z x = self.forward_features(x) 2025-09-07T06:54:21.5256171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5256575Z x = self.blocks(x) 2025-09-07T06:54:21.5256940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5257336Z x = self.conv_pw(x) 2025-09-07T06:54:21.5257685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5258073Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5258200Z 2025-09-07T06:54:21.5258325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5258705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5259060Z return mod(*inputs) 2025-09-07T06:54:21.5259403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5259829Z x = self.forward_features(x) 2025-09-07T06:54:21.5260208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5260594Z x = self.blocks(x) 2025-09-07T06:54:21.5260953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5261330Z x = self.bn1(x) 2025-09-07T06:54:21.5261653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5261995Z x = F.batch_norm( 2025-09-07T06:54:21.5262109Z 2025-09-07T06:54:21.5262223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5262608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5262957Z return mod(*inputs) 2025-09-07T06:54:21.5263292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5263666Z x = self.forward_features(x) 2025-09-07T06:54:21.5264049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5264435Z x = self.blocks(x) 2025-09-07T06:54:21.5264787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5265155Z x = self.bn1(x) 2025-09-07T06:54:21.5265476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5265824Z x = self.act(x) 2025-09-07T06:54:21.5265930Z 2025-09-07T06:54:21.5266025Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5266279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5266664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5267013Z return mod(*inputs) 2025-09-07T06:54:21.5267355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5267725Z x = self.forward_features(x) 2025-09-07T06:54:21.5268109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5268497Z x = self.blocks(x) 2025-09-07T06:54:21.5268853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5269221Z x = self.conv_dw(x) 2025-09-07T06:54:21.5269555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5270031Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5270448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5270857Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5271028Z 2025-09-07T06:54:21.5271116Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5271378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5271762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5272116Z return mod(*inputs) 2025-09-07T06:54:21.5272457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5272833Z x = self.forward_features(x) 2025-09-07T06:54:21.5273221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5273614Z x = self.blocks(x) 2025-09-07T06:54:21.5273967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5274340Z x = self.conv_dw(x) 2025-09-07T06:54:21.5274765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5275163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5275570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5275972Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5276141Z 2025-09-07T06:54:21.5276231Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5276468Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5276728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5277113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5277462Z return mod(*inputs) 2025-09-07T06:54:21.5277830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5278221Z x = self.forward_features(x) 2025-09-07T06:54:21.5278627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5279037Z x = self.blocks(x) 2025-09-07T06:54:21.5279403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5279780Z x = self.conv_dw(x) 2025-09-07T06:54:21.5280142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5280520Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5280650Z 2025-09-07T06:54:21.5280739Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5281010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5281424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5281785Z return mod(*inputs) 2025-09-07T06:54:21.5282141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5282529Z x = self.forward_features(x) 2025-09-07T06:54:21.5282939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5283346Z x = self.blocks(x) 2025-09-07T06:54:21.5283710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5284099Z x = self.se(x) 2025-09-07T06:54:21.5284460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5284903Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5285051Z 2025-09-07T06:54:21.5285179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5285571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5285945Z return mod(*inputs) 2025-09-07T06:54:21.5286298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5286689Z x = self.forward_features(x) 2025-09-07T06:54:21.5287091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5287487Z x = self.blocks(x) 2025-09-07T06:54:21.5287858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5288345Z x = self.se(x) 2025-09-07T06:54:21.5288713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5289103Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5289255Z 2025-09-07T06:54:21.5289372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5289852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5290212Z return mod(*inputs) 2025-09-07T06:54:21.5290560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5290934Z x = self.forward_features(x) 2025-09-07T06:54:21.5291330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5291720Z x = self.blocks(x) 2025-09-07T06:54:21.5292085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5292470Z x = self.se(x) 2025-09-07T06:54:21.5292821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5293210Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5293332Z 2025-09-07T06:54:21.5293459Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5293858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5294208Z return mod(*inputs) 2025-09-07T06:54:21.5294564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5294948Z x = self.forward_features(x) 2025-09-07T06:54:21.5295341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5295734Z x = self.blocks(x) 2025-09-07T06:54:21.5296088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5296478Z x = self.se(x) 2025-09-07T06:54:21.5296834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5297232Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5297371Z 2025-09-07T06:54:21.5297486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5297881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5298236Z return mod(*inputs) 2025-09-07T06:54:21.5298587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5298969Z x = self.forward_features(x) 2025-09-07T06:54:21.5299352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5299752Z x = self.blocks(x) 2025-09-07T06:54:21.5300167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5300567Z x = self.se(x) 2025-09-07T06:54:21.5300921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5301324Z return x * self.gate(x_se) 2025-09-07T06:54:21.5301464Z 2025-09-07T06:54:21.5301583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5301983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5302350Z return mod(*inputs) 2025-09-07T06:54:21.5302701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5303088Z x = self.forward_features(x) 2025-09-07T06:54:21.5303492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5303901Z x = self.blocks(x) 2025-09-07T06:54:21.5304265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5304657Z x = self.se(x) 2025-09-07T06:54:21.5305054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5305448Z return x * self.gate(x_se) 2025-09-07T06:54:21.5305576Z 2025-09-07T06:54:21.5305676Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5305939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5306332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5306689Z return mod(*inputs) 2025-09-07T06:54:21.5307042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5307416Z x = self.forward_features(x) 2025-09-07T06:54:21.5307813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5308210Z x = self.blocks(x) 2025-09-07T06:54:21.5308573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5308962Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5309311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5309730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5310164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5310574Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5310745Z 2025-09-07T06:54:21.5310833Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5311097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5311492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5311855Z return mod(*inputs) 2025-09-07T06:54:21.5312208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5312586Z x = self.forward_features(x) 2025-09-07T06:54:21.5312983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5313381Z x = self.blocks(x) 2025-09-07T06:54:21.5313747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5314131Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5314487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5314900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5315364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5315785Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5315958Z 2025-09-07T06:54:21.5316049Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5316293Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5316556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5316954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5317308Z return mod(*inputs) 2025-09-07T06:54:21.5317664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5318044Z x = self.forward_features(x) 2025-09-07T06:54:21.5318445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5318847Z x = self.blocks(x) 2025-09-07T06:54:21.5319207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5319604Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5319996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5320369Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5320498Z 2025-09-07T06:54:21.5320617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5321014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5321372Z return mod(*inputs) 2025-09-07T06:54:21.5321722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5322099Z x = self.forward_features(x) 2025-09-07T06:54:21.5322484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5322883Z x = self.blocks(x) 2025-09-07T06:54:21.5323245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5323645Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5323786Z 2025-09-07T06:54:21.5323901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5324298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5324654Z return mod(*inputs) 2025-09-07T06:54:21.5325004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5325383Z x = self.forward_features(x) 2025-09-07T06:54:21.5325765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5326165Z x = self.blocks(x) 2025-09-07T06:54:21.5326527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5326945Z x = self.conv_pw(x) 2025-09-07T06:54:21.5327309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5327719Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5328243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5328672Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5328850Z 2025-09-07T06:54:21.5328977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5329364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5329726Z return mod(*inputs) 2025-09-07T06:54:21.5330080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5330541Z x = self.forward_features(x) 2025-09-07T06:54:21.5330934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5331347Z x = self.blocks(x) 2025-09-07T06:54:21.5331719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5332144Z x = self.conv_pw(x) 2025-09-07T06:54:21.5332511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5332932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5333357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5333796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5333978Z 2025-09-07T06:54:21.5334081Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5334329Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5334593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5335031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5335422Z return mod(*inputs) 2025-09-07T06:54:21.5335795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5336173Z x = self.forward_features(x) 2025-09-07T06:54:21.5336569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5336972Z x = self.blocks(x) 2025-09-07T06:54:21.5337352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5337740Z x = self.conv_pw(x) 2025-09-07T06:54:21.5338078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5338451Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5338583Z 2025-09-07T06:54:21.5338698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5339095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5339442Z return mod(*inputs) 2025-09-07T06:54:21.5339789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5340167Z x = self.forward_features(x) 2025-09-07T06:54:21.5340558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5340952Z x = self.blocks(x) 2025-09-07T06:54:21.5341307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5341693Z x = self.bn1(x) 2025-09-07T06:54:21.5341925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5341997Z x = F.batch_norm( 2025-09-07T06:54:21.5342000Z 2025-09-07T06:54:21.5342118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5342344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5342417Z return mod(*inputs) 2025-09-07T06:54:21.5342656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5342737Z x = self.forward_features(x) 2025-09-07T06:54:21.5342994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5343073Z x = self.blocks(x) 2025-09-07T06:54:21.5343320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5343450Z x = self.bn1(x) 2025-09-07T06:54:21.5343675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5343744Z x = self.act(x) 2025-09-07T06:54:21.5343748Z 2025-09-07T06:54:21.5343850Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5343966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5344193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5344266Z return mod(*inputs) 2025-09-07T06:54:21.5344500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5344587Z x = self.forward_features(x) 2025-09-07T06:54:21.5344848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5344932Z x = self.blocks(x) 2025-09-07T06:54:21.5345185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5345266Z x = self.conv_dw(x) 2025-09-07T06:54:21.5345530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5345650Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5346244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5346376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5346380Z 2025-09-07T06:54:21.5346479Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5346595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5346811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5346900Z return mod(*inputs) 2025-09-07T06:54:21.5347133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5347225Z x = self.forward_features(x) 2025-09-07T06:54:21.5347500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5347573Z x = self.blocks(x) 2025-09-07T06:54:21.5347830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5347903Z x = self.conv_dw(x) 2025-09-07T06:54:21.5348156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5348273Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5348532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5348650Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5348653Z 2025-09-07T06:54:21.5348743Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5348842Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5348957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5349184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5349259Z return mod(*inputs) 2025-09-07T06:54:21.5349509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5349595Z x = self.forward_features(x) 2025-09-07T06:54:21.5349864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5349944Z x = self.blocks(x) 2025-09-07T06:54:21.5350211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5350389Z x = self.conv_dw(x) 2025-09-07T06:54:21.5350654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5350731Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5350735Z 2025-09-07T06:54:21.5350834Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5350949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5351187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5351270Z return mod(*inputs) 2025-09-07T06:54:21.5351518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5351605Z x = self.forward_features(x) 2025-09-07T06:54:21.5351876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5351952Z x = self.blocks(x) 2025-09-07T06:54:21.5352232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5352303Z x = self.se(x) 2025-09-07T06:54:21.5352633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5352723Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5352727Z 2025-09-07T06:54:21.5352849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5353087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5353160Z return mod(*inputs) 2025-09-07T06:54:21.5353410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5353489Z x = self.forward_features(x) 2025-09-07T06:54:21.5353753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5353827Z x = self.blocks(x) 2025-09-07T06:54:21.5354105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5354173Z x = self.se(x) 2025-09-07T06:54:21.5354435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5354526Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5354530Z 2025-09-07T06:54:21.5354643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5354884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5354957Z return mod(*inputs) 2025-09-07T06:54:21.5355212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5355301Z x = self.forward_features(x) 2025-09-07T06:54:21.5355566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5355646Z x = self.blocks(x) 2025-09-07T06:54:21.5355913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5355983Z x = self.se(x) 2025-09-07T06:54:21.5356237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5356315Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5356318Z 2025-09-07T06:54:21.5356438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5356663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5356744Z return mod(*inputs) 2025-09-07T06:54:21.5357025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5357145Z x = self.forward_features(x) 2025-09-07T06:54:21.5357413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5357485Z x = self.blocks(x) 2025-09-07T06:54:21.5357756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5357825Z x = self.se(x) 2025-09-07T06:54:21.5358070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5358160Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5358164Z 2025-09-07T06:54:21.5358277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5358505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5358577Z return mod(*inputs) 2025-09-07T06:54:21.5358812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5358901Z x = self.forward_features(x) 2025-09-07T06:54:21.5359160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5359239Z x = self.blocks(x) 2025-09-07T06:54:21.5359520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5359596Z x = self.se(x) 2025-09-07T06:54:21.5359849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5359928Z return x * self.gate(x_se) 2025-09-07T06:54:21.5359932Z 2025-09-07T06:54:21.5360050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5360266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5360346Z return mod(*inputs) 2025-09-07T06:54:21.5360585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5360661Z x = self.forward_features(x) 2025-09-07T06:54:21.5360926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5360999Z x = self.blocks(x) 2025-09-07T06:54:21.5361255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5361323Z x = self.se(x) 2025-09-07T06:54:21.5361570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5361655Z return x * self.gate(x_se) 2025-09-07T06:54:21.5361659Z 2025-09-07T06:54:21.5361747Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5361867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5362088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5362164Z return mod(*inputs) 2025-09-07T06:54:21.5362403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5362481Z x = self.forward_features(x) 2025-09-07T06:54:21.5362749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5362821Z x = self.blocks(x) 2025-09-07T06:54:21.5363078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5363153Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5363383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5363510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5363749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5363918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5363922Z 2025-09-07T06:54:21.5364010Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5364127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5364352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5364424Z return mod(*inputs) 2025-09-07T06:54:21.5364663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5364742Z x = self.forward_features(x) 2025-09-07T06:54:21.5364998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5365079Z x = self.blocks(x) 2025-09-07T06:54:21.5365325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5365411Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5365636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5365751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5366026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5366142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5366145Z 2025-09-07T06:54:21.5366243Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5366331Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5366451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5366667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5366740Z return mod(*inputs) 2025-09-07T06:54:21.5366979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5367058Z x = self.forward_features(x) 2025-09-07T06:54:21.5367320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5367394Z x = self.blocks(x) 2025-09-07T06:54:21.5367642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5367724Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5368012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5368107Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5368111Z 2025-09-07T06:54:21.5368223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5368442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5368527Z return mod(*inputs) 2025-09-07T06:54:21.5368757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5368843Z x = self.forward_features(x) 2025-09-07T06:54:21.5369103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5369175Z x = self.blocks(x) 2025-09-07T06:54:21.5369431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5369515Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5369519Z 2025-09-07T06:54:21.5369641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5369857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5369937Z return mod(*inputs) 2025-09-07T06:54:21.5370167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5370292Z x = self.forward_features(x) 2025-09-07T06:54:21.5370559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5370632Z x = self.blocks(x) 2025-09-07T06:54:21.5370890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5370962Z x = self.conv_pw(x) 2025-09-07T06:54:21.5370966Z 2025-09-07T06:54:21.5371077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5371300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5371371Z return mod(*inputs) 2025-09-07T06:54:21.5371611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5371688Z x = self.forward_features(x) 2025-09-07T06:54:21.5371947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5372027Z x = self.blocks(x) 2025-09-07T06:54:21.5372274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5372383Z x = self.bn1(x) 2025-09-07T06:54:21.5372609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5372688Z x = F.batch_norm( 2025-09-07T06:54:21.5372691Z 2025-09-07T06:54:21.5372802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5373015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5373097Z return mod(*inputs) 2025-09-07T06:54:21.5373330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5373422Z x = self.forward_features(x) 2025-09-07T06:54:21.5373682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5373756Z x = self.blocks(x) 2025-09-07T06:54:21.5374015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5374087Z x = self.bn1(x) 2025-09-07T06:54:21.5374319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5374392Z x = self.act(x) 2025-09-07T06:54:21.5374396Z 2025-09-07T06:54:21.5374487Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5374611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5374829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5374912Z return mod(*inputs) 2025-09-07T06:54:21.5375146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5375233Z x = self.forward_features(x) 2025-09-07T06:54:21.5375504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5375581Z x = self.blocks(x) 2025-09-07T06:54:21.5375837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5375912Z x = self.conv_dw(x) 2025-09-07T06:54:21.5376141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5376270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5376511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5376637Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5376677Z 2025-09-07T06:54:21.5376767Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5376887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5377102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5377177Z return mod(*inputs) 2025-09-07T06:54:21.5377417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5377496Z x = self.forward_features(x) 2025-09-07T06:54:21.5377759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5377832Z x = self.blocks(x) 2025-09-07T06:54:21.5378081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5378162Z x = self.conv_dw(x) 2025-09-07T06:54:21.5378390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5378515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5378753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5378903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5378915Z 2025-09-07T06:54:21.5379007Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5379120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5379344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5379418Z return mod(*inputs) 2025-09-07T06:54:21.5379660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5379740Z x = self.forward_features(x) 2025-09-07T06:54:21.5379996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5380080Z x = self.blocks(x) 2025-09-07T06:54:21.5380328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5380408Z x = self.conv_dw(x) 2025-09-07T06:54:21.5380634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5380748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5380992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5381107Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5381110Z 2025-09-07T06:54:21.5381209Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5381296Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5381382Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5381508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5381725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5381806Z return mod(*inputs) 2025-09-07T06:54:21.5382039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5382117Z x = self.forward_features(x) 2025-09-07T06:54:21.5382382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5382453Z x = self.blocks(x) 2025-09-07T06:54:21.5382708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5382778Z x = self.conv_dw(x) 2025-09-07T06:54:21.5383014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5383137Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5383141Z 2025-09-07T06:54:21.5383229Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5383350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5383575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5383655Z return mod(*inputs) 2025-09-07T06:54:21.5383892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5383972Z x = self.forward_features(x) 2025-09-07T06:54:21.5384245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5384314Z x = self.blocks(x) 2025-09-07T06:54:21.5384573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5384641Z x = self.se(x) 2025-09-07T06:54:21.5384897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5384991Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5384995Z 2025-09-07T06:54:21.5385109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5385391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5385465Z return mod(*inputs) 2025-09-07T06:54:21.5385695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5385782Z x = self.forward_features(x) 2025-09-07T06:54:21.5386037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5386116Z x = self.blocks(x) 2025-09-07T06:54:21.5386365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5386443Z x = self.se(x) 2025-09-07T06:54:21.5386691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5386772Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5386775Z 2025-09-07T06:54:21.5386898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5387115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5387194Z return mod(*inputs) 2025-09-07T06:54:21.5387435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5387511Z x = self.forward_features(x) 2025-09-07T06:54:21.5387765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5387834Z x = self.blocks(x) 2025-09-07T06:54:21.5388080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5388150Z x = self.se(x) 2025-09-07T06:54:21.5388392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5388477Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5388483Z 2025-09-07T06:54:21.5388596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5388824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5388893Z return mod(*inputs) 2025-09-07T06:54:21.5389113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5389195Z x = self.forward_features(x) 2025-09-07T06:54:21.5389444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5389520Z x = self.blocks(x) 2025-09-07T06:54:21.5389792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5389864Z x = self.se(x) 2025-09-07T06:54:21.5390105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5390183Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5390186Z 2025-09-07T06:54:21.5390305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5390515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5390592Z return mod(*inputs) 2025-09-07T06:54:21.5390813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5390888Z x = self.forward_features(x) 2025-09-07T06:54:21.5391145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5391218Z x = self.blocks(x) 2025-09-07T06:54:21.5391469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5391537Z x = self.se(x) 2025-09-07T06:54:21.5391815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5391905Z return x * self.gate(x_se) 2025-09-07T06:54:21.5391909Z 2025-09-07T06:54:21.5392021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5392247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5392320Z return mod(*inputs) 2025-09-07T06:54:21.5392557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5392636Z x = self.forward_features(x) 2025-09-07T06:54:21.5392891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5392974Z x = self.blocks(x) 2025-09-07T06:54:21.5393229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5393304Z x = self.se(x) 2025-09-07T06:54:21.5393541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5393616Z return x * self.gate(x_se) 2025-09-07T06:54:21.5393620Z 2025-09-07T06:54:21.5393737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5393969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5394048Z return mod(*inputs) 2025-09-07T06:54:21.5394271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5394347Z x = self.forward_features(x) 2025-09-07T06:54:21.5394605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5394675Z x = self.blocks(x) 2025-09-07T06:54:21.5394925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5394999Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5395002Z 2025-09-07T06:54:21.5395110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5395325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5395394Z return mod(*inputs) 2025-09-07T06:54:21.5395626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5395702Z x = self.forward_features(x) 2025-09-07T06:54:21.5395957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5396073Z x = self.blocks(x) 2025-09-07T06:54:21.5396320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T06:54:21.5396398Z x = self.bn3(x) 2025-09-07T06:54:21.5396622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5396699Z x = F.batch_norm( 2025-09-07T06:54:21.5396702Z 2025-09-07T06:54:21.5396813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5397029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5397109Z return mod(*inputs) 2025-09-07T06:54:21.5397343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5397440Z x = self.forward_features(x) 2025-09-07T06:54:21.5397691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5397762Z x = self.blocks(x) 2025-09-07T06:54:21.5398014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5398083Z x = self.conv_pw(x) 2025-09-07T06:54:21.5398344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5398461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5398691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5398814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5398817Z 2025-09-07T06:54:21.5398927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5399143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5399217Z return mod(*inputs) 2025-09-07T06:54:21.5399449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5399526Z x = self.forward_features(x) 2025-09-07T06:54:21.5399776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5399855Z x = self.blocks(x) 2025-09-07T06:54:21.5400104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5400182Z x = self.conv_pw(x) 2025-09-07T06:54:21.5400408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5400533Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5400770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5400884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5400887Z 2025-09-07T06:54:21.5400983Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5401071Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5401183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5401400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5401470Z return mod(*inputs) 2025-09-07T06:54:21.5401700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5401777Z x = self.forward_features(x) 2025-09-07T06:54:21.5402030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5402099Z x = self.blocks(x) 2025-09-07T06:54:21.5402338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5402455Z x = self.conv_pw(x) 2025-09-07T06:54:21.5402671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5402751Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5402757Z 2025-09-07T06:54:21.5402865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5403081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5403162Z return mod(*inputs) 2025-09-07T06:54:21.5403389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5403475Z x = self.forward_features(x) 2025-09-07T06:54:21.5403732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5403803Z x = self.blocks(x) 2025-09-07T06:54:21.5404062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5404131Z x = self.bn1(x) 2025-09-07T06:54:21.5404357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5404474Z x = F.batch_norm( 2025-09-07T06:54:21.5404480Z 2025-09-07T06:54:21.5404592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5404815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5404888Z return mod(*inputs) 2025-09-07T06:54:21.5405126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5405205Z x = self.forward_features(x) 2025-09-07T06:54:21.5405479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5405553Z x = self.blocks(x) 2025-09-07T06:54:21.5405799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5405876Z x = self.bn1(x) 2025-09-07T06:54:21.5406098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5406175Z x = self.act(x) 2025-09-07T06:54:21.5406178Z 2025-09-07T06:54:21.5406267Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5406380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5406603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5406675Z return mod(*inputs) 2025-09-07T06:54:21.5406917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5406994Z x = self.forward_features(x) 2025-09-07T06:54:21.5407249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5407331Z x = self.blocks(x) 2025-09-07T06:54:21.5407577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5407658Z x = self.conv_dw(x) 2025-09-07T06:54:21.5407885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5408091Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5408344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5408462Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5408466Z 2025-09-07T06:54:21.5408564Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5408676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5408957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5409029Z return mod(*inputs) 2025-09-07T06:54:21.5409260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5409350Z x = self.forward_features(x) 2025-09-07T06:54:21.5409606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5409684Z x = self.blocks(x) 2025-09-07T06:54:21.5409934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5410007Z x = self.conv_dw(x) 2025-09-07T06:54:21.5410242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5410365Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5410613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5410725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5410728Z 2025-09-07T06:54:21.5410816Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5410984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5411201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5411281Z return mod(*inputs) 2025-09-07T06:54:21.5411511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5411597Z x = self.forward_features(x) 2025-09-07T06:54:21.5411854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5411925Z x = self.blocks(x) 2025-09-07T06:54:21.5412179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5412254Z x = self.conv_dw(x) 2025-09-07T06:54:21.5412485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5412601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5412837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5412957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5412961Z 2025-09-07T06:54:21.5413050Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5413173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5413389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5413460Z return mod(*inputs) 2025-09-07T06:54:21.5413702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5413783Z x = self.forward_features(x) 2025-09-07T06:54:21.5414046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5414121Z x = self.blocks(x) 2025-09-07T06:54:21.5414370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5414448Z x = self.conv_dw(x) 2025-09-07T06:54:21.5414672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5414793Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5415030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5415147Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5415189Z 2025-09-07T06:54:21.5415278Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5415367Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5415463Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5415548Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5415671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5415885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5415958Z return mod(*inputs) 2025-09-07T06:54:21.5416200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5416279Z x = self.forward_features(x) 2025-09-07T06:54:21.5416541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5416612Z x = self.blocks(x) 2025-09-07T06:54:21.5416860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5416943Z x = self.conv_dw(x) 2025-09-07T06:54:21.5417169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5417254Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5417306Z 2025-09-07T06:54:21.5417394Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5417509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5417736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5417807Z return mod(*inputs) 2025-09-07T06:54:21.5418047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5418126Z x = self.forward_features(x) 2025-09-07T06:54:21.5418381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5418463Z x = self.blocks(x) 2025-09-07T06:54:21.5418713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5418789Z x = self.se(x) 2025-09-07T06:54:21.5419038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5419133Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5419137Z 2025-09-07T06:54:21.5419249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5419463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5419542Z return mod(*inputs) 2025-09-07T06:54:21.5419771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5419859Z x = self.forward_features(x) 2025-09-07T06:54:21.5420115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5420190Z x = self.blocks(x) 2025-09-07T06:54:21.5420448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5420516Z x = self.se(x) 2025-09-07T06:54:21.5420784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5420864Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5420867Z 2025-09-07T06:54:21.5420979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5421198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5421268Z return mod(*inputs) 2025-09-07T06:54:21.5421502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5421579Z x = self.forward_features(x) 2025-09-07T06:54:21.5421919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5421991Z x = self.blocks(x) 2025-09-07T06:54:21.5422242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5422319Z x = self.se(x) 2025-09-07T06:54:21.5422563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5422647Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5422651Z 2025-09-07T06:54:21.5422761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5422977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5423057Z return mod(*inputs) 2025-09-07T06:54:21.5423288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5423377Z x = self.forward_features(x) 2025-09-07T06:54:21.5423630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5423701Z x = self.blocks(x) 2025-09-07T06:54:21.5423987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5424057Z x = self.se(x) 2025-09-07T06:54:21.5424310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5424391Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5424394Z 2025-09-07T06:54:21.5424505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5424730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5424802Z return mod(*inputs) 2025-09-07T06:54:21.5425041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5425122Z x = self.forward_features(x) 2025-09-07T06:54:21.5425386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5425458Z x = self.blocks(x) 2025-09-07T06:54:21.5425707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5425782Z x = self.se(x) 2025-09-07T06:54:21.5426028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5426112Z return x * self.gate(x_se) 2025-09-07T06:54:21.5426116Z 2025-09-07T06:54:21.5426228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5426442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5426526Z return mod(*inputs) 2025-09-07T06:54:21.5426756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5426843Z x = self.forward_features(x) 2025-09-07T06:54:21.5427104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5427175Z x = self.blocks(x) 2025-09-07T06:54:21.5427435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5427504Z x = self.se(x) 2025-09-07T06:54:21.5427759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5427839Z return x * self.gate(x_se) 2025-09-07T06:54:21.5427843Z 2025-09-07T06:54:21.5427933Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5428056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5428309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5428392Z return mod(*inputs) 2025-09-07T06:54:21.5428622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5428710Z x = self.forward_features(x) 2025-09-07T06:54:21.5428967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5429037Z x = self.blocks(x) 2025-09-07T06:54:21.5429290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5429365Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5429597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5429712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5429950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5430073Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5430076Z 2025-09-07T06:54:21.5430163Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5430313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5430532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5430605Z return mod(*inputs) 2025-09-07T06:54:21.5430843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5430921Z x = self.forward_features(x) 2025-09-07T06:54:21.5431184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5431255Z x = self.blocks(x) 2025-09-07T06:54:21.5431500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5431584Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5431807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5431930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5432164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5432283Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5432287Z 2025-09-07T06:54:21.5432373Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5432458Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5432576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5432792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5432870Z return mod(*inputs) 2025-09-07T06:54:21.5433103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5433179Z x = self.forward_features(x) 2025-09-07T06:54:21.5433444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5433514Z x = self.blocks(x) 2025-09-07T06:54:21.5433774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5433846Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5434063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5434146Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5434150Z 2025-09-07T06:54:21.5434258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5434473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5434590Z return mod(*inputs) 2025-09-07T06:54:21.5434811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5434895Z x = self.forward_features(x) 2025-09-07T06:54:21.5435146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5435224Z x = self.blocks(x) 2025-09-07T06:54:21.5435464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5435554Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5435558Z 2025-09-07T06:54:21.5435666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5435874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5435952Z return mod(*inputs) 2025-09-07T06:54:21.5436183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5436270Z x = self.forward_features(x) 2025-09-07T06:54:21.5436525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5436632Z x = self.blocks(x) 2025-09-07T06:54:21.5436890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5436962Z x = self.conv_pw(x) 2025-09-07T06:54:21.5437198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5437311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5437545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5437666Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5437673Z 2025-09-07T06:54:21.5437785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5438019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5438090Z return mod(*inputs) 2025-09-07T06:54:21.5438320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5438396Z x = self.forward_features(x) 2025-09-07T06:54:21.5438648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5438727Z x = self.blocks(x) 2025-09-07T06:54:21.5438973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5439054Z x = self.conv_pw(x) 2025-09-07T06:54:21.5439277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5439394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5439635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5439748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5439755Z 2025-09-07T06:54:21.5439851Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5439938Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5440051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5440273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5440345Z return mod(*inputs) 2025-09-07T06:54:21.5440583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5440662Z x = self.forward_features(x) 2025-09-07T06:54:21.5440925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5441033Z x = self.blocks(x) 2025-09-07T06:54:21.5441288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5441372Z x = self.conv_pw(x) 2025-09-07T06:54:21.5441604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5441685Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5441689Z 2025-09-07T06:54:21.5441802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5442021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5442102Z return mod(*inputs) 2025-09-07T06:54:21.5442337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5442423Z x = self.forward_features(x) 2025-09-07T06:54:21.5442689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5442759Z x = self.blocks(x) 2025-09-07T06:54:21.5443050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5443122Z x = self.bn1(x) 2025-09-07T06:54:21.5443349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5443419Z x = F.batch_norm( 2025-09-07T06:54:21.5443423Z 2025-09-07T06:54:21.5443535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5443756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5443829Z return mod(*inputs) 2025-09-07T06:54:21.5444064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5444145Z x = self.forward_features(x) 2025-09-07T06:54:21.5444407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5444479Z x = self.blocks(x) 2025-09-07T06:54:21.5444730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5444806Z x = self.bn1(x) 2025-09-07T06:54:21.5445022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5445099Z x = self.act(x) 2025-09-07T06:54:21.5445103Z 2025-09-07T06:54:21.5445192Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5445303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5445525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5445599Z return mod(*inputs) 2025-09-07T06:54:21.5446186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5446287Z x = self.forward_features(x) 2025-09-07T06:54:21.5446546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5446634Z x = self.blocks(x) 2025-09-07T06:54:21.5446882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5446963Z x = self.conv_dw(x) 2025-09-07T06:54:21.5447192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5447308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5447555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5447669Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5447759Z 2025-09-07T06:54:21.5447856Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5448212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5448448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5448526Z return mod(*inputs) 2025-09-07T06:54:21.5448758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5448845Z x = self.forward_features(x) 2025-09-07T06:54:21.5449104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5449183Z x = self.blocks(x) 2025-09-07T06:54:21.5449431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5449503Z x = self.conv_dw(x) 2025-09-07T06:54:21.5449738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5449855Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5450101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5450274Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5450279Z 2025-09-07T06:54:21.5450370Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5450494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5450711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5450791Z return mod(*inputs) 2025-09-07T06:54:21.5451021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5451102Z x = self.forward_features(x) 2025-09-07T06:54:21.5451367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5451443Z x = self.blocks(x) 2025-09-07T06:54:21.5451699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5451773Z x = self.conv_dw(x) 2025-09-07T06:54:21.5452005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5452119Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5452378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5452500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5452504Z 2025-09-07T06:54:21.5452594Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5452716Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5452935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5453009Z return mod(*inputs) 2025-09-07T06:54:21.5453278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5453359Z x = self.forward_features(x) 2025-09-07T06:54:21.5453624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5453695Z x = self.blocks(x) 2025-09-07T06:54:21.5453997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5454073Z x = self.conv_dw(x) 2025-09-07T06:54:21.5454291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5454409Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5454677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5454792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5454796Z 2025-09-07T06:54:21.5454883Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5454971Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5455061Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5455143Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5455258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5455470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5455540Z return mod(*inputs) 2025-09-07T06:54:21.5455770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5455846Z x = self.forward_features(x) 2025-09-07T06:54:21.5456100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5456172Z x = self.blocks(x) 2025-09-07T06:54:21.5456410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5456520Z x = self.conv_dw(x) 2025-09-07T06:54:21.5456739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5456820Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5456824Z 2025-09-07T06:54:21.5456909Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5457021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5457240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5457311Z return mod(*inputs) 2025-09-07T06:54:21.5457543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5457622Z x = self.forward_features(x) 2025-09-07T06:54:21.5457868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5457947Z x = self.blocks(x) 2025-09-07T06:54:21.5458188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5458261Z x = self.se(x) 2025-09-07T06:54:21.5458496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5458578Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5458589Z 2025-09-07T06:54:21.5458698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5458911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5458987Z return mod(*inputs) 2025-09-07T06:54:21.5459211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5459296Z x = self.forward_features(x) 2025-09-07T06:54:21.5459541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5459611Z x = self.blocks(x) 2025-09-07T06:54:21.5459859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5459926Z x = self.se(x) 2025-09-07T06:54:21.5460177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5460257Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5460261Z 2025-09-07T06:54:21.5460374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5460618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5460735Z return mod(*inputs) 2025-09-07T06:54:21.5460987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5461065Z x = self.forward_features(x) 2025-09-07T06:54:21.5461332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5461411Z x = self.blocks(x) 2025-09-07T06:54:21.5461722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5461797Z x = self.se(x) 2025-09-07T06:54:21.5462039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5462122Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5462126Z 2025-09-07T06:54:21.5462237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5462473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5462557Z return mod(*inputs) 2025-09-07T06:54:21.5462802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5462887Z x = self.forward_features(x) 2025-09-07T06:54:21.5463175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5463247Z x = self.blocks(x) 2025-09-07T06:54:21.5463503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5463572Z x = self.se(x) 2025-09-07T06:54:21.5463823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5463905Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5463909Z 2025-09-07T06:54:21.5464022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5464253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5464327Z return mod(*inputs) 2025-09-07T06:54:21.5464567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5464648Z x = self.forward_features(x) 2025-09-07T06:54:21.5464906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5464986Z x = self.blocks(x) 2025-09-07T06:54:21.5465233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5465310Z x = self.se(x) 2025-09-07T06:54:21.5465554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5465639Z return x * self.gate(x_se) 2025-09-07T06:54:21.5465643Z 2025-09-07T06:54:21.5465757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5465973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5466055Z return mod(*inputs) 2025-09-07T06:54:21.5466289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5466375Z x = self.forward_features(x) 2025-09-07T06:54:21.5466631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5466702Z x = self.blocks(x) 2025-09-07T06:54:21.5466957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5467025Z x = self.se(x) 2025-09-07T06:54:21.5467278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5467357Z return x * self.gate(x_se) 2025-09-07T06:54:21.5467398Z 2025-09-07T06:54:21.5467496Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5467617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5467841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5467920Z return mod(*inputs) 2025-09-07T06:54:21.5468145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5468220Z x = self.forward_features(x) 2025-09-07T06:54:21.5468479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5468550Z x = self.blocks(x) 2025-09-07T06:54:21.5468798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5468872Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5469099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5469213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5469442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5469598Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5469602Z 2025-09-07T06:54:21.5469689Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5469807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5470014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5470083Z return mod(*inputs) 2025-09-07T06:54:21.5470313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5470388Z x = self.forward_features(x) 2025-09-07T06:54:21.5470645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5470718Z x = self.blocks(x) 2025-09-07T06:54:21.5470955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5471037Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5471258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5471378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5471606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5471724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5471728Z 2025-09-07T06:54:21.5471814Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5472336Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5472458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5472666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5472745Z return mod(*inputs) 2025-09-07T06:54:21.5472971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5473046Z x = self.forward_features(x) 2025-09-07T06:54:21.5473302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5473370Z x = self.blocks(x) 2025-09-07T06:54:21.5473615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5473686Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5473902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5473985Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5474025Z 2025-09-07T06:54:21.5474135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5474350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5474420Z return mod(*inputs) 2025-09-07T06:54:21.5474650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5474726Z x = self.forward_features(x) 2025-09-07T06:54:21.5474973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5475051Z x = self.blocks(x) 2025-09-07T06:54:21.5475299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5475387Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5475391Z 2025-09-07T06:54:21.5475503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5475720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5475798Z return mod(*inputs) 2025-09-07T06:54:21.5476025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5476815Z x = self.forward_features(x) 2025-09-07T06:54:21.5477083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5477154Z x = self.blocks(x) 2025-09-07T06:54:21.5477408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5477482Z x = self.conv_pw(x) 2025-09-07T06:54:21.5477716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5477831Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5478074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5478195Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5478199Z 2025-09-07T06:54:21.5478313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5478541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5478614Z return mod(*inputs) 2025-09-07T06:54:21.5478855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5478936Z x = self.forward_features(x) 2025-09-07T06:54:21.5479193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5479269Z x = self.blocks(x) 2025-09-07T06:54:21.5479521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5479605Z x = self.conv_pw(x) 2025-09-07T06:54:21.5479829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5479943Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5480193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5480307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5480310Z 2025-09-07T06:54:21.5480409Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5480496Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5480618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5480834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5480904Z return mod(*inputs) 2025-09-07T06:54:21.5481174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5481251Z x = self.forward_features(x) 2025-09-07T06:54:21.5481504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5481576Z x = self.blocks(x) 2025-09-07T06:54:21.5481814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5481893Z x = self.conv_pw(x) 2025-09-07T06:54:21.5482109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5482190Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5482193Z 2025-09-07T06:54:21.5482303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5482513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5482597Z return mod(*inputs) 2025-09-07T06:54:21.5482824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5482910Z x = self.forward_features(x) 2025-09-07T06:54:21.5483206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5483280Z x = self.blocks(x) 2025-09-07T06:54:21.5483538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5483607Z x = self.bn1(x) 2025-09-07T06:54:21.5483836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5483906Z x = F.batch_norm( 2025-09-07T06:54:21.5483910Z 2025-09-07T06:54:21.5484034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5484252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5484324Z return mod(*inputs) 2025-09-07T06:54:21.5484558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5484633Z x = self.forward_features(x) 2025-09-07T06:54:21.5484892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5484963Z x = self.blocks(x) 2025-09-07T06:54:21.5485204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5485279Z x = self.bn1(x) 2025-09-07T06:54:21.5485494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5485569Z x = self.act(x) 2025-09-07T06:54:21.5485572Z 2025-09-07T06:54:21.5485659Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5485770Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5485994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5486064Z return mod(*inputs) 2025-09-07T06:54:21.5486295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5486374Z x = self.forward_features(x) 2025-09-07T06:54:21.5486626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5486704Z x = self.blocks(x) 2025-09-07T06:54:21.5486951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5487027Z x = self.conv_dw(x) 2025-09-07T06:54:21.5487250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5487362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5487635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5487750Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5487754Z 2025-09-07T06:54:21.5487850Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5488054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5488291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5488366Z return mod(*inputs) 2025-09-07T06:54:21.5488599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5488688Z x = self.forward_features(x) 2025-09-07T06:54:21.5488943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5489023Z x = self.blocks(x) 2025-09-07T06:54:21.5489271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5489343Z x = self.conv_dw(x) 2025-09-07T06:54:21.5489577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5489750Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5489991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5490103Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5490107Z 2025-09-07T06:54:21.5490197Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5490318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5490540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5490620Z return mod(*inputs) 2025-09-07T06:54:21.5490850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5490938Z x = self.forward_features(x) 2025-09-07T06:54:21.5491191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5491266Z x = self.blocks(x) 2025-09-07T06:54:21.5491517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5491591Z x = self.conv_dw(x) 2025-09-07T06:54:21.5491822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5491935Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5492168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5492290Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5492297Z 2025-09-07T06:54:21.5492385Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5492507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5492719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5492795Z return mod(*inputs) 2025-09-07T06:54:21.5493032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5493114Z x = self.forward_features(x) 2025-09-07T06:54:21.5493377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5493450Z x = self.blocks(x) 2025-09-07T06:54:21.5493695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5493776Z x = self.conv_dw(x) 2025-09-07T06:54:21.5493999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5494153Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5494385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5494504Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5494507Z 2025-09-07T06:54:21.5494593Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5494678Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5494770Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5494853Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5494970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5495182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5495252Z return mod(*inputs) 2025-09-07T06:54:21.5495492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5495569Z x = self.forward_features(x) 2025-09-07T06:54:21.5495833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5495937Z x = self.blocks(x) 2025-09-07T06:54:21.5496178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5496257Z x = self.conv_dw(x) 2025-09-07T06:54:21.5496476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5496557Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5496561Z 2025-09-07T06:54:21.5496645Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5496754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5496971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5497045Z return mod(*inputs) 2025-09-07T06:54:21.5497274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5497350Z x = self.forward_features(x) 2025-09-07T06:54:21.5497600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5497679Z x = self.blocks(x) 2025-09-07T06:54:21.5497919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5497993Z x = self.se(x) 2025-09-07T06:54:21.5498232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5498326Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5498330Z 2025-09-07T06:54:21.5498439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5498649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5498728Z return mod(*inputs) 2025-09-07T06:54:21.5498952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5499038Z x = self.forward_features(x) 2025-09-07T06:54:21.5499283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5499352Z x = self.blocks(x) 2025-09-07T06:54:21.5499599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5499665Z x = self.se(x) 2025-09-07T06:54:21.5499907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5499986Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5499990Z 2025-09-07T06:54:21.5500136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5500352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5500424Z return mod(*inputs) 2025-09-07T06:54:21.5500655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5500732Z x = self.forward_features(x) 2025-09-07T06:54:21.5500985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5501053Z x = self.blocks(x) 2025-09-07T06:54:21.5501343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5501419Z x = self.se(x) 2025-09-07T06:54:21.5501662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5501748Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5501752Z 2025-09-07T06:54:21.5501864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5502086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5502165Z return mod(*inputs) 2025-09-07T06:54:21.5502431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5502517Z x = self.forward_features(x) 2025-09-07T06:54:21.5502773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5502843Z x = self.blocks(x) 2025-09-07T06:54:21.5503102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5503170Z x = self.se(x) 2025-09-07T06:54:21.5503425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5503507Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5503510Z 2025-09-07T06:54:21.5503618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5503836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5503911Z return mod(*inputs) 2025-09-07T06:54:21.5504151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5504232Z x = self.forward_features(x) 2025-09-07T06:54:21.5504497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5504566Z x = self.blocks(x) 2025-09-07T06:54:21.5504814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5504889Z x = self.se(x) 2025-09-07T06:54:21.5505136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5505221Z return x * self.gate(x_se) 2025-09-07T06:54:21.5505225Z 2025-09-07T06:54:21.5505337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5505555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5505636Z return mod(*inputs) 2025-09-07T06:54:21.5505869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5505954Z x = self.forward_features(x) 2025-09-07T06:54:21.5506212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5506282Z x = self.blocks(x) 2025-09-07T06:54:21.5506538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5506642Z x = self.se(x) 2025-09-07T06:54:21.5506893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5506970Z return x * self.gate(x_se) 2025-09-07T06:54:21.5506974Z 2025-09-07T06:54:21.5507062Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5507185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5507398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5507478Z return mod(*inputs) 2025-09-07T06:54:21.5507708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5507795Z x = self.forward_features(x) 2025-09-07T06:54:21.5508049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5508121Z x = self.blocks(x) 2025-09-07T06:54:21.5508379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5508452Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5508687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5508846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5509089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5509213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5509217Z 2025-09-07T06:54:21.5509305Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5509425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5509641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5509713Z return mod(*inputs) 2025-09-07T06:54:21.5509954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5510033Z x = self.forward_features(x) 2025-09-07T06:54:21.5510298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5510371Z x = self.blocks(x) 2025-09-07T06:54:21.5510619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5510702Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5510931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5511051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5511286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5511406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5511414Z 2025-09-07T06:54:21.5511501Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5511587Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5511706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5511924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5512005Z return mod(*inputs) 2025-09-07T06:54:21.5512236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5512314Z x = self.forward_features(x) 2025-09-07T06:54:21.5512578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5512650Z x = self.blocks(x) 2025-09-07T06:54:21.5512905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5513017Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5513244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5513329Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5513333Z 2025-09-07T06:54:21.5513446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5513673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5513746Z return mod(*inputs) 2025-09-07T06:54:21.5513974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5514060Z x = self.forward_features(x) 2025-09-07T06:54:21.5514315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5514395Z x = self.blocks(x) 2025-09-07T06:54:21.5514641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5514733Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5514737Z 2025-09-07T06:54:21.5514849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5515096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5515179Z return mod(*inputs) 2025-09-07T06:54:21.5515410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5515493Z x = self.forward_features(x) 2025-09-07T06:54:21.5515748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5515818Z x = self.blocks(x) 2025-09-07T06:54:21.5516073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5516144Z x = self.conv_pw(x) 2025-09-07T06:54:21.5516151Z 2025-09-07T06:54:21.5516268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5516483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5516555Z return mod(*inputs) 2025-09-07T06:54:21.5516795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5516872Z x = self.forward_features(x) 2025-09-07T06:54:21.5517138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5517207Z x = self.blocks(x) 2025-09-07T06:54:21.5517459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5517529Z x = self.conv_dw(x) 2025-09-07T06:54:21.5517532Z 2025-09-07T06:54:21.5517620Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5517740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5517961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5518038Z return mod(*inputs) 2025-09-07T06:54:21.5518262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5518339Z x = self.forward_features(x) 2025-09-07T06:54:21.5518593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5518660Z x = self.blocks(x) 2025-09-07T06:54:21.5518905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5518971Z x = self.se(x) 2025-09-07T06:54:21.5519207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5519299Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5519340Z 2025-09-07T06:54:21.5519449Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5519666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5519736Z return mod(*inputs) 2025-09-07T06:54:21.5519960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5520044Z x = self.forward_features(x) 2025-09-07T06:54:21.5520293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5520368Z x = self.blocks(x) 2025-09-07T06:54:21.5520606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5520680Z x = self.se(x) 2025-09-07T06:54:21.5520919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5521001Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5521005Z 2025-09-07T06:54:21.5521121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5521328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5521483Z return mod(*inputs) 2025-09-07T06:54:21.5521711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5521787Z x = self.forward_features(x) 2025-09-07T06:54:21.5522048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5522120Z x = self.blocks(x) 2025-09-07T06:54:21.5522373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5522442Z x = self.se(x) 2025-09-07T06:54:21.5522685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5522773Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5522777Z 2025-09-07T06:54:21.5522888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5523116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5523189Z return mod(*inputs) 2025-09-07T06:54:21.5523427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5523505Z x = self.forward_features(x) 2025-09-07T06:54:21.5523770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5523854Z x = self.blocks(x) 2025-09-07T06:54:21.5524102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5524180Z x = self.se(x) 2025-09-07T06:54:21.5524428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5524509Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5524512Z 2025-09-07T06:54:21.5524632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5524848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5524929Z return mod(*inputs) 2025-09-07T06:54:21.5525157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5525236Z x = self.forward_features(x) 2025-09-07T06:54:21.5525500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5525571Z x = self.blocks(x) 2025-09-07T06:54:21.5525822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5525962Z x = self.se(x) 2025-09-07T06:54:21.5526206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5526292Z return x * self.gate(x_se) 2025-09-07T06:54:21.5526296Z 2025-09-07T06:54:21.5526411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5526637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5526709Z return mod(*inputs) 2025-09-07T06:54:21.5526947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5527025Z x = self.forward_features(x) 2025-09-07T06:54:21.5527282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5527361Z x = self.blocks(x) 2025-09-07T06:54:21.5527608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5527684Z x = self.se(x) 2025-09-07T06:54:21.5527927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5528135Z return x * self.gate(x_se) 2025-09-07T06:54:21.5528140Z 2025-09-07T06:54:21.5528267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5528480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5528560Z return mod(*inputs) 2025-09-07T06:54:21.5528791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5528870Z x = self.forward_features(x) 2025-09-07T06:54:21.5529148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5529216Z x = self.blocks(x) 2025-09-07T06:54:21.5529464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5529536Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5529539Z 2025-09-07T06:54:21.5529658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5529870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5529941Z return mod(*inputs) 2025-09-07T06:54:21.5530174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5530250Z x = self.forward_features(x) 2025-09-07T06:54:21.5530511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5530580Z x = self.blocks(x) 2025-09-07T06:54:21.5530819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T06:54:21.5530897Z x = self.bn3(x) 2025-09-07T06:54:21.5531110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5531184Z x = F.batch_norm( 2025-09-07T06:54:21.5531188Z 2025-09-07T06:54:21.5531298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5531509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5531587Z return mod(*inputs) 2025-09-07T06:54:21.5531808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5531892Z x = self.forward_features(x) 2025-09-07T06:54:21.5532137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5532205Z x = self.blocks(x) 2025-09-07T06:54:21.5532450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5532565Z x = self.conv_pw(x) 2025-09-07T06:54:21.5532793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5532910Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5533141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5533261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5533265Z 2025-09-07T06:54:21.5533375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5533593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5533663Z return mod(*inputs) 2025-09-07T06:54:21.5533896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5533976Z x = self.forward_features(x) 2025-09-07T06:54:21.5534241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5534318Z x = self.blocks(x) 2025-09-07T06:54:21.5534589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5534669Z x = self.conv_pw(x) 2025-09-07T06:54:21.5534889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5535001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5535241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5535354Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5535357Z 2025-09-07T06:54:21.5535452Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5535542Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5535654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5535872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5535946Z return mod(*inputs) 2025-09-07T06:54:21.5536178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5536256Z x = self.forward_features(x) 2025-09-07T06:54:21.5536512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5536581Z x = self.blocks(x) 2025-09-07T06:54:21.5536824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5536903Z x = self.conv_pw(x) 2025-09-07T06:54:21.5537123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5537207Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5537211Z 2025-09-07T06:54:21.5537321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5537537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5537615Z return mod(*inputs) 2025-09-07T06:54:21.5537853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5537939Z x = self.forward_features(x) 2025-09-07T06:54:21.5538195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5538267Z x = self.blocks(x) 2025-09-07T06:54:21.5538523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5538592Z x = self.bn1(x) 2025-09-07T06:54:21.5538852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5538922Z x = F.batch_norm( 2025-09-07T06:54:21.5538926Z 2025-09-07T06:54:21.5539044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5539271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5539344Z return mod(*inputs) 2025-09-07T06:54:21.5539582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5539672Z x = self.forward_features(x) 2025-09-07T06:54:21.5539927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5539997Z x = self.blocks(x) 2025-09-07T06:54:21.5540239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5540320Z x = self.bn1(x) 2025-09-07T06:54:21.5540548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5540625Z x = self.act(x) 2025-09-07T06:54:21.5540629Z 2025-09-07T06:54:21.5540715Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5540861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5541093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5541167Z return mod(*inputs) 2025-09-07T06:54:21.5541408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5541486Z x = self.forward_features(x) 2025-09-07T06:54:21.5541744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5541823Z x = self.blocks(x) 2025-09-07T06:54:21.5542072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5542155Z x = self.conv_dw(x) 2025-09-07T06:54:21.5542383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5542502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5542750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5542863Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5542867Z 2025-09-07T06:54:21.5542963Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5543074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5543296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5543368Z return mod(*inputs) 2025-09-07T06:54:21.5543598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5543686Z x = self.forward_features(x) 2025-09-07T06:54:21.5543943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5544025Z x = self.blocks(x) 2025-09-07T06:54:21.5544274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5544345Z x = self.conv_dw(x) 2025-09-07T06:54:21.5544578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5544691Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5544935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5545047Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5545086Z 2025-09-07T06:54:21.5545174Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5545294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5545506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5545586Z return mod(*inputs) 2025-09-07T06:54:21.5546078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5546170Z x = self.forward_features(x) 2025-09-07T06:54:21.5546428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5546499Z x = self.blocks(x) 2025-09-07T06:54:21.5546757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5546829Z x = self.conv_dw(x) 2025-09-07T06:54:21.5547064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5547182Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5547418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5547617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5547622Z 2025-09-07T06:54:21.5547713Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5547836Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5548049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5548121Z return mod(*inputs) 2025-09-07T06:54:21.5548361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5548440Z x = self.forward_features(x) 2025-09-07T06:54:21.5548702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5548776Z x = self.blocks(x) 2025-09-07T06:54:21.5549024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5549104Z x = self.conv_dw(x) 2025-09-07T06:54:21.5549334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5549455Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5549694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5549816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5549819Z 2025-09-07T06:54:21.5549910Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5549999Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5550095Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5550185Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5550306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5550522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5550598Z return mod(*inputs) 2025-09-07T06:54:21.5550837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5550918Z x = self.forward_features(x) 2025-09-07T06:54:21.5551182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5551254Z x = self.blocks(x) 2025-09-07T06:54:21.5551503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5551582Z x = self.conv_dw(x) 2025-09-07T06:54:21.5551808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5551953Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5551957Z 2025-09-07T06:54:21.5552044Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5552158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5552387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5552459Z return mod(*inputs) 2025-09-07T06:54:21.5552700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5552779Z x = self.forward_features(x) 2025-09-07T06:54:21.5553036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5553116Z x = self.blocks(x) 2025-09-07T06:54:21.5553365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5553444Z x = self.se(x) 2025-09-07T06:54:21.5553694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5553788Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5553792Z 2025-09-07T06:54:21.5553936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5554151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5554232Z return mod(*inputs) 2025-09-07T06:54:21.5554461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5554548Z x = self.forward_features(x) 2025-09-07T06:54:21.5554802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5554873Z x = self.blocks(x) 2025-09-07T06:54:21.5555127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5555198Z x = self.se(x) 2025-09-07T06:54:21.5555448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5555530Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5555537Z 2025-09-07T06:54:21.5555650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5555878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5555950Z return mod(*inputs) 2025-09-07T06:54:21.5556188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5556268Z x = self.forward_features(x) 2025-09-07T06:54:21.5556539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5556610Z x = self.blocks(x) 2025-09-07T06:54:21.5556860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5556936Z x = self.se(x) 2025-09-07T06:54:21.5557182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5557266Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5557270Z 2025-09-07T06:54:21.5557380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5557603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5557683Z return mod(*inputs) 2025-09-07T06:54:21.5557922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5558005Z x = self.forward_features(x) 2025-09-07T06:54:21.5558254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5558373Z x = self.blocks(x) 2025-09-07T06:54:21.5558620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5558685Z x = self.se(x) 2025-09-07T06:54:21.5558933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5559011Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5559015Z 2025-09-07T06:54:21.5559124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5559366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5559436Z return mod(*inputs) 2025-09-07T06:54:21.5559684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5559761Z x = self.forward_features(x) 2025-09-07T06:54:21.5560042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5560116Z x = self.blocks(x) 2025-09-07T06:54:21.5560379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5560453Z x = self.se(x) 2025-09-07T06:54:21.5560737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5560825Z return x * self.gate(x_se) 2025-09-07T06:54:21.5560829Z 2025-09-07T06:54:21.5560940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5561164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5561244Z return mod(*inputs) 2025-09-07T06:54:21.5561492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5561579Z x = self.forward_features(x) 2025-09-07T06:54:21.5561839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5561909Z x = self.blocks(x) 2025-09-07T06:54:21.5562176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5562243Z x = self.se(x) 2025-09-07T06:54:21.5562496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5562573Z return x * self.gate(x_se) 2025-09-07T06:54:21.5562577Z 2025-09-07T06:54:21.5562666Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5562785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5563012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5563092Z return mod(*inputs) 2025-09-07T06:54:21.5563332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5563420Z x = self.forward_features(x) 2025-09-07T06:54:21.5563685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5563759Z x = self.blocks(x) 2025-09-07T06:54:21.5564016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5564092Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5564336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5564453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5564701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5564829Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5564870Z 2025-09-07T06:54:21.5564960Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5565084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5565300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5565374Z return mod(*inputs) 2025-09-07T06:54:21.5565615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5565694Z x = self.forward_features(x) 2025-09-07T06:54:21.5565963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5566033Z x = self.blocks(x) 2025-09-07T06:54:21.5566279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5566360Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5566587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5566712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5566950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5567104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5567108Z 2025-09-07T06:54:21.5567197Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5567283Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5567404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5567619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5567697Z return mod(*inputs) 2025-09-07T06:54:21.5567996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5568086Z x = self.forward_features(x) 2025-09-07T06:54:21.5568360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5568433Z x = self.blocks(x) 2025-09-07T06:54:21.5568697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5568772Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5569002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5569087Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5569091Z 2025-09-07T06:54:21.5569207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5569432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5569506Z return mod(*inputs) 2025-09-07T06:54:21.5569738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5569830Z x = self.forward_features(x) 2025-09-07T06:54:21.5570088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5570170Z x = self.blocks(x) 2025-09-07T06:54:21.5570424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5570516Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5570519Z 2025-09-07T06:54:21.5570634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5570853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5570935Z return mod(*inputs) 2025-09-07T06:54:21.5571166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5571252Z x = self.forward_features(x) 2025-09-07T06:54:21.5571507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5571619Z x = self.blocks(x) 2025-09-07T06:54:21.5571873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5571947Z x = self.conv_pw(x) 2025-09-07T06:54:21.5572182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5572299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5572537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5572661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5572665Z 2025-09-07T06:54:21.5572776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5572999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5573074Z return mod(*inputs) 2025-09-07T06:54:21.5573314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5573393Z x = self.forward_features(x) 2025-09-07T06:54:21.5573683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5573764Z x = self.blocks(x) 2025-09-07T06:54:21.5574009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5574089Z x = self.conv_pw(x) 2025-09-07T06:54:21.5574314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5574429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5574673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5574787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5574791Z 2025-09-07T06:54:21.5574886Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5574972Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5575086Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5575310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5575383Z return mod(*inputs) 2025-09-07T06:54:21.5575618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5575706Z x = self.forward_features(x) 2025-09-07T06:54:21.5575961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5576029Z x = self.blocks(x) 2025-09-07T06:54:21.5576269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5576350Z x = self.conv_pw(x) 2025-09-07T06:54:21.5576568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5576647Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5576653Z 2025-09-07T06:54:21.5576764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5576983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5577062Z return mod(*inputs) 2025-09-07T06:54:21.5577284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5577368Z x = self.forward_features(x) 2025-09-07T06:54:21.5577616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5577685Z x = self.blocks(x) 2025-09-07T06:54:21.5577975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5578043Z x = self.bn1(x) 2025-09-07T06:54:21.5578264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5578336Z x = F.batch_norm( 2025-09-07T06:54:21.5578340Z 2025-09-07T06:54:21.5578450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5578674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5578745Z return mod(*inputs) 2025-09-07T06:54:21.5578982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5579058Z x = self.forward_features(x) 2025-09-07T06:54:21.5579319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5579392Z x = self.blocks(x) 2025-09-07T06:54:21.5579637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5579711Z x = self.bn1(x) 2025-09-07T06:54:21.5579968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5580044Z x = self.act(x) 2025-09-07T06:54:21.5580048Z 2025-09-07T06:54:21.5580135Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5580245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5580463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5580533Z return mod(*inputs) 2025-09-07T06:54:21.5580775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5580851Z x = self.forward_features(x) 2025-09-07T06:54:21.5581102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5581178Z x = self.blocks(x) 2025-09-07T06:54:21.5581419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5581499Z x = self.conv_dw(x) 2025-09-07T06:54:21.5581721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5581834Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5582074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5582186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5582190Z 2025-09-07T06:54:21.5582283Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5582393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5582612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5582681Z return mod(*inputs) 2025-09-07T06:54:21.5582907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5582995Z x = self.forward_features(x) 2025-09-07T06:54:21.5583246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5583322Z x = self.blocks(x) 2025-09-07T06:54:21.5583565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5583634Z x = self.conv_dw(x) 2025-09-07T06:54:21.5583861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5583972Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5584241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5584351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5584355Z 2025-09-07T06:54:21.5584441Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5584561Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5584769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5584846Z return mod(*inputs) 2025-09-07T06:54:21.5585069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5585145Z x = self.forward_features(x) 2025-09-07T06:54:21.5585401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5585469Z x = self.blocks(x) 2025-09-07T06:54:21.5585716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5585790Z x = self.conv_dw(x) 2025-09-07T06:54:21.5586023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5586174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5586421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5586538Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5586541Z 2025-09-07T06:54:21.5586627Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5586742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5586949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5587019Z return mod(*inputs) 2025-09-07T06:54:21.5587248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5587327Z x = self.forward_features(x) 2025-09-07T06:54:21.5587576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5587647Z x = self.blocks(x) 2025-09-07T06:54:21.5587894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5587971Z x = self.conv_dw(x) 2025-09-07T06:54:21.5588192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5588319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5588546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5588659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5588666Z 2025-09-07T06:54:21.5588751Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5588836Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5588927Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5589010Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5589129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5589338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5589407Z return mod(*inputs) 2025-09-07T06:54:21.5589639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5589714Z x = self.forward_features(x) 2025-09-07T06:54:21.5589968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5590038Z x = self.blocks(x) 2025-09-07T06:54:21.5590277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5590393Z x = self.conv_dw(x) 2025-09-07T06:54:21.5590614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5590693Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5590699Z 2025-09-07T06:54:21.5590785Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5590895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5591117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5591187Z return mod(*inputs) 2025-09-07T06:54:21.5591427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5591507Z x = self.forward_features(x) 2025-09-07T06:54:21.5591768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5591850Z x = self.blocks(x) 2025-09-07T06:54:21.5592100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5592177Z x = self.se(x) 2025-09-07T06:54:21.5592466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5592552Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5592563Z 2025-09-07T06:54:21.5592675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5592890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5592971Z return mod(*inputs) 2025-09-07T06:54:21.5593201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5593288Z x = self.forward_features(x) 2025-09-07T06:54:21.5593545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5593619Z x = self.blocks(x) 2025-09-07T06:54:21.5593866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5593937Z x = self.se(x) 2025-09-07T06:54:21.5594192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5594274Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5594278Z 2025-09-07T06:54:21.5594391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5594614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5594686Z return mod(*inputs) 2025-09-07T06:54:21.5594924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5595006Z x = self.forward_features(x) 2025-09-07T06:54:21.5595262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5595342Z x = self.blocks(x) 2025-09-07T06:54:21.5595591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5595667Z x = self.se(x) 2025-09-07T06:54:21.5595917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5596000Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5596004Z 2025-09-07T06:54:21.5596117Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5596330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5596411Z return mod(*inputs) 2025-09-07T06:54:21.5596642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5596766Z x = self.forward_features(x) 2025-09-07T06:54:21.5597043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5597114Z x = self.blocks(x) 2025-09-07T06:54:21.5597406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5597475Z x = self.se(x) 2025-09-07T06:54:21.5597725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5597808Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5597811Z 2025-09-07T06:54:21.5597924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5598171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5598244Z return mod(*inputs) 2025-09-07T06:54:21.5598486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5598564Z x = self.forward_features(x) 2025-09-07T06:54:21.5598840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5598956Z x = self.blocks(x) 2025-09-07T06:54:21.5599203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5599279Z x = self.se(x) 2025-09-07T06:54:21.5599534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5599618Z return x * self.gate(x_se) 2025-09-07T06:54:21.5599622Z 2025-09-07T06:54:21.5599733Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5599969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5600052Z return mod(*inputs) 2025-09-07T06:54:21.5600280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5600364Z x = self.forward_features(x) 2025-09-07T06:54:21.5600640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5600711Z x = self.blocks(x) 2025-09-07T06:54:21.5600984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5601051Z x = self.se(x) 2025-09-07T06:54:21.5601313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5601389Z return x * self.gate(x_se) 2025-09-07T06:54:21.5601392Z 2025-09-07T06:54:21.5601479Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5601597Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5601812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5601889Z return mod(*inputs) 2025-09-07T06:54:21.5602116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5602196Z x = self.forward_features(x) 2025-09-07T06:54:21.5602456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5602526Z x = self.blocks(x) 2025-09-07T06:54:21.5602797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5602871Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5603127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5603243Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5603523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5603646Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5603650Z 2025-09-07T06:54:21.5603739Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5603861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5604077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5604149Z return mod(*inputs) 2025-09-07T06:54:21.5604400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5604479Z x = self.forward_features(x) 2025-09-07T06:54:21.5604758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5604828Z x = self.blocks(x) 2025-09-07T06:54:21.5605090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5605175Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5605421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5605600Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5605828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5605947Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5605950Z 2025-09-07T06:54:21.5606036Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5606122Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5606237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5606463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5606547Z return mod(*inputs) 2025-09-07T06:54:21.5606786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5606866Z x = self.forward_features(x) 2025-09-07T06:54:21.5607133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5607205Z x = self.blocks(x) 2025-09-07T06:54:21.5607468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5607543Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5607781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5607866Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5607869Z 2025-09-07T06:54:21.5608064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5608297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5608374Z return mod(*inputs) 2025-09-07T06:54:21.5608605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5608696Z x = self.forward_features(x) 2025-09-07T06:54:21.5608957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5609040Z x = self.blocks(x) 2025-09-07T06:54:21.5609291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5609383Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5609387Z 2025-09-07T06:54:21.5609500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5609722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5609803Z return mod(*inputs) 2025-09-07T06:54:21.5610070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5610155Z x = self.forward_features(x) 2025-09-07T06:54:21.5610404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5610478Z x = self.blocks(x) 2025-09-07T06:54:21.5610729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5610801Z x = self.conv_pw(x) 2025-09-07T06:54:21.5611024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5611137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5611365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5611487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5611494Z 2025-09-07T06:54:21.5611607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5611830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5611902Z return mod(*inputs) 2025-09-07T06:54:21.5612189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5612269Z x = self.forward_features(x) 2025-09-07T06:54:21.5612523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5612601Z x = self.blocks(x) 2025-09-07T06:54:21.5612844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5612921Z x = self.conv_pw(x) 2025-09-07T06:54:21.5613140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5613255Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5613494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5613606Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5613610Z 2025-09-07T06:54:21.5613702Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5613788Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5613898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5614117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5614187Z return mod(*inputs) 2025-09-07T06:54:21.5614421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5614498Z x = self.forward_features(x) 2025-09-07T06:54:21.5614749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5614831Z x = self.blocks(x) 2025-09-07T06:54:21.5615075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5615152Z x = self.conv_pw(x) 2025-09-07T06:54:21.5615372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5615452Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5615456Z 2025-09-07T06:54:21.5615566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5615776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5615854Z return mod(*inputs) 2025-09-07T06:54:21.5616080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5616162Z x = self.forward_features(x) 2025-09-07T06:54:21.5616447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5616515Z x = self.blocks(x) 2025-09-07T06:54:21.5616773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5616845Z x = self.bn1(x) 2025-09-07T06:54:21.5617072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5617143Z x = F.batch_norm( 2025-09-07T06:54:21.5617147Z 2025-09-07T06:54:21.5617258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5617484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5617558Z return mod(*inputs) 2025-09-07T06:54:21.5617793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5617873Z x = self.forward_features(x) 2025-09-07T06:54:21.5618127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5618204Z x = self.blocks(x) 2025-09-07T06:54:21.5618486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5618565Z x = self.bn1(x) 2025-09-07T06:54:21.5618784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5618860Z x = self.act(x) 2025-09-07T06:54:21.5618864Z 2025-09-07T06:54:21.5618953Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5619064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5619296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5619367Z return mod(*inputs) 2025-09-07T06:54:21.5619607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5619684Z x = self.forward_features(x) 2025-09-07T06:54:21.5619937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5620018Z x = self.blocks(x) 2025-09-07T06:54:21.5620259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5620338Z x = self.conv_dw(x) 2025-09-07T06:54:21.5620562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5620673Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5620914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5621025Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5621031Z 2025-09-07T06:54:21.5621128Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5621237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5621447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5621527Z return mod(*inputs) 2025-09-07T06:54:21.5621759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5621847Z x = self.forward_features(x) 2025-09-07T06:54:21.5622109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5622189Z x = self.blocks(x) 2025-09-07T06:54:21.5622447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5622517Z x = self.conv_dw(x) 2025-09-07T06:54:21.5622779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5622889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5623126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5623235Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5623238Z 2025-09-07T06:54:21.5623324Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5623444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5623658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5623738Z return mod(*inputs) 2025-09-07T06:54:21.5623966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5624044Z x = self.forward_features(x) 2025-09-07T06:54:21.5624308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5624377Z x = self.blocks(x) 2025-09-07T06:54:21.5624642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5624794Z x = self.conv_dw(x) 2025-09-07T06:54:21.5625021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5625140Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5625384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5625499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5625503Z 2025-09-07T06:54:21.5625589Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5625705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5625915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5625987Z return mod(*inputs) 2025-09-07T06:54:21.5626225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5626307Z x = self.forward_features(x) 2025-09-07T06:54:21.5626571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5626643Z x = self.blocks(x) 2025-09-07T06:54:21.5626888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5626969Z x = self.conv_dw(x) 2025-09-07T06:54:21.5627192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5627311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5627547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5627659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5627671Z 2025-09-07T06:54:21.5627757Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5627848Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5627943Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5628029Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5628141Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5628364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5628437Z return mod(*inputs) 2025-09-07T06:54:21.5628674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5628753Z x = self.forward_features(x) 2025-09-07T06:54:21.5629071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5629142Z x = self.blocks(x) 2025-09-07T06:54:21.5629389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5629469Z x = self.conv_dw(x) 2025-09-07T06:54:21.5629695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5629777Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5629781Z 2025-09-07T06:54:21.5629864Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5629979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5630204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5630277Z return mod(*inputs) 2025-09-07T06:54:21.5630514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5630597Z x = self.forward_features(x) 2025-09-07T06:54:21.5630854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5630933Z x = self.blocks(x) 2025-09-07T06:54:21.5631215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5631293Z x = self.se(x) 2025-09-07T06:54:21.5631540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5631625Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5631637Z 2025-09-07T06:54:21.5631750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5631966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5632046Z return mod(*inputs) 2025-09-07T06:54:21.5632282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5632368Z x = self.forward_features(x) 2025-09-07T06:54:21.5632624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5632696Z x = self.blocks(x) 2025-09-07T06:54:21.5632953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5633021Z x = self.se(x) 2025-09-07T06:54:21.5633275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5633357Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5633361Z 2025-09-07T06:54:21.5633472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5633699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5633776Z return mod(*inputs) 2025-09-07T06:54:21.5634018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5634095Z x = self.forward_features(x) 2025-09-07T06:54:21.5634353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5634432Z x = self.blocks(x) 2025-09-07T06:54:21.5634681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5634756Z x = self.se(x) 2025-09-07T06:54:21.5635000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5635078Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5635089Z 2025-09-07T06:54:21.5635203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5635419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5635535Z return mod(*inputs) 2025-09-07T06:54:21.5635766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5635855Z x = self.forward_features(x) 2025-09-07T06:54:21.5636115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5636184Z x = self.blocks(x) 2025-09-07T06:54:21.5636440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5636509Z x = self.se(x) 2025-09-07T06:54:21.5636760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5636841Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5636845Z 2025-09-07T06:54:21.5636959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5637195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5637267Z return mod(*inputs) 2025-09-07T06:54:21.5637507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5637617Z x = self.forward_features(x) 2025-09-07T06:54:21.5637881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5637960Z x = self.blocks(x) 2025-09-07T06:54:21.5638207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5638283Z x = self.se(x) 2025-09-07T06:54:21.5638527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5638610Z return x * self.gate(x_se) 2025-09-07T06:54:21.5638617Z 2025-09-07T06:54:21.5638727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5638942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5639024Z return mod(*inputs) 2025-09-07T06:54:21.5639260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5639346Z x = self.forward_features(x) 2025-09-07T06:54:21.5639605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5639678Z x = self.blocks(x) 2025-09-07T06:54:21.5639935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5640003Z x = self.se(x) 2025-09-07T06:54:21.5640263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5640342Z return x * self.gate(x_se) 2025-09-07T06:54:21.5640345Z 2025-09-07T06:54:21.5640432Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5640550Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5640759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5640839Z return mod(*inputs) 2025-09-07T06:54:21.5641071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5641148Z x = self.forward_features(x) 2025-09-07T06:54:21.5641412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5641482Z x = self.blocks(x) 2025-09-07T06:54:21.5641737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5641813Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5642082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5642198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5642438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5642562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5642566Z 2025-09-07T06:54:21.5642653Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5642771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5642983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5643055Z return mod(*inputs) 2025-09-07T06:54:21.5643289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5643366Z x = self.forward_features(x) 2025-09-07T06:54:21.5643631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5643702Z x = self.blocks(x) 2025-09-07T06:54:21.5643948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5644063Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5644293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5644414Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5644650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5644763Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5644773Z 2025-09-07T06:54:21.5644861Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5644949Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5645074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5645288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5645367Z return mod(*inputs) 2025-09-07T06:54:21.5645598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5645678Z x = self.forward_features(x) 2025-09-07T06:54:21.5646135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5646211Z x = self.blocks(x) 2025-09-07T06:54:21.5646469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5646544Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5646772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5646862Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5646866Z 2025-09-07T06:54:21.5646979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5647205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5647278Z return mod(*inputs) 2025-09-07T06:54:21.5647511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5647601Z x = self.forward_features(x) 2025-09-07T06:54:21.5647857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5647983Z x = self.blocks(x) 2025-09-07T06:54:21.5648248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5648331Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5648343Z 2025-09-07T06:54:21.5648458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5648753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5648834Z return mod(*inputs) 2025-09-07T06:54:21.5649065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5649155Z x = self.forward_features(x) 2025-09-07T06:54:21.5649413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5649484Z x = self.blocks(x) 2025-09-07T06:54:21.5649748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5649819Z x = self.conv_pw(x) 2025-09-07T06:54:21.5649822Z 2025-09-07T06:54:21.5649937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5650146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5650220Z return mod(*inputs) 2025-09-07T06:54:21.5650453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5650530Z x = self.forward_features(x) 2025-09-07T06:54:21.5650844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5650915Z x = self.blocks(x) 2025-09-07T06:54:21.5651154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5651230Z x = self.bn1(x) 2025-09-07T06:54:21.5651448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5651528Z x = F.batch_norm( 2025-09-07T06:54:21.5651531Z 2025-09-07T06:54:21.5651642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5651868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5651945Z return mod(*inputs) 2025-09-07T06:54:21.5652177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5652265Z x = self.forward_features(x) 2025-09-07T06:54:21.5652529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5652608Z x = self.blocks(x) 2025-09-07T06:54:21.5652867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5652934Z x = self.bn1(x) 2025-09-07T06:54:21.5653156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5653223Z x = self.act(x) 2025-09-07T06:54:21.5653226Z 2025-09-07T06:54:21.5653319Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5653431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5653642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5653724Z return mod(*inputs) 2025-09-07T06:54:21.5653955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5654040Z x = self.forward_features(x) 2025-09-07T06:54:21.5654290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5654358Z x = self.blocks(x) 2025-09-07T06:54:21.5654605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5654675Z x = self.conv_dw(x) 2025-09-07T06:54:21.5654903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5655018Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5655305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5655419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5655422Z 2025-09-07T06:54:21.5655514Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5655630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5655837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5655914Z return mod(*inputs) 2025-09-07T06:54:21.5656137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5656213Z x = self.forward_features(x) 2025-09-07T06:54:21.5656469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5656537Z x = self.blocks(x) 2025-09-07T06:54:21.5656784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5656853Z x = self.conv_dw(x) 2025-09-07T06:54:21.5657104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5657231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5657466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5657586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5657589Z 2025-09-07T06:54:21.5657678Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5657798Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5658012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5658084Z return mod(*inputs) 2025-09-07T06:54:21.5658322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5658401Z x = self.forward_features(x) 2025-09-07T06:54:21.5658667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5658738Z x = self.blocks(x) 2025-09-07T06:54:21.5658984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5659073Z x = self.conv_dw(x) 2025-09-07T06:54:21.5659291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5659405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5659633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5659746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5659749Z 2025-09-07T06:54:21.5659844Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5659952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5660172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5660243Z return mod(*inputs) 2025-09-07T06:54:21.5660479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5660566Z x = self.forward_features(x) 2025-09-07T06:54:21.5660820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5660899Z x = self.blocks(x) 2025-09-07T06:54:21.5661146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5661224Z x = self.conv_dw(x) 2025-09-07T06:54:21.5661484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5661597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5661845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5661956Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5661960Z 2025-09-07T06:54:21.5662055Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5662143Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5662229Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5662324Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5662440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5662665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5662738Z return mod(*inputs) 2025-09-07T06:54:21.5662972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5663059Z x = self.forward_features(x) 2025-09-07T06:54:21.5663347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5663431Z x = self.blocks(x) 2025-09-07T06:54:21.5663682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5663755Z x = self.conv_dw(x) 2025-09-07T06:54:21.5663996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5664072Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5664076Z 2025-09-07T06:54:21.5664172Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5664285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5664504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5664589Z return mod(*inputs) 2025-09-07T06:54:21.5664826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5664911Z x = self.forward_features(x) 2025-09-07T06:54:21.5665174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5665254Z x = self.blocks(x) 2025-09-07T06:54:21.5665506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5665573Z x = self.se(x) 2025-09-07T06:54:21.5665829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5665913Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5665917Z 2025-09-07T06:54:21.5666038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5666257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5666330Z return mod(*inputs) 2025-09-07T06:54:21.5666575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5666654Z x = self.forward_features(x) 2025-09-07T06:54:21.5666926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5666995Z x = self.blocks(x) 2025-09-07T06:54:21.5667246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5667323Z x = self.se(x) 2025-09-07T06:54:21.5667573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5667660Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5667702Z 2025-09-07T06:54:21.5667817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5668038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5668111Z return mod(*inputs) 2025-09-07T06:54:21.5668343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5668431Z x = self.forward_features(x) 2025-09-07T06:54:21.5668690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5668770Z x = self.blocks(x) 2025-09-07T06:54:21.5669018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5669087Z x = self.se(x) 2025-09-07T06:54:21.5669340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5669421Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5669425Z 2025-09-07T06:54:21.5669546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5669762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5669865Z return mod(*inputs) 2025-09-07T06:54:21.5670107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5670186Z x = self.forward_features(x) 2025-09-07T06:54:21.5670449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5670519Z x = self.blocks(x) 2025-09-07T06:54:21.5670766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5670840Z x = self.se(x) 2025-09-07T06:54:21.5671085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5671176Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5671179Z 2025-09-07T06:54:21.5671292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5671516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5671589Z return mod(*inputs) 2025-09-07T06:54:21.5671819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5671905Z x = self.forward_features(x) 2025-09-07T06:54:21.5672162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5672239Z x = self.blocks(x) 2025-09-07T06:54:21.5672486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5672553Z x = self.se(x) 2025-09-07T06:54:21.5672809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5672887Z return x * self.gate(x_se) 2025-09-07T06:54:21.5672890Z 2025-09-07T06:54:21.5673010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5673228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5673301Z return mod(*inputs) 2025-09-07T06:54:21.5673545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5673622Z x = self.forward_features(x) 2025-09-07T06:54:21.5673884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5673956Z x = self.blocks(x) 2025-09-07T06:54:21.5674201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5674313Z x = self.se(x) 2025-09-07T06:54:21.5674558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5674642Z return x * self.gate(x_se) 2025-09-07T06:54:21.5674645Z 2025-09-07T06:54:21.5674763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5674988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5675061Z return mod(*inputs) 2025-09-07T06:54:21.5675294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5675380Z x = self.forward_features(x) 2025-09-07T06:54:21.5675642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5675718Z x = self.blocks(x) 2025-09-07T06:54:21.5675961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5676037Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5676041Z 2025-09-07T06:54:21.5676162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5676421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5676503Z return mod(*inputs) 2025-09-07T06:54:21.5676734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5676813Z x = self.forward_features(x) 2025-09-07T06:54:21.5677076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5677147Z x = self.blocks(x) 2025-09-07T06:54:21.5677401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T06:54:21.5677470Z x = self.bn3(x) 2025-09-07T06:54:21.5677691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5677772Z x = F.batch_norm( 2025-09-07T06:54:21.5677775Z 2025-09-07T06:54:21.5677887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5678116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5678186Z return mod(*inputs) 2025-09-07T06:54:21.5678416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5678494Z x = self.forward_features(x) 2025-09-07T06:54:21.5678741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5678818Z x = self.blocks(x) 2025-09-07T06:54:21.5679056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5679137Z x = self.conv_pw(x) 2025-09-07T06:54:21.5679140Z 2025-09-07T06:54:21.5679249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5679454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5679535Z return mod(*inputs) 2025-09-07T06:54:21.5679757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5679840Z x = self.forward_features(x) 2025-09-07T06:54:21.5680087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5680156Z x = self.blocks(x) 2025-09-07T06:54:21.5680401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5680467Z x = self.bn1(x) 2025-09-07T06:54:21.5680685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5680792Z x = F.batch_norm( 2025-09-07T06:54:21.5680796Z 2025-09-07T06:54:21.5680914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5681128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5681199Z return mod(*inputs) 2025-09-07T06:54:21.5681434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5681509Z x = self.forward_features(x) 2025-09-07T06:54:21.5681776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5681847Z x = self.blocks(x) 2025-09-07T06:54:21.5682100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5682180Z x = self.bn1(x) 2025-09-07T06:54:21.5682416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5682489Z x = self.act(x) 2025-09-07T06:54:21.5682492Z 2025-09-07T06:54:21.5682580Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5682722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5682945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5683014Z return mod(*inputs) 2025-09-07T06:54:21.5683243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5683320Z x = self.forward_features(x) 2025-09-07T06:54:21.5683569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5683645Z x = self.blocks(x) 2025-09-07T06:54:21.5683887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5683967Z x = self.conv_dw(x) 2025-09-07T06:54:21.5684189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5684302Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5684544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5684658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5684662Z 2025-09-07T06:54:21.5684757Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5684869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5685094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5685166Z return mod(*inputs) 2025-09-07T06:54:21.5685399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5685488Z x = self.forward_features(x) 2025-09-07T06:54:21.5685743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5685821Z x = self.blocks(x) 2025-09-07T06:54:21.5686071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5686141Z x = self.conv_dw(x) 2025-09-07T06:54:21.5686375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5686489Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5686730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5686843Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5686846Z 2025-09-07T06:54:21.5686968Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5687088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5687302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5687382Z return mod(*inputs) 2025-09-07T06:54:21.5687616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5687702Z x = self.forward_features(x) 2025-09-07T06:54:21.5688021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5688101Z x = self.blocks(x) 2025-09-07T06:54:21.5688360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5688431Z x = self.conv_dw(x) 2025-09-07T06:54:21.5688667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5688789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5689029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5689184Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5689189Z 2025-09-07T06:54:21.5689281Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5689404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5689625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5689696Z return mod(*inputs) 2025-09-07T06:54:21.5689929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5690006Z x = self.forward_features(x) 2025-09-07T06:54:21.5690264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5690338Z x = self.blocks(x) 2025-09-07T06:54:21.5690577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5690657Z x = self.conv_dw(x) 2025-09-07T06:54:21.5690878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5690997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5691227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5691343Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5691347Z 2025-09-07T06:54:21.5691433Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5691517Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5691608Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5691694Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5691811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5692020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5692091Z return mod(*inputs) 2025-09-07T06:54:21.5692326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5692404Z x = self.forward_features(x) 2025-09-07T06:54:21.5692662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5692731Z x = self.blocks(x) 2025-09-07T06:54:21.5692974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5693051Z x = self.conv_dw(x) 2025-09-07T06:54:21.5693269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5693394Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5693398Z 2025-09-07T06:54:21.5693481Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5693590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5693812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5693881Z return mod(*inputs) 2025-09-07T06:54:21.5694114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5694190Z x = self.forward_features(x) 2025-09-07T06:54:21.5694441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5694517Z x = self.blocks(x) 2025-09-07T06:54:21.5694762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5694837Z x = self.se(x) 2025-09-07T06:54:21.5695083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5695173Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5695177Z 2025-09-07T06:54:21.5695285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5695533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5695613Z return mod(*inputs) 2025-09-07T06:54:21.5695837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5695920Z x = self.forward_features(x) 2025-09-07T06:54:21.5696168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5696237Z x = self.blocks(x) 2025-09-07T06:54:21.5696485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5696554Z x = self.se(x) 2025-09-07T06:54:21.5696799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5696878Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5696881Z 2025-09-07T06:54:21.5696992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5697216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5697286Z return mod(*inputs) 2025-09-07T06:54:21.5697516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5697591Z x = self.forward_features(x) 2025-09-07T06:54:21.5697846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5697916Z x = self.blocks(x) 2025-09-07T06:54:21.5698154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5698229Z x = self.se(x) 2025-09-07T06:54:21.5698467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5698549Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5698553Z 2025-09-07T06:54:21.5698661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5698866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5698943Z return mod(*inputs) 2025-09-07T06:54:21.5699166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5699250Z x = self.forward_features(x) 2025-09-07T06:54:21.5699499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5699602Z x = self.blocks(x) 2025-09-07T06:54:21.5699854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5699918Z x = self.se(x) 2025-09-07T06:54:21.5700169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5700248Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5700252Z 2025-09-07T06:54:21.5700371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5700584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5700655Z return mod(*inputs) 2025-09-07T06:54:21.5700900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5700976Z x = self.forward_features(x) 2025-09-07T06:54:21.5701229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5701300Z x = self.blocks(x) 2025-09-07T06:54:21.5701544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5701620Z x = self.se(x) 2025-09-07T06:54:21.5701909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5701995Z return x * self.gate(x_se) 2025-09-07T06:54:21.5701999Z 2025-09-07T06:54:21.5702119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5702325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5702406Z return mod(*inputs) 2025-09-07T06:54:21.5702629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5702715Z x = self.forward_features(x) 2025-09-07T06:54:21.5702969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5703038Z x = self.blocks(x) 2025-09-07T06:54:21.5703292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5703359Z x = self.se(x) 2025-09-07T06:54:21.5703606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5703681Z return x * self.gate(x_se) 2025-09-07T06:54:21.5703685Z 2025-09-07T06:54:21.5703778Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5703889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5704100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5704178Z return mod(*inputs) 2025-09-07T06:54:21.5704407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5704495Z x = self.forward_features(x) 2025-09-07T06:54:21.5704752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5704821Z x = self.blocks(x) 2025-09-07T06:54:21.5705077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5705151Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5705385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5705501Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5705738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5705858Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5705862Z 2025-09-07T06:54:21.5705983Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5706103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5706315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5706384Z return mod(*inputs) 2025-09-07T06:54:21.5706622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5706699Z x = self.forward_features(x) 2025-09-07T06:54:21.5706962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5707030Z x = self.blocks(x) 2025-09-07T06:54:21.5707284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5707356Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5707579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5707704Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5707941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5708092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5708097Z 2025-09-07T06:54:21.5708186Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5708270Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5708388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5708594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5708673Z return mod(*inputs) 2025-09-07T06:54:21.5708897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5708974Z x = self.forward_features(x) 2025-09-07T06:54:21.5709228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5709301Z x = self.blocks(x) 2025-09-07T06:54:21.5709546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5709622Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5709839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5709920Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5709924Z 2025-09-07T06:54:21.5710034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5710248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5710317Z return mod(*inputs) 2025-09-07T06:54:21.5710546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5710624Z x = self.forward_features(x) 2025-09-07T06:54:21.5710877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5710955Z x = self.blocks(x) 2025-09-07T06:54:21.5711196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5711283Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5711287Z 2025-09-07T06:54:21.5711394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5711602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5711682Z return mod(*inputs) 2025-09-07T06:54:21.5711903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5711988Z x = self.forward_features(x) 2025-09-07T06:54:21.5712236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5712342Z x = self.blocks(x) 2025-09-07T06:54:21.5712593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5712664Z x = self.conv_pw(x) 2025-09-07T06:54:21.5712668Z 2025-09-07T06:54:21.5712785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5712994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5713070Z return mod(*inputs) 2025-09-07T06:54:21.5713293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5713369Z x = self.forward_features(x) 2025-09-07T06:54:21.5713624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5713693Z x = self.blocks(x) 2025-09-07T06:54:21.5713943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5714010Z x = self.bn1(x) 2025-09-07T06:54:21.5714224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5714335Z x = F.batch_norm( 2025-09-07T06:54:21.5714340Z 2025-09-07T06:54:21.5714450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5714667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5714737Z return mod(*inputs) 2025-09-07T06:54:21.5714962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5715045Z x = self.forward_features(x) 2025-09-07T06:54:21.5715293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5715373Z x = self.blocks(x) 2025-09-07T06:54:21.5715612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5715679Z x = self.bn1(x) 2025-09-07T06:54:21.5715903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5715968Z x = self.act(x) 2025-09-07T06:54:21.5715972Z 2025-09-07T06:54:21.5716066Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5716175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5716382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5716459Z return mod(*inputs) 2025-09-07T06:54:21.5716683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5716768Z x = self.forward_features(x) 2025-09-07T06:54:21.5717016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5717095Z x = self.blocks(x) 2025-09-07T06:54:21.5717334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5717408Z x = self.conv_dw(x) 2025-09-07T06:54:21.5717638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5717751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5717991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5718104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5718107Z 2025-09-07T06:54:21.5718193Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5718311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5718555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5718632Z return mod(*inputs) 2025-09-07T06:54:21.5718857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5718938Z x = self.forward_features(x) 2025-09-07T06:54:21.5719198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5719269Z x = self.blocks(x) 2025-09-07T06:54:21.5719521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5719591Z x = self.conv_dw(x) 2025-09-07T06:54:21.5719810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5719930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5720158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5720281Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5720284Z 2025-09-07T06:54:21.5720369Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5720521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5720732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5720804Z return mod(*inputs) 2025-09-07T06:54:21.5721040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5721120Z x = self.forward_features(x) 2025-09-07T06:54:21.5721381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5721454Z x = self.blocks(x) 2025-09-07T06:54:21.5721700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5721787Z x = self.conv_dw(x) 2025-09-07T06:54:21.5722015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5722143Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5722383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5722499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5722511Z 2025-09-07T06:54:21.5722602Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5722721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5722949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5723026Z return mod(*inputs) 2025-09-07T06:54:21.5723278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5723362Z x = self.forward_features(x) 2025-09-07T06:54:21.5723615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5723696Z x = self.blocks(x) 2025-09-07T06:54:21.5723944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5724027Z x = self.conv_dw(x) 2025-09-07T06:54:21.5724256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5724372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5724621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5724736Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5724810Z 2025-09-07T06:54:21.5724908Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5724995Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5725082Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5725176Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5725293Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5725516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5725589Z return mod(*inputs) 2025-09-07T06:54:21.5725831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5725918Z x = self.forward_features(x) 2025-09-07T06:54:21.5726175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5726253Z x = self.blocks(x) 2025-09-07T06:54:21.5726501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5726576Z x = self.conv_dw(x) 2025-09-07T06:54:21.5726808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5726883Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5726887Z 2025-09-07T06:54:21.5727428Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5727544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5727778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5727851Z return mod(*inputs) 2025-09-07T06:54:21.5728160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5728255Z x = self.forward_features(x) 2025-09-07T06:54:21.5728512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5728597Z x = self.blocks(x) 2025-09-07T06:54:21.5728846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5728915Z x = self.se(x) 2025-09-07T06:54:21.5729177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5729262Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5729266Z 2025-09-07T06:54:21.5729388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5729618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5729691Z return mod(*inputs) 2025-09-07T06:54:21.5729941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5730020Z x = self.forward_features(x) 2025-09-07T06:54:21.5730286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5730359Z x = self.blocks(x) 2025-09-07T06:54:21.5730610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5730686Z x = self.se(x) 2025-09-07T06:54:21.5730946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5731036Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5731040Z 2025-09-07T06:54:21.5731153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5731378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5731451Z return mod(*inputs) 2025-09-07T06:54:21.5731688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5731776Z x = self.forward_features(x) 2025-09-07T06:54:21.5732074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5732154Z x = self.blocks(x) 2025-09-07T06:54:21.5732401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5732469Z x = self.se(x) 2025-09-07T06:54:21.5732722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5732800Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5732804Z 2025-09-07T06:54:21.5732925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5733140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5733211Z return mod(*inputs) 2025-09-07T06:54:21.5733450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5733532Z x = self.forward_features(x) 2025-09-07T06:54:21.5733794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5733864Z x = self.blocks(x) 2025-09-07T06:54:21.5734150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5734218Z x = self.se(x) 2025-09-07T06:54:21.5734465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5734554Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5734557Z 2025-09-07T06:54:21.5734669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5734892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5734964Z return mod(*inputs) 2025-09-07T06:54:21.5735197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5735287Z x = self.forward_features(x) 2025-09-07T06:54:21.5735543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5735623Z x = self.blocks(x) 2025-09-07T06:54:21.5735874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5735941Z x = self.se(x) 2025-09-07T06:54:21.5736193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5736271Z return x * self.gate(x_se) 2025-09-07T06:54:21.5736274Z 2025-09-07T06:54:21.5736395Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5736608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5736679Z return mod(*inputs) 2025-09-07T06:54:21.5736922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5737001Z x = self.forward_features(x) 2025-09-07T06:54:21.5737269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5737341Z x = self.blocks(x) 2025-09-07T06:54:21.5737593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5737659Z x = self.se(x) 2025-09-07T06:54:21.5737902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5737987Z return x * self.gate(x_se) 2025-09-07T06:54:21.5737990Z 2025-09-07T06:54:21.5738079Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5738197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5738453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5738526Z return mod(*inputs) 2025-09-07T06:54:21.5738765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5738847Z x = self.forward_features(x) 2025-09-07T06:54:21.5739112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5739184Z x = self.blocks(x) 2025-09-07T06:54:21.5739430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5739513Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5739744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5739868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5740110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5740230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5740241Z 2025-09-07T06:54:21.5740330Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5740476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5740704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5740776Z return mod(*inputs) 2025-09-07T06:54:21.5741010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5741090Z x = self.forward_features(x) 2025-09-07T06:54:21.5741346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5741426Z x = self.blocks(x) 2025-09-07T06:54:21.5741671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5741755Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5741979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5742095Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5742340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5742453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5742457Z 2025-09-07T06:54:21.5742553Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5742638Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5742751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5742971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5743043Z return mod(*inputs) 2025-09-07T06:54:21.5743281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5743358Z x = self.forward_features(x) 2025-09-07T06:54:21.5743622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5743693Z x = self.blocks(x) 2025-09-07T06:54:21.5743942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5744023Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5744247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5744329Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5744333Z 2025-09-07T06:54:21.5744446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5744672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5744785Z return mod(*inputs) 2025-09-07T06:54:21.5745019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5745107Z x = self.forward_features(x) 2025-09-07T06:54:21.5745367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5745438Z x = self.blocks(x) 2025-09-07T06:54:21.5745872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5745968Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5745972Z 2025-09-07T06:54:21.5746095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5746310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5746384Z return mod(*inputs) 2025-09-07T06:54:21.5746634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5746717Z x = self.forward_features(x) 2025-09-07T06:54:21.5746980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5747124Z x = self.blocks(x) 2025-09-07T06:54:21.5747380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T06:54:21.5747453Z x = self.conv_pw(x) 2025-09-07T06:54:21.5747457Z 2025-09-07T06:54:21.5747569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5747791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5747865Z return mod(*inputs) 2025-09-07T06:54:21.5748112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5748191Z x = self.forward_features(x) 2025-09-07T06:54:21.5748452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5748531Z x = self.blocks(x) 2025-09-07T06:54:21.5748782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5748863Z x = self.bn1(x) 2025-09-07T06:54:21.5749086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T06:54:21.5749157Z x = F.batch_norm( 2025-09-07T06:54:21.5749161Z 2025-09-07T06:54:21.5749285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5749510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5749591Z return mod(*inputs) 2025-09-07T06:54:21.5749829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5749910Z x = self.forward_features(x) 2025-09-07T06:54:21.5750182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5750253Z x = self.blocks(x) 2025-09-07T06:54:21.5750511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T06:54:21.5750580Z x = self.bn1(x) 2025-09-07T06:54:21.5750809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T06:54:21.5750879Z x = self.act(x) 2025-09-07T06:54:21.5750883Z 2025-09-07T06:54:21.5750970Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5751090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5751306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5751385Z return mod(*inputs) 2025-09-07T06:54:21.5751683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5751760Z x = self.forward_features(x) 2025-09-07T06:54:21.5752027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5752102Z x = self.blocks(x) 2025-09-07T06:54:21.5752354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5752426Z x = self.conv_dw(x) 2025-09-07T06:54:21.5752650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5752773Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5753007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5753130Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5753137Z 2025-09-07T06:54:21.5753226Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5753371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5753584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5753691Z return mod(*inputs) 2025-09-07T06:54:21.5753934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5754013Z x = self.forward_features(x) 2025-09-07T06:54:21.5754281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5754353Z x = self.blocks(x) 2025-09-07T06:54:21.5754602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5754686Z x = self.conv_dw(x) 2025-09-07T06:54:21.5754919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5755039Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5755279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5755395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5755399Z 2025-09-07T06:54:21.5755494Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5755607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5755833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5755904Z return mod(*inputs) 2025-09-07T06:54:21.5756138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5756224Z x = self.forward_features(x) 2025-09-07T06:54:21.5756484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5756562Z x = self.blocks(x) 2025-09-07T06:54:21.5756812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5756892Z x = self.conv_dw(x) 2025-09-07T06:54:21.5757120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5757233Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5757476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5757589Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5757592Z 2025-09-07T06:54:21.5757685Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5757797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5758052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5758131Z return mod(*inputs) 2025-09-07T06:54:21.5758367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5758458Z x = self.forward_features(x) 2025-09-07T06:54:21.5758721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5758796Z x = self.blocks(x) 2025-09-07T06:54:21.5759059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5759134Z x = self.conv_dw(x) 2025-09-07T06:54:21.5759371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5759487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5759731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5759854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5759858Z 2025-09-07T06:54:21.5759950Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5760082Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5760171Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5760263Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5760379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5760595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5760678Z return mod(*inputs) 2025-09-07T06:54:21.5760910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5760995Z x = self.forward_features(x) 2025-09-07T06:54:21.5761253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5761329Z x = self.blocks(x) 2025-09-07T06:54:21.5761584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T06:54:21.5761660Z x = self.conv_dw(x) 2025-09-07T06:54:21.5761895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5761971Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5761975Z 2025-09-07T06:54:21.5762063Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5762186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5762402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5762484Z return mod(*inputs) 2025-09-07T06:54:21.5762714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5762796Z x = self.forward_features(x) 2025-09-07T06:54:21.5763062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5763136Z x = self.blocks(x) 2025-09-07T06:54:21.5763394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5763463Z x = self.se(x) 2025-09-07T06:54:21.5763707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T06:54:21.5763802Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T06:54:21.5763806Z 2025-09-07T06:54:21.5763922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5764152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5764222Z return mod(*inputs) 2025-09-07T06:54:21.5764506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5764583Z x = self.forward_features(x) 2025-09-07T06:54:21.5764837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5764918Z x = self.blocks(x) 2025-09-07T06:54:21.5765163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5765238Z x = self.se(x) 2025-09-07T06:54:21.5765482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T06:54:21.5765564Z x_se = self.conv_reduce(x_se) 2025-09-07T06:54:21.5765568Z 2025-09-07T06:54:21.5765688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5765911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5765992Z return mod(*inputs) 2025-09-07T06:54:21.5766231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5766310Z x = self.forward_features(x) 2025-09-07T06:54:21.5766605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5766678Z x = self.blocks(x) 2025-09-07T06:54:21.5766934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5767002Z x = self.se(x) 2025-09-07T06:54:21.5767255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T06:54:21.5767339Z x_se = self.act1(x_se) 2025-09-07T06:54:21.5767343Z 2025-09-07T06:54:21.5767454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5767679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5767754Z return mod(*inputs) 2025-09-07T06:54:21.5768064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5768152Z x = self.forward_features(x) 2025-09-07T06:54:21.5768414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5768495Z x = self.blocks(x) 2025-09-07T06:54:21.5768740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5768814Z x = self.se(x) 2025-09-07T06:54:21.5769058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T06:54:21.5769141Z x_se = self.conv_expand(x_se) 2025-09-07T06:54:21.5769145Z 2025-09-07T06:54:21.5769268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5769485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5769566Z return mod(*inputs) 2025-09-07T06:54:21.5769796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5769878Z x = self.forward_features(x) 2025-09-07T06:54:21.5770145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5770215Z x = self.blocks(x) 2025-09-07T06:54:21.5770473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5770542Z x = self.se(x) 2025-09-07T06:54:21.5770794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5770875Z return x * self.gate(x_se) 2025-09-07T06:54:21.5770879Z 2025-09-07T06:54:21.5771027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5771246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5771317Z return mod(*inputs) 2025-09-07T06:54:21.5771556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5771634Z x = self.forward_features(x) 2025-09-07T06:54:21.5771889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5771968Z x = self.blocks(x) 2025-09-07T06:54:21.5772213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T06:54:21.5772287Z x = self.se(x) 2025-09-07T06:54:21.5772529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T06:54:21.5772609Z return x * self.gate(x_se) 2025-09-07T06:54:21.5772612Z 2025-09-07T06:54:21.5772708Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5772818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5773043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5773159Z return mod(*inputs) 2025-09-07T06:54:21.5773392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5773476Z x = self.forward_features(x) 2025-09-07T06:54:21.5773731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5773812Z x = self.blocks(x) 2025-09-07T06:54:21.5774055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5774137Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5774366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5774482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5774730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5774847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5774850Z 2025-09-07T06:54:21.5774945Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5775057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5775271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5775356Z return mod(*inputs) 2025-09-07T06:54:21.5775587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5775672Z x = self.forward_features(x) 2025-09-07T06:54:21.5775930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5776001Z x = self.blocks(x) 2025-09-07T06:54:21.5776255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5776332Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5776566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T06:54:21.5776680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5776915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T06:54:21.5777036Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T06:54:21.5777039Z 2025-09-07T06:54:21.5777128Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5777223Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5777370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5777595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5777667Z return mod(*inputs) 2025-09-07T06:54:21.5777901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5777987Z x = self.forward_features(x) 2025-09-07T06:54:21.5778242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5778318Z x = self.blocks(x) 2025-09-07T06:54:21.5778566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T06:54:21.5778641Z x = self.conv_pwl(x) 2025-09-07T06:54:21.5778876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T06:54:21.5778950Z x = torch.cat(x_out, 1) 2025-09-07T06:54:21.5778957Z 2025-09-07T06:54:21.5779076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5779291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5779363Z return mod(*inputs) 2025-09-07T06:54:21.5779632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5779713Z x = self.forward_features(x) 2025-09-07T06:54:21.5779979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T06:54:21.5780050Z x = self.blocks(x) 2025-09-07T06:54:21.5780297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T06:54:21.5780386Z x = self.drop_path(x) + shortcut 2025-09-07T06:54:21.5780390Z 2025-09-07T06:54:21.5780501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5780727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5780800Z return mod(*inputs) 2025-09-07T06:54:21.5781040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T06:54:21.5781122Z x = self.forward_features(x) 2025-09-07T06:54:21.5781382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-09-07T06:54:21.5781467Z x = self.conv_head(x) 2025-09-07T06:54:21.5781470Z 2025-09-07T06:54:21.5781557Z cudagraph partition due to non gpu ops 2025-09-07T06:54:21.5781679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5781891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5781962Z return mod(*inputs) 2025-09-07T06:54:21.5782207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T06:54:21.5782289Z x = self.forward_head(x) 2025-09-07T06:54:21.5782547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T06:54:21.5782625Z x = self.global_pool(x) 2025-09-07T06:54:21.5782884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T06:54:21.5782965Z x = self.pool(x) 2025-09-07T06:54:21.5782969Z 2025-09-07T06:54:21.5783080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T06:54:21.5783303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T06:54:21.5783374Z return mod(*inputs) 2025-09-07T06:54:21.5783615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T06:54:21.5783694Z x = self.forward_head(x) 2025-09-07T06:54:21.5783985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-09-07T06:54:21.5784108Z return x if pre_logits else self.classifier(x) 2025-09-07T06:54:21.5784112Z 2025-09-07T06:54:50.8547683Z Compilation time (from dynamo_timed): 60.704772602 2025-09-07T06:54:50.8553307Z pass 2025-09-07T06:54:50.8556533Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T06:54:50.8562345Z TIMING: _recursive_pre_grad_passes:0.01186 _recursive_joint_graph_passes:0.21822 _recursive_post_grad_passes:0.16033 async_compile.wait:0.97974 code_gen:27.62505 inductor_compile:34.16418 backend_compile:49.76876 gc:0.00126 entire_frame_compile:60.70477 total_wall_time:60.70477 2025-09-07T06:54:50.8563804Z STATS: call_* op count: 521 | FakeTensorMode.__torch_dispatch__:20142 | attempt fast:194 | fast is_contiguous:194 | FakeTensor.__torch_dispatch__:8769 | ProxyTorchDispatchMode.__torch_dispatch__:7333 2025-09-07T06:54:50.8564549Z Dynamo produced 1 graphs covering 521 ops with 0 graph breaks (0 unique) 2025-09-07T06:54:55.7718523Z /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. 2025-09-07T06:54:55.7719590Z import pynvml # type: ignore[import] 2025-09-07T06:54:58.7541354Z 2025-09-07T06:54:58.8792683Z loading model: 0it [00:00, ?it/s] 2025-09-07T06:54:58.8792935Z 2025-09-07T06:54:58.9354541Z model.safetensors: 0% 0.00/17.7M [00:00 2025-09-07T07:19:14.9541127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9541321Z 2025-09-07T07:19:14.9541414Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9541692Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9542126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9542542Z return mod(*inputs) 2025-09-07T07:19:14.9542903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9543296Z x = self.forward_features(x) 2025-09-07T07:19:14.9543702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9544110Z x = self.blocks(x) 2025-09-07T07:19:14.9544478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9544885Z x = self.conv_pw(x) 2025-09-07T07:19:14.9545231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9545668Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9546330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9546760Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9546954Z 2025-09-07T07:19:14.9547045Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9547295Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9547566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9547967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9548337Z return mod(*inputs) 2025-09-07T07:19:14.9552247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9552638Z x = self.forward_features(x) 2025-09-07T07:19:14.9553037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9553458Z x = self.blocks(x) 2025-09-07T07:19:14.9553888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9554300Z x = self.conv_pw(x) 2025-09-07T07:19:14.9554650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9555037Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9555179Z 2025-09-07T07:19:14.9555301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9555719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9556156Z return mod(*inputs) 2025-09-07T07:19:14.9556519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9556907Z x = self.forward_features(x) 2025-09-07T07:19:14.9557307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9557708Z x = self.blocks(x) 2025-09-07T07:19:14.9558075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9558478Z x = self.bn1(x) 2025-09-07T07:19:14.9558814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9559172Z x = self.act(x) 2025-09-07T07:19:14.9559277Z 2025-09-07T07:19:14.9559395Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9559795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9560161Z return mod(*inputs) 2025-09-07T07:19:14.9560511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9560902Z x = self.forward_features(x) 2025-09-07T07:19:14.9561335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9561745Z x = self.blocks(x) 2025-09-07T07:19:14.9562112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9562503Z x = self.conv_dw(x) 2025-09-07T07:19:14.9562847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9563264Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9563693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9564142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9564558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9564919Z return conv2d_same( 2025-09-07T07:19:14.9565284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:14.9565714Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:14.9566118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:14.9566598Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:14.9567043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:14.9567440Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:14.9567715Z 2025-09-07T07:19:14.9567832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9568343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9568705Z return mod(*inputs) 2025-09-07T07:19:14.9569088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9569535Z x = self.forward_features(x) 2025-09-07T07:19:14.9569952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9570348Z x = self.blocks(x) 2025-09-07T07:19:14.9570709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9571266Z x = self.conv_dw(x) 2025-09-07T07:19:14.9571638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9572092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9572516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9572950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9573361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9573724Z return conv2d_same( 2025-09-07T07:19:14.9574101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:14.9574570Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:14.9574774Z 2025-09-07T07:19:14.9574902Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9575309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9575737Z return mod(*inputs) 2025-09-07T07:19:14.9576090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9576482Z x = self.forward_features(x) 2025-09-07T07:19:14.9576934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9577337Z x = self.blocks(x) 2025-09-07T07:19:14.9577698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9578098Z x = self.conv_dw(x) 2025-09-07T07:19:14.9578444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9578856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9579275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9579694Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9580103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9580468Z return conv2d_same( 2025-09-07T07:19:14.9580828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:14.9581256Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:14.9581667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:14.9582130Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:14.9582564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:14.9582956Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:14.9583125Z 2025-09-07T07:19:14.9583246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9583731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9584223Z return mod(*inputs) 2025-09-07T07:19:14.9584587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9585029Z x = self.forward_features(x) 2025-09-07T07:19:14.9585444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9585904Z x = self.blocks(x) 2025-09-07T07:19:14.9586284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9586675Z x = self.conv_dw(x) 2025-09-07T07:19:14.9587017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9587441Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9587911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9588334Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9588744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9589109Z return conv2d_same( 2025-09-07T07:19:14.9589475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:14.9589933Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:14.9590136Z 2025-09-07T07:19:14.9590262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9590677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9591038Z return mod(*inputs) 2025-09-07T07:19:14.9591402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9591792Z x = self.forward_features(x) 2025-09-07T07:19:14.9592196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9592625Z x = self.blocks(x) 2025-09-07T07:19:14.9593003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9593401Z x = self.conv_dw(x) 2025-09-07T07:19:14.9593745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9594162Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9594580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9595006Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9595421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9595800Z return conv2d_same( 2025-09-07T07:19:14.9596152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:14.9596585Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:14.9596993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:14.9597474Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:14.9597908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:14.9598296Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:14.9598475Z 2025-09-07T07:19:14.9598592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9599042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9599433Z return mod(*inputs) 2025-09-07T07:19:14.9599795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9600179Z x = self.forward_features(x) 2025-09-07T07:19:14.9600606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9601017Z x = self.blocks(x) 2025-09-07T07:19:14.9601391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9601786Z x = self.conv_dw(x) 2025-09-07T07:19:14.9602135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9602550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9603003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9603439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9603846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9604214Z return conv2d_same( 2025-09-07T07:19:14.9604571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:14.9605029Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:14.9605229Z 2025-09-07T07:19:14.9605326Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9605592Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9605838Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9606111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9606522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9606899Z return mod(*inputs) 2025-09-07T07:19:14.9607278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9607676Z x = self.forward_features(x) 2025-09-07T07:19:14.9608200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9609150Z x = self.blocks(x) 2025-09-07T07:19:14.9609790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9610223Z x = self.conv_dw(x) 2025-09-07T07:19:14.9610603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9611001Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9611175Z 2025-09-07T07:19:14.9611331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9611855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9612249Z return mod(*inputs) 2025-09-07T07:19:14.9612633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9613036Z x = self.forward_features(x) 2025-09-07T07:19:14.9613466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9613876Z x = self.blocks(x) 2025-09-07T07:19:14.9614256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:19:14.9614657Z x = self.bn2(x) 2025-09-07T07:19:14.9614998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9615374Z x = self.act(x) 2025-09-07T07:19:14.9615478Z 2025-09-07T07:19:14.9615617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9616194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9616567Z return mod(*inputs) 2025-09-07T07:19:14.9616943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9617382Z x = self.forward_features(x) 2025-09-07T07:19:14.9617799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9618217Z x = self.blocks(x) 2025-09-07T07:19:14.9618580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9618998Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9619379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9619822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9620281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9620718Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9620903Z 2025-09-07T07:19:14.9621024Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9621441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9621816Z return mod(*inputs) 2025-09-07T07:19:14.9622185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9622585Z x = self.forward_features(x) 2025-09-07T07:19:14.9623017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9623425Z x = self.blocks(x) 2025-09-07T07:19:14.9623794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9624246Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9624621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9625094Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9625530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9625958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9626146Z 2025-09-07T07:19:14.9626242Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9626495Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9626766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9627173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9627550Z return mod(*inputs) 2025-09-07T07:19:14.9627934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9628330Z x = self.forward_features(x) 2025-09-07T07:19:14.9628729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9629125Z x = self.blocks(x) 2025-09-07T07:19:14.9629498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9629896Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9630250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9630618Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9630752Z 2025-09-07T07:19:14.9630869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9631286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9631683Z return mod(*inputs) 2025-09-07T07:19:14.9632038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9632414Z x = self.forward_features(x) 2025-09-07T07:19:14.9632840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9633259Z x = self.blocks(x) 2025-09-07T07:19:14.9633629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:19:14.9634025Z x = self.bn3(x) 2025-09-07T07:19:14.9634356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:14.9634716Z x = F.batch_norm( 2025-09-07T07:19:14.9634850Z 2025-09-07T07:19:14.9634977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9635388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9635779Z return mod(*inputs) 2025-09-07T07:19:14.9636141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9636522Z x = self.forward_features(x) 2025-09-07T07:19:14.9636924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9637332Z x = self.blocks(x) 2025-09-07T07:19:14.9637703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9638105Z x = self.conv_pw(x) 2025-09-07T07:19:14.9638462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9638885Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9639311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9639752Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9639935Z 2025-09-07T07:19:14.9640053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9640484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9640867Z return mod(*inputs) 2025-09-07T07:19:14.9641216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9641606Z x = self.forward_features(x) 2025-09-07T07:19:14.9642006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9642410Z x = self.blocks(x) 2025-09-07T07:19:14.9642775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9643178Z x = self.conv_pw(x) 2025-09-07T07:19:14.9643527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9643963Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9644389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9644807Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9644997Z 2025-09-07T07:19:14.9645089Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9645333Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9645602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9646170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9646563Z return mod(*inputs) 2025-09-07T07:19:14.9646928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9647472Z x = self.forward_features(x) 2025-09-07T07:19:14.9647880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9648388Z x = self.blocks(x) 2025-09-07T07:19:14.9648816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9649218Z x = self.conv_pw(x) 2025-09-07T07:19:14.9649568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9649933Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9650073Z 2025-09-07T07:19:14.9650187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9650589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9650952Z return mod(*inputs) 2025-09-07T07:19:14.9651344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9651725Z x = self.forward_features(x) 2025-09-07T07:19:14.9652133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9652533Z x = self.blocks(x) 2025-09-07T07:19:14.9652904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9653283Z x = self.bn1(x) 2025-09-07T07:19:14.9653616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9653974Z x = self.act(x) 2025-09-07T07:19:14.9654082Z 2025-09-07T07:19:14.9654206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9654608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9654970Z return mod(*inputs) 2025-09-07T07:19:14.9655326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9655710Z x = self.forward_features(x) 2025-09-07T07:19:14.9656143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9656537Z x = self.blocks(x) 2025-09-07T07:19:14.9656910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9657305Z x = self.conv_dw(x) 2025-09-07T07:19:14.9657417Z 2025-09-07T07:19:14.9657542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9657939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9658293Z return mod(*inputs) 2025-09-07T07:19:14.9658648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9659034Z x = self.forward_features(x) 2025-09-07T07:19:14.9659431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9659827Z x = self.blocks(x) 2025-09-07T07:19:14.9660198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:19:14.9660590Z x = self.bn2(x) 2025-09-07T07:19:14.9660922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9661276Z x = self.act(x) 2025-09-07T07:19:14.9661380Z 2025-09-07T07:19:14.9661494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9661900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9662277Z return mod(*inputs) 2025-09-07T07:19:14.9662632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9663046Z x = self.forward_features(x) 2025-09-07T07:19:14.9663447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9663858Z x = self.blocks(x) 2025-09-07T07:19:14.9664246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9664646Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9664998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9665410Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9665841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9666271Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9666473Z 2025-09-07T07:19:14.9666594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9666981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9667338Z return mod(*inputs) 2025-09-07T07:19:14.9667698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9668183Z x = self.forward_features(x) 2025-09-07T07:19:14.9668586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9668999Z x = self.blocks(x) 2025-09-07T07:19:14.9669368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9669782Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9670146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9670568Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9671001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9671429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9671643Z 2025-09-07T07:19:14.9671750Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9671987Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9672264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9672661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9673028Z return mod(*inputs) 2025-09-07T07:19:14.9673393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9673771Z x = self.forward_features(x) 2025-09-07T07:19:14.9674174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9674586Z x = self.blocks(x) 2025-09-07T07:19:14.9674958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9675350Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9675709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9676090Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9676217Z 2025-09-07T07:19:14.9676353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9676750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9677103Z return mod(*inputs) 2025-09-07T07:19:14.9677456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9677836Z x = self.forward_features(x) 2025-09-07T07:19:14.9678270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9678667Z x = self.blocks(x) 2025-09-07T07:19:14.9679046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:14.9679452Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:14.9679619Z 2025-09-07T07:19:14.9679751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9680148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9680520Z return mod(*inputs) 2025-09-07T07:19:14.9680876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9681262Z x = self.forward_features(x) 2025-09-07T07:19:14.9681657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9682080Z x = self.blocks(x) 2025-09-07T07:19:14.9682448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9682844Z x = self.conv_pw(x) 2025-09-07T07:19:14.9682956Z 2025-09-07T07:19:14.9683081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9683481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9683832Z return mod(*inputs) 2025-09-07T07:19:14.9684192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9684572Z x = self.forward_features(x) 2025-09-07T07:19:14.9684964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9685366Z x = self.blocks(x) 2025-09-07T07:19:14.9685740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9686133Z x = self.bn1(x) 2025-09-07T07:19:14.9686466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:14.9686824Z x = F.batch_norm( 2025-09-07T07:19:14.9686957Z 2025-09-07T07:19:14.9687073Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9687472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9687849Z return mod(*inputs) 2025-09-07T07:19:14.9688330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9688713Z x = self.forward_features(x) 2025-09-07T07:19:14.9689117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9689527Z x = self.blocks(x) 2025-09-07T07:19:14.9689912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9690308Z x = self.bn1(x) 2025-09-07T07:19:14.9690641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9691003Z x = self.act(x) 2025-09-07T07:19:14.9691119Z 2025-09-07T07:19:14.9691239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9691644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9691995Z return mod(*inputs) 2025-09-07T07:19:14.9692356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9692744Z x = self.forward_features(x) 2025-09-07T07:19:14.9693149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9693592Z x = self.blocks(x) 2025-09-07T07:19:14.9693954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9694346Z x = self.conv_dw(x) 2025-09-07T07:19:14.9694694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9695156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9695580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9696007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9696418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9696785Z return conv2d_same( 2025-09-07T07:19:14.9697145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:14.9697602Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:14.9698011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:14.9698482Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:14.9698931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:14.9699327Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:14.9699499Z 2025-09-07T07:19:14.9699619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9700023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9700385Z return mod(*inputs) 2025-09-07T07:19:14.9700743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9701123Z x = self.forward_features(x) 2025-09-07T07:19:14.9701523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9701925Z x = self.blocks(x) 2025-09-07T07:19:14.9702343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9702737Z x = self.conv_dw(x) 2025-09-07T07:19:14.9703081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9703497Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9703915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9704340Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9704737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9705106Z return conv2d_same( 2025-09-07T07:19:14.9705458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:14.9705925Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:14.9706131Z 2025-09-07T07:19:14.9706258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9706648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9707030Z return mod(*inputs) 2025-09-07T07:19:14.9707386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9707777Z x = self.forward_features(x) 2025-09-07T07:19:14.9708178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9708582Z x = self.blocks(x) 2025-09-07T07:19:14.9708992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9709395Z x = self.conv_dw(x) 2025-09-07T07:19:14.9711936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9712485Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9712924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9713376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9713789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9714162Z return conv2d_same( 2025-09-07T07:19:14.9714517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:14.9714972Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:14.9715373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:14.9715831Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:14.9716266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:14.9716700Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:14.9716879Z 2025-09-07T07:19:14.9717000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9717407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9717771Z return mod(*inputs) 2025-09-07T07:19:14.9718125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9718517Z x = self.forward_features(x) 2025-09-07T07:19:14.9718919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9719325Z x = self.blocks(x) 2025-09-07T07:19:14.9719701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9720128Z x = self.conv_dw(x) 2025-09-07T07:19:14.9720485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9720901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9721320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9721738Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9722145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9722518Z return conv2d_same( 2025-09-07T07:19:14.9722876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:14.9723336Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:14.9723538Z 2025-09-07T07:19:14.9723659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9724060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9724593Z return mod(*inputs) 2025-09-07T07:19:14.9724960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9725344Z x = self.forward_features(x) 2025-09-07T07:19:14.9725755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9726158Z x = self.blocks(x) 2025-09-07T07:19:14.9726537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9726986Z x = self.conv_dw(x) 2025-09-07T07:19:14.9727329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9727748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9728263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9728702Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9729111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9729471Z return conv2d_same( 2025-09-07T07:19:14.9729831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:14.9730262Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:14.9730695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:14.9731161Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:14.9731605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:14.9732009Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:14.9732182Z 2025-09-07T07:19:14.9732308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9732730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9733109Z return mod(*inputs) 2025-09-07T07:19:14.9733477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9733869Z x = self.forward_features(x) 2025-09-07T07:19:14.9734273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9734687Z x = self.blocks(x) 2025-09-07T07:19:14.9735055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9735456Z x = self.conv_dw(x) 2025-09-07T07:19:14.9735880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9736298Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9736736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9737169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9737571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9737938Z return conv2d_same( 2025-09-07T07:19:14.9738310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:14.9738764Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:14.9738972Z 2025-09-07T07:19:14.9739090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9739509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9739879Z return mod(*inputs) 2025-09-07T07:19:14.9740226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9740614Z x = self.forward_features(x) 2025-09-07T07:19:14.9741014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9741420Z x = self.blocks(x) 2025-09-07T07:19:14.9741792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9742210Z x = self.conv_dw(x) 2025-09-07T07:19:14.9742563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9742976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9743420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9743846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9744248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9744620Z return conv2d_same( 2025-09-07T07:19:14.9744980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:14.9745411Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:14.9746017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:14.9746586Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:14.9747025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:14.9747423Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:14.9747599Z 2025-09-07T07:19:14.9747728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9748127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9748516Z return mod(*inputs) 2025-09-07T07:19:14.9748876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9749269Z x = self.forward_features(x) 2025-09-07T07:19:14.9749662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9750067Z x = self.blocks(x) 2025-09-07T07:19:14.9750439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9750840Z x = self.conv_dw(x) 2025-09-07T07:19:14.9751231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9751638Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9752063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9752482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9752887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9753256Z return conv2d_same( 2025-09-07T07:19:14.9753604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:14.9754062Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:14.9754267Z 2025-09-07T07:19:14.9754360Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9754606Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9754844Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9755081Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9755341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9755738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9756099Z return mod(*inputs) 2025-09-07T07:19:14.9756453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9756835Z x = self.forward_features(x) 2025-09-07T07:19:14.9757238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9757685Z x = self.blocks(x) 2025-09-07T07:19:14.9758045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9758458Z x = self.conv_dw(x) 2025-09-07T07:19:14.9758833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9759210Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9759336Z 2025-09-07T07:19:14.9759465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9759862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9760224Z return mod(*inputs) 2025-09-07T07:19:14.9760581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9760964Z x = self.forward_features(x) 2025-09-07T07:19:14.9761350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9761800Z x = self.blocks(x) 2025-09-07T07:19:14.9762172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:19:14.9762572Z x = self.bn2(x) 2025-09-07T07:19:14.9762902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:14.9763261Z x = F.batch_norm( 2025-09-07T07:19:14.9763380Z 2025-09-07T07:19:14.9763494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9763897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9764281Z return mod(*inputs) 2025-09-07T07:19:14.9764630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9765033Z x = self.forward_features(x) 2025-09-07T07:19:14.9765436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9765846Z x = self.blocks(x) 2025-09-07T07:19:14.9766235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T07:19:14.9766634Z x = self.bn2(x) 2025-09-07T07:19:14.9766975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9767330Z x = self.act(x) 2025-09-07T07:19:14.9767432Z 2025-09-07T07:19:14.9767553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9768067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9768455Z return mod(*inputs) 2025-09-07T07:19:14.9768815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9769203Z x = self.forward_features(x) 2025-09-07T07:19:14.9769608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9770007Z x = self.blocks(x) 2025-09-07T07:19:14.9770375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9770777Z x = self.se(x) 2025-09-07T07:19:14.9771138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:14.9771535Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:14.9771685Z 2025-09-07T07:19:14.9771801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9772199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9772576Z return mod(*inputs) 2025-09-07T07:19:14.9772930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9773370Z x = self.forward_features(x) 2025-09-07T07:19:14.9773765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9774160Z x = self.blocks(x) 2025-09-07T07:19:14.9774554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9774962Z x = self.se(x) 2025-09-07T07:19:14.9775448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:14.9775898Z x_se = self.act1(x_se) 2025-09-07T07:19:14.9776023Z 2025-09-07T07:19:14.9776148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9776551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9776901Z return mod(*inputs) 2025-09-07T07:19:14.9777284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9777667Z x = self.forward_features(x) 2025-09-07T07:19:14.9778066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9778455Z x = self.blocks(x) 2025-09-07T07:19:14.9778850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9779243Z x = self.se(x) 2025-09-07T07:19:14.9779595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:14.9779996Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:14.9780136Z 2025-09-07T07:19:14.9780251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9780646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9781006Z return mod(*inputs) 2025-09-07T07:19:14.9781370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9781744Z x = self.forward_features(x) 2025-09-07T07:19:14.9782166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9782563Z x = self.blocks(x) 2025-09-07T07:19:14.9782931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9783322Z x = self.se(x) 2025-09-07T07:19:14.9783668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:14.9784064Z return x * self.gate(x_se) 2025-09-07T07:19:14.9784202Z 2025-09-07T07:19:14.9784316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9784713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9785067Z return mod(*inputs) 2025-09-07T07:19:14.9785419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9785801Z x = self.forward_features(x) 2025-09-07T07:19:14.9809940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9810623Z x = self.blocks(x) 2025-09-07T07:19:14.9811031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9811444Z x = self.se(x) 2025-09-07T07:19:14.9811824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:14.9812237Z return x * self.gate(x_se) 2025-09-07T07:19:14.9812373Z 2025-09-07T07:19:14.9812506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9813069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9813450Z return mod(*inputs) 2025-09-07T07:19:14.9813827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9814227Z x = self.forward_features(x) 2025-09-07T07:19:14.9814667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9815075Z x = self.blocks(x) 2025-09-07T07:19:14.9815452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9815856Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9815982Z 2025-09-07T07:19:14.9816106Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9816518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9816938Z return mod(*inputs) 2025-09-07T07:19:14.9817315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9817714Z x = self.forward_features(x) 2025-09-07T07:19:14.9818118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9818522Z x = self.blocks(x) 2025-09-07T07:19:14.9818898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:19:14.9819293Z x = self.bn3(x) 2025-09-07T07:19:14.9819631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:14.9820003Z x = F.batch_norm( 2025-09-07T07:19:14.9820122Z 2025-09-07T07:19:14.9820241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9820653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9821025Z return mod(*inputs) 2025-09-07T07:19:14.9821380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9821774Z x = self.forward_features(x) 2025-09-07T07:19:14.9822208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9822613Z x = self.blocks(x) 2025-09-07T07:19:14.9822975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9823372Z x = self.conv_pw(x) 2025-09-07T07:19:14.9823726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9824158Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9824597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9825026Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9825213Z 2025-09-07T07:19:14.9825334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9825745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9826115Z return mod(*inputs) 2025-09-07T07:19:14.9826474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9826855Z x = self.forward_features(x) 2025-09-07T07:19:14.9827256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9827661Z x = self.blocks(x) 2025-09-07T07:19:14.9828030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9828449Z x = self.conv_pw(x) 2025-09-07T07:19:14.9828801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9829219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9829671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9830101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9830278Z 2025-09-07T07:19:14.9830375Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9830632Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9830904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9831309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9831662Z return mod(*inputs) 2025-09-07T07:19:14.9832024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9832436Z x = self.forward_features(x) 2025-09-07T07:19:14.9832829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9833227Z x = self.blocks(x) 2025-09-07T07:19:14.9833595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9833988Z x = self.conv_pw(x) 2025-09-07T07:19:14.9834335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9834712Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9834838Z 2025-09-07T07:19:14.9834957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9835374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9835738Z return mod(*inputs) 2025-09-07T07:19:14.9836093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9836473Z x = self.forward_features(x) 2025-09-07T07:19:14.9836858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9837298Z x = self.blocks(x) 2025-09-07T07:19:14.9837672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9838067Z x = self.bn1(x) 2025-09-07T07:19:14.9838408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:14.9838777Z x = F.batch_norm( 2025-09-07T07:19:14.9838902Z 2025-09-07T07:19:14.9839023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9839431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9839823Z return mod(*inputs) 2025-09-07T07:19:14.9840177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9840576Z x = self.forward_features(x) 2025-09-07T07:19:14.9840981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9841389Z x = self.blocks(x) 2025-09-07T07:19:14.9841763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9842161Z x = self.bn1(x) 2025-09-07T07:19:14.9842505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9842872Z x = self.act(x) 2025-09-07T07:19:14.9843004Z 2025-09-07T07:19:14.9843138Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9843431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9843900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9844259Z return mod(*inputs) 2025-09-07T07:19:14.9844615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9844990Z x = self.forward_features(x) 2025-09-07T07:19:14.9845413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9846000Z x = self.blocks(x) 2025-09-07T07:19:14.9846376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9846774Z x = self.conv_dw(x) 2025-09-07T07:19:14.9847113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9847536Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9848022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9848590Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9848765Z 2025-09-07T07:19:14.9848859Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9849136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9849537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9849899Z return mod(*inputs) 2025-09-07T07:19:14.9850255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9850631Z x = self.forward_features(x) 2025-09-07T07:19:14.9851029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9851429Z x = self.blocks(x) 2025-09-07T07:19:14.9851800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9852191Z x = self.conv_dw(x) 2025-09-07T07:19:14.9852537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9852998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9853425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9853848Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9854025Z 2025-09-07T07:19:14.9854118Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9854363Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9854635Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9855038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9855413Z return mod(*inputs) 2025-09-07T07:19:14.9855774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9856158Z x = self.forward_features(x) 2025-09-07T07:19:14.9856560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9856960Z x = self.blocks(x) 2025-09-07T07:19:14.9857319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9857714Z x = self.conv_dw(x) 2025-09-07T07:19:14.9858061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9858430Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9858555Z 2025-09-07T07:19:14.9858646Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9858915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9859302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9859724Z return mod(*inputs) 2025-09-07T07:19:14.9860075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9860454Z x = self.forward_features(x) 2025-09-07T07:19:14.9860883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9861298Z x = self.blocks(x) 2025-09-07T07:19:14.9861668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9862047Z x = self.se(x) 2025-09-07T07:19:14.9862411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:14.9862822Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:14.9862971Z 2025-09-07T07:19:14.9863098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9863534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9863893Z return mod(*inputs) 2025-09-07T07:19:14.9864251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9864650Z x = self.forward_features(x) 2025-09-07T07:19:14.9865056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9865449Z x = self.blocks(x) 2025-09-07T07:19:14.9865815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9866202Z x = self.se(x) 2025-09-07T07:19:14.9866559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:14.9866956Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:14.9867101Z 2025-09-07T07:19:14.9867224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9867624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9867982Z return mod(*inputs) 2025-09-07T07:19:14.9868366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9868754Z x = self.forward_features(x) 2025-09-07T07:19:14.9869140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9869538Z x = self.blocks(x) 2025-09-07T07:19:14.9869903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9870286Z x = self.se(x) 2025-09-07T07:19:14.9870633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:14.9871036Z x_se = self.act1(x_se) 2025-09-07T07:19:14.9871168Z 2025-09-07T07:19:14.9871287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9871689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9872051Z return mod(*inputs) 2025-09-07T07:19:14.9872398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9872782Z x = self.forward_features(x) 2025-09-07T07:19:14.9873178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9873574Z x = self.blocks(x) 2025-09-07T07:19:14.9873930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9874319Z x = self.se(x) 2025-09-07T07:19:14.9874670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:14.9875105Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:14.9875243Z 2025-09-07T07:19:14.9875367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9875755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9876152Z return mod(*inputs) 2025-09-07T07:19:14.9876507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9876895Z x = self.forward_features(x) 2025-09-07T07:19:14.9877284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9877688Z x = self.blocks(x) 2025-09-07T07:19:14.9878052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9878435Z x = self.se(x) 2025-09-07T07:19:14.9878827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:14.9879224Z return x * self.gate(x_se) 2025-09-07T07:19:14.9879361Z 2025-09-07T07:19:14.9879477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9879882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9880252Z return mod(*inputs) 2025-09-07T07:19:14.9880602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9880989Z x = self.forward_features(x) 2025-09-07T07:19:14.9881381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9881777Z x = self.blocks(x) 2025-09-07T07:19:14.9882144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9882524Z x = self.se(x) 2025-09-07T07:19:14.9882879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:14.9883271Z return x * self.gate(x_se) 2025-09-07T07:19:14.9883400Z 2025-09-07T07:19:14.9883532Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9883798Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9884201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9884569Z return mod(*inputs) 2025-09-07T07:19:14.9884933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9885319Z x = self.forward_features(x) 2025-09-07T07:19:14.9885712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9886113Z x = self.blocks(x) 2025-09-07T07:19:14.9886485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9886882Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9887238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9887663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9888200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9888645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9888824Z 2025-09-07T07:19:14.9888926Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9889188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9889586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9889953Z return mod(*inputs) 2025-09-07T07:19:14.9890356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9890733Z x = self.forward_features(x) 2025-09-07T07:19:14.9891137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9891534Z x = self.blocks(x) 2025-09-07T07:19:14.9891926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9892316Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9892664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9893081Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9893504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9893925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9894128Z 2025-09-07T07:19:14.9894228Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9894462Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9894730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9895136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9895529Z return mod(*inputs) 2025-09-07T07:19:14.9895896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9896296Z x = self.forward_features(x) 2025-09-07T07:19:14.9896694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9897119Z x = self.blocks(x) 2025-09-07T07:19:14.9897479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9897877Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9898230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9898614Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9898741Z 2025-09-07T07:19:14.9898893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9899321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9899707Z return mod(*inputs) 2025-09-07T07:19:14.9900071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9900483Z x = self.forward_features(x) 2025-09-07T07:19:14.9900874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9901300Z x = self.blocks(x) 2025-09-07T07:19:14.9901667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:14.9902071Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:14.9902216Z 2025-09-07T07:19:14.9902339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9902766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9903151Z return mod(*inputs) 2025-09-07T07:19:14.9903523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9903926Z x = self.forward_features(x) 2025-09-07T07:19:14.9904341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9904755Z x = self.blocks(x) 2025-09-07T07:19:14.9905123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9905524Z x = self.conv_pw(x) 2025-09-07T07:19:14.9905903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9906316Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9906749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9907198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9907376Z 2025-09-07T07:19:14.9908118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9908516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9908867Z return mod(*inputs) 2025-09-07T07:19:14.9909224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9909610Z x = self.forward_features(x) 2025-09-07T07:19:14.9910001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9910425Z x = self.blocks(x) 2025-09-07T07:19:14.9910783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9911173Z x = self.conv_pw(x) 2025-09-07T07:19:14.9911522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9911929Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9912343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9912765Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9912946Z 2025-09-07T07:19:14.9913039Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9913283Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9913553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9913950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9914308Z return mod(*inputs) 2025-09-07T07:19:14.9914691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9915078Z x = self.forward_features(x) 2025-09-07T07:19:14.9915469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9915870Z x = self.blocks(x) 2025-09-07T07:19:14.9916237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9916624Z x = self.conv_pw(x) 2025-09-07T07:19:14.9916977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9917337Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9917473Z 2025-09-07T07:19:14.9917593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9917989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9918351Z return mod(*inputs) 2025-09-07T07:19:14.9918706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9919081Z x = self.forward_features(x) 2025-09-07T07:19:14.9919478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9919875Z x = self.blocks(x) 2025-09-07T07:19:14.9920237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9920614Z x = self.bn1(x) 2025-09-07T07:19:14.9920948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:14.9921334Z x = F.batch_norm( 2025-09-07T07:19:14.9921445Z 2025-09-07T07:19:14.9921569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9921965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9922312Z return mod(*inputs) 2025-09-07T07:19:14.9922700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9923085Z x = self.forward_features(x) 2025-09-07T07:19:14.9923483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9923874Z x = self.blocks(x) 2025-09-07T07:19:14.9924243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9924630Z x = self.bn1(x) 2025-09-07T07:19:14.9924965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9925337Z x = self.act(x) 2025-09-07T07:19:14.9925449Z 2025-09-07T07:19:14.9925540Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9925809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9926205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9926561Z return mod(*inputs) 2025-09-07T07:19:14.9926908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9927289Z x = self.forward_features(x) 2025-09-07T07:19:14.9927688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9928188Z x = self.blocks(x) 2025-09-07T07:19:14.9928566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9928960Z x = self.conv_dw(x) 2025-09-07T07:19:14.9929307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9929730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9930187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9930611Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9930798Z 2025-09-07T07:19:14.9930891Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9931164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9931564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9931638Z return mod(*inputs) 2025-09-07T07:19:14.9931884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9931967Z x = self.forward_features(x) 2025-09-07T07:19:14.9932230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9932310Z x = self.blocks(x) 2025-09-07T07:19:14.9932562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9932643Z x = self.conv_dw(x) 2025-09-07T07:19:14.9932874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9932989Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9933236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9933349Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9933353Z 2025-09-07T07:19:14.9933452Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9933570Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9933689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9933914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9933988Z return mod(*inputs) 2025-09-07T07:19:14.9934248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9934331Z x = self.forward_features(x) 2025-09-07T07:19:14.9934588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9934669Z x = self.blocks(x) 2025-09-07T07:19:14.9934920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9935003Z x = self.conv_dw(x) 2025-09-07T07:19:14.9935232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9935343Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9935347Z 2025-09-07T07:19:14.9935437Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9935553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9935783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9935856Z return mod(*inputs) 2025-09-07T07:19:14.9936115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9936193Z x = self.forward_features(x) 2025-09-07T07:19:14.9936471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9936543Z x = self.blocks(x) 2025-09-07T07:19:14.9936790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9936867Z x = self.se(x) 2025-09-07T07:19:14.9937116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:14.9937211Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:14.9937215Z 2025-09-07T07:19:14.9937330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9937590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9937674Z return mod(*inputs) 2025-09-07T07:19:14.9937908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9937996Z x = self.forward_features(x) 2025-09-07T07:19:14.9938262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9938351Z x = self.blocks(x) 2025-09-07T07:19:14.9938614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9938694Z x = self.se(x) 2025-09-07T07:19:14.9938941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:14.9939020Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:14.9939024Z 2025-09-07T07:19:14.9939143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9939377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9939449Z return mod(*inputs) 2025-09-07T07:19:14.9939689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9939766Z x = self.forward_features(x) 2025-09-07T07:19:14.9940041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9940114Z x = self.blocks(x) 2025-09-07T07:19:14.9940365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9940485Z x = self.se(x) 2025-09-07T07:19:14.9940729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:14.9940815Z x_se = self.act1(x_se) 2025-09-07T07:19:14.9940821Z 2025-09-07T07:19:14.9940953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9941172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9941252Z return mod(*inputs) 2025-09-07T07:19:14.9941484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9941571Z x = self.forward_features(x) 2025-09-07T07:19:14.9941835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9941927Z x = self.blocks(x) 2025-09-07T07:19:14.9942183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9942251Z x = self.se(x) 2025-09-07T07:19:14.9942508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:14.9942590Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:14.9942594Z 2025-09-07T07:19:14.9942715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9942958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9943031Z return mod(*inputs) 2025-09-07T07:19:14.9943277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9943354Z x = self.forward_features(x) 2025-09-07T07:19:14.9943626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9943701Z x = self.blocks(x) 2025-09-07T07:19:14.9943947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9944022Z x = self.se(x) 2025-09-07T07:19:14.9944303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:14.9944392Z return x * self.gate(x_se) 2025-09-07T07:19:14.9944396Z 2025-09-07T07:19:14.9944510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9944745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9944824Z return mod(*inputs) 2025-09-07T07:19:14.9945053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9945138Z x = self.forward_features(x) 2025-09-07T07:19:14.9945397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9945475Z x = self.blocks(x) 2025-09-07T07:19:14.9945997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9946093Z x = self.se(x) 2025-09-07T07:19:14.9946348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:14.9946425Z return x * self.gate(x_se) 2025-09-07T07:19:14.9946430Z 2025-09-07T07:19:14.9946526Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9946639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9946850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9946932Z return mod(*inputs) 2025-09-07T07:19:14.9947159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9947315Z x = self.forward_features(x) 2025-09-07T07:19:14.9947565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9947632Z x = self.blocks(x) 2025-09-07T07:19:14.9947920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9947997Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9948227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9948345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9948579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9948706Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9948709Z 2025-09-07T07:19:14.9948829Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9948951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9949162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9949241Z return mod(*inputs) 2025-09-07T07:19:14.9949471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9949548Z x = self.forward_features(x) 2025-09-07T07:19:14.9949805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9949874Z x = self.blocks(x) 2025-09-07T07:19:14.9950123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9950196Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9950417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9950544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9950776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9950928Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9950932Z 2025-09-07T07:19:14.9951020Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9951104Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9951226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9951436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9951515Z return mod(*inputs) 2025-09-07T07:19:14.9951737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9951814Z x = self.forward_features(x) 2025-09-07T07:19:14.9952070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9952143Z x = self.blocks(x) 2025-09-07T07:19:14.9952390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9952465Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9952698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9952775Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9952779Z 2025-09-07T07:19:14.9952891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9953115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9953188Z return mod(*inputs) 2025-09-07T07:19:14.9953431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9953509Z x = self.forward_features(x) 2025-09-07T07:19:14.9953853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9953930Z x = self.blocks(x) 2025-09-07T07:19:14.9954171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:14.9954275Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:14.9954279Z 2025-09-07T07:19:14.9954388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9954598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9954677Z return mod(*inputs) 2025-09-07T07:19:14.9954900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9954982Z x = self.forward_features(x) 2025-09-07T07:19:14.9955228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9955320Z x = self.blocks(x) 2025-09-07T07:19:14.9955569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9955642Z x = self.conv_pw(x) 2025-09-07T07:19:14.9955878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9955989Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9956235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9956346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9956349Z 2025-09-07T07:19:14.9956462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9956695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9956768Z return mod(*inputs) 2025-09-07T07:19:14.9957005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9957081Z x = self.forward_features(x) 2025-09-07T07:19:14.9957361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9957441Z x = self.blocks(x) 2025-09-07T07:19:14.9957682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9957761Z x = self.conv_pw(x) 2025-09-07T07:19:14.9957980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9958091Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9958331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9958442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9958445Z 2025-09-07T07:19:14.9958541Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9958627Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9958744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9958961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9959031Z return mod(*inputs) 2025-09-07T07:19:14.9959272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9959350Z x = self.forward_features(x) 2025-09-07T07:19:14.9959613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9959682Z x = self.blocks(x) 2025-09-07T07:19:14.9959926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9960030Z x = self.conv_pw(x) 2025-09-07T07:19:14.9960251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9960332Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9960335Z 2025-09-07T07:19:14.9960451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9960681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9960761Z return mod(*inputs) 2025-09-07T07:19:14.9960994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9961084Z x = self.forward_features(x) 2025-09-07T07:19:14.9961336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9961408Z x = self.blocks(x) 2025-09-07T07:19:14.9961668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9961755Z x = self.bn1(x) 2025-09-07T07:19:14.9961981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:14.9962053Z x = F.batch_norm( 2025-09-07T07:19:14.9962058Z 2025-09-07T07:19:14.9962185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9962403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9962474Z return mod(*inputs) 2025-09-07T07:19:14.9962722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9962801Z x = self.forward_features(x) 2025-09-07T07:19:14.9963068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9963140Z x = self.blocks(x) 2025-09-07T07:19:14.9963392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9963469Z x = self.bn1(x) 2025-09-07T07:19:14.9963690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9963787Z x = self.act(x) 2025-09-07T07:19:14.9963793Z 2025-09-07T07:19:14.9963886Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9963999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9964221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9964292Z return mod(*inputs) 2025-09-07T07:19:14.9964531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9964609Z x = self.forward_features(x) 2025-09-07T07:19:14.9964863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9964945Z x = self.blocks(x) 2025-09-07T07:19:14.9965198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9965274Z x = self.conv_dw(x) 2025-09-07T07:19:14.9965495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9965614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9965852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9965967Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9965970Z 2025-09-07T07:19:14.9966067Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9966184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9966408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9966504Z return mod(*inputs) 2025-09-07T07:19:14.9966740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9966827Z x = self.forward_features(x) 2025-09-07T07:19:14.9967127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9967210Z x = self.blocks(x) 2025-09-07T07:19:14.9967458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9967530Z x = self.conv_dw(x) 2025-09-07T07:19:14.9967763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9967876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9968191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9968340Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9968345Z 2025-09-07T07:19:14.9968442Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9968532Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9968649Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9968876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9968949Z return mod(*inputs) 2025-09-07T07:19:14.9969190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9969269Z x = self.forward_features(x) 2025-09-07T07:19:14.9969526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9969608Z x = self.blocks(x) 2025-09-07T07:19:14.9969862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9969945Z x = self.conv_dw(x) 2025-09-07T07:19:14.9970172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9970272Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9970277Z 2025-09-07T07:19:14.9970378Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9970493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9970719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9970795Z return mod(*inputs) 2025-09-07T07:19:14.9971028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9971114Z x = self.forward_features(x) 2025-09-07T07:19:14.9971370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9971451Z x = self.blocks(x) 2025-09-07T07:19:14.9971694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9971763Z x = self.se(x) 2025-09-07T07:19:14.9972019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:14.9972105Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:14.9972109Z 2025-09-07T07:19:14.9972232Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9972447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9972525Z return mod(*inputs) 2025-09-07T07:19:14.9972758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9972836Z x = self.forward_features(x) 2025-09-07T07:19:14.9973128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9973198Z x = self.blocks(x) 2025-09-07T07:19:14.9973451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9973521Z x = self.se(x) 2025-09-07T07:19:14.9973784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:14.9973876Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:14.9973880Z 2025-09-07T07:19:14.9973993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9974214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9974286Z return mod(*inputs) 2025-09-07T07:19:14.9974518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9974625Z x = self.forward_features(x) 2025-09-07T07:19:14.9974883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9974959Z x = self.blocks(x) 2025-09-07T07:19:14.9975209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9975286Z x = self.se(x) 2025-09-07T07:19:14.9975534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:14.9975613Z x_se = self.act1(x_se) 2025-09-07T07:19:14.9975617Z 2025-09-07T07:19:14.9975739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9975955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9976035Z return mod(*inputs) 2025-09-07T07:19:14.9976269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9976352Z x = self.forward_features(x) 2025-09-07T07:19:14.9976618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9976690Z x = self.blocks(x) 2025-09-07T07:19:14.9976980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9977052Z x = self.se(x) 2025-09-07T07:19:14.9977297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:14.9977399Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:14.9977403Z 2025-09-07T07:19:14.9977514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9977732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9977802Z return mod(*inputs) 2025-09-07T07:19:14.9978030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9978116Z x = self.forward_features(x) 2025-09-07T07:19:14.9978368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9978443Z x = self.blocks(x) 2025-09-07T07:19:14.9978683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9978757Z x = self.se(x) 2025-09-07T07:19:14.9978995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:14.9979072Z return x * self.gate(x_se) 2025-09-07T07:19:14.9979076Z 2025-09-07T07:19:14.9979192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9979399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9979505Z return mod(*inputs) 2025-09-07T07:19:14.9979731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9979806Z x = self.forward_features(x) 2025-09-07T07:19:14.9980086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9980156Z x = self.blocks(x) 2025-09-07T07:19:14.9980401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:14.9980467Z x = self.se(x) 2025-09-07T07:19:14.9980702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:14.9980786Z return x * self.gate(x_se) 2025-09-07T07:19:14.9980790Z 2025-09-07T07:19:14.9980876Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9980993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9981221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9981292Z return mod(*inputs) 2025-09-07T07:19:14.9981527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9981604Z x = self.forward_features(x) 2025-09-07T07:19:14.9981867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9981935Z x = self.blocks(x) 2025-09-07T07:19:14.9982182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9982255Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9982479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9982604Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9982841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9982962Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9982966Z 2025-09-07T07:19:14.9983076Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9983190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9983412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9983485Z return mod(*inputs) 2025-09-07T07:19:14.9983723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9983800Z x = self.forward_features(x) 2025-09-07T07:19:14.9984062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9984139Z x = self.blocks(x) 2025-09-07T07:19:14.9984384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9984464Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9984684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9984795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9985033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9985141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9985144Z 2025-09-07T07:19:14.9985239Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9985323Z cudagraph partition due to non gpu ops 2025-09-07T07:19:14.9985442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9985647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9985742Z return mod(*inputs) 2025-09-07T07:19:14.9985982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9986058Z x = self.forward_features(x) 2025-09-07T07:19:14.9986325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9986412Z x = self.blocks(x) 2025-09-07T07:19:14.9986653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:14.9986732Z x = self.conv_pwl(x) 2025-09-07T07:19:14.9986954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:14.9987034Z x = torch.cat(x_out, 1) 2025-09-07T07:19:14.9987038Z 2025-09-07T07:19:14.9987148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9987356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9987456Z return mod(*inputs) 2025-09-07T07:19:14.9987678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9987761Z x = self.forward_features(x) 2025-09-07T07:19:14.9988010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9988087Z x = self.blocks(x) 2025-09-07T07:19:14.9988323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:14.9988404Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:14.9988408Z 2025-09-07T07:19:14.9988525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9988732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9988811Z return mod(*inputs) 2025-09-07T07:19:14.9989038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9989113Z x = self.forward_features(x) 2025-09-07T07:19:14.9989388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9989459Z x = self.blocks(x) 2025-09-07T07:19:14.9989710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:14.9989781Z x = self.conv_pw(x) 2025-09-07T07:19:14.9989785Z 2025-09-07T07:19:14.9989899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9990118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9990188Z return mod(*inputs) 2025-09-07T07:19:14.9990422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9990504Z x = self.forward_features(x) 2025-09-07T07:19:14.9990753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9990847Z x = self.blocks(x) 2025-09-07T07:19:14.9991093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9991168Z x = self.bn1(x) 2025-09-07T07:19:14.9991387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:14.9991463Z x = F.batch_norm( 2025-09-07T07:19:14.9991467Z 2025-09-07T07:19:14.9991576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9991785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9991866Z return mod(*inputs) 2025-09-07T07:19:14.9992100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9992211Z x = self.forward_features(x) 2025-09-07T07:19:14.9992466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9992537Z x = self.blocks(x) 2025-09-07T07:19:14.9992822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:14.9992892Z x = self.bn1(x) 2025-09-07T07:19:14.9993125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:14.9993205Z x = self.act(x) 2025-09-07T07:19:14.9993208Z 2025-09-07T07:19:14.9993318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9993533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9993603Z return mod(*inputs) 2025-09-07T07:19:14.9993871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9993949Z x = self.forward_features(x) 2025-09-07T07:19:14.9994206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9994286Z x = self.blocks(x) 2025-09-07T07:19:14.9994534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9994613Z x = self.conv_dw(x) 2025-09-07T07:19:14.9994841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9994965Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9995204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9995320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9995559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9995632Z return conv2d_same( 2025-09-07T07:19:14.9995897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:14.9996020Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:14.9996253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:14.9996434Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:14.9996653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:14.9996774Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:14.9996778Z 2025-09-07T07:19:14.9996894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:14.9997125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:14.9997199Z return mod(*inputs) 2025-09-07T07:19:14.9997434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:14.9997523Z x = self.forward_features(x) 2025-09-07T07:19:14.9997806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:14.9997885Z x = self.blocks(x) 2025-09-07T07:19:14.9998141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:14.9998212Z x = self.conv_dw(x) 2025-09-07T07:19:14.9998449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:14.9998564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9998850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:14.9998964Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:14.9999214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:14.9999293Z return conv2d_same( 2025-09-07T07:19:14.9999571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:14.9999733Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:14.9999737Z 2025-09-07T07:19:14.9999851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0000075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0000150Z return mod(*inputs) 2025-09-07T07:19:15.0000404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0000523Z x = self.forward_features(x) 2025-09-07T07:19:15.0000803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0000880Z x = self.blocks(x) 2025-09-07T07:19:15.0001149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0001219Z x = self.conv_dw(x) 2025-09-07T07:19:15.0001457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0001572Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0001822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0001935Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0002166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0002247Z return conv2d_same( 2025-09-07T07:19:15.0002508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:15.0002656Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:15.0002903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:15.0003063Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:15.0003281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:15.0003392Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:15.0003397Z 2025-09-07T07:19:15.0003520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0003738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0003821Z return mod(*inputs) 2025-09-07T07:19:15.0004067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0004147Z x = self.forward_features(x) 2025-09-07T07:19:15.0004449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0004521Z x = self.blocks(x) 2025-09-07T07:19:15.0004780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0004851Z x = self.conv_dw(x) 2025-09-07T07:19:15.0005077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0005199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0005433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0005577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0005817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0005893Z return conv2d_same( 2025-09-07T07:19:15.0006167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:15.0006316Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:15.0006320Z 2025-09-07T07:19:15.0006445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0006664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0006743Z return mod(*inputs) 2025-09-07T07:19:15.0006986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0007084Z x = self.forward_features(x) 2025-09-07T07:19:15.0007352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0007424Z x = self.blocks(x) 2025-09-07T07:19:15.0007692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0007767Z x = self.conv_dw(x) 2025-09-07T07:19:15.0008077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0008212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0008454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0008578Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0008806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0008883Z return conv2d_same( 2025-09-07T07:19:15.0009131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:15.0009244Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:15.0009505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:15.0009665Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:15.0009885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:15.0009996Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:15.0010001Z 2025-09-07T07:19:15.0010116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0010348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0010425Z return mod(*inputs) 2025-09-07T07:19:15.0010667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0010747Z x = self.forward_features(x) 2025-09-07T07:19:15.0011007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0011093Z x = self.blocks(x) 2025-09-07T07:19:15.0011346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0011427Z x = self.conv_dw(x) 2025-09-07T07:19:15.0011654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0011770Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0012017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0012159Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0012392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0012465Z return conv2d_same( 2025-09-07T07:19:15.0012727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:15.0012874Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:15.0012878Z 2025-09-07T07:19:15.0012970Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0013069Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0013155Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0013278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0013498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0013571Z return mod(*inputs) 2025-09-07T07:19:15.0013839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0013918Z x = self.forward_features(x) 2025-09-07T07:19:15.0014182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0014253Z x = self.blocks(x) 2025-09-07T07:19:15.0014504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0014584Z x = self.conv_dw(x) 2025-09-07T07:19:15.0014811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0014892Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0014896Z 2025-09-07T07:19:15.0014986Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0015099Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0015327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0015400Z return mod(*inputs) 2025-09-07T07:19:15.0015638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0015738Z x = self.forward_features(x) 2025-09-07T07:19:15.0016004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0016077Z x = self.blocks(x) 2025-09-07T07:19:15.0016324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0016402Z x = self.se(x) 2025-09-07T07:19:15.0016651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0016744Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0016748Z 2025-09-07T07:19:15.0016860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0017082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0017162Z return mod(*inputs) 2025-09-07T07:19:15.0017396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0017486Z x = self.forward_features(x) 2025-09-07T07:19:15.0017752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0017822Z x = self.blocks(x) 2025-09-07T07:19:15.0018070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0018138Z x = self.se(x) 2025-09-07T07:19:15.0018384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0018464Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0018494Z 2025-09-07T07:19:15.0018616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0018826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0018897Z return mod(*inputs) 2025-09-07T07:19:15.0019948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0020032Z x = self.forward_features(x) 2025-09-07T07:19:15.0020309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0020381Z x = self.blocks(x) 2025-09-07T07:19:15.0020629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0020707Z x = self.se(x) 2025-09-07T07:19:15.0020954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0021066Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0021070Z 2025-09-07T07:19:15.0021185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0021421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0021506Z return mod(*inputs) 2025-09-07T07:19:15.0021745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0021832Z x = self.forward_features(x) 2025-09-07T07:19:15.0022100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0022171Z x = self.blocks(x) 2025-09-07T07:19:15.0022429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0022498Z x = self.se(x) 2025-09-07T07:19:15.0022755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0022840Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0022844Z 2025-09-07T07:19:15.0022965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0023227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0023305Z return mod(*inputs) 2025-09-07T07:19:15.0023549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0023626Z x = self.forward_features(x) 2025-09-07T07:19:15.0023893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0023964Z x = self.blocks(x) 2025-09-07T07:19:15.0024212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0024289Z x = self.se(x) 2025-09-07T07:19:15.0024538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0024627Z return x * self.gate(x_se) 2025-09-07T07:19:15.0024631Z 2025-09-07T07:19:15.0024745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0024983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0025064Z return mod(*inputs) 2025-09-07T07:19:15.0025296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0025381Z x = self.forward_features(x) 2025-09-07T07:19:15.0025637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0025709Z x = self.blocks(x) 2025-09-07T07:19:15.0025964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0026054Z x = self.se(x) 2025-09-07T07:19:15.0026312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0026390Z return x * self.gate(x_se) 2025-09-07T07:19:15.0026394Z 2025-09-07T07:19:15.0026517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0026778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0026853Z return mod(*inputs) 2025-09-07T07:19:15.0027106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0027184Z x = self.forward_features(x) 2025-09-07T07:19:15.0027457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0027530Z x = self.blocks(x) 2025-09-07T07:19:15.0027781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0027888Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0027892Z 2025-09-07T07:19:15.0028005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0028228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0028303Z return mod(*inputs) 2025-09-07T07:19:15.0028535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0028621Z x = self.forward_features(x) 2025-09-07T07:19:15.0028877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0028955Z x = self.blocks(x) 2025-09-07T07:19:15.0029203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:19:15.0029276Z x = self.bn3(x) 2025-09-07T07:19:15.0029503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0029574Z x = F.batch_norm( 2025-09-07T07:19:15.0029578Z 2025-09-07T07:19:15.0029700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0029936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0030018Z return mod(*inputs) 2025-09-07T07:19:15.0030250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0030329Z x = self.forward_features(x) 2025-09-07T07:19:15.0030592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0030661Z x = self.blocks(x) 2025-09-07T07:19:15.0030914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0030989Z x = self.conv_pw(x) 2025-09-07T07:19:15.0031216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0031343Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0031587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0031713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0031716Z 2025-09-07T07:19:15.0031829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0032043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0032122Z return mod(*inputs) 2025-09-07T07:19:15.0032352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0032437Z x = self.forward_features(x) 2025-09-07T07:19:15.0032720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0032797Z x = self.blocks(x) 2025-09-07T07:19:15.0033049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0033121Z x = self.conv_pw(x) 2025-09-07T07:19:15.0033378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0033494Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0033738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0033853Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0033857Z 2025-09-07T07:19:15.0033946Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0034042Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0034179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0034402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0034473Z return mod(*inputs) 2025-09-07T07:19:15.0034710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0034792Z x = self.forward_features(x) 2025-09-07T07:19:15.0035047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0035130Z x = self.blocks(x) 2025-09-07T07:19:15.0035378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0035450Z x = self.conv_pw(x) 2025-09-07T07:19:15.0035684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0035763Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0035767Z 2025-09-07T07:19:15.0035889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0036103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0036207Z return mod(*inputs) 2025-09-07T07:19:15.0036444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0036522Z x = self.forward_features(x) 2025-09-07T07:19:15.0036786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0036859Z x = self.blocks(x) 2025-09-07T07:19:15.0037114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0037182Z x = self.bn1(x) 2025-09-07T07:19:15.0037402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0037485Z x = F.batch_norm( 2025-09-07T07:19:15.0037489Z 2025-09-07T07:19:15.0037601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0037825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0037898Z return mod(*inputs) 2025-09-07T07:19:15.0038132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0038218Z x = self.forward_features(x) 2025-09-07T07:19:15.0038473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0038553Z x = self.blocks(x) 2025-09-07T07:19:15.0038799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0038869Z x = self.bn1(x) 2025-09-07T07:19:15.0039119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0039189Z x = self.act(x) 2025-09-07T07:19:15.0039193Z 2025-09-07T07:19:15.0039290Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0039403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0039645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0039720Z return mod(*inputs) 2025-09-07T07:19:15.0039955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0040040Z x = self.forward_features(x) 2025-09-07T07:19:15.0040298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0040374Z x = self.blocks(x) 2025-09-07T07:19:15.0040623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0040719Z x = self.conv_dw(x) 2025-09-07T07:19:15.0040955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0041072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0041324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0041441Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0041445Z 2025-09-07T07:19:15.0041535Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0041656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0041873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0041953Z return mod(*inputs) 2025-09-07T07:19:15.0042187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0042270Z x = self.forward_features(x) 2025-09-07T07:19:15.0042542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0042614Z x = self.blocks(x) 2025-09-07T07:19:15.0042894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0042968Z x = self.conv_dw(x) 2025-09-07T07:19:15.0043203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0043320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0043557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0043679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0043683Z 2025-09-07T07:19:15.0043776Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0043900Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0044120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0044193Z return mod(*inputs) 2025-09-07T07:19:15.0044436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0044516Z x = self.forward_features(x) 2025-09-07T07:19:15.0044778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0044849Z x = self.blocks(x) 2025-09-07T07:19:15.0045097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0045178Z x = self.conv_dw(x) 2025-09-07T07:19:15.0045405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0045556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0046033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0046159Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0046167Z 2025-09-07T07:19:15.0046335Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0046452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0046677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0046750Z return mod(*inputs) 2025-09-07T07:19:15.0046989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0047067Z x = self.forward_features(x) 2025-09-07T07:19:15.0047322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0047438Z x = self.blocks(x) 2025-09-07T07:19:15.0047692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0047773Z x = self.conv_dw(x) 2025-09-07T07:19:15.0048095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0048216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0048465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0048577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0048581Z 2025-09-07T07:19:15.0048677Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0048767Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0048853Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0048944Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0049064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0049292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0049366Z return mod(*inputs) 2025-09-07T07:19:15.0049634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0049724Z x = self.forward_features(x) 2025-09-07T07:19:15.0049984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0050067Z x = self.blocks(x) 2025-09-07T07:19:15.0050317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0050398Z x = self.conv_dw(x) 2025-09-07T07:19:15.0050626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0050706Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0050710Z 2025-09-07T07:19:15.0050805Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0050918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0051145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0051219Z return mod(*inputs) 2025-09-07T07:19:15.0051451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0051539Z x = self.forward_features(x) 2025-09-07T07:19:15.0051793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0051871Z x = self.blocks(x) 2025-09-07T07:19:15.0052121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0052191Z x = self.se(x) 2025-09-07T07:19:15.0052500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0052586Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0052590Z 2025-09-07T07:19:15.0052710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0052961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0053037Z return mod(*inputs) 2025-09-07T07:19:15.0053281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0053360Z x = self.forward_features(x) 2025-09-07T07:19:15.0053629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0053699Z x = self.blocks(x) 2025-09-07T07:19:15.0053958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0054052Z x = self.se(x) 2025-09-07T07:19:15.0054301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0054391Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0054395Z 2025-09-07T07:19:15.0054514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0054740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0054813Z return mod(*inputs) 2025-09-07T07:19:15.0055046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0055133Z x = self.forward_features(x) 2025-09-07T07:19:15.0055390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0055468Z x = self.blocks(x) 2025-09-07T07:19:15.0055715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0055787Z x = self.se(x) 2025-09-07T07:19:15.0056044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0056121Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0056182Z 2025-09-07T07:19:15.0056308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0056525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0056606Z return mod(*inputs) 2025-09-07T07:19:15.0056839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0056917Z x = self.forward_features(x) 2025-09-07T07:19:15.0057179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0057251Z x = self.blocks(x) 2025-09-07T07:19:15.0057507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0057574Z x = self.se(x) 2025-09-07T07:19:15.0057819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0057910Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0057914Z 2025-09-07T07:19:15.0058027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0058249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0058322Z return mod(*inputs) 2025-09-07T07:19:15.0058555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0058643Z x = self.forward_features(x) 2025-09-07T07:19:15.0058895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0058995Z x = self.blocks(x) 2025-09-07T07:19:15.0059261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0059330Z x = self.se(x) 2025-09-07T07:19:15.0059658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0059759Z return x * self.gate(x_se) 2025-09-07T07:19:15.0059763Z 2025-09-07T07:19:15.0059888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0060147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0060226Z return mod(*inputs) 2025-09-07T07:19:15.0060474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0060562Z x = self.forward_features(x) 2025-09-07T07:19:15.0060843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0060941Z x = self.blocks(x) 2025-09-07T07:19:15.0061202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0061272Z x = self.se(x) 2025-09-07T07:19:15.0061534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0061616Z return x * self.gate(x_se) 2025-09-07T07:19:15.0061620Z 2025-09-07T07:19:15.0061715Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0061829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0062066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0062149Z return mod(*inputs) 2025-09-07T07:19:15.0062394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0062480Z x = self.forward_features(x) 2025-09-07T07:19:15.0062745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0062814Z x = self.blocks(x) 2025-09-07T07:19:15.0063089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0063168Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0063404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0063525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0063773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0063889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0063893Z 2025-09-07T07:19:15.0063986Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0064109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0064327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0064408Z return mod(*inputs) 2025-09-07T07:19:15.0064654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0064734Z x = self.forward_features(x) 2025-09-07T07:19:15.0065010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0065083Z x = self.blocks(x) 2025-09-07T07:19:15.0065344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0065420Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0065651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0065845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0066084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0066205Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0066210Z 2025-09-07T07:19:15.0066317Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0066414Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0066529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0066754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0066836Z return mod(*inputs) 2025-09-07T07:19:15.0067079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0067165Z x = self.forward_features(x) 2025-09-07T07:19:15.0067434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0067529Z x = self.blocks(x) 2025-09-07T07:19:15.0067788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0067866Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0068104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0068180Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0068184Z 2025-09-07T07:19:15.0068298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0068537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0068606Z return mod(*inputs) 2025-09-07T07:19:15.0068851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0068933Z x = self.forward_features(x) 2025-09-07T07:19:15.0069201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0069273Z x = self.blocks(x) 2025-09-07T07:19:15.0069541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0069637Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0069641Z 2025-09-07T07:19:15.0069756Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0070000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0070079Z return mod(*inputs) 2025-09-07T07:19:15.0070313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0070399Z x = self.forward_features(x) 2025-09-07T07:19:15.0070656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0070732Z x = self.blocks(x) 2025-09-07T07:19:15.0070980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0071057Z x = self.conv_pw(x) 2025-09-07T07:19:15.0071299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0071415Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0071664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0071777Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0071781Z 2025-09-07T07:19:15.0071901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0072117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0072211Z return mod(*inputs) 2025-09-07T07:19:15.0072454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0072535Z x = self.forward_features(x) 2025-09-07T07:19:15.0072798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0072885Z x = self.blocks(x) 2025-09-07T07:19:15.0073136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0073215Z x = self.conv_pw(x) 2025-09-07T07:19:15.0073440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0073560Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0073796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0073932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0073936Z 2025-09-07T07:19:15.0074033Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0074120Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0074239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0074462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0074535Z return mod(*inputs) 2025-09-07T07:19:15.0074780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0074861Z x = self.forward_features(x) 2025-09-07T07:19:15.0075128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0075199Z x = self.blocks(x) 2025-09-07T07:19:15.0075473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0075550Z x = self.conv_pw(x) 2025-09-07T07:19:15.0075779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0075862Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0075866Z 2025-09-07T07:19:15.0076007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0076237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0076309Z return mod(*inputs) 2025-09-07T07:19:15.0076547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0076636Z x = self.forward_features(x) 2025-09-07T07:19:15.0076900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0076983Z x = self.blocks(x) 2025-09-07T07:19:15.0077244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0077317Z x = self.bn1(x) 2025-09-07T07:19:15.0077549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0077620Z x = F.batch_norm( 2025-09-07T07:19:15.0077625Z 2025-09-07T07:19:15.0077749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0077969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0078045Z return mod(*inputs) 2025-09-07T07:19:15.0078285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0078365Z x = self.forward_features(x) 2025-09-07T07:19:15.0078637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0078707Z x = self.blocks(x) 2025-09-07T07:19:15.0078987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0079056Z x = self.bn1(x) 2025-09-07T07:19:15.0079278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0079358Z x = self.act(x) 2025-09-07T07:19:15.0079362Z 2025-09-07T07:19:15.0079467Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0079590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0079806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0079879Z return mod(*inputs) 2025-09-07T07:19:15.0080117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0080200Z x = self.forward_features(x) 2025-09-07T07:19:15.0080466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0080561Z x = self.blocks(x) 2025-09-07T07:19:15.0080812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0080896Z x = self.conv_dw(x) 2025-09-07T07:19:15.0081129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0081256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0081500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0081616Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0081627Z 2025-09-07T07:19:15.0081717Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0081831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0082062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0082138Z return mod(*inputs) 2025-09-07T07:19:15.0082381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0082461Z x = self.forward_features(x) 2025-09-07T07:19:15.0082751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0082834Z x = self.blocks(x) 2025-09-07T07:19:15.0083087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0083168Z x = self.conv_dw(x) 2025-09-07T07:19:15.0083398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0083516Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0083770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0083888Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0083892Z 2025-09-07T07:19:15.0083990Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0084108Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0084335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0084416Z return mod(*inputs) 2025-09-07T07:19:15.0084650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0084738Z x = self.forward_features(x) 2025-09-07T07:19:15.0084997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0085070Z x = self.blocks(x) 2025-09-07T07:19:15.0085329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0085427Z x = self.conv_dw(x) 2025-09-07T07:19:15.0085664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0085779Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0086047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0086164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0086167Z 2025-09-07T07:19:15.0086259Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0086380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0086599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0086679Z return mod(*inputs) 2025-09-07T07:19:15.0086925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0087026Z x = self.forward_features(x) 2025-09-07T07:19:15.0087296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0087369Z x = self.blocks(x) 2025-09-07T07:19:15.0087630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0087704Z x = self.conv_dw(x) 2025-09-07T07:19:15.0087932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0088135Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0088381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0088503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0088508Z 2025-09-07T07:19:15.0088603Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0088699Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0088788Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0088875Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0088999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0089241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0089324Z return mod(*inputs) 2025-09-07T07:19:15.0089564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0089643Z x = self.forward_features(x) 2025-09-07T07:19:15.0089912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0089986Z x = self.blocks(x) 2025-09-07T07:19:15.0090244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0090321Z x = self.conv_dw(x) 2025-09-07T07:19:15.0090551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0090635Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0090640Z 2025-09-07T07:19:15.0090729Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0090857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0091075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0091151Z return mod(*inputs) 2025-09-07T07:19:15.0091389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0091468Z x = self.forward_features(x) 2025-09-07T07:19:15.0091737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0091810Z x = self.blocks(x) 2025-09-07T07:19:15.0092083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0092163Z x = self.se(x) 2025-09-07T07:19:15.0092415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0092529Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0092534Z 2025-09-07T07:19:15.0092652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0092886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0092963Z return mod(*inputs) 2025-09-07T07:19:15.0093199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0093287Z x = self.forward_features(x) 2025-09-07T07:19:15.0093546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0093649Z x = self.blocks(x) 2025-09-07T07:19:15.0093907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0093998Z x = self.se(x) 2025-09-07T07:19:15.0094267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0094349Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0094353Z 2025-09-07T07:19:15.0094476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0094700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0094774Z return mod(*inputs) 2025-09-07T07:19:15.0095025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0095103Z x = self.forward_features(x) 2025-09-07T07:19:15.0095375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0095450Z x = self.blocks(x) 2025-09-07T07:19:15.0095709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0095807Z x = self.se(x) 2025-09-07T07:19:15.0096058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0096146Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0096150Z 2025-09-07T07:19:15.0096263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0096489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0096562Z return mod(*inputs) 2025-09-07T07:19:15.0096797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0096885Z x = self.forward_features(x) 2025-09-07T07:19:15.0097143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0097224Z x = self.blocks(x) 2025-09-07T07:19:15.0097478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0097551Z x = self.se(x) 2025-09-07T07:19:15.0097806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0097891Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0097895Z 2025-09-07T07:19:15.0098017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0098241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0098314Z return mod(*inputs) 2025-09-07T07:19:15.0098560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0098664Z x = self.forward_features(x) 2025-09-07T07:19:15.0098928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0099002Z x = self.blocks(x) 2025-09-07T07:19:15.0099278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0099349Z x = self.se(x) 2025-09-07T07:19:15.0099600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0099695Z return x * self.gate(x_se) 2025-09-07T07:19:15.0099699Z 2025-09-07T07:19:15.0099812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0100067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0100143Z return mod(*inputs) 2025-09-07T07:19:15.0100440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0100525Z x = self.forward_features(x) 2025-09-07T07:19:15.0100807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0100889Z x = self.blocks(x) 2025-09-07T07:19:15.0101160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0101229Z x = self.se(x) 2025-09-07T07:19:15.0101496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0101574Z return x * self.gate(x_se) 2025-09-07T07:19:15.0101577Z 2025-09-07T07:19:15.0101673Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0101786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0102036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0102121Z return mod(*inputs) 2025-09-07T07:19:15.0102367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0102454Z x = self.forward_features(x) 2025-09-07T07:19:15.0102758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0102840Z x = self.blocks(x) 2025-09-07T07:19:15.0103101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0103177Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0103429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0103546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0103816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0103938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0103942Z 2025-09-07T07:19:15.0104031Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0104155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0104390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0104474Z return mod(*inputs) 2025-09-07T07:19:15.0104725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0104803Z x = self.forward_features(x) 2025-09-07T07:19:15.0105081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0105151Z x = self.blocks(x) 2025-09-07T07:19:15.0105407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0105516Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0105752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0105879Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0106151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0106278Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0106283Z 2025-09-07T07:19:15.0106374Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0106469Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0106583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0106805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0106888Z return mod(*inputs) 2025-09-07T07:19:15.0107151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0107240Z x = self.forward_features(x) 2025-09-07T07:19:15.0107509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0107584Z x = self.blocks(x) 2025-09-07T07:19:15.0107841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0107917Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0108160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0108238Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0108242Z 2025-09-07T07:19:15.0108358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0108583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0108659Z return mod(*inputs) 2025-09-07T07:19:15.0108909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0108987Z x = self.forward_features(x) 2025-09-07T07:19:15.0109274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0109358Z x = self.blocks(x) 2025-09-07T07:19:15.0109615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0109712Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0109716Z 2025-09-07T07:19:15.0109834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0110078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0110156Z return mod(*inputs) 2025-09-07T07:19:15.0110396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0110490Z x = self.forward_features(x) 2025-09-07T07:19:15.0110756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0110839Z x = self.blocks(x) 2025-09-07T07:19:15.0111097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0111177Z x = self.conv_pw(x) 2025-09-07T07:19:15.0111425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0111545Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0111800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0111920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0111923Z 2025-09-07T07:19:15.0112070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0112288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0112365Z return mod(*inputs) 2025-09-07T07:19:15.0112608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0112704Z x = self.forward_features(x) 2025-09-07T07:19:15.0112973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0113046Z x = self.blocks(x) 2025-09-07T07:19:15.0113295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0113377Z x = self.conv_pw(x) 2025-09-07T07:19:15.0113608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0113728Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0113983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0114096Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0114099Z 2025-09-07T07:19:15.0114204Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0114294Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0114414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0114634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0114706Z return mod(*inputs) 2025-09-07T07:19:15.0114950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0115030Z x = self.forward_features(x) 2025-09-07T07:19:15.0115291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0115364Z x = self.blocks(x) 2025-09-07T07:19:15.0115614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0115695Z x = self.conv_pw(x) 2025-09-07T07:19:15.0116006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0116122Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0116127Z 2025-09-07T07:19:15.0116279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0116605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0116695Z return mod(*inputs) 2025-09-07T07:19:15.0116932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0117021Z x = self.forward_features(x) 2025-09-07T07:19:15.0117290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0117375Z x = self.blocks(x) 2025-09-07T07:19:15.0117640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0117717Z x = self.bn1(x) 2025-09-07T07:19:15.0117950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0118026Z x = F.batch_norm( 2025-09-07T07:19:15.0118030Z 2025-09-07T07:19:15.0118152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0118370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0118443Z return mod(*inputs) 2025-09-07T07:19:15.0118682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0118760Z x = self.forward_features(x) 2025-09-07T07:19:15.0119057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0119126Z x = self.blocks(x) 2025-09-07T07:19:15.0119379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0119457Z x = self.bn1(x) 2025-09-07T07:19:15.0119697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0119781Z x = self.act(x) 2025-09-07T07:19:15.0119785Z 2025-09-07T07:19:15.0119873Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0119995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0120210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0120282Z return mod(*inputs) 2025-09-07T07:19:15.0120519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0120620Z x = self.forward_features(x) 2025-09-07T07:19:15.0120884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0120959Z x = self.blocks(x) 2025-09-07T07:19:15.0121211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0121291Z x = self.conv_dw(x) 2025-09-07T07:19:15.0121527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0121652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0121890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0122005Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0122020Z 2025-09-07T07:19:15.0122108Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0122223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0122448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0122521Z return mod(*inputs) 2025-09-07T07:19:15.0122781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0122862Z x = self.forward_features(x) 2025-09-07T07:19:15.0123119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0123198Z x = self.blocks(x) 2025-09-07T07:19:15.0123449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0123527Z x = self.conv_dw(x) 2025-09-07T07:19:15.0123756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0123875Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0124121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0124233Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0124237Z 2025-09-07T07:19:15.0124345Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0124460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0124679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0124759Z return mod(*inputs) 2025-09-07T07:19:15.0124995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0125080Z x = self.forward_features(x) 2025-09-07T07:19:15.0125333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0125430Z x = self.blocks(x) 2025-09-07T07:19:15.0125684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0125761Z x = self.conv_dw(x) 2025-09-07T07:19:15.0126027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0126143Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0126387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0126498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0126501Z 2025-09-07T07:19:15.0126589Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0126711Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0126929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0127034Z return mod(*inputs) 2025-09-07T07:19:15.0127268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0127349Z x = self.forward_features(x) 2025-09-07T07:19:15.0127615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0127687Z x = self.blocks(x) 2025-09-07T07:19:15.0127945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0128124Z x = self.conv_dw(x) 2025-09-07T07:19:15.0128397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0128521Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0128759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0128885Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0128890Z 2025-09-07T07:19:15.0128982Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0129077Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0129188Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0129280Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0129403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0129623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0129703Z return mod(*inputs) 2025-09-07T07:19:15.0129935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0130014Z x = self.forward_features(x) 2025-09-07T07:19:15.0130284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0130359Z x = self.blocks(x) 2025-09-07T07:19:15.0130616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0130688Z x = self.conv_dw(x) 2025-09-07T07:19:15.0130922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0131005Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0131009Z 2025-09-07T07:19:15.0131096Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0131218Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0131442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0131514Z return mod(*inputs) 2025-09-07T07:19:15.0131755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0131855Z x = self.forward_features(x) 2025-09-07T07:19:15.0132126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0132195Z x = self.blocks(x) 2025-09-07T07:19:15.0132451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0132545Z x = self.se(x) 2025-09-07T07:19:15.0132793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0132886Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0132890Z 2025-09-07T07:19:15.0133004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0133233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0133307Z return mod(*inputs) 2025-09-07T07:19:15.0133537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0133650Z x = self.forward_features(x) 2025-09-07T07:19:15.0133910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0133991Z x = self.blocks(x) 2025-09-07T07:19:15.0134241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0134311Z x = self.se(x) 2025-09-07T07:19:15.0134567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0134646Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0134650Z 2025-09-07T07:19:15.0134774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0134997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0135071Z return mod(*inputs) 2025-09-07T07:19:15.0135316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0135396Z x = self.forward_features(x) 2025-09-07T07:19:15.0135659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0135753Z x = self.blocks(x) 2025-09-07T07:19:15.0136001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0136077Z x = self.se(x) 2025-09-07T07:19:15.0136320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0136407Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0136411Z 2025-09-07T07:19:15.0136526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0136746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0136821Z return mod(*inputs) 2025-09-07T07:19:15.0137052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0137139Z x = self.forward_features(x) 2025-09-07T07:19:15.0137399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0137480Z x = self.blocks(x) 2025-09-07T07:19:15.0137725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0137794Z x = self.se(x) 2025-09-07T07:19:15.0138044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0138125Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0138128Z 2025-09-07T07:19:15.0138251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0138465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0138565Z return mod(*inputs) 2025-09-07T07:19:15.0138807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0138885Z x = self.forward_features(x) 2025-09-07T07:19:15.0139172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0139244Z x = self.blocks(x) 2025-09-07T07:19:15.0139492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0139568Z x = self.se(x) 2025-09-07T07:19:15.0139817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0139907Z return x * self.gate(x_se) 2025-09-07T07:19:15.0139912Z 2025-09-07T07:19:15.0140025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0140270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0140341Z return mod(*inputs) 2025-09-07T07:19:15.0140574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0140663Z x = self.forward_features(x) 2025-09-07T07:19:15.0140919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0140996Z x = self.blocks(x) 2025-09-07T07:19:15.0141243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0141311Z x = self.se(x) 2025-09-07T07:19:15.0141562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0141641Z return x * self.gate(x_se) 2025-09-07T07:19:15.0141648Z 2025-09-07T07:19:15.0141745Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0141858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0142092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0142172Z return mod(*inputs) 2025-09-07T07:19:15.0142425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0142513Z x = self.forward_features(x) 2025-09-07T07:19:15.0142781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0142854Z x = self.blocks(x) 2025-09-07T07:19:15.0143109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0143183Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0143419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0143541Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0143788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0143903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0143907Z 2025-09-07T07:19:15.0143995Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0144116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0144330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0144408Z return mod(*inputs) 2025-09-07T07:19:15.0144646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0144724Z x = self.forward_features(x) 2025-09-07T07:19:15.0144997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0145091Z x = self.blocks(x) 2025-09-07T07:19:15.0145346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0145422Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0145664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0146032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0146278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0146400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0146405Z 2025-09-07T07:19:15.0146493Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0146589Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0146702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0146996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0147077Z return mod(*inputs) 2025-09-07T07:19:15.0147315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0147402Z x = self.forward_features(x) 2025-09-07T07:19:15.0147667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0147739Z x = self.blocks(x) 2025-09-07T07:19:15.0147994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0148071Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0148303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0148379Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0148383Z 2025-09-07T07:19:15.0148500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0148746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0148818Z return mod(*inputs) 2025-09-07T07:19:15.0149096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0149180Z x = self.forward_features(x) 2025-09-07T07:19:15.0149435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0149514Z x = self.blocks(x) 2025-09-07T07:19:15.0149768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0149860Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0149864Z 2025-09-07T07:19:15.0149979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0150223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0150299Z return mod(*inputs) 2025-09-07T07:19:15.0150536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0150624Z x = self.forward_features(x) 2025-09-07T07:19:15.0150897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0150975Z x = self.blocks(x) 2025-09-07T07:19:15.0151227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0151299Z x = self.conv_pw(x) 2025-09-07T07:19:15.0151303Z 2025-09-07T07:19:15.0151424Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0151641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0151724Z return mod(*inputs) 2025-09-07T07:19:15.0152002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0152080Z x = self.forward_features(x) 2025-09-07T07:19:15.0152343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0152415Z x = self.blocks(x) 2025-09-07T07:19:15.0152700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0152777Z x = self.conv_dw(x) 2025-09-07T07:19:15.0152782Z 2025-09-07T07:19:15.0152878Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0152993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0153208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0153288Z return mod(*inputs) 2025-09-07T07:19:15.0153516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0153626Z x = self.forward_features(x) 2025-09-07T07:19:15.0153878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0153950Z x = self.blocks(x) 2025-09-07T07:19:15.0154205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0154274Z x = self.se(x) 2025-09-07T07:19:15.0154527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0154611Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0154615Z 2025-09-07T07:19:15.0154727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0154950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0155028Z return mod(*inputs) 2025-09-07T07:19:15.0155265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0155342Z x = self.forward_features(x) 2025-09-07T07:19:15.0155622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0155705Z x = self.blocks(x) 2025-09-07T07:19:15.0155952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0156031Z x = self.se(x) 2025-09-07T07:19:15.0156279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0156365Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0156378Z 2025-09-07T07:19:15.0156496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0156716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0156803Z return mod(*inputs) 2025-09-07T07:19:15.0157039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0157128Z x = self.forward_features(x) 2025-09-07T07:19:15.0157390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0157465Z x = self.blocks(x) 2025-09-07T07:19:15.0157722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0157795Z x = self.se(x) 2025-09-07T07:19:15.0158051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0158131Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0158136Z 2025-09-07T07:19:15.0158252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0158500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0158571Z return mod(*inputs) 2025-09-07T07:19:15.0158807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0158885Z x = self.forward_features(x) 2025-09-07T07:19:15.0159160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0159240Z x = self.blocks(x) 2025-09-07T07:19:15.0159488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0159563Z x = self.se(x) 2025-09-07T07:19:15.0159809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0159896Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0159900Z 2025-09-07T07:19:15.0160073Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0160288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0160368Z return mod(*inputs) 2025-09-07T07:19:15.0160600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0160686Z x = self.forward_features(x) 2025-09-07T07:19:15.0160937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0161007Z x = self.blocks(x) 2025-09-07T07:19:15.0161262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0161329Z x = self.se(x) 2025-09-07T07:19:15.0161578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0161655Z return x * self.gate(x_se) 2025-09-07T07:19:15.0161662Z 2025-09-07T07:19:15.0161778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0162003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0162080Z return mod(*inputs) 2025-09-07T07:19:15.0162343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0162422Z x = self.forward_features(x) 2025-09-07T07:19:15.0162702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0162779Z x = self.blocks(x) 2025-09-07T07:19:15.0163039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0163117Z x = self.se(x) 2025-09-07T07:19:15.0163367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0163456Z return x * self.gate(x_se) 2025-09-07T07:19:15.0163459Z 2025-09-07T07:19:15.0163575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0163826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0163912Z return mod(*inputs) 2025-09-07T07:19:15.0164159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0164245Z x = self.forward_features(x) 2025-09-07T07:19:15.0164532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0164602Z x = self.blocks(x) 2025-09-07T07:19:15.0164858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0164935Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0164939Z 2025-09-07T07:19:15.0165086Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0165336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0165411Z return mod(*inputs) 2025-09-07T07:19:15.0165663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0165761Z x = self.forward_features(x) 2025-09-07T07:19:15.0166050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0166122Z x = self.blocks(x) 2025-09-07T07:19:15.0166388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:19:15.0166459Z x = self.bn3(x) 2025-09-07T07:19:15.0166703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0166784Z x = F.batch_norm( 2025-09-07T07:19:15.0166809Z 2025-09-07T07:19:15.0166923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0167176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0167259Z return mod(*inputs) 2025-09-07T07:19:15.0167505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0167593Z x = self.forward_features(x) 2025-09-07T07:19:15.0167870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0167949Z x = self.blocks(x) 2025-09-07T07:19:15.0168645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0168726Z x = self.conv_pw(x) 2025-09-07T07:19:15.0168967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0169094Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0169342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0169458Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0169497Z 2025-09-07T07:19:15.0169621Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0169837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0169911Z return mod(*inputs) 2025-09-07T07:19:15.0170169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0170248Z x = self.forward_features(x) 2025-09-07T07:19:15.0170537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0170610Z x = self.blocks(x) 2025-09-07T07:19:15.0170859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0170943Z x = self.conv_pw(x) 2025-09-07T07:19:15.0171171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0171297Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0171545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0171657Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0171660Z 2025-09-07T07:19:15.0171758Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0171847Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0171968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0172184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0172287Z return mod(*inputs) 2025-09-07T07:19:15.0172529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0172611Z x = self.forward_features(x) 2025-09-07T07:19:15.0172895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0172968Z x = self.blocks(x) 2025-09-07T07:19:15.0173215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0173295Z x = self.conv_pw(x) 2025-09-07T07:19:15.0173525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0173610Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0173613Z 2025-09-07T07:19:15.0173727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0173954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0174051Z return mod(*inputs) 2025-09-07T07:19:15.0174283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0174369Z x = self.forward_features(x) 2025-09-07T07:19:15.0174630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0174708Z x = self.blocks(x) 2025-09-07T07:19:15.0174956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0175024Z x = self.bn1(x) 2025-09-07T07:19:15.0175252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0175322Z x = F.batch_norm( 2025-09-07T07:19:15.0175326Z 2025-09-07T07:19:15.0175448Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0175669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0175739Z return mod(*inputs) 2025-09-07T07:19:15.0175978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0176087Z x = self.forward_features(x) 2025-09-07T07:19:15.0176352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0176423Z x = self.blocks(x) 2025-09-07T07:19:15.0176675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0176745Z x = self.bn1(x) 2025-09-07T07:19:15.0176963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0177039Z x = self.act(x) 2025-09-07T07:19:15.0177044Z 2025-09-07T07:19:15.0177135Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0177253Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0177468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0177542Z return mod(*inputs) 2025-09-07T07:19:15.0177784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0177861Z x = self.forward_features(x) 2025-09-07T07:19:15.0178122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0178193Z x = self.blocks(x) 2025-09-07T07:19:15.0178438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0178517Z x = self.conv_dw(x) 2025-09-07T07:19:15.0178741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0178886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0179124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0179241Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0179253Z 2025-09-07T07:19:15.0179366Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0179482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0179705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0179777Z return mod(*inputs) 2025-09-07T07:19:15.0180015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0180094Z x = self.forward_features(x) 2025-09-07T07:19:15.0180351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0180458Z x = self.blocks(x) 2025-09-07T07:19:15.0180709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0180790Z x = self.conv_dw(x) 2025-09-07T07:19:15.0181019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0181134Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0181382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0181498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0181501Z 2025-09-07T07:19:15.0181598Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0181712Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0181927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0182013Z return mod(*inputs) 2025-09-07T07:19:15.0182246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0182332Z x = self.forward_features(x) 2025-09-07T07:19:15.0182610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0182684Z x = self.blocks(x) 2025-09-07T07:19:15.0182942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0183014Z x = self.conv_dw(x) 2025-09-07T07:19:15.0183252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0183369Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0183616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0183731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0183735Z 2025-09-07T07:19:15.0183823Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0183949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0184171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0184253Z return mod(*inputs) 2025-09-07T07:19:15.0184486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0184564Z x = self.forward_features(x) 2025-09-07T07:19:15.0184831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0184904Z x = self.blocks(x) 2025-09-07T07:19:15.0185163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0185261Z x = self.conv_dw(x) 2025-09-07T07:19:15.0185488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0185610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0185866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0185988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0185992Z 2025-09-07T07:19:15.0186080Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0186175Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0186262Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0186345Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0186468Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0186686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0186790Z return mod(*inputs) 2025-09-07T07:19:15.0187024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0187102Z x = self.forward_features(x) 2025-09-07T07:19:15.0187369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0187441Z x = self.blocks(x) 2025-09-07T07:19:15.0187697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0187770Z x = self.conv_dw(x) 2025-09-07T07:19:15.0187994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0188078Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0188082Z 2025-09-07T07:19:15.0188167Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0188286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0188507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0188579Z return mod(*inputs) 2025-09-07T07:19:15.0188837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0188917Z x = self.forward_features(x) 2025-09-07T07:19:15.0189185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0189257Z x = self.blocks(x) 2025-09-07T07:19:15.0189503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0189580Z x = self.se(x) 2025-09-07T07:19:15.0189828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0189919Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0189926Z 2025-09-07T07:19:15.0190039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0190266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0190339Z return mod(*inputs) 2025-09-07T07:19:15.0190574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0190660Z x = self.forward_features(x) 2025-09-07T07:19:15.0190916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0190995Z x = self.blocks(x) 2025-09-07T07:19:15.0191244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0191312Z x = self.se(x) 2025-09-07T07:19:15.0191577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0191679Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0191683Z 2025-09-07T07:19:15.0191806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0192026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0192100Z return mod(*inputs) 2025-09-07T07:19:15.0192367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0192449Z x = self.forward_features(x) 2025-09-07T07:19:15.0192714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0192785Z x = self.blocks(x) 2025-09-07T07:19:15.0193033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0193110Z x = self.se(x) 2025-09-07T07:19:15.0193358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0193467Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0193471Z 2025-09-07T07:19:15.0193586Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0193815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0193889Z return mod(*inputs) 2025-09-07T07:19:15.0194125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0194214Z x = self.forward_features(x) 2025-09-07T07:19:15.0194472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0194549Z x = self.blocks(x) 2025-09-07T07:19:15.0194799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0194867Z x = self.se(x) 2025-09-07T07:19:15.0195124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0195206Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0195211Z 2025-09-07T07:19:15.0195331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0195571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0195645Z return mod(*inputs) 2025-09-07T07:19:15.0195883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0195962Z x = self.forward_features(x) 2025-09-07T07:19:15.0196227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0196298Z x = self.blocks(x) 2025-09-07T07:19:15.0196541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0196623Z x = self.se(x) 2025-09-07T07:19:15.0196871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0196959Z return x * self.gate(x_se) 2025-09-07T07:19:15.0196963Z 2025-09-07T07:19:15.0197079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0197311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0197383Z return mod(*inputs) 2025-09-07T07:19:15.0197620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0197706Z x = self.forward_features(x) 2025-09-07T07:19:15.0197969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0198049Z x = self.blocks(x) 2025-09-07T07:19:15.0198294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0198387Z x = self.se(x) 2025-09-07T07:19:15.0198649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0198731Z return x * self.gate(x_se) 2025-09-07T07:19:15.0198734Z 2025-09-07T07:19:15.0198852Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0198968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0199185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0199264Z return mod(*inputs) 2025-09-07T07:19:15.0199493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0199579Z x = self.forward_features(x) 2025-09-07T07:19:15.0199832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0199942Z x = self.blocks(x) 2025-09-07T07:19:15.0200196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0200271Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0200507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0200625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0200870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0200987Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0200991Z 2025-09-07T07:19:15.0201079Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0201198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0201413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0201495Z return mod(*inputs) 2025-09-07T07:19:15.0201726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0201804Z x = self.forward_features(x) 2025-09-07T07:19:15.0202082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0202155Z x = self.blocks(x) 2025-09-07T07:19:15.0202415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0202490Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0202721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0202849Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0203090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0203213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0203217Z 2025-09-07T07:19:15.0203305Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0203399Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0203514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0203750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0203830Z return mod(*inputs) 2025-09-07T07:19:15.0204084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0204183Z x = self.forward_features(x) 2025-09-07T07:19:15.0204464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0204535Z x = self.blocks(x) 2025-09-07T07:19:15.0204807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0204904Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0205136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0205211Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0205217Z 2025-09-07T07:19:15.0205351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0205579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0205655Z return mod(*inputs) 2025-09-07T07:19:15.0205911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0205993Z x = self.forward_features(x) 2025-09-07T07:19:15.0206277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0206360Z x = self.blocks(x) 2025-09-07T07:19:15.0206633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0206723Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0206727Z 2025-09-07T07:19:15.0206839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0207097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0207170Z return mod(*inputs) 2025-09-07T07:19:15.0207413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0207499Z x = self.forward_features(x) 2025-09-07T07:19:15.0207777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0207857Z x = self.blocks(x) 2025-09-07T07:19:15.0208305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0208398Z x = self.conv_pw(x) 2025-09-07T07:19:15.0208638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0208756Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0209037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0209155Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0209159Z 2025-09-07T07:19:15.0209276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0209517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0209590Z return mod(*inputs) 2025-09-07T07:19:15.0209845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0209925Z x = self.forward_features(x) 2025-09-07T07:19:15.0210194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0210266Z x = self.blocks(x) 2025-09-07T07:19:15.0210514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0210598Z x = self.conv_pw(x) 2025-09-07T07:19:15.0210825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0210944Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0211189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0211298Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0211301Z 2025-09-07T07:19:15.0211393Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0211484Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0211671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0211889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0211961Z return mod(*inputs) 2025-09-07T07:19:15.0212226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0212307Z x = self.forward_features(x) 2025-09-07T07:19:15.0212574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0212645Z x = self.blocks(x) 2025-09-07T07:19:15.0212896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0212976Z x = self.conv_pw(x) 2025-09-07T07:19:15.0213202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0213317Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0213321Z 2025-09-07T07:19:15.0213435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0213661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0213736Z return mod(*inputs) 2025-09-07T07:19:15.0213973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0214064Z x = self.forward_features(x) 2025-09-07T07:19:15.0214324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0214402Z x = self.blocks(x) 2025-09-07T07:19:15.0214655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0214725Z x = self.bn1(x) 2025-09-07T07:19:15.0214956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0215030Z x = F.batch_norm( 2025-09-07T07:19:15.0215034Z 2025-09-07T07:19:15.0215157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0215402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0215477Z return mod(*inputs) 2025-09-07T07:19:15.0215714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0215791Z x = self.forward_features(x) 2025-09-07T07:19:15.0216051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0216121Z x = self.blocks(x) 2025-09-07T07:19:15.0216366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0216443Z x = self.bn1(x) 2025-09-07T07:19:15.0216665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0216741Z x = self.act(x) 2025-09-07T07:19:15.0216745Z 2025-09-07T07:19:15.0216834Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0216962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0217257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0217349Z return mod(*inputs) 2025-09-07T07:19:15.0217669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0217752Z x = self.forward_features(x) 2025-09-07T07:19:15.0218016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0218088Z x = self.blocks(x) 2025-09-07T07:19:15.0218333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0218444Z x = self.conv_dw(x) 2025-09-07T07:19:15.0218680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0218803Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0219065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0219181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0219185Z 2025-09-07T07:19:15.0219282Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0219394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0219616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0219688Z return mod(*inputs) 2025-09-07T07:19:15.0219917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0220026Z x = self.forward_features(x) 2025-09-07T07:19:15.0220282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0220361Z x = self.blocks(x) 2025-09-07T07:19:15.0220614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0220695Z x = self.conv_dw(x) 2025-09-07T07:19:15.0220921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0221038Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0221284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0221398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0221402Z 2025-09-07T07:19:15.0221502Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0221616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0221832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0221914Z return mod(*inputs) 2025-09-07T07:19:15.0222169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0222258Z x = self.forward_features(x) 2025-09-07T07:19:15.0222522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0222592Z x = self.blocks(x) 2025-09-07T07:19:15.0222854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0222926Z x = self.conv_dw(x) 2025-09-07T07:19:15.0223168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0223285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0223534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0223647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0223650Z 2025-09-07T07:19:15.0223741Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0223865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0224083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0224165Z return mod(*inputs) 2025-09-07T07:19:15.0224397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0224477Z x = self.forward_features(x) 2025-09-07T07:19:15.0224744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0224842Z x = self.blocks(x) 2025-09-07T07:19:15.0225099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0225171Z x = self.conv_dw(x) 2025-09-07T07:19:15.0225435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0225557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0225800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0225918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0225921Z 2025-09-07T07:19:15.0226011Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0226097Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0226191Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0226296Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0226417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0226637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0226710Z return mod(*inputs) 2025-09-07T07:19:15.0226961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0227040Z x = self.forward_features(x) 2025-09-07T07:19:15.0227304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0227375Z x = self.blocks(x) 2025-09-07T07:19:15.0227628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0227700Z x = self.conv_dw(x) 2025-09-07T07:19:15.0227926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0228014Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0228017Z 2025-09-07T07:19:15.0228104Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0228222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0228457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0228534Z return mod(*inputs) 2025-09-07T07:19:15.0228773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0228853Z x = self.forward_features(x) 2025-09-07T07:19:15.0229116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0229188Z x = self.blocks(x) 2025-09-07T07:19:15.0229436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0229514Z x = self.se(x) 2025-09-07T07:19:15.0229763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0229854Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0229857Z 2025-09-07T07:19:15.0229969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0230187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0230268Z return mod(*inputs) 2025-09-07T07:19:15.0230498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0230583Z x = self.forward_features(x) 2025-09-07T07:19:15.0230839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0230915Z x = self.blocks(x) 2025-09-07T07:19:15.0231160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0231250Z x = self.se(x) 2025-09-07T07:19:15.0231503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0231583Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0231587Z 2025-09-07T07:19:15.0231708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0231945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0232019Z return mod(*inputs) 2025-09-07T07:19:15.0232259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0232337Z x = self.forward_features(x) 2025-09-07T07:19:15.0232601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0232671Z x = self.blocks(x) 2025-09-07T07:19:15.0232919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0233016Z x = self.se(x) 2025-09-07T07:19:15.0233262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0233349Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0233353Z 2025-09-07T07:19:15.0233470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0233693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0233768Z return mod(*inputs) 2025-09-07T07:19:15.0234001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0234089Z x = self.forward_features(x) 2025-09-07T07:19:15.0234346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0234429Z x = self.blocks(x) 2025-09-07T07:19:15.0234678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0234746Z x = self.se(x) 2025-09-07T07:19:15.0235017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0235103Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0235107Z 2025-09-07T07:19:15.0235229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0235445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0235517Z return mod(*inputs) 2025-09-07T07:19:15.0235757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0235834Z x = self.forward_features(x) 2025-09-07T07:19:15.0236096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0236170Z x = self.blocks(x) 2025-09-07T07:19:15.0236415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0236490Z x = self.se(x) 2025-09-07T07:19:15.0236735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0236824Z return x * self.gate(x_se) 2025-09-07T07:19:15.0236827Z 2025-09-07T07:19:15.0236941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0237167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0237240Z return mod(*inputs) 2025-09-07T07:19:15.0237472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0237558Z x = self.forward_features(x) 2025-09-07T07:19:15.0237837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0237916Z x = self.blocks(x) 2025-09-07T07:19:15.0238161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0238231Z x = self.se(x) 2025-09-07T07:19:15.0238501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0238582Z return x * self.gate(x_se) 2025-09-07T07:19:15.0238586Z 2025-09-07T07:19:15.0238682Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0238795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0239011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0239093Z return mod(*inputs) 2025-09-07T07:19:15.0239323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0239427Z x = self.forward_features(x) 2025-09-07T07:19:15.0239682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0239753Z x = self.blocks(x) 2025-09-07T07:19:15.0240014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0240090Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0240326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0240444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0240695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0240813Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0240816Z 2025-09-07T07:19:15.0240907Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0241025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0241244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0241323Z return mod(*inputs) 2025-09-07T07:19:15.0241579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0241658Z x = self.forward_features(x) 2025-09-07T07:19:15.0241923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0241993Z x = self.blocks(x) 2025-09-07T07:19:15.0242248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0242324Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0242555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0242681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0242922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0243045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0243048Z 2025-09-07T07:19:15.0243139Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0243235Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0243349Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0243585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0243667Z return mod(*inputs) 2025-09-07T07:19:15.0243897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0243981Z x = self.forward_features(x) 2025-09-07T07:19:15.0244247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0244343Z x = self.blocks(x) 2025-09-07T07:19:15.0244600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0244677Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0244929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0245006Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0245010Z 2025-09-07T07:19:15.0245123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0245366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0245440Z return mod(*inputs) 2025-09-07T07:19:15.0245855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0245945Z x = self.forward_features(x) 2025-09-07T07:19:15.0246286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0246367Z x = self.blocks(x) 2025-09-07T07:19:15.0246618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0246714Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0246718Z 2025-09-07T07:19:15.0246834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0247063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0247136Z return mod(*inputs) 2025-09-07T07:19:15.0247371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0247458Z x = self.forward_features(x) 2025-09-07T07:19:15.0247727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0247810Z x = self.blocks(x) 2025-09-07T07:19:15.0248114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0248193Z x = self.conv_pw(x) 2025-09-07T07:19:15.0248494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0248611Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0248862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0248974Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0248978Z 2025-09-07T07:19:15.0249093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0249320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0249396Z return mod(*inputs) 2025-09-07T07:19:15.0249640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0249719Z x = self.forward_features(x) 2025-09-07T07:19:15.0249980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0250061Z x = self.blocks(x) 2025-09-07T07:19:15.0250314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0250396Z x = self.conv_pw(x) 2025-09-07T07:19:15.0250625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0250747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0250986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0251148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0251151Z 2025-09-07T07:19:15.0251250Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0251339Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0251463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0251708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0251783Z return mod(*inputs) 2025-09-07T07:19:15.0252032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0252111Z x = self.forward_features(x) 2025-09-07T07:19:15.0252383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0252454Z x = self.blocks(x) 2025-09-07T07:19:15.0252703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0252811Z x = self.conv_pw(x) 2025-09-07T07:19:15.0253037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0253123Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0253127Z 2025-09-07T07:19:15.0253244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0253470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0253541Z return mod(*inputs) 2025-09-07T07:19:15.0253771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0253857Z x = self.forward_features(x) 2025-09-07T07:19:15.0254116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0254194Z x = self.blocks(x) 2025-09-07T07:19:15.0254441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0254514Z x = self.bn1(x) 2025-09-07T07:19:15.0254740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0254810Z x = F.batch_norm( 2025-09-07T07:19:15.0254838Z 2025-09-07T07:19:15.0254962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0255179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0255253Z return mod(*inputs) 2025-09-07T07:19:15.0255498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0255577Z x = self.forward_features(x) 2025-09-07T07:19:15.0255845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0255915Z x = self.blocks(x) 2025-09-07T07:19:15.0256171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0256249Z x = self.bn1(x) 2025-09-07T07:19:15.0256472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0256549Z x = self.act(x) 2025-09-07T07:19:15.0256554Z 2025-09-07T07:19:15.0256644Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0256757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0256988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0257061Z return mod(*inputs) 2025-09-07T07:19:15.0257306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0257384Z x = self.forward_features(x) 2025-09-07T07:19:15.0257662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0257759Z x = self.blocks(x) 2025-09-07T07:19:15.0258007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0258089Z x = self.conv_dw(x) 2025-09-07T07:19:15.0258336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0258459Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0258698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0258812Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0258816Z 2025-09-07T07:19:15.0258913Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0259027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0259252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0259349Z return mod(*inputs) 2025-09-07T07:19:15.0259577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0259662Z x = self.forward_features(x) 2025-09-07T07:19:15.0259921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0260000Z x = self.blocks(x) 2025-09-07T07:19:15.0260245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0260317Z x = self.conv_dw(x) 2025-09-07T07:19:15.0260547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0260662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0260904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0261020Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0261024Z 2025-09-07T07:19:15.0261118Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0261246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0261465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0261546Z return mod(*inputs) 2025-09-07T07:19:15.0261775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0261861Z x = self.forward_features(x) 2025-09-07T07:19:15.0262114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0262184Z x = self.blocks(x) 2025-09-07T07:19:15.0262435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0262509Z x = self.conv_dw(x) 2025-09-07T07:19:15.0262739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0262852Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0263089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0263209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0263213Z 2025-09-07T07:19:15.0263300Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0263422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0263639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0263718Z return mod(*inputs) 2025-09-07T07:19:15.0263948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0264051Z x = self.forward_features(x) 2025-09-07T07:19:15.0264319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0264389Z x = self.blocks(x) 2025-09-07T07:19:15.0264707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0264782Z x = self.conv_dw(x) 2025-09-07T07:19:15.0265010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0265130Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0265371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0265489Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0265493Z 2025-09-07T07:19:15.0265602Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0265690Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0265784Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0265869Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0265989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0266212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0266284Z return mod(*inputs) 2025-09-07T07:19:15.0266524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0266603Z x = self.forward_features(x) 2025-09-07T07:19:15.0266865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0266937Z x = self.blocks(x) 2025-09-07T07:19:15.0267195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0267272Z x = self.conv_dw(x) 2025-09-07T07:19:15.0267501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0267585Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0267589Z 2025-09-07T07:19:15.0267696Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0267821Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0268037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0268108Z return mod(*inputs) 2025-09-07T07:19:15.0268343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0268422Z x = self.forward_features(x) 2025-09-07T07:19:15.0268683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0268758Z x = self.blocks(x) 2025-09-07T07:19:15.0269004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0269081Z x = self.se(x) 2025-09-07T07:19:15.0269326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0269422Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0269425Z 2025-09-07T07:19:15.0269538Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0269754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0269834Z return mod(*inputs) 2025-09-07T07:19:15.0270063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0270149Z x = self.forward_features(x) 2025-09-07T07:19:15.0270404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0270503Z x = self.blocks(x) 2025-09-07T07:19:15.0270753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0270822Z x = self.se(x) 2025-09-07T07:19:15.0271096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0271177Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0271181Z 2025-09-07T07:19:15.0271301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0271520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0271592Z return mod(*inputs) 2025-09-07T07:19:15.0271834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0271911Z x = self.forward_features(x) 2025-09-07T07:19:15.0272194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0272264Z x = self.blocks(x) 2025-09-07T07:19:15.0272513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0272590Z x = self.se(x) 2025-09-07T07:19:15.0272838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0272922Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0272926Z 2025-09-07T07:19:15.0273039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0273259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0273338Z return mod(*inputs) 2025-09-07T07:19:15.0273570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0273658Z x = self.forward_features(x) 2025-09-07T07:19:15.0273911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0273990Z x = self.blocks(x) 2025-09-07T07:19:15.0274262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0274332Z x = self.se(x) 2025-09-07T07:19:15.0274589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0274671Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0274674Z 2025-09-07T07:19:15.0274796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0275016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0275088Z return mod(*inputs) 2025-09-07T07:19:15.0275332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0275412Z x = self.forward_features(x) 2025-09-07T07:19:15.0275680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0275751Z x = self.blocks(x) 2025-09-07T07:19:15.0276005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0276081Z x = self.se(x) 2025-09-07T07:19:15.0276330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0276415Z return x * self.gate(x_se) 2025-09-07T07:19:15.0276419Z 2025-09-07T07:19:15.0276533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0276758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0276831Z return mod(*inputs) 2025-09-07T07:19:15.0277490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0277575Z x = self.forward_features(x) 2025-09-07T07:19:15.0277828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0277910Z x = self.blocks(x) 2025-09-07T07:19:15.0278173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0278244Z x = self.se(x) 2025-09-07T07:19:15.0278500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0278579Z return x * self.gate(x_se) 2025-09-07T07:19:15.0278583Z 2025-09-07T07:19:15.0278683Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0278797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0279014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0279116Z return mod(*inputs) 2025-09-07T07:19:15.0279346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0279432Z x = self.forward_features(x) 2025-09-07T07:19:15.0279699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0279771Z x = self.blocks(x) 2025-09-07T07:19:15.0280026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0280101Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0280337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0280456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0280696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0280824Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0280827Z 2025-09-07T07:19:15.0280916Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0281057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0281279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0281361Z return mod(*inputs) 2025-09-07T07:19:15.0281592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0281669Z x = self.forward_features(x) 2025-09-07T07:19:15.0281934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0282005Z x = self.blocks(x) 2025-09-07T07:19:15.0282259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0282338Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0282562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0282685Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0282926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0283046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0283049Z 2025-09-07T07:19:15.0283136Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0283232Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0283353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0283569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0283649Z return mod(*inputs) 2025-09-07T07:19:15.0283901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0283987Z x = self.forward_features(x) 2025-09-07T07:19:15.0284252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0284324Z x = self.blocks(x) 2025-09-07T07:19:15.0284597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0284676Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0284909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0284985Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0284989Z 2025-09-07T07:19:15.0285102Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0285328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0285424Z return mod(*inputs) 2025-09-07T07:19:15.0285663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0285742Z x = self.forward_features(x) 2025-09-07T07:19:15.0286009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0286090Z x = self.blocks(x) 2025-09-07T07:19:15.0286335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0286424Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0286428Z 2025-09-07T07:19:15.0286541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0286767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0286847Z return mod(*inputs) 2025-09-07T07:19:15.0287075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0287164Z x = self.forward_features(x) 2025-09-07T07:19:15.0287427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0287505Z x = self.blocks(x) 2025-09-07T07:19:15.0287770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0287844Z x = self.conv_pw(x) 2025-09-07T07:19:15.0287848Z 2025-09-07T07:19:15.0288050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0288285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0288364Z return mod(*inputs) 2025-09-07T07:19:15.0288596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0288674Z x = self.forward_features(x) 2025-09-07T07:19:15.0288946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0289018Z x = self.blocks(x) 2025-09-07T07:19:15.0289284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0289354Z x = self.bn1(x) 2025-09-07T07:19:15.0289577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0289659Z x = F.batch_norm( 2025-09-07T07:19:15.0289663Z 2025-09-07T07:19:15.0289776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0290004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0290077Z return mod(*inputs) 2025-09-07T07:19:15.0290310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0290428Z x = self.forward_features(x) 2025-09-07T07:19:15.0290694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0290777Z x = self.blocks(x) 2025-09-07T07:19:15.0291030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0291123Z x = self.bn1(x) 2025-09-07T07:19:15.0291342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0291410Z x = self.act(x) 2025-09-07T07:19:15.0291414Z 2025-09-07T07:19:15.0291533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0291758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0291839Z return mod(*inputs) 2025-09-07T07:19:15.0292071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0292170Z x = self.forward_features(x) 2025-09-07T07:19:15.0292440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0292510Z x = self.blocks(x) 2025-09-07T07:19:15.0292767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0292839Z x = self.conv_dw(x) 2025-09-07T07:19:15.0293065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0293191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0293436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0293560Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0293797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0293881Z return conv2d_same( 2025-09-07T07:19:15.0294120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:15.0294263Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:15.0294500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:15.0294670Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:15.0294892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:15.0295007Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:15.0295010Z 2025-09-07T07:19:15.0295129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0295357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0295434Z return mod(*inputs) 2025-09-07T07:19:15.0295679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0295760Z x = self.forward_features(x) 2025-09-07T07:19:15.0296021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0296101Z x = self.blocks(x) 2025-09-07T07:19:15.0296352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0296434Z x = self.conv_dw(x) 2025-09-07T07:19:15.0296661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0296787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0297025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0297165Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0297401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0297477Z return conv2d_same( 2025-09-07T07:19:15.0297742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:15.0297893Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:15.0297896Z 2025-09-07T07:19:15.0298012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0298241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0298313Z return mod(*inputs) 2025-09-07T07:19:15.0298554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0298664Z x = self.forward_features(x) 2025-09-07T07:19:15.0298919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0298999Z x = self.blocks(x) 2025-09-07T07:19:15.0299250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0299331Z x = self.conv_dw(x) 2025-09-07T07:19:15.0299558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0299679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0299918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0300031Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0300266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0300344Z return conv2d_same( 2025-09-07T07:19:15.0300586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:15.0300703Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:15.0300955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:15.0301120Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:15.0301323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:15.0301438Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:15.0301442Z 2025-09-07T07:19:15.0301553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0301768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0301849Z return mod(*inputs) 2025-09-07T07:19:15.0302075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0302161Z x = self.forward_features(x) 2025-09-07T07:19:15.0302410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0302489Z x = self.blocks(x) 2025-09-07T07:19:15.0302730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0302800Z x = self.conv_dw(x) 2025-09-07T07:19:15.0303033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0303148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0303391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0303524Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0303748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0303830Z return conv2d_same( 2025-09-07T07:19:15.0304085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:15.0304238Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:15.0304242Z 2025-09-07T07:19:15.0304358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0304576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0304657Z return mod(*inputs) 2025-09-07T07:19:15.0304889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0304973Z x = self.forward_features(x) 2025-09-07T07:19:15.0305254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0305331Z x = self.blocks(x) 2025-09-07T07:19:15.0305586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0305656Z x = self.conv_dw(x) 2025-09-07T07:19:15.0305885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0305995Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0306234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0306345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0306569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0306651Z return conv2d_same( 2025-09-07T07:19:15.0306892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:15.0307012Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:15.0307251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:15.0307411Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:15.0307634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:15.0307742Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:15.0307746Z 2025-09-07T07:19:15.0307866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0308085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0308164Z return mod(*inputs) 2025-09-07T07:19:15.0308402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0308482Z x = self.forward_features(x) 2025-09-07T07:19:15.0308745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0308819Z x = self.blocks(x) 2025-09-07T07:19:15.0309075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0309164Z x = self.conv_dw(x) 2025-09-07T07:19:15.0309390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0309512Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0309749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0309870Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0310124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0310196Z return conv2d_same( 2025-09-07T07:19:15.0310434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:15.0310594Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:15.0310599Z 2025-09-07T07:19:15.0310722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0310940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0311021Z return mod(*inputs) 2025-09-07T07:19:15.0311251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0311331Z x = self.forward_features(x) 2025-09-07T07:19:15.0311593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0311691Z x = self.blocks(x) 2025-09-07T07:19:15.0311946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0312019Z x = self.conv_dw(x) 2025-09-07T07:19:15.0312248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0312371Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0312607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0312727Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0312951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0313024Z return conv2d_same( 2025-09-07T07:19:15.0313266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T07:19:15.0313383Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T07:19:15.0313610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T07:19:15.0313834Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T07:19:15.0314052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T07:19:15.0314160Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T07:19:15.0314163Z 2025-09-07T07:19:15.0314278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0314506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0314577Z return mod(*inputs) 2025-09-07T07:19:15.0314818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0314901Z x = self.forward_features(x) 2025-09-07T07:19:15.0315157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0315238Z x = self.blocks(x) 2025-09-07T07:19:15.0315485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0315567Z x = self.conv_dw(x) 2025-09-07T07:19:15.0315792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0315907Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0316148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0316261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0316518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T07:19:15.0316592Z return conv2d_same( 2025-09-07T07:19:15.0316836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T07:19:15.0316979Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T07:19:15.0317001Z 2025-09-07T07:19:15.0317097Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0317195Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0317281Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0317373Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0317489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0317706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0317786Z return mod(*inputs) 2025-09-07T07:19:15.0318018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0318131Z x = self.forward_features(x) 2025-09-07T07:19:15.0318387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0318460Z x = self.blocks(x) 2025-09-07T07:19:15.0318720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0318791Z x = self.conv_dw(x) 2025-09-07T07:19:15.0319024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0319100Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0319104Z 2025-09-07T07:19:15.0319191Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0319313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0319531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0319612Z return mod(*inputs) 2025-09-07T07:19:15.0319844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0319922Z x = self.forward_features(x) 2025-09-07T07:19:15.0320210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0320283Z x = self.blocks(x) 2025-09-07T07:19:15.0320539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0320609Z x = self.se(x) 2025-09-07T07:19:15.0320866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0320953Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0320957Z 2025-09-07T07:19:15.0321070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0321299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0321371Z return mod(*inputs) 2025-09-07T07:19:15.0321614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0321695Z x = self.forward_features(x) 2025-09-07T07:19:15.0321956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0322035Z x = self.blocks(x) 2025-09-07T07:19:15.0322285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0322359Z x = self.se(x) 2025-09-07T07:19:15.0322609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0322692Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0322695Z 2025-09-07T07:19:15.0322818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0323053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0323131Z return mod(*inputs) 2025-09-07T07:19:15.0323363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0323479Z x = self.forward_features(x) 2025-09-07T07:19:15.0323739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0323809Z x = self.blocks(x) 2025-09-07T07:19:15.0324065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0324135Z x = self.se(x) 2025-09-07T07:19:15.0324390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0324467Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0324492Z 2025-09-07T07:19:15.0324607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0324872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0324944Z return mod(*inputs) 2025-09-07T07:19:15.0325200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0325281Z x = self.forward_features(x) 2025-09-07T07:19:15.0325558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0325639Z x = self.blocks(x) 2025-09-07T07:19:15.0325896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0325970Z x = self.se(x) 2025-09-07T07:19:15.0326215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0326301Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0326314Z 2025-09-07T07:19:15.0326428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0326665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0326768Z return mod(*inputs) 2025-09-07T07:19:15.0327013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0327100Z x = self.forward_features(x) 2025-09-07T07:19:15.0327373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0327444Z x = self.blocks(x) 2025-09-07T07:19:15.0327710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0327776Z x = self.se(x) 2025-09-07T07:19:15.0328141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0328233Z return x * self.gate(x_se) 2025-09-07T07:19:15.0328238Z 2025-09-07T07:19:15.0328351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0328584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0328659Z return mod(*inputs) 2025-09-07T07:19:15.0328905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0328985Z x = self.forward_features(x) 2025-09-07T07:19:15.0329264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0329345Z x = self.blocks(x) 2025-09-07T07:19:15.0329607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0329685Z x = self.se(x) 2025-09-07T07:19:15.0329952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0330031Z return x * self.gate(x_se) 2025-09-07T07:19:15.0330044Z 2025-09-07T07:19:15.0330157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0330404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0330488Z return mod(*inputs) 2025-09-07T07:19:15.0330722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0330810Z x = self.forward_features(x) 2025-09-07T07:19:15.0331074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0331144Z x = self.blocks(x) 2025-09-07T07:19:15.0331397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0331495Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0331499Z 2025-09-07T07:19:15.0331618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0331844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0331917Z return mod(*inputs) 2025-09-07T07:19:15.0332160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0332238Z x = self.forward_features(x) 2025-09-07T07:19:15.0332503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0332572Z x = self.blocks(x) 2025-09-07T07:19:15.0332817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T07:19:15.0332895Z x = self.bn3(x) 2025-09-07T07:19:15.0333114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0333195Z x = F.batch_norm( 2025-09-07T07:19:15.0333199Z 2025-09-07T07:19:15.0333311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0333559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0333635Z return mod(*inputs) 2025-09-07T07:19:15.0333867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0333951Z x = self.forward_features(x) 2025-09-07T07:19:15.0334217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0334296Z x = self.blocks(x) 2025-09-07T07:19:15.0334547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0334618Z x = self.conv_pw(x) 2025-09-07T07:19:15.0334624Z 2025-09-07T07:19:15.0334746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0334960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0335039Z return mod(*inputs) 2025-09-07T07:19:15.0335282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0335359Z x = self.forward_features(x) 2025-09-07T07:19:15.0335626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0335695Z x = self.blocks(x) 2025-09-07T07:19:15.0335951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0336020Z x = self.bn1(x) 2025-09-07T07:19:15.0336243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0336341Z x = F.batch_norm( 2025-09-07T07:19:15.0336345Z 2025-09-07T07:19:15.0336457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0336682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0336757Z return mod(*inputs) 2025-09-07T07:19:15.0337022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0337102Z x = self.forward_features(x) 2025-09-07T07:19:15.0337357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0337435Z x = self.blocks(x) 2025-09-07T07:19:15.0337682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0337758Z x = self.bn1(x) 2025-09-07T07:19:15.0337978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0338067Z x = self.act(x) 2025-09-07T07:19:15.0338071Z 2025-09-07T07:19:15.0338169Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0338281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0338509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0338585Z return mod(*inputs) 2025-09-07T07:19:15.0338818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0338908Z x = self.forward_features(x) 2025-09-07T07:19:15.0339164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0339245Z x = self.blocks(x) 2025-09-07T07:19:15.0339494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0339568Z x = self.conv_dw(x) 2025-09-07T07:19:15.0339804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0339924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0340188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0340310Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0340314Z 2025-09-07T07:19:15.0340411Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0340524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0340740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0340822Z return mod(*inputs) 2025-09-07T07:19:15.0341054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0341143Z x = self.forward_features(x) 2025-09-07T07:19:15.0341402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0341473Z x = self.blocks(x) 2025-09-07T07:19:15.0341746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0341819Z x = self.conv_dw(x) 2025-09-07T07:19:15.0342054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0342169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0342408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0342531Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0342534Z 2025-09-07T07:19:15.0342622Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0342763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0342977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0343056Z return mod(*inputs) 2025-09-07T07:19:15.0343287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0343384Z x = self.forward_features(x) 2025-09-07T07:19:15.0343648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0343719Z x = self.blocks(x) 2025-09-07T07:19:15.0343973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0344044Z x = self.conv_dw(x) 2025-09-07T07:19:15.0344269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0344391Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0344649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0344769Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0344773Z 2025-09-07T07:19:15.0344862Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0344977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0345203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0345276Z return mod(*inputs) 2025-09-07T07:19:15.0345512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0345590Z x = self.forward_features(x) 2025-09-07T07:19:15.0346073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0346159Z x = self.blocks(x) 2025-09-07T07:19:15.0346409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0346491Z x = self.conv_dw(x) 2025-09-07T07:19:15.0346781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0346908Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0347144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0347256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0347261Z 2025-09-07T07:19:15.0347361Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0347449Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0347543Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0347627Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0347745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0347967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0348039Z return mod(*inputs) 2025-09-07T07:19:15.0348279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0348361Z x = self.forward_features(x) 2025-09-07T07:19:15.0348619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0348702Z x = self.blocks(x) 2025-09-07T07:19:15.0348952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0349033Z x = self.conv_dw(x) 2025-09-07T07:19:15.0349258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0349337Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0349385Z 2025-09-07T07:19:15.0349480Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0349593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0349819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0349893Z return mod(*inputs) 2025-09-07T07:19:15.0350151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0350240Z x = self.forward_features(x) 2025-09-07T07:19:15.0350498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0350577Z x = self.blocks(x) 2025-09-07T07:19:15.0350825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0350902Z x = self.se(x) 2025-09-07T07:19:15.0351147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0351265Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0351269Z 2025-09-07T07:19:15.0351390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0351609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0351691Z return mod(*inputs) 2025-09-07T07:19:15.0351920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0351998Z x = self.forward_features(x) 2025-09-07T07:19:15.0352264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0352334Z x = self.blocks(x) 2025-09-07T07:19:15.0352587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0352659Z x = self.se(x) 2025-09-07T07:19:15.0352907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0352997Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0353001Z 2025-09-07T07:19:15.0353114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0353363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0353438Z return mod(*inputs) 2025-09-07T07:19:15.0353678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0353757Z x = self.forward_features(x) 2025-09-07T07:19:15.0354011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0354093Z x = self.blocks(x) 2025-09-07T07:19:15.0354335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0354416Z x = self.se(x) 2025-09-07T07:19:15.0354659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0354737Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0354741Z 2025-09-07T07:19:15.0354867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0355083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0355162Z return mod(*inputs) 2025-09-07T07:19:15.0355399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0355477Z x = self.forward_features(x) 2025-09-07T07:19:15.0355739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0355808Z x = self.blocks(x) 2025-09-07T07:19:15.0356062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0356157Z x = self.se(x) 2025-09-07T07:19:15.0356401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0356494Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0356498Z 2025-09-07T07:19:15.0356631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0356856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0356930Z return mod(*inputs) 2025-09-07T07:19:15.0357169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0357246Z x = self.forward_features(x) 2025-09-07T07:19:15.0357500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0357603Z x = self.blocks(x) 2025-09-07T07:19:15.0357853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0357931Z x = self.se(x) 2025-09-07T07:19:15.0358177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0358259Z return x * self.gate(x_se) 2025-09-07T07:19:15.0358263Z 2025-09-07T07:19:15.0358387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0358603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0358684Z return mod(*inputs) 2025-09-07T07:19:15.0358919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0358999Z x = self.forward_features(x) 2025-09-07T07:19:15.0359267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0359343Z x = self.blocks(x) 2025-09-07T07:19:15.0359595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0359664Z x = self.se(x) 2025-09-07T07:19:15.0359943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0360032Z return x * self.gate(x_se) 2025-09-07T07:19:15.0360036Z 2025-09-07T07:19:15.0360124Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0360246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0360463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0360543Z return mod(*inputs) 2025-09-07T07:19:15.0360777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0360860Z x = self.forward_features(x) 2025-09-07T07:19:15.0361128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0361197Z x = self.blocks(x) 2025-09-07T07:19:15.0361455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0361532Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0361762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0361887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0362126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0362249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0362252Z 2025-09-07T07:19:15.0362340Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0362477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0362700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0362773Z return mod(*inputs) 2025-09-07T07:19:15.0363012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0363113Z x = self.forward_features(x) 2025-09-07T07:19:15.0363369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0363447Z x = self.blocks(x) 2025-09-07T07:19:15.0363693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0363776Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0364004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0364150Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0364389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0364505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0364508Z 2025-09-07T07:19:15.0364604Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0364693Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0364814Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0365031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0365103Z return mod(*inputs) 2025-09-07T07:19:15.0365343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0365422Z x = self.forward_features(x) 2025-09-07T07:19:15.0365685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0365761Z x = self.blocks(x) 2025-09-07T07:19:15.0366008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0366092Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0366339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0366424Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0366428Z 2025-09-07T07:19:15.0366543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0366786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0366858Z return mod(*inputs) 2025-09-07T07:19:15.0367099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0367185Z x = self.forward_features(x) 2025-09-07T07:19:15.0367464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0367545Z x = self.blocks(x) 2025-09-07T07:19:15.0367791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0367875Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0367878Z 2025-09-07T07:19:15.0368095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0368321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0368403Z return mod(*inputs) 2025-09-07T07:19:15.0368648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0368728Z x = self.forward_features(x) 2025-09-07T07:19:15.0369019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0369161Z x = self.blocks(x) 2025-09-07T07:19:15.0369432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0369506Z x = self.conv_pw(x) 2025-09-07T07:19:15.0369511Z 2025-09-07T07:19:15.0369628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0369895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0369971Z return mod(*inputs) 2025-09-07T07:19:15.0370228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0370311Z x = self.forward_features(x) 2025-09-07T07:19:15.0370597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0370669Z x = self.blocks(x) 2025-09-07T07:19:15.0370931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0371035Z x = self.bn1(x) 2025-09-07T07:19:15.0371255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0371334Z x = F.batch_norm( 2025-09-07T07:19:15.0371338Z 2025-09-07T07:19:15.0371454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0371694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0371776Z return mod(*inputs) 2025-09-07T07:19:15.0372022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0372108Z x = self.forward_features(x) 2025-09-07T07:19:15.0372388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0372458Z x = self.blocks(x) 2025-09-07T07:19:15.0372715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0372785Z x = self.bn1(x) 2025-09-07T07:19:15.0373012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0373111Z x = self.act(x) 2025-09-07T07:19:15.0373116Z 2025-09-07T07:19:15.0373210Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0373334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0373563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0373646Z return mod(*inputs) 2025-09-07T07:19:15.0373883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0373972Z x = self.forward_features(x) 2025-09-07T07:19:15.0374240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0374318Z x = self.blocks(x) 2025-09-07T07:19:15.0374576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0374652Z x = self.conv_dw(x) 2025-09-07T07:19:15.0374894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0375013Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0375263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0375389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0375392Z 2025-09-07T07:19:15.0375483Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0375604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0375826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0375924Z return mod(*inputs) 2025-09-07T07:19:15.0376163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0376242Z x = self.forward_features(x) 2025-09-07T07:19:15.0376530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0376603Z x = self.blocks(x) 2025-09-07T07:19:15.0376850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0376931Z x = self.conv_dw(x) 2025-09-07T07:19:15.0377156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0377276Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0377513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0377652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0377656Z 2025-09-07T07:19:15.0377743Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0377855Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0378079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0378152Z return mod(*inputs) 2025-09-07T07:19:15.0378390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0378468Z x = self.forward_features(x) 2025-09-07T07:19:15.0378723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0378800Z x = self.blocks(x) 2025-09-07T07:19:15.0379048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0379132Z x = self.conv_dw(x) 2025-09-07T07:19:15.0379355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0379468Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0379733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0379847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0379850Z 2025-09-07T07:19:15.0379946Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0380060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0380283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0380354Z return mod(*inputs) 2025-09-07T07:19:15.0380589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0380678Z x = self.forward_features(x) 2025-09-07T07:19:15.0380933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0381012Z x = self.blocks(x) 2025-09-07T07:19:15.0381262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0381334Z x = self.conv_dw(x) 2025-09-07T07:19:15.0381568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0381680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0381924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0382035Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0382038Z 2025-09-07T07:19:15.0382126Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0382245Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0382332Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0382425Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0382539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0382778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0382861Z return mod(*inputs) 2025-09-07T07:19:15.0383093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0383180Z x = self.forward_features(x) 2025-09-07T07:19:15.0383438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0383509Z x = self.blocks(x) 2025-09-07T07:19:15.0383765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0383860Z x = self.conv_dw(x) 2025-09-07T07:19:15.0384096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0384173Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0384177Z 2025-09-07T07:19:15.0384274Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0384389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0384608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0384689Z return mod(*inputs) 2025-09-07T07:19:15.0384921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0385008Z x = self.forward_features(x) 2025-09-07T07:19:15.0385269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0385340Z x = self.blocks(x) 2025-09-07T07:19:15.0385601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0385669Z x = self.se(x) 2025-09-07T07:19:15.0385925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0386027Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0386034Z 2025-09-07T07:19:15.0386149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0386371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0386443Z return mod(*inputs) 2025-09-07T07:19:15.0386679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0386758Z x = self.forward_features(x) 2025-09-07T07:19:15.0387012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0387093Z x = self.blocks(x) 2025-09-07T07:19:15.0387341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0387416Z x = self.se(x) 2025-09-07T07:19:15.0387663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0387752Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0387755Z 2025-09-07T07:19:15.0387870Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0388083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0388166Z return mod(*inputs) 2025-09-07T07:19:15.0388396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0388483Z x = self.forward_features(x) 2025-09-07T07:19:15.0388736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0388838Z x = self.blocks(x) 2025-09-07T07:19:15.0389098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0389163Z x = self.se(x) 2025-09-07T07:19:15.0389449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0389529Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0389533Z 2025-09-07T07:19:15.0389646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0389870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0389942Z return mod(*inputs) 2025-09-07T07:19:15.0390183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0390261Z x = self.forward_features(x) 2025-09-07T07:19:15.0390549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0390618Z x = self.blocks(x) 2025-09-07T07:19:15.0390865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0390941Z x = self.se(x) 2025-09-07T07:19:15.0391190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0391277Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0391281Z 2025-09-07T07:19:15.0391393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0391609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0391689Z return mod(*inputs) 2025-09-07T07:19:15.0391921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0392010Z x = self.forward_features(x) 2025-09-07T07:19:15.0392263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0392337Z x = self.blocks(x) 2025-09-07T07:19:15.0392616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0392687Z x = self.se(x) 2025-09-07T07:19:15.0392938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0393019Z return x * self.gate(x_se) 2025-09-07T07:19:15.0393023Z 2025-09-07T07:19:15.0393135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0393357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0393429Z return mod(*inputs) 2025-09-07T07:19:15.0393665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0393746Z x = self.forward_features(x) 2025-09-07T07:19:15.0394021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0394094Z x = self.blocks(x) 2025-09-07T07:19:15.0394344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0394420Z x = self.se(x) 2025-09-07T07:19:15.0394664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0394751Z return x * self.gate(x_se) 2025-09-07T07:19:15.0394754Z 2025-09-07T07:19:15.0394842Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0394955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0395177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0395275Z return mod(*inputs) 2025-09-07T07:19:15.0395514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0395593Z x = self.forward_features(x) 2025-09-07T07:19:15.0395865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0395947Z x = self.blocks(x) 2025-09-07T07:19:15.0396196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0396280Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0396510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0396625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0396876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0397023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0397027Z 2025-09-07T07:19:15.0397124Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0397237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0397460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0397533Z return mod(*inputs) 2025-09-07T07:19:15.0397763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0397849Z x = self.forward_features(x) 2025-09-07T07:19:15.0398102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0398183Z x = self.blocks(x) 2025-09-07T07:19:15.0398431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0398510Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0398743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0398857Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0399121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0399249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0399253Z 2025-09-07T07:19:15.0399340Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0399435Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0399548Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0399774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0399845Z return mod(*inputs) 2025-09-07T07:19:15.0400083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0400170Z x = self.forward_features(x) 2025-09-07T07:19:15.0400419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0400496Z x = self.blocks(x) 2025-09-07T07:19:15.0400746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0400831Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0401056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0401134Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0401137Z 2025-09-07T07:19:15.0401268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0401478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0401557Z return mod(*inputs) 2025-09-07T07:19:15.0401808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0401885Z x = self.forward_features(x) 2025-09-07T07:19:15.0402153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0402224Z x = self.blocks(x) 2025-09-07T07:19:15.0402498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0402584Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0402588Z 2025-09-07T07:19:15.0402701Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0402927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0403000Z return mod(*inputs) 2025-09-07T07:19:15.0403245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0403345Z x = self.forward_features(x) 2025-09-07T07:19:15.0403608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0403679Z x = self.blocks(x) 2025-09-07T07:19:15.0403931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T07:19:15.0404013Z x = self.conv_pw(x) 2025-09-07T07:19:15.0404017Z 2025-09-07T07:19:15.0404128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0404349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0404419Z return mod(*inputs) 2025-09-07T07:19:15.0404649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0404735Z x = self.forward_features(x) 2025-09-07T07:19:15.0404990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0405069Z x = self.blocks(x) 2025-09-07T07:19:15.0405317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0405406Z x = self.bn1(x) 2025-09-07T07:19:15.0405637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T07:19:15.0405706Z x = F.batch_norm( 2025-09-07T07:19:15.0405710Z 2025-09-07T07:19:15.0405828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0406041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0406115Z return mod(*inputs) 2025-09-07T07:19:15.0406354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0406432Z x = self.forward_features(x) 2025-09-07T07:19:15.0406694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0406765Z x = self.blocks(x) 2025-09-07T07:19:15.0407082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T07:19:15.0407171Z x = self.bn1(x) 2025-09-07T07:19:15.0407489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T07:19:15.0407588Z x = self.act(x) 2025-09-07T07:19:15.0407595Z 2025-09-07T07:19:15.0407684Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0407805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0408148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0408225Z return mod(*inputs) 2025-09-07T07:19:15.0408471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0408586Z x = self.forward_features(x) 2025-09-07T07:19:15.0408862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0408934Z x = self.blocks(x) 2025-09-07T07:19:15.0409203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0409287Z x = self.conv_dw(x) 2025-09-07T07:19:15.0409517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0409644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0409897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0410010Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0410043Z 2025-09-07T07:19:15.0410131Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0410241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0410462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0410532Z return mod(*inputs) 2025-09-07T07:19:15.0410778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0410855Z x = self.forward_features(x) 2025-09-07T07:19:15.0411111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0411192Z x = self.blocks(x) 2025-09-07T07:19:15.0411440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0411520Z x = self.conv_dw(x) 2025-09-07T07:19:15.0411756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0411875Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0412122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0412259Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0412263Z 2025-09-07T07:19:15.0412364Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0412478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0412694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0412775Z return mod(*inputs) 2025-09-07T07:19:15.0413012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0413101Z x = self.forward_features(x) 2025-09-07T07:19:15.0413366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0413442Z x = self.blocks(x) 2025-09-07T07:19:15.0413697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0413768Z x = self.conv_dw(x) 2025-09-07T07:19:15.0414006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0414119Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0414371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0414479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0414482Z 2025-09-07T07:19:15.0414567Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0414687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0414896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0414997Z return mod(*inputs) 2025-09-07T07:19:15.0415236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0415315Z x = self.forward_features(x) 2025-09-07T07:19:15.0415598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0415671Z x = self.blocks(x) 2025-09-07T07:19:15.0415927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0416001Z x = self.conv_dw(x) 2025-09-07T07:19:15.0416237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0416358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0416595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0416736Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0416740Z 2025-09-07T07:19:15.0416830Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0416925Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0417014Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0417102Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0417224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0417442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0417522Z return mod(*inputs) 2025-09-07T07:19:15.0417753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0417831Z x = self.forward_features(x) 2025-09-07T07:19:15.0418097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0418171Z x = self.blocks(x) 2025-09-07T07:19:15.0418430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T07:19:15.0418503Z x = self.conv_dw(x) 2025-09-07T07:19:15.0418745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0418832Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0418836Z 2025-09-07T07:19:15.0418921Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0419046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0419262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0419335Z return mod(*inputs) 2025-09-07T07:19:15.0419573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0419655Z x = self.forward_features(x) 2025-09-07T07:19:15.0419923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0419994Z x = self.blocks(x) 2025-09-07T07:19:15.0420241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0420320Z x = self.se(x) 2025-09-07T07:19:15.0420566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T07:19:15.0420659Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T07:19:15.0420663Z 2025-09-07T07:19:15.0420777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0421000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0421072Z return mod(*inputs) 2025-09-07T07:19:15.0421302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0421420Z x = self.forward_features(x) 2025-09-07T07:19:15.0421677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0421753Z x = self.blocks(x) 2025-09-07T07:19:15.0422032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0422102Z x = self.se(x) 2025-09-07T07:19:15.0422363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-09-07T07:19:15.0422445Z x_se = self.conv_reduce(x_se) 2025-09-07T07:19:15.0422448Z 2025-09-07T07:19:15.0422567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0422784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0422857Z return mod(*inputs) 2025-09-07T07:19:15.0423121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0423200Z x = self.forward_features(x) 2025-09-07T07:19:15.0423462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0423534Z x = self.blocks(x) 2025-09-07T07:19:15.0423779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0423861Z x = self.se(x) 2025-09-07T07:19:15.0424105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T07:19:15.0424188Z x_se = self.act1(x_se) 2025-09-07T07:19:15.0424192Z 2025-09-07T07:19:15.0424304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0424528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0424604Z return mod(*inputs) 2025-09-07T07:19:15.0424836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0424923Z x = self.forward_features(x) 2025-09-07T07:19:15.0425199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0425282Z x = self.blocks(x) 2025-09-07T07:19:15.0425530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0425600Z x = self.se(x) 2025-09-07T07:19:15.0425855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-09-07T07:19:15.0425936Z x_se = self.conv_expand(x_se) 2025-09-07T07:19:15.0425940Z 2025-09-07T07:19:15.0426062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0426279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0426356Z return mod(*inputs) 2025-09-07T07:19:15.0426596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0426677Z x = self.forward_features(x) 2025-09-07T07:19:15.0426945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0427020Z x = self.blocks(x) 2025-09-07T07:19:15.0427274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0427342Z x = self.se(x) 2025-09-07T07:19:15.0427588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0427676Z return x * self.gate(x_se) 2025-09-07T07:19:15.0427680Z 2025-09-07T07:19:15.0427793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0428038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0428112Z return mod(*inputs) 2025-09-07T07:19:15.0428340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0428428Z x = self.forward_features(x) 2025-09-07T07:19:15.0428709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0428788Z x = self.blocks(x) 2025-09-07T07:19:15.0429036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T07:19:15.0429104Z x = self.se(x) 2025-09-07T07:19:15.0429361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T07:19:15.0429440Z return x * self.gate(x_se) 2025-09-07T07:19:15.0429462Z 2025-09-07T07:19:15.0429561Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0429675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0429899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0429981Z return mod(*inputs) 2025-09-07T07:19:15.0430213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0430301Z x = self.forward_features(x) 2025-09-07T07:19:15.0430566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0430640Z x = self.blocks(x) 2025-09-07T07:19:15.0430886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0430962Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0431203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0431320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0431567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0431703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0431708Z 2025-09-07T07:19:15.0431798Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0431920Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0432141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0432221Z return mod(*inputs) 2025-09-07T07:19:15.0432453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0432533Z x = self.forward_features(x) 2025-09-07T07:19:15.0432806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0432879Z x = self.blocks(x) 2025-09-07T07:19:15.0433131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0433205Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0433440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T07:19:15.0433563Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0433801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T07:19:15.0433920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T07:19:15.0433924Z 2025-09-07T07:19:15.0434011Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0434104Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0434216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0434453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0434534Z return mod(*inputs) 2025-09-07T07:19:15.0434772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0434859Z x = self.forward_features(x) 2025-09-07T07:19:15.0435128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0435201Z x = self.blocks(x) 2025-09-07T07:19:15.0435453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T07:19:15.0435527Z x = self.conv_pwl(x) 2025-09-07T07:19:15.0435765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T07:19:15.0435842Z x = torch.cat(x_out, 1) 2025-09-07T07:19:15.0435846Z 2025-09-07T07:19:15.0435981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0436213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0436284Z return mod(*inputs) 2025-09-07T07:19:15.0436518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0436598Z x = self.forward_features(x) 2025-09-07T07:19:15.0436852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T07:19:15.0436930Z x = self.blocks(x) 2025-09-07T07:19:15.0437175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T07:19:15.0437265Z x = self.drop_path(x) + shortcut 2025-09-07T07:19:15.0437269Z 2025-09-07T07:19:15.0437383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0437616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0437692Z return mod(*inputs) 2025-09-07T07:19:15.0437922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T07:19:15.0438009Z x = self.forward_features(x) 2025-09-07T07:19:15.0438284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-09-07T07:19:15.0438368Z x = self.conv_head(x) 2025-09-07T07:19:15.0438373Z 2025-09-07T07:19:15.0438462Z cudagraph partition due to non gpu ops 2025-09-07T07:19:15.0438574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0438801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0438874Z return mod(*inputs) 2025-09-07T07:19:15.0439111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:19:15.0439194Z x = self.forward_head(x) 2025-09-07T07:19:15.0439444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T07:19:15.0439531Z x = self.global_pool(x) 2025-09-07T07:19:15.0439789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T07:19:15.0439872Z x = self.pool(x) 2025-09-07T07:19:15.0439875Z 2025-09-07T07:19:15.0439994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:19:15.0440216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:19:15.0440289Z return mod(*inputs) 2025-09-07T07:19:15.0440521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T07:19:15.0440610Z x = self.forward_head(x) 2025-09-07T07:19:15.0440857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-09-07T07:19:15.0440999Z return x if pre_logits else self.classifier(x) 2025-09-07T07:19:15.0441003Z 2025-09-07T07:19:38.3375754Z Compilation time (from dynamo_timed): 56.733773857 2025-09-07T07:19:38.3378452Z pass 2025-09-07T07:19:38.3381668Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:19:38.3382593Z TIMING: _recursive_pre_grad_passes:0.0129 _recursive_joint_graph_passes:0.23367 _recursive_post_grad_passes:0.17388 async_compile.wait:1.01532 code_gen:21.5587 inductor_compile:29.31163 backend_compile:45.84453 gc:0.00029 entire_frame_compile:56.73377 total_wall_time:56.73377 2025-09-07T07:19:38.3383942Z STATS: call_* op count: 551 | FakeTensorMode.__torch_dispatch__:20353 | attempt fast:194 | fast is_contiguous:194 | FakeTensor.__torch_dispatch__:8814 | ProxyTorchDispatchMode.__torch_dispatch__:7408 2025-09-07T07:19:38.3384716Z Dynamo produced 1 graphs covering 551 ops with 0 graph breaks (0 unique) 2025-09-07T07:19:43.9268751Z /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. 2025-09-07T07:19:43.9269730Z import pynvml # type: ignore[import] 2025-09-07T07:19:46.9337804Z 2025-09-07T07:19:47.0734081Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:19:47.0734339Z 2025-09-07T07:19:47.1534906Z model.safetensors: 0% 0.00/25.0M [00:00 B,H,W,C 2025-09-07T07:26:25.9068208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T07:26:25.9068565Z x = self.conv(x) 2025-09-07T07:26:25.9068678Z 2025-09-07T07:26:25.9068793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9069201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9069592Z return mod(*inputs) 2025-09-07T07:26:25.9069922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9070289Z x = self.forward_features(x) 2025-09-07T07:26:25.9070659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T07:26:25.9071096Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T07:26:25.9071516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T07:26:25.9071870Z x = self.conv(x) 2025-09-07T07:26:25.9071980Z 2025-09-07T07:26:25.9072104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9072506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9072875Z return mod(*inputs) 2025-09-07T07:26:25.9073204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9073565Z x = self.forward_features(x) 2025-09-07T07:26:25.9073927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T07:26:25.9074384Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T07:26:25.9074792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T07:26:25.9075136Z x = self.conv(x) 2025-09-07T07:26:25.9075244Z 2025-09-07T07:26:25.9075369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9075797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9076178Z return mod(*inputs) 2025-09-07T07:26:25.9076512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9076919Z x = self.forward_features(x) 2025-09-07T07:26:25.9077283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T07:26:25.9077722Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T07:26:25.9078115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T07:26:25.9078456Z x = self.conv(x) 2025-09-07T07:26:25.9078568Z 2025-09-07T07:26:25.9078694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9079083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9079444Z return mod(*inputs) 2025-09-07T07:26:25.9079768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9080121Z x = self.forward_features(x) 2025-09-07T07:26:25.9080490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T07:26:25.9080961Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T07:26:25.9081355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T07:26:25.9081699Z x = self.conv(x) 2025-09-07T07:26:25.9081829Z 2025-09-07T07:26:25.9081951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9082339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9082694Z return mod(*inputs) 2025-09-07T07:26:25.9083016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9083369Z x = self.forward_features(x) 2025-09-07T07:26:25.9083737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T07:26:25.9084183Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T07:26:25.9084572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T07:26:25.9084912Z x = self.conv(x) 2025-09-07T07:26:25.9085019Z 2025-09-07T07:26:25.9085144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9085528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9085885Z return mod(*inputs) 2025-09-07T07:26:25.9086205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9086553Z x = self.forward_features(x) 2025-09-07T07:26:25.9086920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T07:26:25.9087346Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T07:26:25.9087731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-09-07T07:26:25.9088199Z x = self.proj(x) # B, C, H, W 2025-09-07T07:26:25.9088358Z 2025-09-07T07:26:25.9088485Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9088913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9089275Z return mod(*inputs) 2025-09-07T07:26:25.9089599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9089942Z x = self.forward_features(x) 2025-09-07T07:26:25.9090305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9090703Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9091069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9091432Z x = block(x) 2025-09-07T07:26:25.9091740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9092108Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9092476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T07:26:25.9092876Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T07:26:25.9093073Z 2025-09-07T07:26:25.9093192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9093568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9093923Z return mod(*inputs) 2025-09-07T07:26:25.9094250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9094620Z x = self.forward_features(x) 2025-09-07T07:26:25.9094984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9095381Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9095737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9096102Z x = block(x) 2025-09-07T07:26:25.9096421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9096776Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9097136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-09-07T07:26:25.9097484Z attn = self.attn(attn).reshape( 2025-09-07T07:26:25.9097624Z 2025-09-07T07:26:25.9097747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9098137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9098480Z return mod(*inputs) 2025-09-07T07:26:25.9098780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9099128Z x = self.forward_features(x) 2025-09-07T07:26:25.9099469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9099813Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9100150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9100506Z x = block(x) 2025-09-07T07:26:25.9100809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9101176Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9101532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-09-07T07:26:25.9101890Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-09-07T07:26:25.9102059Z 2025-09-07T07:26:25.9102173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9102565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9102908Z return mod(*inputs) 2025-09-07T07:26:25.9103246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9103596Z x = self.forward_features(x) 2025-09-07T07:26:25.9103956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9104333Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9104681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9105036Z x = block(x) 2025-09-07T07:26:25.9105361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9105718Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9106071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9106504Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9106735Z 2025-09-07T07:26:25.9106849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9107245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9107587Z return mod(*inputs) 2025-09-07T07:26:25.9107901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9108223Z x = self.forward_features(x) 2025-09-07T07:26:25.9108562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9108913Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9109252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9109634Z x = block(x) 2025-09-07T07:26:25.9109943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9110356Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9110697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9111089Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9111307Z 2025-09-07T07:26:25.9111418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9111807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9112171Z return mod(*inputs) 2025-09-07T07:26:25.9112485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9112845Z x = self.forward_features(x) 2025-09-07T07:26:25.9113208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9113578Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9113930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9114285Z x = block(x) 2025-09-07T07:26:25.9114595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9114965Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9115323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9115746Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9115967Z 2025-09-07T07:26:25.9116057Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9116294Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9116556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9116943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9117284Z return mod(*inputs) 2025-09-07T07:26:25.9117618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9117958Z x = self.forward_features(x) 2025-09-07T07:26:25.9118321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9118687Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9119046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9119400Z x = block(x) 2025-09-07T07:26:25.9119700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9120063Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9120417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T07:26:25.9120769Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T07:26:25.9120919Z 2025-09-07T07:26:25.9121032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9121418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9121765Z return mod(*inputs) 2025-09-07T07:26:25.9122070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9122413Z x = self.forward_features(x) 2025-09-07T07:26:25.9122775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9123149Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9123491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9123869Z x = block(x) 2025-09-07T07:26:25.9124165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9124520Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9124880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T07:26:25.9125219Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T07:26:25.9125369Z 2025-09-07T07:26:25.9125480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9125865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9126212Z return mod(*inputs) 2025-09-07T07:26:25.9126521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9126861Z x = self.forward_features(x) 2025-09-07T07:26:25.9127259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9127636Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9128103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9128476Z x = block(x) 2025-09-07T07:26:25.9128806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9129196Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9129576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9129928Z x = self.fc1(x) 2025-09-07T07:26:25.9130044Z 2025-09-07T07:26:25.9130162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9130573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9130948Z return mod(*inputs) 2025-09-07T07:26:25.9131260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9131620Z x = self.forward_features(x) 2025-09-07T07:26:25.9132021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9132397Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9132758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9133122Z x = block(x) 2025-09-07T07:26:25.9133424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9133813Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9134188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9134525Z x = self.act(x) 2025-09-07T07:26:25.9134638Z 2025-09-07T07:26:25.9134754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9135140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9135493Z return mod(*inputs) 2025-09-07T07:26:25.9135818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9136137Z x = self.forward_features(x) 2025-09-07T07:26:25.9136476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9136820Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9137164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9137533Z x = block(x) 2025-09-07T07:26:25.9137833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9138195Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9138598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9138925Z x = self.fc2(x) 2025-09-07T07:26:25.9139026Z 2025-09-07T07:26:25.9139137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9139531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9139860Z return mod(*inputs) 2025-09-07T07:26:25.9140155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9140471Z x = self.forward_features(x) 2025-09-07T07:26:25.9140812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9141160Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9141494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9141850Z x = block(x) 2025-09-07T07:26:25.9142129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9142477Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9142842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T07:26:25.9143233Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T07:26:25.9143417Z 2025-09-07T07:26:25.9143529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9143921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9144293Z return mod(*inputs) 2025-09-07T07:26:25.9144612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9144955Z x = self.forward_features(x) 2025-09-07T07:26:25.9145309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9145681Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9146204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9146581Z x = block(x) 2025-09-07T07:26:25.9146940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9147288Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9147627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-09-07T07:26:25.9147952Z attn = self.attn(attn).reshape( 2025-09-07T07:26:25.9148083Z 2025-09-07T07:26:25.9148224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9148586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9148918Z return mod(*inputs) 2025-09-07T07:26:25.9149220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9149544Z x = self.forward_features(x) 2025-09-07T07:26:25.9149878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9150230Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9150559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9150889Z x = block(x) 2025-09-07T07:26:25.9151172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9151500Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9151860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-09-07T07:26:25.9152219Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-09-07T07:26:25.9152415Z 2025-09-07T07:26:25.9152534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9152913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9153262Z return mod(*inputs) 2025-09-07T07:26:25.9153579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9153903Z x = self.forward_features(x) 2025-09-07T07:26:25.9154254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9154617Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9154968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9155319Z x = block(x) 2025-09-07T07:26:25.9155618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9155970Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9156363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9156784Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9157004Z 2025-09-07T07:26:25.9157126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9157516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9157857Z return mod(*inputs) 2025-09-07T07:26:25.9158170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9158510Z x = self.forward_features(x) 2025-09-07T07:26:25.9158873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9159239Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9159584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9159936Z x = block(x) 2025-09-07T07:26:25.9160236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9160619Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9160970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9161388Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9161612Z 2025-09-07T07:26:25.9161723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9162132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9162478Z return mod(*inputs) 2025-09-07T07:26:25.9162782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9163128Z x = self.forward_features(x) 2025-09-07T07:26:25.9163487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9163866Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9164210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9164577Z x = block(x) 2025-09-07T07:26:25.9164875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9165235Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9165594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9166004Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9166227Z 2025-09-07T07:26:25.9166316Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9167562Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9167825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9168305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9168670Z return mod(*inputs) 2025-09-07T07:26:25.9168998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9169347Z x = self.forward_features(x) 2025-09-07T07:26:25.9169713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9170149Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9170489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9170824Z x = block(x) 2025-09-07T07:26:25.9171114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9171483Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9171831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T07:26:25.9172179Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T07:26:25.9172322Z 2025-09-07T07:26:25.9172443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9172830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9173170Z return mod(*inputs) 2025-09-07T07:26:25.9173495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9173838Z x = self.forward_features(x) 2025-09-07T07:26:25.9174206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9174565Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9174907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9175259Z x = block(x) 2025-09-07T07:26:25.9175558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9175953Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9176315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T07:26:25.9176661Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T07:26:25.9176802Z 2025-09-07T07:26:25.9176923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9177364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9177712Z return mod(*inputs) 2025-09-07T07:26:25.9178012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9178338Z x = self.forward_features(x) 2025-09-07T07:26:25.9178676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9179022Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9179346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9179683Z x = block(x) 2025-09-07T07:26:25.9179966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9180308Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9180646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9180978Z x = self.fc1(x) 2025-09-07T07:26:25.9181089Z 2025-09-07T07:26:25.9181203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9181588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9181957Z return mod(*inputs) 2025-09-07T07:26:25.9182263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9182602Z x = self.forward_features(x) 2025-09-07T07:26:25.9182966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9183352Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9183705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9184064Z x = block(x) 2025-09-07T07:26:25.9184368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9184746Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9185092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9185462Z x = self.act(x) 2025-09-07T07:26:25.9185572Z 2025-09-07T07:26:25.9185684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9186070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9186413Z return mod(*inputs) 2025-09-07T07:26:25.9186720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9187062Z x = self.forward_features(x) 2025-09-07T07:26:25.9187420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9187800Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9188143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9188495Z x = block(x) 2025-09-07T07:26:25.9188792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9189156Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9189511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9189831Z x = self.fc2(x) 2025-09-07T07:26:25.9189941Z 2025-09-07T07:26:25.9190074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9190467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9190815Z return mod(*inputs) 2025-09-07T07:26:25.9191120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9191465Z x = self.forward_features(x) 2025-09-07T07:26:25.9191847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9192220Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9192571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9192918Z x = block(x) 2025-09-07T07:26:25.9193217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9193577Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9193937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T07:26:25.9194320Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T07:26:25.9194502Z 2025-09-07T07:26:25.9194609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9194989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9195336Z return mod(*inputs) 2025-09-07T07:26:25.9195648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9195977Z x = self.forward_features(x) 2025-09-07T07:26:25.9196364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9196716Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9197048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9197378Z x = block(x) 2025-09-07T07:26:25.9197680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9198046Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9198403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-09-07T07:26:25.9198753Z attn = self.attn(attn).reshape( 2025-09-07T07:26:25.9198886Z 2025-09-07T07:26:25.9198992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9199356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9199707Z return mod(*inputs) 2025-09-07T07:26:25.9200004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9200321Z x = self.forward_features(x) 2025-09-07T07:26:25.9200680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9201046Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9201391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9201759Z x = block(x) 2025-09-07T07:26:25.9202050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9202408Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9202762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-09-07T07:26:25.9203116Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-09-07T07:26:25.9203269Z 2025-09-07T07:26:25.9203381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9203765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9204109Z return mod(*inputs) 2025-09-07T07:26:25.9204440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9204778Z x = self.forward_features(x) 2025-09-07T07:26:25.9205133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9205506Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9205872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9206221Z x = block(x) 2025-09-07T07:26:25.9206520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9206889Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9207255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9207691Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9208004Z 2025-09-07T07:26:25.9208133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9208514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9208863Z return mod(*inputs) 2025-09-07T07:26:25.9209179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9209536Z x = self.forward_features(x) 2025-09-07T07:26:25.9209871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9210223Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9210616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9210979Z x = block(x) 2025-09-07T07:26:25.9211285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9211657Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9212010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9212428Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9212647Z 2025-09-07T07:26:25.9212766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9213162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9213500Z return mod(*inputs) 2025-09-07T07:26:25.9213817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9214181Z x = self.forward_features(x) 2025-09-07T07:26:25.9214541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9214934Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9215297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9215650Z x = block(x) 2025-09-07T07:26:25.9215952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9216317Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9216668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9217086Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9217313Z 2025-09-07T07:26:25.9217402Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9217636Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9217885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9218295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9218650Z return mod(*inputs) 2025-09-07T07:26:25.9218967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9219318Z x = self.forward_features(x) 2025-09-07T07:26:25.9219717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9220087Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9220464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9220831Z x = block(x) 2025-09-07T07:26:25.9221125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9221488Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9221851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T07:26:25.9222199Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T07:26:25.9222343Z 2025-09-07T07:26:25.9222463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9222845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9223192Z return mod(*inputs) 2025-09-07T07:26:25.9223510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9223836Z x = self.forward_features(x) 2025-09-07T07:26:25.9224167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9224526Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9224881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9225213Z x = block(x) 2025-09-07T07:26:25.9225502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9225833Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9226169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T07:26:25.9226496Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T07:26:25.9226628Z 2025-09-07T07:26:25.9226740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9227097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9227428Z return mod(*inputs) 2025-09-07T07:26:25.9227724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9228073Z x = self.forward_features(x) 2025-09-07T07:26:25.9228416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9228758Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9229089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9229419Z x = block(x) 2025-09-07T07:26:25.9229703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9230039Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9230379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9230691Z x = self.fc1(x) 2025-09-07T07:26:25.9230789Z 2025-09-07T07:26:25.9230908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9231296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9231638Z return mod(*inputs) 2025-09-07T07:26:25.9231950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9232291Z x = self.forward_features(x) 2025-09-07T07:26:25.9232674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9233050Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9233402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9233765Z x = block(x) 2025-09-07T07:26:25.9234086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9234455Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9234821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9235153Z x = self.act(x) 2025-09-07T07:26:25.9235256Z 2025-09-07T07:26:25.9235373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9235769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9236121Z return mod(*inputs) 2025-09-07T07:26:25.9236434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9236783Z x = self.forward_features(x) 2025-09-07T07:26:25.9237142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9237511Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9237871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9238228Z x = block(x) 2025-09-07T07:26:25.9238525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9238927Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9239287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9239629Z x = self.fc2(x) 2025-09-07T07:26:25.9239739Z 2025-09-07T07:26:25.9239851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9240240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9240594Z return mod(*inputs) 2025-09-07T07:26:25.9240920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9241264Z x = self.forward_features(x) 2025-09-07T07:26:25.9241625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9242006Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9242391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9242761Z x = block(x) 2025-09-07T07:26:25.9243069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9243437Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9243790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T07:26:25.9244179Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T07:26:25.9244367Z 2025-09-07T07:26:25.9244478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9244866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9245212Z return mod(*inputs) 2025-09-07T07:26:25.9245517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9246107Z x = self.forward_features(x) 2025-09-07T07:26:25.9246489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9246877Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9247305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9247665Z x = block(x) 2025-09-07T07:26:25.9248034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9248422Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9248794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-09-07T07:26:25.9249181Z attn = self.attn(attn).reshape( 2025-09-07T07:26:25.9249335Z 2025-09-07T07:26:25.9249451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9249854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9250225Z return mod(*inputs) 2025-09-07T07:26:25.9250531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9250876Z x = self.forward_features(x) 2025-09-07T07:26:25.9251239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9251622Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9251977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9252343Z x = block(x) 2025-09-07T07:26:25.9252652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9253022Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9253401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-09-07T07:26:25.9253786Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-09-07T07:26:25.9253950Z 2025-09-07T07:26:25.9254061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9254449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9254803Z return mod(*inputs) 2025-09-07T07:26:25.9255118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9255454Z x = self.forward_features(x) 2025-09-07T07:26:25.9255815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9256183Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9256536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9256880Z x = block(x) 2025-09-07T07:26:25.9257180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9257582Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9257942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9258367Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9258587Z 2025-09-07T07:26:25.9258700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9259087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9259435Z return mod(*inputs) 2025-09-07T07:26:25.9259750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9260090Z x = self.forward_features(x) 2025-09-07T07:26:25.9260443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9260815Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9261167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9261521Z x = block(x) 2025-09-07T07:26:25.9261840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9262200Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9262566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9262990Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9263213Z 2025-09-07T07:26:25.9263358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9263739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9264089Z return mod(*inputs) 2025-09-07T07:26:25.9264413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9264763Z x = self.forward_features(x) 2025-09-07T07:26:25.9265123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9265502Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9265858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9266236Z x = block(x) 2025-09-07T07:26:25.9266541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9266901Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9267265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T07:26:25.9267687Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T07:26:25.9267935Z 2025-09-07T07:26:25.9268032Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9268267Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9268531Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9268925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9269282Z return mod(*inputs) 2025-09-07T07:26:25.9269601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9269939Z x = self.forward_features(x) 2025-09-07T07:26:25.9270307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9270682Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9271038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9271387Z x = block(x) 2025-09-07T07:26:25.9271713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9272069Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9272427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T07:26:25.9272775Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T07:26:25.9272916Z 2025-09-07T07:26:25.9273027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9273412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9273760Z return mod(*inputs) 2025-09-07T07:26:25.9274073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9274403Z x = self.forward_features(x) 2025-09-07T07:26:25.9274771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9275140Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9275493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9275855Z x = block(x) 2025-09-07T07:26:25.9276185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T07:26:25.9276566Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9276942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T07:26:25.9277299Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T07:26:25.9277455Z 2025-09-07T07:26:25.9277567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9277976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9278335Z return mod(*inputs) 2025-09-07T07:26:25.9278648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9278990Z x = self.forward_features(x) 2025-09-07T07:26:25.9279344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9279724Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9280070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9280418Z x = block(x) 2025-09-07T07:26:25.9280717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9281086Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9281439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9281765Z x = self.fc1(x) 2025-09-07T07:26:25.9281867Z 2025-09-07T07:26:25.9281986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9282400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9282752Z return mod(*inputs) 2025-09-07T07:26:25.9283064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9283411Z x = self.forward_features(x) 2025-09-07T07:26:25.9283760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9284134Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9284483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9284831Z x = block(x) 2025-09-07T07:26:25.9285120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9285484Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9285849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9286215Z x = self.act(x) 2025-09-07T07:26:25.9286321Z 2025-09-07T07:26:25.9286444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9286835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9287194Z return mod(*inputs) 2025-09-07T07:26:25.9287515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9287864Z x = self.forward_features(x) 2025-09-07T07:26:25.9288319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9288716Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9289084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9289460Z x = block(x) 2025-09-07T07:26:25.9289766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9290122Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9290486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9290860Z x = self.fc2(x) 2025-09-07T07:26:25.9290968Z 2025-09-07T07:26:25.9291091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9291477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9291829Z return mod(*inputs) 2025-09-07T07:26:25.9292151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9292532Z x = self.forward_features(x) 2025-09-07T07:26:25.9292907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9293287Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9293656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9294022Z x = block(x) 2025-09-07T07:26:25.9294332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-09-07T07:26:25.9294699Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9294870Z 2025-09-07T07:26:25.9294985Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9295386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9295762Z return mod(*inputs) 2025-09-07T07:26:25.9296095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9296450Z x = self.forward_features(x) 2025-09-07T07:26:25.9296829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9297230Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9297645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9298009Z x = block(x) 2025-09-07T07:26:25.9298324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-09-07T07:26:25.9298679Z x = self.proj(x) # B, C, H, W 2025-09-07T07:26:25.9298815Z 2025-09-07T07:26:25.9298938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9299342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9299740Z return mod(*inputs) 2025-09-07T07:26:25.9300061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9300414Z x = self.forward_features(x) 2025-09-07T07:26:25.9300782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9301182Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9301541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9301903Z x = block(x) 2025-09-07T07:26:25.9302217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9302584Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9302943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9303381Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9303619Z 2025-09-07T07:26:25.9303711Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9303969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9304357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9304728Z return mod(*inputs) 2025-09-07T07:26:25.9305039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9305377Z x = self.forward_features(x) 2025-09-07T07:26:25.9305752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9306113Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9306464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9306828Z x = block(x) 2025-09-07T07:26:25.9307147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9307498Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9307855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9308207Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9308348Z 2025-09-07T07:26:25.9308468Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9308851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9309193Z return mod(*inputs) 2025-09-07T07:26:25.9309505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9309842Z x = self.forward_features(x) 2025-09-07T07:26:25.9310197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9310573Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9310923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9311287Z x = block(x) 2025-09-07T07:26:25.9311582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9311972Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9312322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9312653Z x = self.proj(x) 2025-09-07T07:26:25.9312770Z 2025-09-07T07:26:25.9312881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9313268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9313608Z return mod(*inputs) 2025-09-07T07:26:25.9313922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9314264Z x = self.forward_features(x) 2025-09-07T07:26:25.9314626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9315009Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9315378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9315736Z x = block(x) 2025-09-07T07:26:25.9316039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9316407Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9316767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9317094Z x = self.fc1(x) 2025-09-07T07:26:25.9317202Z 2025-09-07T07:26:25.9317311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9317695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9318041Z return mod(*inputs) 2025-09-07T07:26:25.9318346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9318683Z x = self.forward_features(x) 2025-09-07T07:26:25.9319044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9319407Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9319774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9320106Z x = block(x) 2025-09-07T07:26:25.9320402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9320766Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9321127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9321467Z x = self.act(x) 2025-09-07T07:26:25.9321600Z 2025-09-07T07:26:25.9321713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9322097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9322444Z return mod(*inputs) 2025-09-07T07:26:25.9322745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9323083Z x = self.forward_features(x) 2025-09-07T07:26:25.9323438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9323804Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9324148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9324501Z x = block(x) 2025-09-07T07:26:25.9324796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9325153Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9325507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9325826Z x = self.fc2(x) 2025-09-07T07:26:25.9325957Z 2025-09-07T07:26:25.9326069Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9326454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9326832Z return mod(*inputs) 2025-09-07T07:26:25.9327148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9327494Z x = self.forward_features(x) 2025-09-07T07:26:25.9327859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9328355Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9328722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9329082Z x = block(x) 2025-09-07T07:26:25.9329368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9329736Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9330075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9330480Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9330710Z 2025-09-07T07:26:25.9330795Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9331045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9331407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9331749Z return mod(*inputs) 2025-09-07T07:26:25.9332055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9332398Z x = self.forward_features(x) 2025-09-07T07:26:25.9332755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9333127Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9333471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9333811Z x = block(x) 2025-09-07T07:26:25.9334116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9334460Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9334809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9335151Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9335301Z 2025-09-07T07:26:25.9335411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9335813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9336166Z return mod(*inputs) 2025-09-07T07:26:25.9336471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9336822Z x = self.forward_features(x) 2025-09-07T07:26:25.9337182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9337558Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9337910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9338280Z x = block(x) 2025-09-07T07:26:25.9338588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9338955Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9339323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9339650Z x = self.proj(x) 2025-09-07T07:26:25.9339766Z 2025-09-07T07:26:25.9339875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9340288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9340632Z return mod(*inputs) 2025-09-07T07:26:25.9340953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9341297Z x = self.forward_features(x) 2025-09-07T07:26:25.9341659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9342035Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9342390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9342742Z x = block(x) 2025-09-07T07:26:25.9343052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9343414Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9343570Z 2025-09-07T07:26:25.9343689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9344096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9344441Z return mod(*inputs) 2025-09-07T07:26:25.9344753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9345100Z x = self.forward_features(x) 2025-09-07T07:26:25.9345457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9346017Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9346389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9346756Z x = block(x) 2025-09-07T07:26:25.9347064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9347424Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9347778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9348109Z x = self.fc1(x) 2025-09-07T07:26:25.9348219Z 2025-09-07T07:26:25.9348331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9348795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9349137Z return mod(*inputs) 2025-09-07T07:26:25.9349452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9349789Z x = self.forward_features(x) 2025-09-07T07:26:25.9350150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9350553Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9350901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9351254Z x = block(x) 2025-09-07T07:26:25.9351557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9351915Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9352264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9352596Z x = self.act(x) 2025-09-07T07:26:25.9352706Z 2025-09-07T07:26:25.9352817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9353201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9353545Z return mod(*inputs) 2025-09-07T07:26:25.9353849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9354186Z x = self.forward_features(x) 2025-09-07T07:26:25.9354540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9354933Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9355270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9355618Z x = block(x) 2025-09-07T07:26:25.9355914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9356274Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9356627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9356946Z x = self.fc2(x) 2025-09-07T07:26:25.9357055Z 2025-09-07T07:26:25.9357164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9357547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9357896Z return mod(*inputs) 2025-09-07T07:26:25.9358201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9358579Z x = self.forward_features(x) 2025-09-07T07:26:25.9358942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9359309Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9359658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9359998Z x = block(x) 2025-09-07T07:26:25.9360294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9360655Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9361014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9361438Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9361676Z 2025-09-07T07:26:25.9361768Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9362026Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9362415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9362770Z return mod(*inputs) 2025-09-07T07:26:25.9363121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9363478Z x = self.forward_features(x) 2025-09-07T07:26:25.9363855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9364225Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9364587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9364943Z x = block(x) 2025-09-07T07:26:25.9365251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9365625Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9365990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9366342Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9366496Z 2025-09-07T07:26:25.9366614Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9366843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9366917Z return mod(*inputs) 2025-09-07T07:26:25.9367119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9367207Z x = self.forward_features(x) 2025-09-07T07:26:25.9367443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9367528Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9367755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9367843Z x = block(x) 2025-09-07T07:26:25.9368127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9368231Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9368441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9368515Z x = self.proj(x) 2025-09-07T07:26:25.9368519Z 2025-09-07T07:26:25.9368634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9368858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9368932Z return mod(*inputs) 2025-09-07T07:26:25.9369143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9369222Z x = self.forward_features(x) 2025-09-07T07:26:25.9369478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9369567Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9369792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9369871Z x = block(x) 2025-09-07T07:26:25.9370072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9370173Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9370391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9370462Z x = self.fc1(x) 2025-09-07T07:26:25.9370466Z 2025-09-07T07:26:25.9370590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9370807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9370885Z return mod(*inputs) 2025-09-07T07:26:25.9371086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9371163Z x = self.forward_features(x) 2025-09-07T07:26:25.9371403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9371500Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9371735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9371803Z x = block(x) 2025-09-07T07:26:25.9372005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9372113Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9372332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9372410Z x = self.act(x) 2025-09-07T07:26:25.9372415Z 2025-09-07T07:26:25.9372532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9372753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9372834Z return mod(*inputs) 2025-09-07T07:26:25.9373037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9373124Z x = self.forward_features(x) 2025-09-07T07:26:25.9373357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9373432Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9373666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9373735Z x = block(x) 2025-09-07T07:26:25.9373945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9374046Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9374271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9374349Z x = self.fc2(x) 2025-09-07T07:26:25.9374353Z 2025-09-07T07:26:25.9374467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9374693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9374764Z return mod(*inputs) 2025-09-07T07:26:25.9374973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9375052Z x = self.forward_features(x) 2025-09-07T07:26:25.9375285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9375368Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9375596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9375688Z x = block(x) 2025-09-07T07:26:25.9375891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9375991Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9376202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9376379Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9376382Z 2025-09-07T07:26:25.9376479Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9376592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9376811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9376890Z return mod(*inputs) 2025-09-07T07:26:25.9377095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9377182Z x = self.forward_features(x) 2025-09-07T07:26:25.9377423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9377508Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9377758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9377825Z x = block(x) 2025-09-07T07:26:25.9378033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9378133Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9378340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9378451Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9378455Z 2025-09-07T07:26:25.9378571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9378795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9378870Z return mod(*inputs) 2025-09-07T07:26:25.9379078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9379155Z x = self.forward_features(x) 2025-09-07T07:26:25.9379386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9379472Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9379708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9379782Z x = block(x) 2025-09-07T07:26:25.9379985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9380092Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9380304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9380392Z x = self.proj(x) 2025-09-07T07:26:25.9380396Z 2025-09-07T07:26:25.9380511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9380718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9380797Z return mod(*inputs) 2025-09-07T07:26:25.9381003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9381079Z x = self.forward_features(x) 2025-09-07T07:26:25.9381312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9381388Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9381626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9381691Z x = block(x) 2025-09-07T07:26:25.9381894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9382027Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9382031Z 2025-09-07T07:26:25.9382138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9382372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9382444Z return mod(*inputs) 2025-09-07T07:26:25.9382648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9382732Z x = self.forward_features(x) 2025-09-07T07:26:25.9382956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9383039Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9383267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9383332Z x = block(x) 2025-09-07T07:26:25.9383549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9383650Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9383851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9383935Z x = self.fc1(x) 2025-09-07T07:26:25.9383940Z 2025-09-07T07:26:25.9384052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9384280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9384351Z return mod(*inputs) 2025-09-07T07:26:25.9384558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9384650Z x = self.forward_features(x) 2025-09-07T07:26:25.9384883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9384957Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9385177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9385251Z x = block(x) 2025-09-07T07:26:25.9385456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9385563Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9385768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9385835Z x = self.act(x) 2025-09-07T07:26:25.9385839Z 2025-09-07T07:26:25.9385957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9386178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9386255Z return mod(*inputs) 2025-09-07T07:26:25.9386461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9386561Z x = self.forward_features(x) 2025-09-07T07:26:25.9386791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9386866Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9387101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9387168Z x = block(x) 2025-09-07T07:26:25.9387375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9387485Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9387690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9387765Z x = self.fc2(x) 2025-09-07T07:26:25.9387768Z 2025-09-07T07:26:25.9387879Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9388099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9388189Z return mod(*inputs) 2025-09-07T07:26:25.9388402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9388484Z x = self.forward_features(x) 2025-09-07T07:26:25.9388710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9388792Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9389012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9389076Z x = block(x) 2025-09-07T07:26:25.9389281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9389379Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9389581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9389755Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9389759Z 2025-09-07T07:26:25.9389847Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9389965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9390193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9390274Z return mod(*inputs) 2025-09-07T07:26:25.9390468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9390545Z x = self.forward_features(x) 2025-09-07T07:26:25.9390791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9390867Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9391094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9391161Z x = block(x) 2025-09-07T07:26:25.9391356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9391462Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9391659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9391751Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9391754Z 2025-09-07T07:26:25.9391864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9392083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9392153Z return mod(*inputs) 2025-09-07T07:26:25.9392350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9392435Z x = self.forward_features(x) 2025-09-07T07:26:25.9392662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9392768Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9392998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9393066Z x = block(x) 2025-09-07T07:26:25.9393280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9393379Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9393593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9393666Z x = self.proj(x) 2025-09-07T07:26:25.9393670Z 2025-09-07T07:26:25.9393782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9394022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9394093Z return mod(*inputs) 2025-09-07T07:26:25.9394299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9394398Z x = self.forward_features(x) 2025-09-07T07:26:25.9394633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9394710Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9394932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9395005Z x = block(x) 2025-09-07T07:26:25.9395202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9395306Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9395505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9395572Z x = self.fc1(x) 2025-09-07T07:26:25.9395575Z 2025-09-07T07:26:25.9395696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9395908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9395985Z return mod(*inputs) 2025-09-07T07:26:25.9396181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9396275Z x = self.forward_features(x) 2025-09-07T07:26:25.9396522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9396596Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9396818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9396883Z x = block(x) 2025-09-07T07:26:25.9397093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9397201Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9397393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9397471Z x = self.act(x) 2025-09-07T07:26:25.9397475Z 2025-09-07T07:26:25.9397585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9397796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9397874Z return mod(*inputs) 2025-09-07T07:26:25.9398067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9398150Z x = self.forward_features(x) 2025-09-07T07:26:25.9398374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9398459Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9398683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9398748Z x = block(x) 2025-09-07T07:26:25.9399010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9399109Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9399313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9399383Z x = self.fc2(x) 2025-09-07T07:26:25.9399387Z 2025-09-07T07:26:25.9399497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9399718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9399790Z return mod(*inputs) 2025-09-07T07:26:25.9399991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9400069Z x = self.forward_features(x) 2025-09-07T07:26:25.9400298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9400405Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9400630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9400706Z x = block(x) 2025-09-07T07:26:25.9400907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9401007Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9401216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9401387Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9401391Z 2025-09-07T07:26:25.9401491Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9401604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9401828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9401903Z return mod(*inputs) 2025-09-07T07:26:25.9402101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9402185Z x = self.forward_features(x) 2025-09-07T07:26:25.9402432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9402516Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9402745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9402811Z x = block(x) 2025-09-07T07:26:25.9403020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9403136Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9419759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9420014Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9420050Z 2025-09-07T07:26:25.9420200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9420454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9420537Z return mod(*inputs) 2025-09-07T07:26:25.9420794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9420881Z x = self.forward_features(x) 2025-09-07T07:26:25.9421125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9421214Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9421445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9421520Z x = block(x) 2025-09-07T07:26:25.9421724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9421951Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9422165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9422237Z x = self.proj(x) 2025-09-07T07:26:25.9422242Z 2025-09-07T07:26:25.9422370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9422593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9422675Z return mod(*inputs) 2025-09-07T07:26:25.9422875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9422956Z x = self.forward_features(x) 2025-09-07T07:26:25.9423200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9423279Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9423510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9423613Z x = block(x) 2025-09-07T07:26:25.9423817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9423929Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9423933Z 2025-09-07T07:26:25.9424050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9424282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9424354Z return mod(*inputs) 2025-09-07T07:26:25.9424559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9424647Z x = self.forward_features(x) 2025-09-07T07:26:25.9424883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9424968Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9425203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9425272Z x = block(x) 2025-09-07T07:26:25.9425483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9425620Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9425830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9425901Z x = self.fc1(x) 2025-09-07T07:26:25.9425905Z 2025-09-07T07:26:25.9426025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9426238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9426341Z return mod(*inputs) 2025-09-07T07:26:25.9426546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9426624Z x = self.forward_features(x) 2025-09-07T07:26:25.9426858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9426935Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9427155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9427232Z x = block(x) 2025-09-07T07:26:25.9427427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9427533Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9427732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9427799Z x = self.act(x) 2025-09-07T07:26:25.9427803Z 2025-09-07T07:26:25.9427926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9428138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9428238Z return mod(*inputs) 2025-09-07T07:26:25.9428434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9428514Z x = self.forward_features(x) 2025-09-07T07:26:25.9428750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9428825Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9429053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9429118Z x = block(x) 2025-09-07T07:26:25.9429311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9429420Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9429617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9429694Z x = self.fc2(x) 2025-09-07T07:26:25.9429718Z 2025-09-07T07:26:25.9429830Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9430048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9430119Z return mod(*inputs) 2025-09-07T07:26:25.9430316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9430400Z x = self.forward_features(x) 2025-09-07T07:26:25.9430625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9430710Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9430930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9430997Z x = block(x) 2025-09-07T07:26:25.9431202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9431301Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9431508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9431693Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9431697Z 2025-09-07T07:26:25.9431811Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9431935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9432145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9432226Z return mod(*inputs) 2025-09-07T07:26:25.9432423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9432517Z x = self.forward_features(x) 2025-09-07T07:26:25.9432752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9432833Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9433059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9433125Z x = block(x) 2025-09-07T07:26:25.9433329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9433432Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9433631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9433732Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9433736Z 2025-09-07T07:26:25.9433851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9434077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9434150Z return mod(*inputs) 2025-09-07T07:26:25.9434352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9434461Z x = self.forward_features(x) 2025-09-07T07:26:25.9434697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9434783Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9435012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9435078Z x = block(x) 2025-09-07T07:26:25.9435291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9435401Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9435607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9435680Z x = self.proj(x) 2025-09-07T07:26:25.9435683Z 2025-09-07T07:26:25.9435795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9436021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9436115Z return mod(*inputs) 2025-09-07T07:26:25.9436325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9436406Z x = self.forward_features(x) 2025-09-07T07:26:25.9436648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9436728Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9436954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9437032Z x = block(x) 2025-09-07T07:26:25.9437233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9437345Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9437546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9437620Z x = self.fc1(x) 2025-09-07T07:26:25.9437623Z 2025-09-07T07:26:25.9437745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9437962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9438062Z return mod(*inputs) 2025-09-07T07:26:25.9438266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9438345Z x = self.forward_features(x) 2025-09-07T07:26:25.9438587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9438666Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9438915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9438984Z x = block(x) 2025-09-07T07:26:25.9439183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9439297Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9439497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9439575Z x = self.act(x) 2025-09-07T07:26:25.9439581Z 2025-09-07T07:26:25.9439695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9439919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9439992Z return mod(*inputs) 2025-09-07T07:26:25.9440193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9440279Z x = self.forward_features(x) 2025-09-07T07:26:25.9440513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9440599Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9440850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9440917Z x = block(x) 2025-09-07T07:26:25.9441128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9441230Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9441440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9441510Z x = self.fc2(x) 2025-09-07T07:26:25.9441514Z 2025-09-07T07:26:25.9441629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9441859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9441935Z return mod(*inputs) 2025-09-07T07:26:25.9442149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9442227Z x = self.forward_features(x) 2025-09-07T07:26:25.9442480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9442567Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9442800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9442874Z x = block(x) 2025-09-07T07:26:25.9443076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9443176Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9443398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9443577Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9443581Z 2025-09-07T07:26:25.9443685Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9443799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9444028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9444102Z return mod(*inputs) 2025-09-07T07:26:25.9444304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9444430Z x = self.forward_features(x) 2025-09-07T07:26:25.9444663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9444750Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9444981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9445049Z x = block(x) 2025-09-07T07:26:25.9445297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9445400Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9445610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9445856Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9445864Z 2025-09-07T07:26:25.9445985Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9446223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9446297Z return mod(*inputs) 2025-09-07T07:26:25.9446509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9446589Z x = self.forward_features(x) 2025-09-07T07:26:25.9446831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9446912Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9447149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9447319Z x = block(x) 2025-09-07T07:26:25.9447537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9447644Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9447862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9447999Z x = self.proj(x) 2025-09-07T07:26:25.9448006Z 2025-09-07T07:26:25.9448128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9448353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9448434Z return mod(*inputs) 2025-09-07T07:26:25.9448648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9448725Z x = self.forward_features(x) 2025-09-07T07:26:25.9448969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9449088Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9449386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9449453Z x = block(x) 2025-09-07T07:26:25.9449669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9449780Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9449783Z 2025-09-07T07:26:25.9449897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9450130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9450202Z return mod(*inputs) 2025-09-07T07:26:25.9450420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9450511Z x = self.forward_features(x) 2025-09-07T07:26:25.9450756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9450848Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9451086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9451161Z x = block(x) 2025-09-07T07:26:25.9451386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9451490Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9451702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9451772Z x = self.fc1(x) 2025-09-07T07:26:25.9451776Z 2025-09-07T07:26:25.9451922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9452150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9452222Z return mod(*inputs) 2025-09-07T07:26:25.9452435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9452513Z x = self.forward_features(x) 2025-09-07T07:26:25.9452760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9452836Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9453053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9453129Z x = block(x) 2025-09-07T07:26:25.9453326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9453430Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9453624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9453691Z x = self.act(x) 2025-09-07T07:26:25.9453718Z 2025-09-07T07:26:25.9453826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9454061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9454137Z return mod(*inputs) 2025-09-07T07:26:25.9454333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9454418Z x = self.forward_features(x) 2025-09-07T07:26:25.9454640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9454716Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9454940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9455005Z x = block(x) 2025-09-07T07:26:25.9455207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9455303Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9455515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9455593Z x = self.fc2(x) 2025-09-07T07:26:25.9455597Z 2025-09-07T07:26:25.9455708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9455925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9455996Z return mod(*inputs) 2025-09-07T07:26:25.9456190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9456277Z x = self.forward_features(x) 2025-09-07T07:26:25.9456503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9456589Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9456809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9456876Z x = block(x) 2025-09-07T07:26:25.9457084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9457183Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9457406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9457581Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9457584Z 2025-09-07T07:26:25.9457684Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9457798Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9458008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9458105Z return mod(*inputs) 2025-09-07T07:26:25.9458303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9458390Z x = self.forward_features(x) 2025-09-07T07:26:25.9458618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9458695Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9458923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9458989Z x = block(x) 2025-09-07T07:26:25.9459191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9459290Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9459484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9459588Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9459593Z 2025-09-07T07:26:25.9459706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9459922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9460013Z return mod(*inputs) 2025-09-07T07:26:25.9460209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9460295Z x = self.forward_features(x) 2025-09-07T07:26:25.9460522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9460604Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9460820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9460884Z x = block(x) 2025-09-07T07:26:25.9461088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9461186Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9461386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9461481Z x = self.proj(x) 2025-09-07T07:26:25.9461485Z 2025-09-07T07:26:25.9461596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9461824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9461896Z return mod(*inputs) 2025-09-07T07:26:25.9462108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9462186Z x = self.forward_features(x) 2025-09-07T07:26:25.9462419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9462505Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9462739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9462811Z x = block(x) 2025-09-07T07:26:25.9463006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9463107Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9463307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9463375Z x = self.fc1(x) 2025-09-07T07:26:25.9463378Z 2025-09-07T07:26:25.9463516Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9463727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9463805Z return mod(*inputs) 2025-09-07T07:26:25.9463999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9464075Z x = self.forward_features(x) 2025-09-07T07:26:25.9464323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9464399Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9464623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9464690Z x = block(x) 2025-09-07T07:26:25.9464884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9464988Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9465181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9465255Z x = self.act(x) 2025-09-07T07:26:25.9465258Z 2025-09-07T07:26:25.9465368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9465577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9465654Z return mod(*inputs) 2025-09-07T07:26:25.9465849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9465934Z x = self.forward_features(x) 2025-09-07T07:26:25.9466160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9466256Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9466485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9466550Z x = block(x) 2025-09-07T07:26:25.9466754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9466850Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9467042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9467118Z x = self.fc2(x) 2025-09-07T07:26:25.9467121Z 2025-09-07T07:26:25.9467234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9467452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9467522Z return mod(*inputs) 2025-09-07T07:26:25.9467761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9467837Z x = self.forward_features(x) 2025-09-07T07:26:25.9468062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9468149Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9468370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9468443Z x = block(x) 2025-09-07T07:26:25.9468645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9468745Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9468953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9469126Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9469133Z 2025-09-07T07:26:25.9469232Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9469345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9469562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9469661Z return mod(*inputs) 2025-09-07T07:26:25.9469872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9469957Z x = self.forward_features(x) 2025-09-07T07:26:25.9470181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9470263Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9470497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9470562Z x = block(x) 2025-09-07T07:26:25.9470766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9470867Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9471071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9471157Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9471161Z 2025-09-07T07:26:25.9471271Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9471490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9471559Z return mod(*inputs) 2025-09-07T07:26:25.9471759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9471836Z x = self.forward_features(x) 2025-09-07T07:26:25.9472063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9472146Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9472384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9472454Z x = block(x) 2025-09-07T07:26:25.9472651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9472750Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9472960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9473033Z x = self.proj(x) 2025-09-07T07:26:25.9473037Z 2025-09-07T07:26:25.9473159Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9473377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9473468Z return mod(*inputs) 2025-09-07T07:26:25.9473667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9473766Z x = self.forward_features(x) 2025-09-07T07:26:25.9474003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9474081Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9474314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9474379Z x = block(x) 2025-09-07T07:26:25.9474577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9474682Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9474685Z 2025-09-07T07:26:25.9474796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9475020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9475090Z return mod(*inputs) 2025-09-07T07:26:25.9475290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9475380Z x = self.forward_features(x) 2025-09-07T07:26:25.9475609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9475693Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9475932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9475996Z x = block(x) 2025-09-07T07:26:25.9476199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9476297Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9476515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9476583Z x = self.fc1(x) 2025-09-07T07:26:25.9476587Z 2025-09-07T07:26:25.9476703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9476917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9476989Z return mod(*inputs) 2025-09-07T07:26:25.9477192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9477270Z x = self.forward_features(x) 2025-09-07T07:26:25.9477503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9477579Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9477799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9477871Z x = block(x) 2025-09-07T07:26:25.9478072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9478176Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9478371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9478462Z x = self.act(x) 2025-09-07T07:26:25.9478465Z 2025-09-07T07:26:25.9478583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9478790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9478867Z return mod(*inputs) 2025-09-07T07:26:25.9479065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9479141Z x = self.forward_features(x) 2025-09-07T07:26:25.9479373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9479448Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9479674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9479738Z x = block(x) 2025-09-07T07:26:25.9479932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9480060Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9480252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9480326Z x = self.fc2(x) 2025-09-07T07:26:25.9480331Z 2025-09-07T07:26:25.9480441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9480658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9480730Z return mod(*inputs) 2025-09-07T07:26:25.9480925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9481012Z x = self.forward_features(x) 2025-09-07T07:26:25.9481238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9481321Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9481544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9481608Z x = block(x) 2025-09-07T07:26:25.9481812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9481928Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9482136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9482309Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9482313Z 2025-09-07T07:26:25.9482406Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9482545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9482764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9482845Z return mod(*inputs) 2025-09-07T07:26:25.9483052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9483131Z x = self.forward_features(x) 2025-09-07T07:26:25.9483376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9483453Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9483680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9483744Z x = block(x) 2025-09-07T07:26:25.9483956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9484056Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9484260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9484354Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9484358Z 2025-09-07T07:26:25.9484495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9484717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9484789Z return mod(*inputs) 2025-09-07T07:26:25.9485017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9485106Z x = self.forward_features(x) 2025-09-07T07:26:25.9485359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9485443Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9485690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9485758Z x = block(x) 2025-09-07T07:26:25.9485993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9486093Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9486325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9486396Z x = self.proj(x) 2025-09-07T07:26:25.9486400Z 2025-09-07T07:26:25.9486514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9486778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9486851Z return mod(*inputs) 2025-09-07T07:26:25.9487059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9487139Z x = self.forward_features(x) 2025-09-07T07:26:25.9487394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9487470Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9487718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9487796Z x = block(x) 2025-09-07T07:26:25.9488099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9488213Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9488466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9488538Z x = self.fc1(x) 2025-09-07T07:26:25.9488541Z 2025-09-07T07:26:25.9488665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9488905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9488990Z return mod(*inputs) 2025-09-07T07:26:25.9489227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9489308Z x = self.forward_features(x) 2025-09-07T07:26:25.9489589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9489670Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9489921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9489987Z x = block(x) 2025-09-07T07:26:25.9490214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9490321Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9490548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9490624Z x = self.act(x) 2025-09-07T07:26:25.9490627Z 2025-09-07T07:26:25.9490741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9490982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9491062Z return mod(*inputs) 2025-09-07T07:26:25.9491263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9491378Z x = self.forward_features(x) 2025-09-07T07:26:25.9491633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9491717Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9491944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9492008Z x = block(x) 2025-09-07T07:26:25.9492236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9492335Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9492570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9492639Z x = self.fc2(x) 2025-09-07T07:26:25.9492642Z 2025-09-07T07:26:25.9492753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9493009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9493083Z return mod(*inputs) 2025-09-07T07:26:25.9493292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9493371Z x = self.forward_features(x) 2025-09-07T07:26:25.9493606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9493690Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9493940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9494012Z x = block(x) 2025-09-07T07:26:25.9494241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9494342Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9494576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9494751Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9494755Z 2025-09-07T07:26:25.9494854Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9494989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9495217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9495291Z return mod(*inputs) 2025-09-07T07:26:25.9495495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9495583Z x = self.forward_features(x) 2025-09-07T07:26:25.9495833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9495917Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9496142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9496212Z x = block(x) 2025-09-07T07:26:25.9496421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9496521Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9496731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9496819Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9496823Z 2025-09-07T07:26:25.9496935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9497158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9497234Z return mod(*inputs) 2025-09-07T07:26:25.9497443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9497520Z x = self.forward_features(x) 2025-09-07T07:26:25.9497773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9497859Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9498081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9498157Z x = block(x) 2025-09-07T07:26:25.9498358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9498463Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9498665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9498737Z x = self.proj(x) 2025-09-07T07:26:25.9498741Z 2025-09-07T07:26:25.9498866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9499080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9499183Z return mod(*inputs) 2025-09-07T07:26:25.9499384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9499461Z x = self.forward_features(x) 2025-09-07T07:26:25.9499706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9499784Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9500026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9500091Z x = block(x) 2025-09-07T07:26:25.9500289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9500395Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9500398Z 2025-09-07T07:26:25.9500508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9500724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9500797Z return mod(*inputs) 2025-09-07T07:26:25.9500994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9501078Z x = self.forward_features(x) 2025-09-07T07:26:25.9501319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9501404Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9501623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9501696Z x = block(x) 2025-09-07T07:26:25.9501907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9502008Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9502220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9502294Z x = self.fc1(x) 2025-09-07T07:26:25.9502298Z 2025-09-07T07:26:25.9502420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9502638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9502711Z return mod(*inputs) 2025-09-07T07:26:25.9502922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9503000Z x = self.forward_features(x) 2025-09-07T07:26:25.9503238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9503315Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9503542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9503617Z x = block(x) 2025-09-07T07:26:25.9503826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9503955Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9504146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9504212Z x = self.act(x) 2025-09-07T07:26:25.9504215Z 2025-09-07T07:26:25.9504336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9504545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9504621Z return mod(*inputs) 2025-09-07T07:26:25.9504815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9504891Z x = self.forward_features(x) 2025-09-07T07:26:25.9505125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9505197Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9505424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9505506Z x = block(x) 2025-09-07T07:26:25.9505708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9505805Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9506000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9506075Z x = self.fc2(x) 2025-09-07T07:26:25.9506078Z 2025-09-07T07:26:25.9506188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9506402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9506474Z return mod(*inputs) 2025-09-07T07:26:25.9506670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9506754Z x = self.forward_features(x) 2025-09-07T07:26:25.9506982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9507064Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9507282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9507364Z x = block(x) 2025-09-07T07:26:25.9507569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9507667Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9507871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9508054Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9508058Z 2025-09-07T07:26:25.9508157Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9508268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9508482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9508562Z return mod(*inputs) 2025-09-07T07:26:25.9508755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9508842Z x = self.forward_features(x) 2025-09-07T07:26:25.9509067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9509142Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9509369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9509434Z x = block(x) 2025-09-07T07:26:25.9509641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9509739Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9509936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9510050Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9510054Z 2025-09-07T07:26:25.9510164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9510386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9510455Z return mod(*inputs) 2025-09-07T07:26:25.9510650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9510736Z x = self.forward_features(x) 2025-09-07T07:26:25.9510960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9511044Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9511265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9511329Z x = block(x) 2025-09-07T07:26:25.9511551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9511648Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9511850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9511922Z x = self.proj(x) 2025-09-07T07:26:25.9511926Z 2025-09-07T07:26:25.9512042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9512251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9512321Z return mod(*inputs) 2025-09-07T07:26:25.9512524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9512602Z x = self.forward_features(x) 2025-09-07T07:26:25.9512833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9512911Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9513129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9513201Z x = block(x) 2025-09-07T07:26:25.9513409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9513519Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9513710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9513778Z x = self.fc1(x) 2025-09-07T07:26:25.9513789Z 2025-09-07T07:26:25.9513899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9514134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9514216Z return mod(*inputs) 2025-09-07T07:26:25.9514413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9514500Z x = self.forward_features(x) 2025-09-07T07:26:25.9514728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9514805Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9515042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9515108Z x = block(x) 2025-09-07T07:26:25.9515318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9515416Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9515623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9515698Z x = self.act(x) 2025-09-07T07:26:25.9515702Z 2025-09-07T07:26:25.9515811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9516029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9516137Z return mod(*inputs) 2025-09-07T07:26:25.9516337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9516424Z x = self.forward_features(x) 2025-09-07T07:26:25.9516654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9516740Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9516966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9517031Z x = block(x) 2025-09-07T07:26:25.9517239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9517336Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9517543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9517635Z x = self.fc2(x) 2025-09-07T07:26:25.9517639Z 2025-09-07T07:26:25.9517758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9517976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9518049Z return mod(*inputs) 2025-09-07T07:26:25.9518263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9518341Z x = self.forward_features(x) 2025-09-07T07:26:25.9518582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9518659Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9518891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9518965Z x = block(x) 2025-09-07T07:26:25.9519171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9519283Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9519487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-09-07T07:26:25.9519678Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9519683Z 2025-09-07T07:26:25.9519785Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9519897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9520118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9520190Z return mod(*inputs) 2025-09-07T07:26:25.9520406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9520495Z x = self.forward_features(x) 2025-09-07T07:26:25.9520728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9520818Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9521043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9521117Z x = block(x) 2025-09-07T07:26:25.9521324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9521424Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9521636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T07:26:25.9521724Z x = F.scaled_dot_product_attention( 2025-09-07T07:26:25.9521728Z 2025-09-07T07:26:25.9521851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9522071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9522143Z return mod(*inputs) 2025-09-07T07:26:25.9522374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9522453Z x = self.forward_features(x) 2025-09-07T07:26:25.9522689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9522768Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9522993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9523067Z x = block(x) 2025-09-07T07:26:25.9523265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9523372Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9523570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-09-07T07:26:25.9523642Z x = self.proj(x) 2025-09-07T07:26:25.9523653Z 2025-09-07T07:26:25.9523765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9524002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9524082Z return mod(*inputs) 2025-09-07T07:26:25.9524282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9524370Z x = self.forward_features(x) 2025-09-07T07:26:25.9524598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9524675Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9524906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9524973Z x = block(x) 2025-09-07T07:26:25.9525178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T07:26:25.9525279Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9525285Z 2025-09-07T07:26:25.9525397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9525619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9525691Z return mod(*inputs) 2025-09-07T07:26:25.9525919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9525999Z x = self.forward_features(x) 2025-09-07T07:26:25.9526235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9526320Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9526566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9526642Z x = block(x) 2025-09-07T07:26:25.9526843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9526945Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9527156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9527225Z x = self.fc1(x) 2025-09-07T07:26:25.9527228Z 2025-09-07T07:26:25.9527348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9527587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9527668Z return mod(*inputs) 2025-09-07T07:26:25.9527982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9528069Z x = self.forward_features(x) 2025-09-07T07:26:25.9528313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9528389Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9528643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9528743Z x = block(x) 2025-09-07T07:26:25.9528978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9529080Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9529307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9529388Z x = self.act(x) 2025-09-07T07:26:25.9529392Z 2025-09-07T07:26:25.9529507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9529734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9529807Z return mod(*inputs) 2025-09-07T07:26:25.9530011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9530098Z x = self.forward_features(x) 2025-09-07T07:26:25.9530349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T07:26:25.9530453Z x = self.forward_tokens(x) 2025-09-07T07:26:25.9530683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T07:26:25.9530748Z x = block(x) 2025-09-07T07:26:25.9530954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-09-07T07:26:25.9531051Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-09-07T07:26:25.9531256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9531323Z x = self.fc2(x) 2025-09-07T07:26:25.9531326Z 2025-09-07T07:26:25.9531417Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9531536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9531754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9531835Z return mod(*inputs) 2025-09-07T07:26:25.9532043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9532118Z x = self.forward_features(x) 2025-09-07T07:26:25.9532379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9532458Z x = self.forward_cls(x) 2025-09-07T07:26:25.9532694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-09-07T07:26:25.9532781Z x = torch.cat([cls_tokens, x], dim=1) 2025-09-07T07:26:25.9532785Z 2025-09-07T07:26:25.9532904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9533131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9533203Z return mod(*inputs) 2025-09-07T07:26:25.9533403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9533482Z x = self.forward_features(x) 2025-09-07T07:26:25.9533712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9533787Z x = self.forward_cls(x) 2025-09-07T07:26:25.9534021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9534095Z x = block(x) 2025-09-07T07:26:25.9534300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T07:26:25.9534445Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9534651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-09-07T07:26:25.9534811Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9534822Z 2025-09-07T07:26:25.9534932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9535163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9535241Z return mod(*inputs) 2025-09-07T07:26:25.9535438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9535520Z x = self.forward_features(x) 2025-09-07T07:26:25.9535742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9535815Z x = self.forward_cls(x) 2025-09-07T07:26:25.9536032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9536096Z x = block(x) 2025-09-07T07:26:25.9536306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T07:26:25.9536439Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9536652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-09-07T07:26:25.9536808Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-09-07T07:26:25.9536812Z 2025-09-07T07:26:25.9536923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9537137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9537207Z return mod(*inputs) 2025-09-07T07:26:25.9537403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9537487Z x = self.forward_features(x) 2025-09-07T07:26:25.9537713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9537793Z x = self.forward_cls(x) 2025-09-07T07:26:25.9538014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9538087Z x = block(x) 2025-09-07T07:26:25.9538284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T07:26:25.9538413Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9538641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-09-07T07:26:25.9538811Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-09-07T07:26:25.9538815Z 2025-09-07T07:26:25.9538932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9539143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9539622Z return mod(*inputs) 2025-09-07T07:26:25.9539833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9539910Z x = self.forward_features(x) 2025-09-07T07:26:25.9540149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9540224Z x = self.forward_cls(x) 2025-09-07T07:26:25.9540436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9540510Z x = block(x) 2025-09-07T07:26:25.9540705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T07:26:25.9540844Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9541036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-09-07T07:26:25.9541122Z cls_embed = self.proj(cls_embed) 2025-09-07T07:26:25.9541134Z 2025-09-07T07:26:25.9541246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9541456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9541559Z return mod(*inputs) 2025-09-07T07:26:25.9541757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9541843Z x = self.forward_features(x) 2025-09-07T07:26:25.9542071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9542146Z x = self.forward_cls(x) 2025-09-07T07:26:25.9542364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9542429Z x = block(x) 2025-09-07T07:26:25.9542629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T07:26:25.9542777Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T07:26:25.9542969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9543066Z x = self.fc1(x) 2025-09-07T07:26:25.9543070Z 2025-09-07T07:26:25.9543180Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9543396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9543468Z return mod(*inputs) 2025-09-07T07:26:25.9543665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9543750Z x = self.forward_features(x) 2025-09-07T07:26:25.9543982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9544063Z x = self.forward_cls(x) 2025-09-07T07:26:25.9544278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9544342Z x = block(x) 2025-09-07T07:26:25.9544547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T07:26:25.9544693Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T07:26:25.9544898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9544965Z x = self.act(x) 2025-09-07T07:26:25.9544969Z 2025-09-07T07:26:25.9545111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9545325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9545396Z return mod(*inputs) 2025-09-07T07:26:25.9545599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9545675Z x = self.forward_features(x) 2025-09-07T07:26:25.9546213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9546294Z x = self.forward_cls(x) 2025-09-07T07:26:25.9546509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9546584Z x = block(x) 2025-09-07T07:26:25.9546782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T07:26:25.9546935Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T07:26:25.9547128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9547198Z x = self.fc2(x) 2025-09-07T07:26:25.9547202Z 2025-09-07T07:26:25.9547320Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9547530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9547608Z return mod(*inputs) 2025-09-07T07:26:25.9547802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9547883Z x = self.forward_features(x) 2025-09-07T07:26:25.9548158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9548232Z x = self.forward_cls(x) 2025-09-07T07:26:25.9548448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9548513Z x = block(x) 2025-09-07T07:26:25.9548712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T07:26:25.9548850Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T07:26:25.9548853Z 2025-09-07T07:26:25.9548943Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9549060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9549269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9549344Z return mod(*inputs) 2025-09-07T07:26:25.9549570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9549646Z x = self.forward_features(x) 2025-09-07T07:26:25.9549879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9549953Z x = self.forward_cls(x) 2025-09-07T07:26:25.9550171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9550234Z x = block(x) 2025-09-07T07:26:25.9550429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-09-07T07:26:25.9550538Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-09-07T07:26:25.9550542Z 2025-09-07T07:26:25.9550653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9550870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9550943Z return mod(*inputs) 2025-09-07T07:26:25.9551138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9551220Z x = self.forward_features(x) 2025-09-07T07:26:25.9551468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9551550Z x = self.forward_cls(x) 2025-09-07T07:26:25.9551762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9551833Z x = block(x) 2025-09-07T07:26:25.9552027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T07:26:25.9552177Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9552381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-09-07T07:26:25.9552541Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T07:26:25.9552547Z 2025-09-07T07:26:25.9552667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9552878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9552949Z return mod(*inputs) 2025-09-07T07:26:25.9553151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9553228Z x = self.forward_features(x) 2025-09-07T07:26:25.9553458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9553531Z x = self.forward_cls(x) 2025-09-07T07:26:25.9553741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9553813Z x = block(x) 2025-09-07T07:26:25.9554007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T07:26:25.9554167Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9554360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-09-07T07:26:25.9554514Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-09-07T07:26:25.9554517Z 2025-09-07T07:26:25.9554706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9554914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9554984Z return mod(*inputs) 2025-09-07T07:26:25.9555186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9555263Z x = self.forward_features(x) 2025-09-07T07:26:25.9555495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9555590Z x = self.forward_cls(x) 2025-09-07T07:26:25.9555801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9555875Z x = block(x) 2025-09-07T07:26:25.9556070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T07:26:25.9556211Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9556408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-09-07T07:26:25.9556570Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-09-07T07:26:25.9556574Z 2025-09-07T07:26:25.9556694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9556905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9556986Z return mod(*inputs) 2025-09-07T07:26:25.9557182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9557262Z x = self.forward_features(x) 2025-09-07T07:26:25.9557496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9557589Z x = self.forward_cls(x) 2025-09-07T07:26:25.9557807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9557871Z x = block(x) 2025-09-07T07:26:25.9558072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T07:26:25.9558199Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T07:26:25.9558412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-09-07T07:26:25.9558506Z cls_embed = self.proj(cls_embed) 2025-09-07T07:26:25.9558509Z 2025-09-07T07:26:25.9558632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9558842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9558909Z return mod(*inputs) 2025-09-07T07:26:25.9559094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9559174Z x = self.forward_features(x) 2025-09-07T07:26:25.9559390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9559468Z x = self.forward_cls(x) 2025-09-07T07:26:25.9559668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9559729Z x = block(x) 2025-09-07T07:26:25.9559929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T07:26:25.9560072Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T07:26:25.9560298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T07:26:25.9560366Z x = self.fc1(x) 2025-09-07T07:26:25.9560370Z 2025-09-07T07:26:25.9560485Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9560696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9560765Z return mod(*inputs) 2025-09-07T07:26:25.9560966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9561042Z x = self.forward_features(x) 2025-09-07T07:26:25.9561273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9561348Z x = self.forward_cls(x) 2025-09-07T07:26:25.9561555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9561662Z x = block(x) 2025-09-07T07:26:25.9561857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T07:26:25.9562004Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T07:26:25.9562198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-09-07T07:26:25.9562264Z x = self.act(x) 2025-09-07T07:26:25.9562268Z 2025-09-07T07:26:25.9562387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9562596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9562671Z return mod(*inputs) 2025-09-07T07:26:25.9562868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9562943Z x = self.forward_features(x) 2025-09-07T07:26:25.9563183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9563262Z x = self.forward_cls(x) 2025-09-07T07:26:25.9563485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9563552Z x = block(x) 2025-09-07T07:26:25.9563780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T07:26:25.9563927Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T07:26:25.9564118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-09-07T07:26:25.9564192Z x = self.fc2(x) 2025-09-07T07:26:25.9564195Z 2025-09-07T07:26:25.9564304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9564546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9564619Z return mod(*inputs) 2025-09-07T07:26:25.9564813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9564899Z x = self.forward_features(x) 2025-09-07T07:26:25.9565124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9565206Z x = self.forward_cls(x) 2025-09-07T07:26:25.9565416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9565481Z x = block(x) 2025-09-07T07:26:25.9565683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T07:26:25.9565822Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T07:26:25.9565825Z 2025-09-07T07:26:25.9565924Z cudagraph partition due to non gpu ops 2025-09-07T07:26:25.9566033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9566243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9566341Z return mod(*inputs) 2025-09-07T07:26:25.9566535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T07:26:25.9566618Z x = self.forward_features(x) 2025-09-07T07:26:25.9566843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T07:26:25.9566916Z x = self.forward_cls(x) 2025-09-07T07:26:25.9567135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T07:26:25.9567199Z x = block(x) 2025-09-07T07:26:25.9567406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-09-07T07:26:25.9567510Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-09-07T07:26:25.9567514Z 2025-09-07T07:26:25.9567631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9567860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9568211Z return mod(*inputs) 2025-09-07T07:26:25.9568427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T07:26:25.9568511Z x = self.forward_head(x) 2025-09-07T07:26:25.9568749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-09-07T07:26:25.9568829Z aux = self.aux_head(x[:, 1:]) 2025-09-07T07:26:25.9568833Z 2025-09-07T07:26:25.9568943Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9569165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9569238Z return mod(*inputs) 2025-09-07T07:26:25.9569444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T07:26:25.9569516Z x = self.forward_head(x) 2025-09-07T07:26:25.9569723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-09-07T07:26:25.9569808Z aux = self.aux_head(x[:, 1:]) 2025-09-07T07:26:25.9569811Z 2025-09-07T07:26:25.9569916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9570147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9570216Z return mod(*inputs) 2025-09-07T07:26:25.9570400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T07:26:25.9570481Z x = self.forward_head(x) 2025-09-07T07:26:25.9570704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-09-07T07:26:25.9570789Z out = out + 0.5 * aux.max(1)[0] 2025-09-07T07:26:25.9570792Z 2025-09-07T07:26:25.9570897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9571104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9571170Z return mod(*inputs) 2025-09-07T07:26:25.9571355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T07:26:25.9571433Z x = self.forward_head(x) 2025-09-07T07:26:25.9571636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 813, in forward_head 2025-09-07T07:26:25.9571712Z out = self.head(out) 2025-09-07T07:26:25.9571715Z 2025-09-07T07:26:25.9571818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:26:25.9572013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T07:26:25.9572090Z return mod(*inputs) 2025-09-07T07:26:25.9572273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T07:26:25.9572351Z x = self.forward_head(x) 2025-09-07T07:26:25.9572581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-09-07T07:26:25.9572655Z out = out + 0.5 * aux.max(1)[0] 2025-09-07T07:26:25.9572659Z 2025-09-07T07:26:41.6460962Z Compilation time (from dynamo_timed): 49.981006771 2025-09-07T07:26:41.6461265Z pass 2025-09-07T07:26:41.6466364Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:26:41.6467371Z TIMING: _recursive_pre_grad_passes:0.01028 _recursive_joint_graph_passes:0.75907 _recursive_post_grad_passes:0.31495 async_compile.wait:0.7348 code_gen:15.36027 inductor_compile:22.29674 backend_compile:39.96982 gc:0.00096 entire_frame_compile:49.98101 total_wall_time:49.98101 2025-09-07T07:26:41.6468541Z STATS: call_* op count: 505 | FakeTensorMode.__torch_dispatch__:19621 | attempt fast:160 | fast is_contiguous:144 | FakeTensor.__torch_dispatch__:7525 | slow no contiguity match:16 | ProxyTorchDispatchMode.__torch_dispatch__:6924 2025-09-07T07:26:41.6469595Z Dynamo produced 1 graphs covering 505 ops with 0 graph breaks (0 unique) 2025-09-07T07:26:47.6984522Z /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. 2025-09-07T07:26:47.6985499Z import pynvml # type: ignore[import] 2025-09-07T07:26:50.6318590Z 2025-09-07T07:26:52.1998505Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:26:52.1998738Z 2025-09-07T07:26:52.3108678Z model.safetensors: 0% 0.00/756M [00:00> $GITHUB_ENV 2025-09-07T07:29:09.9985020Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T07:29:09.9994317Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:09.9994586Z env: 2025-09-07T07:29:09.9994769Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:09.9995095Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:09.9995429Z ##[endgroup] 2025-09-07T07:29:10.0027523Z + [[ -n '' ]] 2025-09-07T07:29:10.0027891Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T07:29:10.2011328Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:29:11.0403436Z Collecting boto3==1.35.33 2025-09-07T07:29:11.0549079Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T07:29:11.3067504Z Collecting psutil==7.0.0 2025-09-07T07:29:11.3101533Z 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) 2025-09-07T07:29:11.3374904Z Collecting pynvml==12.0.0 2025-09-07T07:29:11.3415832Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T07:29:12.2197622Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T07:29:12.2233138Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T07:29:12.3577001Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T07:29:12.3613093Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T07:29:12.3659399Z 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) 2025-09-07T07:29:12.4017233Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T07:29:12.4062821Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T07:29:12.4146120Z 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) 2025-09-07T07:29:12.4159072Z 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) 2025-09-07T07:29:12.5258511Z 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) 2025-09-07T07:29:12.6478159Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T07:29:13.0322568Z Attempting uninstall: nvidia-ml-py 2025-09-07T07:29:13.0323040Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T07:29:13.0333472Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T07:29:13.0478486Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T07:29:13.1038621Z Attempting uninstall: psutil 2025-09-07T07:29:13.1039158Z Found existing installation: psutil 5.9.8 2025-09-07T07:29:13.1091446Z Uninstalling psutil-5.9.8: 2025-09-07T07:29:13.1098683Z Successfully uninstalled psutil-5.9.8 2025-09-07T07:29:13.2585052Z 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 2025-09-07T07:29:13.3911204Z + DEVICE_NAME= 2025-09-07T07:29:13.3911470Z + DEVICE_TYPE= 2025-09-07T07:29:13.3911679Z + command -v nvidia-smi 2025-09-07T07:29:13.3911894Z + command -v rocminfo 2025-09-07T07:29:13.3912087Z + echo DEVICE_NAME= 2025-09-07T07:29:13.3912265Z + echo DEVICE_TYPE= 2025-09-07T07:29:13.3936013Z ##[group]Run set -eux 2025-09-07T07:29:13.3936238Z set -eux 2025-09-07T07:29:13.3936438Z  2025-09-07T07:29:13.3936627Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T07:29:13.3936954Z  echo "Missing github-token input" 2025-09-07T07:29:13.3937195Z  exit 1 2025-09-07T07:29:13.3937371Z fi 2025-09-07T07:29:13.3943524Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.3943797Z env: 2025-09-07T07:29:13.3943982Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.3944307Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:13.3944643Z DEVICE_NAME: 2025-09-07T07:29:13.3944819Z DEVICE_TYPE: 2025-09-07T07:29:13.3945207Z GITHUB_TOKEN: *** 2025-09-07T07:29:13.3945394Z ##[endgroup] 2025-09-07T07:29:13.3972203Z + [[ -z *** ]] 2025-09-07T07:29:13.4009947Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T07:29:13.4010308Z with: 2025-09-07T07:29:13.4010690Z github-token: *** 2025-09-07T07:29:13.4010903Z env: 2025-09-07T07:29:13.4011123Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.4011512Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:13.4011918Z DEVICE_NAME: 2025-09-07T07:29:13.4012132Z DEVICE_TYPE: 2025-09-07T07:29:13.4012361Z ##[endgroup] 2025-09-07T07:29:13.4029992Z ##[group]Run set -eux 2025-09-07T07:29:13.4030223Z set -eux 2025-09-07T07:29:13.4030410Z  2025-09-07T07:29:13.4030755Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:29:13.4035887Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.4036175Z env: 2025-09-07T07:29:13.4036367Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.4036704Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:13.4037047Z DEVICE_NAME: 2025-09-07T07:29:13.4037233Z DEVICE_TYPE: 2025-09-07T07:29:13.4037588Z GITHUB_TOKEN: *** 2025-09-07T07:29:13.4037935Z ##[endgroup] 2025-09-07T07:29:13.4063420Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17524754606 i-01c485c335adab862 2025-09-07T07:29:14.0945006Z setting job-id=49774397873 2025-09-07T07:29:14.0951174Z setting job-name=inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T07:29:14.1054436Z ##[group]Run set -eux 2025-09-07T07:29:14.1054667Z set -eux 2025-09-07T07:29:14.1054845Z  2025-09-07T07:29:14.1055021Z if [[ -n "" ]]; then 2025-09-07T07:29:14.1055226Z  source "" 2025-09-07T07:29:14.1055398Z fi 2025-09-07T07:29:14.1055564Z  2025-09-07T07:29:14.1055846Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T07:29:14.1056205Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T07:29:14.1056448Z  --repo "${REPO}" \ 2025-09-07T07:29:14.1056686Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T07:29:14.1057029Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T07:29:14.1057282Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T07:29:14.1057594Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T07:29:14.1057833Z  --job-id "${JOB_ID}" \ 2025-09-07T07:29:14.1058058Z  --job-name "${JOB_NAME}" 2025-09-07T07:29:14.1062868Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:14.1063139Z env: 2025-09-07T07:29:14.1063316Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:14.1063647Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:14.1063985Z DEVICE_NAME: 2025-09-07T07:29:14.1064162Z DEVICE_TYPE: 2025-09-07T07:29:14.1064332Z SCHEMA_VERSION: v3 2025-09-07T07:29:14.1064531Z REPO: pytorch/pytorch 2025-09-07T07:29:14.1064739Z HEAD_BRANCH: refs/heads/main 2025-09-07T07:29:14.1064996Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:14.1065236Z WORKFLOW_RUN_ID: 17524754606 2025-09-07T07:29:14.1065434Z RUN_ATTEMPT: 1 2025-09-07T07:29:14.1065613Z JOB_ID: 49774397873 2025-09-07T07:29:14.1065917Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T07:29:14.1066232Z ##[endgroup] 2025-09-07T07:29:14.1094880Z + [[ -n '' ]] 2025-09-07T07:29:14.1098849Z + 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 17524754606 --run-attempt 1 --job-id 49774397873 --job-name 'inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)' 2025-09-07T07:29:14.1387690Z ##[group]Run set -eux 2025-09-07T07:29:14.1387921Z set -eux 2025-09-07T07:29:14.1388085Z  2025-09-07T07:29:14.1388279Z if [[ -n "" ]]; then 2025-09-07T07:29:14.1388492Z  source "" 2025-09-07T07:29:14.1388667Z fi 2025-09-07T07:29:14.1388819Z  2025-09-07T07:29:14.1389109Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T07:29:14.1394019Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:14.1394296Z env: 2025-09-07T07:29:14.1394483Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:14.1394844Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:14.1395177Z DEVICE_NAME: 2025-09-07T07:29:14.1395356Z DEVICE_TYPE: 2025-09-07T07:29:14.1395534Z ##[endgroup] 2025-09-07T07:29:14.1417804Z + [[ -n '' ]] 2025-09-07T07:29:14.1418631Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T07:29:14.1770610Z INFO:root:Fail to import torch to get the device name 2025-09-07T07:29:14.1883915Z ##[group]Run set -eux 2025-09-07T07:29:14.1884169Z set -eux 2025-09-07T07:29:14.1884349Z  2025-09-07T07:29:14.1884557Z # TODO (huydhn): Implement this part 2025-09-07T07:29:14.1884841Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:14.1890044Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:14.1890325Z env: 2025-09-07T07:29:14.1890504Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:14.1890835Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:14.1891182Z DEVICE_NAME: 2025-09-07T07:29:14.1891365Z DEVICE_TYPE: 2025-09-07T07:29:14.1891548Z ##[endgroup] 2025-09-07T07:29:14.1917592Z + echo 'dependencies={}' 2025-09-07T07:29:14.1941673Z ##[group]Run set -eux 2025-09-07T07:29:14.1941906Z set -eux 2025-09-07T07:29:14.1942086Z  2025-09-07T07:29:14.1942264Z if [[ -n "" ]]; then 2025-09-07T07:29:14.1942486Z  source "" 2025-09-07T07:29:14.1942739Z fi 2025-09-07T07:29:14.1942906Z  2025-09-07T07:29:14.1943112Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T07:29:14.1943541Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T07:29:14.1943878Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T07:29:14.1944150Z  exit 0 2025-09-07T07:29:14.1944320Z fi 2025-09-07T07:29:14.1944475Z  2025-09-07T07:29:14.1944660Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T07:29:14.1944997Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T07:29:14.1945384Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T07:29:14.1945676Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T07:29:14.1946319Z  --runners "${RUNNER_INFO}" \ 2025-09-07T07:29:14.1946588Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T07:29:14.1946832Z  --dry-run 2025-09-07T07:29:14.1947026Z else 2025-09-07T07:29:14.1947303Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T07:29:14.1947682Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T07:29:14.1947997Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T07:29:14.1948244Z  --runners "${RUNNER_INFO}" \ 2025-09-07T07:29:14.1948483Z  --dependencies "${DEPENDENCIES}" 2025-09-07T07:29:14.1948705Z fi 2025-09-07T07:29:14.1953380Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:14.1953662Z env: 2025-09-07T07:29:14.1953833Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:14.1954151Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:14.1954476Z DEVICE_NAME: 2025-09-07T07:29:14.1954650Z DEVICE_TYPE: 2025-09-07T07:29:14.1954854Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T07:29:14.1955076Z DRY_RUN: false 2025-09-07T07:29:14.1955896Z BENCHMARK_METADATA: {"timestamp": 1757230154, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17524754606, "run_attempt": 1, "job_id": 49774397873} 2025-09-07T07:29:14.1956932Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-43-161.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T07:29:14.1957348Z DEPENDENCIES: {} 2025-09-07T07:29:14.1957532Z ##[endgroup] 2025-09-07T07:29:14.1981961Z + [[ -n '' ]] 2025-09-07T07:29:14.1982711Z + [[ ! -d test/test-reports ]] 2025-09-07T07:29:14.1983226Z + [[ false == \t\r\u\e ]] 2025-09-07T07:29:14.1985642Z + 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": 1757230154, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17524754606, "run_attempt": 1, "job_id": 49774397873}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-43-161.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T07:29:14.3268110Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17524754606/49774397873/inference_timm_models.json 2025-09-07T07:29:14.3555285Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T07:29:14.5816616Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T07:29:14.5816919Z cat test/**/*_toprint.log || true 2025-09-07T07:29:14.5821655Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:14.5821981Z env: 2025-09-07T07:29:14.5822158Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:14.5822472Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:14.5822792Z DEVICE_NAME: 2025-09-07T07:29:14.5822969Z DEVICE_TYPE: 2025-09-07T07:29:14.5823144Z ##[endgroup] 2025-09-07T07:29:14.5898336Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T07:29:14.5925356Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T07:29:14.5925648Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T07:29:14.5930649Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:14.5930918Z env: 2025-09-07T07:29:14.5931096Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:14.5931417Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:14.5931741Z DEVICE_NAME: 2025-09-07T07:29:14.5931927Z DEVICE_TYPE: 2025-09-07T07:29:14.5932108Z MONITOR_SCRIPT_PID: 48164 2025-09-07T07:29:14.5932317Z ##[endgroup] 2025-09-07T07:29:14.6040533Z Prepare all required actions 2025-09-07T07:29:14.6041070Z Getting action download info 2025-09-07T07:29:14.8013285Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:29:15.0148642Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T07:29:15.3782828Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T07:29:15.3783106Z with: 2025-09-07T07:29:15.3783393Z file-suffix: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873 2025-09-07T07:29:15.3783743Z s3-bucket: gha-artifacts 2025-09-07T07:29:15.3783937Z env: 2025-09-07T07:29:15.3784106Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.3784449Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:15.3784805Z DEVICE_NAME: 2025-09-07T07:29:15.3784975Z DEVICE_TYPE: 2025-09-07T07:29:15.3785152Z ##[endgroup] 2025-09-07T07:29:15.3810051Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T07:29:15.3810397Z # Remove any previous test jsons if they exist 2025-09-07T07:29:15.3810660Z rm -f test-jsons-*.zip 2025-09-07T07:29:15.3810975Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T07:29:15.3815880Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:15.3816149Z env: 2025-09-07T07:29:15.3816319Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.3816660Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:15.3817003Z DEVICE_NAME: 2025-09-07T07:29:15.3817180Z DEVICE_TYPE: 2025-09-07T07:29:15.3817483Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873 2025-09-07T07:29:15.3817792Z ##[endgroup] 2025-09-07T07:29:15.3984614Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-09-07T07:29:15.4010609Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T07:29:15.4010980Z # Remove any previous test reports if they exist 2025-09-07T07:29:15.4011264Z rm -f test-reports-*.zip 2025-09-07T07:29:15.4011605Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T07:29:15.4016704Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:15.4016968Z env: 2025-09-07T07:29:15.4017149Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.4017472Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:15.4017801Z DEVICE_NAME: 2025-09-07T07:29:15.4017986Z DEVICE_TYPE: 2025-09-07T07:29:15.4018284Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873 2025-09-07T07:29:15.4018593Z ##[endgroup] 2025-09-07T07:29:15.4071243Z adding: test/test-reports/inference_timm_models.csv (deflated 62%) 2025-09-07T07:29:15.4102363Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T07:29:15.4102768Z # Remove any previous usage logs if they exist 2025-09-07T07:29:15.4103033Z rm -f logs-*.zip 2025-09-07T07:29:15.4103287Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T07:29:15.4103625Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T07:29:15.4108142Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:15.4108411Z env: 2025-09-07T07:29:15.4108586Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.4108891Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:15.4109220Z DEVICE_NAME: 2025-09-07T07:29:15.4109397Z DEVICE_TYPE: 2025-09-07T07:29:15.4109673Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873 2025-09-07T07:29:15.4109976Z ##[endgroup] 2025-09-07T07:29:15.4188854Z adding: usage_log.txt (deflated 97%) 2025-09-07T07:29:15.4200727Z 2025-09-07T07:29:15.4201363Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip) 2025-09-07T07:29:15.4225452Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T07:29:15.4225834Z # Remove any previous debugging artifacts if they exist 2025-09-07T07:29:15.4226115Z rm -f debug-*.zip 2025-09-07T07:29:15.4226332Z if [ -d 'test/debug' ]; then 2025-09-07T07:29:15.4226583Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T07:29:15.4226825Z fi 2025-09-07T07:29:15.4231426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:15.4231697Z env: 2025-09-07T07:29:15.4231869Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.4232199Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:15.4232536Z DEVICE_NAME: 2025-09-07T07:29:15.4232725Z DEVICE_TYPE: 2025-09-07T07:29:15.4233027Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873 2025-09-07T07:29:15.4233352Z ##[endgroup] 2025-09-07T07:29:15.4306923Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:29:15.4307184Z with: 2025-09-07T07:29:15.4307363Z s3-bucket: gha-artifacts 2025-09-07T07:29:15.4307600Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:29:15.4307848Z retention-days: 14 2025-09-07T07:29:15.4308040Z if-no-files-found: warn 2025-09-07T07:29:15.4308241Z path: test-jsons-*.zip 2025-09-07T07:29:15.4308424Z name: artifact 2025-09-07T07:29:15.4308604Z region: us-east-1 2025-09-07T07:29:15.4308776Z env: 2025-09-07T07:29:15.4308944Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.4309254Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:15.4309583Z DEVICE_NAME: 2025-09-07T07:29:15.4309755Z DEVICE_TYPE: 2025-09-07T07:29:15.4309936Z ##[endgroup] 2025-09-07T07:29:15.7123718Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:29:15.7124197Z With the provided path, there will be 1 file uploaded 2025-09-07T07:29:15.7124526Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:29:15.7159183Z Starting upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip 2025-09-07T07:29:15.8448352Z Finished upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip 2025-09-07T07:29:15.8616859Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:29:15.8617125Z with: 2025-09-07T07:29:15.8617315Z s3-bucket: gha-artifacts 2025-09-07T07:29:15.8617574Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:29:15.8617836Z retention-days: 14 2025-09-07T07:29:15.8618029Z if-no-files-found: error 2025-09-07T07:29:15.8618244Z path: test-reports-*.zip 2025-09-07T07:29:15.8618443Z name: artifact 2025-09-07T07:29:15.8618626Z region: us-east-1 2025-09-07T07:29:15.8618903Z env: 2025-09-07T07:29:15.8619076Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:15.8619467Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:15.8619803Z DEVICE_NAME: 2025-09-07T07:29:15.8619973Z DEVICE_TYPE: 2025-09-07T07:29:15.8620144Z ##[endgroup] 2025-09-07T07:29:16.1402756Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:29:16.1403130Z With the provided path, there will be 1 file uploaded 2025-09-07T07:29:16.1403459Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:29:16.1434960Z Starting upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip 2025-09-07T07:29:16.2708301Z Finished upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip 2025-09-07T07:29:16.2878954Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:29:16.2879214Z with: 2025-09-07T07:29:16.2879399Z s3-bucket: gha-artifacts 2025-09-07T07:29:16.2879664Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:29:16.2879927Z retention-days: 14 2025-09-07T07:29:16.2880262Z if-no-files-found: ignore 2025-09-07T07:29:16.2880476Z path: logs-*.zip 2025-09-07T07:29:16.2880659Z name: artifact 2025-09-07T07:29:16.2880838Z region: us-east-1 2025-09-07T07:29:16.2881005Z env: 2025-09-07T07:29:16.2881175Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:16.2881502Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:16.2881842Z DEVICE_NAME: 2025-09-07T07:29:16.2882017Z DEVICE_TYPE: 2025-09-07T07:29:16.2882219Z ##[endgroup] 2025-09-07T07:29:16.5703031Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:29:16.5703420Z With the provided path, there will be 1 file uploaded 2025-09-07T07:29:16.5703747Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:29:16.5737372Z Starting upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip 2025-09-07T07:29:16.6988763Z Finished upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip 2025-09-07T07:29:16.7150196Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:29:16.7150455Z with: 2025-09-07T07:29:16.7150640Z s3-bucket: gha-artifacts 2025-09-07T07:29:16.7150887Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T07:29:16.7151186Z retention-days: 14 2025-09-07T07:29:16.7151375Z if-no-files-found: ignore 2025-09-07T07:29:16.7151581Z path: debug-*.zip 2025-09-07T07:29:16.7151757Z name: artifact 2025-09-07T07:29:16.7151936Z region: us-east-1 2025-09-07T07:29:16.7152102Z env: 2025-09-07T07:29:16.7152277Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:16.7152610Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:16.7152965Z DEVICE_NAME: 2025-09-07T07:29:16.7153135Z DEVICE_TYPE: 2025-09-07T07:29:16.7153308Z ##[endgroup] 2025-09-07T07:29:16.9828632Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T07:29:17.0017043Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T07:29:17.0017355Z # shellcheck disable=SC2156 2025-09-07T07:29:17.0017760Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T07:29:17.0022771Z shell: /usr/bin/bash -e {0} 2025-09-07T07:29:17.0022978Z env: 2025-09-07T07:29:17.0023156Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:17.0023482Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:17.0023808Z DEVICE_NAME: 2025-09-07T07:29:17.0023987Z DEVICE_TYPE: 2025-09-07T07:29:17.0024164Z ##[endgroup] 2025-09-07T07:29:17.1934549Z Prepare all required actions 2025-09-07T07:29:17.1934929Z Getting action download info 2025-09-07T07:29:17.3926720Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T07:29:17.3927042Z with: 2025-09-07T07:29:17.3927345Z job_id: 49774397873 2025-09-07T07:29:17.3927706Z job_name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T07:29:17.3928483Z workflow_name: inductor 2025-09-07T07:29:17.3928695Z workflow_run_id: 17524754606 2025-09-07T07:29:17.3928911Z workflow_attempt: 1 2025-09-07T07:29:17.3929101Z env: 2025-09-07T07:29:17.3929270Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:17.3929614Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:17.3929951Z DEVICE_NAME: 2025-09-07T07:29:17.3930131Z DEVICE_TYPE: 2025-09-07T07:29:17.3930296Z ##[endgroup] 2025-09-07T07:29:17.3947535Z ##[group]Run echo "workflow_id: 17524754606" 2025-09-07T07:29:17.3947863Z echo "workflow_id: 17524754606" 2025-09-07T07:29:17.3948106Z echo "workflow_attempt: 1" 2025-09-07T07:29:17.3948330Z echo "workflow_Name: inductor" 2025-09-07T07:29:17.3948556Z echo "job_id: 49774397873" 2025-09-07T07:29:17.3948926Z echo "job_name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" 2025-09-07T07:29:17.3949303Z echo "artifact_prefix: " 2025-09-07T07:29:17.3949520Z python3 --version 2025-09-07T07:29:17.3954242Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:17.3954530Z env: 2025-09-07T07:29:17.3954704Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:17.3955028Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:17.3955379Z DEVICE_NAME: 2025-09-07T07:29:17.3955554Z DEVICE_TYPE: 2025-09-07T07:29:17.3955726Z ##[endgroup] 2025-09-07T07:29:17.3979790Z workflow_id: 17524754606 2025-09-07T07:29:17.3980088Z workflow_attempt: 1 2025-09-07T07:29:17.3982749Z workflow_Name: inductor 2025-09-07T07:29:17.3982951Z job_id: 49774397873 2025-09-07T07:29:17.3983268Z job_name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-09-07T07:29:17.3983617Z artifact_prefix: 2025-09-07T07:29:17.3996043Z Python 3.9.23 2025-09-07T07:29:17.4032055Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:29:17.4032300Z with: 2025-09-07T07:29:17.4032465Z shell: bash 2025-09-07T07:29:17.4032646Z timeout_minutes: 5 2025-09-07T07:29:17.4032833Z max_attempts: 5 2025-09-07T07:29:17.4033019Z retry_wait_seconds: 30 2025-09-07T07:29:17.4033401Z 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 2025-09-07T07:29:17.4033798Z polling_interval_seconds: 1 2025-09-07T07:29:17.4034013Z warning_on_retry: true 2025-09-07T07:29:17.4034210Z continue_on_error: false 2025-09-07T07:29:17.4034400Z env: 2025-09-07T07:29:17.4034571Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:17.4034896Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:17.4035231Z DEVICE_NAME: 2025-09-07T07:29:17.4035409Z DEVICE_TYPE: 2025-09-07T07:29:17.4035572Z ##[endgroup] 2025-09-07T07:29:17.6832964Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:29:17.7487854Z Collecting python-dateutil==2.8.2 2025-09-07T07:29:17.7806820Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T07:29:18.5529917Z Collecting boto3==1.35.42 2025-09-07T07:29:18.5635990Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T07:29:18.9757494Z Collecting pandas==2.1.3 2025-09-07T07:29:18.9865990Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T07:29:19.1002893Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T07:29:19.1017878Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T07:29:19.1055741Z 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) 2025-09-07T07:29:19.1060993Z 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) 2025-09-07T07:29:19.1061991Z 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) 2025-09-07T07:29:19.1563516Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T07:29:19.7882141Z Collecting numpy<2,>=1.22.4 2025-09-07T07:29:19.7978876Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T07:29:19.9646469Z Collecting tzdata>=2022.1 2025-09-07T07:29:19.9750547Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T07:29:19.9866399Z 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) 2025-09-07T07:29:19.9869245Z 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) 2025-09-07T07:29:19.9917561Z 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) 2025-09-07T07:29:20.0006821Z 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) 2025-09-07T07:29:20.0096174Z 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) 2025-09-07T07:29:20.0098121Z 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) 2025-09-07T07:29:20.1391359Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T07:29:24.5839844Z Attempting uninstall: boto3 2025-09-07T07:29:24.5840389Z Found existing installation: boto3 1.35.33 2025-09-07T07:29:24.5918112Z Uninstalling boto3-1.35.33: 2025-09-07T07:29:24.5927017Z Successfully uninstalled boto3-1.35.33 2025-09-07T07:29:24.6390415Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T07:29:25.4782743Z Command completed after 1 attempt(s). 2025-09-07T07:29:25.4831146Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T07:29:25.4831625Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T07:29:25.4832003Z  --workflow-run-id "17524754606" \ 2025-09-07T07:29:25.4832274Z  --workflow-name "inductor" \ 2025-09-07T07:29:25.4832524Z  --workflow-run-attempt "1" \ 2025-09-07T07:29:25.4832757Z  --job-id "49774397873" \ 2025-09-07T07:29:25.4833105Z  --job-name "inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" \ 2025-09-07T07:29:25.4833469Z  --local-path "" \ 2025-09-07T07:29:25.4833689Z  --artifact-prefix "" 2025-09-07T07:29:25.4838548Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:25.4838801Z env: 2025-09-07T07:29:25.4838977Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:25.4839293Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:25.4839621Z DEVICE_NAME: 2025-09-07T07:29:25.4839795Z DEVICE_TYPE: 2025-09-07T07:29:25.4839958Z ##[endgroup] 2025-09-07T07:29:26.4201160Z repo: pytorch/pytorch 2025-09-07T07:29:26.4201496Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T07:29:26.4202408Z Downloading logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip 2025-09-07T07:29:26.4202945Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_49774397873.zip 2025-09-07T07:29:26.4203600Z Converted Log Model: UtilizationMetadata: 2025-09-07T07:29:26.4204477Z UtilizationMetadata(level='metadata', workflow_id='17524754606', job_id='49774397873', workflow_name='inductor', job_name='inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1757227968, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-09-07T07:29:26.4205438Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-09-07T07:29:26.4205730Z [db model] Peek db timeseries 2025-09-07T07:29:26.4205933Z :{ 2025-09-07T07:29:26.4206100Z "created_at": 1757230166, 2025-09-07T07:29:26.4206298Z "type": "utilization", 2025-09-07T07:29:26.4206500Z "tags": [ 2025-09-07T07:29:26.4206668Z "record" 2025-09-07T07:29:26.4206842Z ], 2025-09-07T07:29:26.4207002Z "time_stamp": 1757227968, 2025-09-07T07:29:26.4207205Z "repo": "pytorch/pytorch", 2025-09-07T07:29:26.4207414Z "workflow_id": 17524754606, 2025-09-07T07:29:26.4207616Z "run_attempt": 1, 2025-09-07T07:29:26.4207791Z "job_id": 49774397873, 2025-09-07T07:29:26.4208359Z "workflow_name": "inductor", 2025-09-07T07:29:26.4208693Z "job_name": "inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", 2025-09-07T07:29:26.4209019Z "json_data": "{}" 2025-09-07T07:29:26.4209187Z } 2025-09-07T07:29:26.4209590Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17524754606/1/49774397873/metadata 2025-09-07T07:29:26.4210170Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17524754606/1/49774397873/metadata 2025-09-07T07:29:26.4210768Z Writing 432 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17524754606/1/49774397873/time_series 2025-09-07T07:29:26.4211365Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17524754606/1/49774397873/time_series 2025-09-07T07:29:26.5489686Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T07:29:26.5490026Z with: 2025-09-07T07:29:26.5490209Z env: 2025-09-07T07:29:26.5490380Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:26.5490717Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:26.5491075Z DEVICE_NAME: 2025-09-07T07:29:26.5491257Z DEVICE_TYPE: 2025-09-07T07:29:26.5491424Z ##[endgroup] 2025-09-07T07:29:26.5508222Z ##[group]Run set -eou pipefail 2025-09-07T07:29:26.5508495Z set -eou pipefail 2025-09-07T07:29:26.5508692Z  2025-09-07T07:29:26.5508956Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T07:29:26.5509269Z for _ in $(seq 1440); do 2025-09-07T07:29:26.5509513Z  # Break if no ssh session exists anymore 2025-09-07T07:29:26.5509760Z  if [ "$(who)" = "" ]; then 2025-09-07T07:29:26.5509975Z  break 2025-09-07T07:29:26.5510195Z  fi 2025-09-07T07:29:26.5510378Z  echo "." 2025-09-07T07:29:26.5510554Z  sleep 5 2025-09-07T07:29:26.5510733Z done 2025-09-07T07:29:26.5515510Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:26.5515767Z env: 2025-09-07T07:29:26.5515976Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:26.5516287Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:26.5516615Z DEVICE_NAME: 2025-09-07T07:29:26.5516779Z DEVICE_TYPE: 2025-09-07T07:29:26.5516949Z ##[endgroup] 2025-09-07T07:29:26.5540650Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T07:29:26.5615986Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:26.5616399Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:26.5616705Z # shellcheck disable=SC2046 2025-09-07T07:29:26.5616966Z docker stop $(docker ps -q) || true 2025-09-07T07:29:26.5617287Z # Prune all of the docker images 2025-09-07T07:29:26.5617528Z docker system prune -af 2025-09-07T07:29:26.5622243Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:26.5622507Z env: 2025-09-07T07:29:26.5622678Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:26.5623004Z DOCKER_CONTAINER_ID: 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:26.5623343Z DEVICE_NAME: 2025-09-07T07:29:26.5623523Z DEVICE_TYPE: 2025-09-07T07:29:26.5623701Z ##[endgroup] 2025-09-07T07:29:37.5174631Z 40570931eb7a 2025-09-07T07:29:38.0600050Z Deleted Containers: 2025-09-07T07:29:38.0600422Z 40570931eb7a3da20836640cd896b85703f4b40e41439891366e7b2a85045da7 2025-09-07T07:29:38.0600674Z 2025-09-07T07:29:45.7364443Z Deleted Images: 2025-09-07T07:29:45.7365219Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 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2025-09-07T07:29:45.8427829Z git version 2.47.1 2025-09-07T07:29:45.8462446Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/13aec72e-4a91-4c85-82fe-0bccae91e6e1/.gitconfig' 2025-09-07T07:29:45.8478850Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/13aec72e-4a91-4c85-82fe-0bccae91e6e1' before making global git config changes 2025-09-07T07:29:45.8479621Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:29:45.8483739Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:29:45.8522556Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:29:45.8562871Z [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' || :" 2025-09-07T07:29:45.8882899Z Entering 'android/libs/fbjni' 2025-09-07T07:29:45.8939075Z Entering 'third_party/FP16' 2025-09-07T07:29:45.9000793Z Entering 'third_party/FXdiv' 2025-09-07T07:29:45.9054328Z Entering 'third_party/NNPACK' 2025-09-07T07:29:45.9169637Z Entering 'third_party/NVTX' 2025-09-07T07:29:45.9175072Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:45.9233536Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:45.9303228Z Entering 'third_party/aiter' 2025-09-07T07:29:45.9368062Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:45.9426707Z Entering 'third_party/benchmark' 2025-09-07T07:29:45.9480040Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:45.9542455Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:45.9596227Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:45.9647103Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:45.9703416Z Entering 'third_party/cutlass' 2025-09-07T07:29:45.9771833Z Entering 'third_party/fbgemm' 2025-09-07T07:29:45.9824865Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:45.9882743Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:45.9940638Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:46.0002485Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:46.0064184Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:46.0124760Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:46.0179853Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:46.0237713Z Entering 'third_party/flash-attention' 2025-09-07T07:29:46.0294113Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:46.0359730Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:46.0424357Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:46.0489175Z Entering 'third_party/fmt' 2025-09-07T07:29:46.0549343Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:46.0604029Z Entering 'third_party/gloo' 2025-09-07T07:29:46.0660478Z Entering 'third_party/googletest' 2025-09-07T07:29:46.0718579Z Entering 'third_party/ideep' 2025-09-07T07:29:46.0776103Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:46.0839497Z Entering 'third_party/ittapi' 2025-09-07T07:29:46.0893513Z Entering 'third_party/kineto' 2025-09-07T07:29:46.0945228Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:46.1000201Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:46.1056782Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:46.1112643Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:46.1168048Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:46.1223012Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:46.1283874Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:46.1338066Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:46.1393632Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:46.1448846Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:46.1506947Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:46.1561147Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:46.1618982Z Entering 'third_party/kleidiai' 2025-09-07T07:29:46.1673716Z Entering 'third_party/mimalloc' 2025-09-07T07:29:46.1727218Z Entering 'third_party/nlohmann' 2025-09-07T07:29:46.1788506Z Entering 'third_party/onnx' 2025-09-07T07:29:46.1861381Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:46.1923255Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:46.1981143Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:46.2040670Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:46.2098839Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:46.2159810Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:46.2213140Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:46.2274978Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:46.2328622Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:46.2382742Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:46.2440154Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:46.2504676Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:46.2575512Z Entering 'third_party/pocketfft' 2025-09-07T07:29:46.2637089Z Entering 'third_party/protobuf' 2025-09-07T07:29:46.2695878Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:46.2749191Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:46.2808265Z Entering 'third_party/psimd' 2025-09-07T07:29:46.2867721Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:46.2924332Z Entering 'third_party/pybind11' 2025-09-07T07:29:46.2979919Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:46.3036560Z Entering 'third_party/sleef' 2025-09-07T07:29:46.3095975Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:46.3151600Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:46.3204873Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:46.3263388Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:46.3318127Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:46.3372868Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:46.3451366Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:29:46.3472609Z http.https://github.com/.extraheader 2025-09-07T07:29:46.3478930Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T07:29:46.3507462Z [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' || :" 2025-09-07T07:29:46.3827617Z Entering 'android/libs/fbjni' 2025-09-07T07:29:46.3867290Z http.https://github.com/.extraheader 2025-09-07T07:29:46.3903126Z Entering 'third_party/FP16' 2025-09-07T07:29:46.3942965Z http.https://github.com/.extraheader 2025-09-07T07:29:46.3980798Z Entering 'third_party/FXdiv' 2025-09-07T07:29:46.4017667Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4058398Z Entering 'third_party/NNPACK' 2025-09-07T07:29:46.4097026Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4133241Z Entering 'third_party/NVTX' 2025-09-07T07:29:46.4175804Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4212672Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:46.4255595Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4293648Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:46.4331400Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4381236Z Entering 'third_party/aiter' 2025-09-07T07:29:46.4417765Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4456532Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:46.4493045Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4533845Z Entering 'third_party/benchmark' 2025-09-07T07:29:46.4574865Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4614170Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:46.4649515Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4693970Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:46.4729680Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4763756Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:46.4801601Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4837892Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:46.4885280Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4917735Z Entering 'third_party/cutlass' 2025-09-07T07:29:46.4955675Z http.https://github.com/.extraheader 2025-09-07T07:29:46.4998337Z Entering 'third_party/fbgemm' 2025-09-07T07:29:46.5036015Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5072755Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:46.5109030Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5145215Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:46.5180205Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5222800Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:46.5257436Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5299265Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:46.5330666Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5378602Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:46.5412020Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5449447Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:46.5487733Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5521032Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:46.5562124Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5597712Z Entering 'third_party/flash-attention' 2025-09-07T07:29:46.5632429Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5670413Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:46.5708065Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5746901Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:46.5788511Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5833098Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:46.5871646Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5905830Z Entering 'third_party/fmt' 2025-09-07T07:29:46.5941536Z http.https://github.com/.extraheader 2025-09-07T07:29:46.5978649Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:46.6019518Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6061206Z Entering 'third_party/gloo' 2025-09-07T07:29:46.6092191Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6126434Z Entering 'third_party/googletest' 2025-09-07T07:29:46.6164205Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6199623Z Entering 'third_party/ideep' 2025-09-07T07:29:46.6237352Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6277281Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:46.6310850Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6352606Z Entering 'third_party/ittapi' 2025-09-07T07:29:46.6389234Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6431482Z Entering 'third_party/kineto' 2025-09-07T07:29:46.6467372Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6503726Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:46.6539750Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6573690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:46.6614682Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6648751Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:46.6684860Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6717934Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:46.6754902Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6793320Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:46.6830677Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6862137Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:46.6899828Z http.https://github.com/.extraheader 2025-09-07T07:29:46.6942909Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:46.6980273Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7014433Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:46.7052033Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7090102Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:46.7127416Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7164322Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:46.7202726Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7240270Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:46.7280774Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7320278Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:46.7359766Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7398607Z Entering 'third_party/kleidiai' 2025-09-07T07:29:46.7435902Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7473706Z Entering 'third_party/mimalloc' 2025-09-07T07:29:46.7509643Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7544281Z Entering 'third_party/nlohmann' 2025-09-07T07:29:46.7580640Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7621908Z Entering 'third_party/onnx' 2025-09-07T07:29:46.7656880Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7710167Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:46.7752551Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7790168Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:46.7822386Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7860030Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:46.7892773Z http.https://github.com/.extraheader 2025-09-07T07:29:46.7924066Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:46.7964459Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8000011Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:46.8038480Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8079816Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:46.8119019Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8154712Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:46.8196968Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8231578Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:46.8270505Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8306060Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:46.8341133Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8380266Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:46.8415458Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8455268Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:46.8492578Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8525522Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:46.8563480Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8616001Z Entering 'third_party/pocketfft' 2025-09-07T07:29:46.8661899Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8698250Z Entering 'third_party/protobuf' 2025-09-07T07:29:46.8737237Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8780388Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:46.8819772Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8858909Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:46.8900287Z http.https://github.com/.extraheader 2025-09-07T07:29:46.8930413Z Entering 'third_party/psimd' 2025-09-07T07:29:46.8972806Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9014324Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:46.9053435Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9094534Z Entering 'third_party/pybind11' 2025-09-07T07:29:46.9130002Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9165866Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:46.9204946Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9237826Z Entering 'third_party/sleef' 2025-09-07T07:29:46.9274323Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9322704Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:46.9357901Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9402673Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:46.9437068Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9474444Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:46.9510629Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9553320Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:46.9589339Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9624521Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:46.9661739Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9696460Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:46.9732733Z http.https://github.com/.extraheader 2025-09-07T07:29:46.9869139Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T07:29:46.9895169Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T07:29:46.9899130Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:46.9899400Z ##[endgroup] 2025-09-07T07:29:46.9993293Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T07:29:56.8705625Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T07:30:13.7550652Z Cleaning up orphan processes